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A Inpartialrequirementofthe fulfillmentfor in ofdegree Master the ofArts NALYSIS AND ESTIMATI AND NALYSIS EconomicPolicy on Supervisor: Professor AttilaSupervisor: Ratfai CentralUniversity European Department ofEconomics IN JamilaMammadova Budapes A Submitted Submitted to ZERBAIJAN ON OF THE REGIONAL P REGIONAL THE OF ON 2013 By t, Hungary t,

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CEU eTD Collection Keywords advancement approach policymaker government. the by considered be to needs which development, regional for potential inregions reconsidered largewhereasand stronge the in estimated are which of effectiveness the enterprises; policy estimation

st The research analyzes the ongoing regional policy in and Azerbaijan in policy regional ongoing the analyzes research The f h country the of

, effect o effect

. : regional development, regional regional: development, policy,

of of At the samethetime,a At mrvmn o te ntttoa framework institutional the of improvement s shall consider diversification of the regional policy, like introduction of program program of introduction like policy, regional the of diversification consider shall s . .

its effectiveness for effectiveness its The other importantfind The other f

mediumconstructional the regionalthe

r cntutoa ivsmns n spot f ml ad medium and small of support and investments constructional are n establishment of higher educational entities in regions has a high high hasa ofin higher regionsneducational entities establishment tools

the regional development. The most used tools used most The development. regional the

is achieved by the support of small and medium enterprises, enterprises, medium smalland of support the by achievedis ing is that the regional policy does not affectreal the wage not does thepolicy is regional ing that A investments are the leasteffective investmentsthe are BSTRACT i

regionali

, and investments in technological technological in investments and , nequality thesis .

The results show that the the that show results

ones, ones, conducts the OLS OLS the conducts in and need to be needto and

the regional regional the Also, the Also,

CEU eTD Collection people an me study giving to opportunity for CEU to gratitude warm my express like also would I research. the during without whom mywithout I would like to thank to like would I

here . education

I would also like to express to like also would I

my supervisor, Professor Attila Ratfai, for his important advices important his for Ratfai, Attila Professor supervisor, my A

would be impossible.bewould CKNOWLEDGEMENTS ii

deepest thanks to my parents parents my to thanks deepest

and close close and

CEU eTD Collection B A A P C C C C I of Table NTRODUCTION OLICY IMPLICATIONS A IBLIOGRAPHY HAPTER HAPTER HAPTER HAPTER PPENDIX PPENDIX 4.3. Theresults4.3. of estimation The4.2. DataDescription4.1. mainThe3.3. regionalofinthe characteristic Azerbaijan policy stateTheprograms other 3.2. announcedby country the 2009 for ProgramState 3.1. Socioon Regional2.2. inpracticeand policy theory Regional2.1. ininequalityempiricsand theory 1.3. 1.2. 1.1.

Measurement of inequalityofMeasurement itsdynamics and Economic,structural, andsocial, differencesdemographic among regions the Economicregional division 2. 1. 4. 3. 2 1 - C methodologymodel and the 2013 years2013

E R R O ...... ONTENTS STIMATION OF THE MOD EGIONAL POLICY IN EVIEW OF THELITERAT VERVIEW OF REGIONAL

......

......

ND CONCLUSIONS ......

- Economic RepublicDevelopment oftheAzerbaijan Regions of of

...... A ZERBAIJAN URE ON REGIONALURE ON INEQ ......

...... EL INEQUALITY IN

......

......

......

...... iii ......

A ......

...... ZERBAIJAN ......

...... UALITY ......

......

......

64 60 57 52 48 47 44 41 38 37 30 29 23 19 19 16 8 7 6 2

CEU eTD Collection OLS GDP R&D FDI DevelopmentofAzerbaijan Republic NFES AzStat

– Foreign Direct InvestmentsForeignDirect

OrdinarySquares Least

GrossDomestic Product – ResearchDevelopmentand NationalunderFundof Entrepreneurship Support Ministry the ofEconomic

TheStatisticalState RepublicofCommittee theAzerbaijan of

List of List

ABBREVIATIONS 1

CEU eTD Collection the captures estimating to approach programs the of monitoring and and components different slightly are aspects these and contributes (2006) research per cap regional output is that country inthe area other no is there and city, capital otherwise develop not investments the of inequality regional the by

,

regional disparities that that disparities regional The aim of this research is to analyze and estimate the regional policy in Azerbaijan. inregional policythe analyzeestimate and to is research this of aimThe 2009 Since pointing out the main aspects of of aspects main the out pointing who adapts

to to have been have effect of contributing factors on the regional growth, regional the on factors contributing of effect

the current the in policies regional the study

the fetvns, transparency effectiveness,

Azerbaijan approaches .

ita. within the country the within the Ac government the by made

research with research cording to cording effectiveness has been implementing been has

of ae o been not have . We are having this liberty in order to reform oursocialorderreform Welibertythisin to are system,having

two analyses two The latter latter The from

statistics, which I

NTRODUCTION the his of of . the evaluation the The reason to launch the program launch the to reason The

a

qualitative analysis of the Croatian regional policy, policy, regional Croatian the of analysis qualitative Croatian case Croatian is full of full is

regional policy through through policy regional and work iiaig infcnl oe time over significantly mitigating 2

the rai ad China, and Croatia by

even before even efficiency

economic center of the country country the of center economic Vedran Dulabic (2011), and (2011), Dulabic Vedran which conflict withwhichrights.” ourfundamental conflict influences

inequality, discrimination and otherinequality,discriminationand things, a

of the regional policy. For Azerbaijan, For policy. regional the of s

tate tate ;

“What are weare“What libertythisfor? having and at

approach, and institutional system system institutional and approach,

least halfleast p

the program as the regions could could regions the as program the h cret research current the rogram that aims at reduction of of reduction at aims that rogram these aspects aspects these

and includes the major policy policy major the includes and an respectively as as

econometric developed in terms of of terms in developed was are B.R. Ambedkar B.R.

Zhang and Fan and Zhang administration, the persist the . .

T The former former The has been has he hog its through model that that model

regional ence The The

its its

CEU eTD Collection crucialregionalthefor policymaking effectivenessofregional and programs weight low very a in andhelp governmental 2006) like inequalities intervention. it that fact the 2011). by complicated Lessmann, in cited as (2005) al. et Elbers inequality regional growth economi circles (hereinafter most indicators of effects 2003) ide the ofeffectiveness different. is methodology the Nevertheless, tools. tf ky oiy ntuet ad xgnu non exogenous and instruments policy key ntify , and then run a run then and , . tool used

, cause political c politicalcause , However, the world practice world the However, R today c consequences on consequences c eg . Out of Out .

ional inequality represents inequality ional netet, icutd loans, discounted investments, referred to asOLS) referred to In order to to order In .

G h ise f egahcl iprte embodies disparities geographical of issue The s oa experience lobal

that of that by these these

program is h sae program. state the

regression accountable subsidization did not bringsignificant not did subsidization

perform an estimation of the policy and get some conclusions about conclusions some get and policy the of estimation an perform Great Britain (Armstrong and Taylor, 2000) Taylor, and (Armstrong Britain Great four contributing four oncerns, and make an make and oncerns, Brir 2003) (Barnier, the , I follow the standard approach to policyevaluation, to approach standard followthe I

national level national

regressionfixedwithpanelof the effects. data tends to worsen over time in case of of case in time over worsen to tends . T . shows he econometric model econometric he for has .

applied for the econometric model econometric the for applied one of the of one

determination of determination h etmto i md b te O the by made is estimation The a also also .

factors, the first two are of are two first the factors, successful cases cases successful hr o the of third This dcto, n structure and education, less positive less since underperforming areas slow areas underperforming since

economy volatile economy

3

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and empirics empirics and on the regional development development regional the on

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Table 1, and it it and 1, Table

for all regions allfor - employed or or employed

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Khachmaz a

region Guba infcn role significant 8.06 . Since . regional disparities regional . T lower

- he s . This limitation is not very strong strong very not is limitation This .

possible the interest is interest the

Aran 5.53 education and education w in different regions, which which regions, different in w

aor contract labour

for limitation of this table is limitationtablethis of Shirvan Daglig 6.25

(Benneworth, 2001) (Benneworth, captur with higher share of of share higher with

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in 2 in be summarized insummarized

011 higher educational entities in the countryin the entities higher educational r selected are olwn ot f the of out following fewrs te ubr f hs entities those of number the Afterwards, the . The absence of sufficient amount of higher educational entities across the regions regions the across entities educational higher of amount sufficient of absence The . . Among the regions, Absheron and Nakhchivan have similar results of 38.2% and 38.2% of results similar have Nakhchivan and Absheron regions, the Among .

25%. data on education and crimes per region. per crimes and education on data highe

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Khachmaz with 19.2%. 19.2%. with Khachmaz st and :

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- - - e Khachmaz Zagatala Gazakh last

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Number of higherNumbereducationalofby economic entities2010 regions, indicator indicator

n cn conclude can One

higher educational entities than the other regions other the than entities educational higher in of education, the number of PhD PhD of number the education, of

the table above, the capital city is incomparably more developed in terms inmoreterms incomparablydevelopedis capitalcity the above, table the

among formation

any

The absence of people of academic career in regions is obvious from from obvious is regions in career academic of people of absence The regions’ PhD graduates does not reach 0.01%, and in Baku the the Baku in and 0.01%, reach not does graduates PhD regions’

the regions.the –

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entities educational Number higherof PhD certain

graduates in 2011, 2011, in graduates

inl o sca ecuin here exclusion social of signals 15 , Author’s Author’s work own ,

42 3 1 4 1 2 2 5 2

graduates 368 fall on Baku. Baku. on fall 368 ,

. is It must be also mentioned also be must It lo informative also Baku than other

ca r e which , er In percentage percentage In , and number number and ,

since it it since is not not is are are CEU eTD Collection countries here for inequality the of measurement inequality of measurement index GINI variation, of coefficient capita. 1.3. disparitiescapitalthe across oth and rational same officiaregistered dimens demographic wholeiscountry107 regions and 996, is kilometer of year the dimension leading exclusion The variable used for the measurement of the regional inequality is the regional output per per output regional the is inequality regional the of measurement the for used variable The demonstrated not is population of distribution the that surprising be might It population of Density As Afterwards, . Measure for hr ae eea tcnqe t maue h lvl f inequalities of level the measure to techniques several are There area of crimes to population ofareato crimes the maximum density captured captured density maximum the I adto t ta, this that, to addition In .

. The .

and

the 2012, and the results are not surprising. In Baku In surprising. not are results the and 2012, e

do number of crimes of number can be appli be can

information on information ment lly, and, thus, thus, and, lly,

not indicate any indicate not the

ion peopleper

it is it ofinequality acltd ubr ae oprd o those to compared are numbers calculated Te esn s ht h mjrt o people of majority the that is reason The .

the highest population density among the among density population highest the distribution ed o Azerbaijan for

the to the statistics of density described above, but above, described density of statistics the to

1 squarekilometer. 1 density population the ,

official data on pop officialon data the EU countries EU the the data data the

reduced

er regions evenhigher.er are technique with slight slight with and its dynamicsandits ,

s ae a a epaaoy atr o the for factor explanatory an as taken is and s 6 i Aseo, hra average whereas Absheron, in 161 is .

do security hi index Theil The

is 16 distinction suppor not

tde ad used and studied technique

(George Petrakos, 2005) Petrakos, (George in the in ulationdistribution

in the in Ol te is to r ue in used are two first the Only .

t though

lagging regions lagging the , the number of people per people of number the , o cluain f hm is them of calculation for

economic regions economic hoeia expectation theoretical .

for comparative analysis of of analysis comparative for

studied areas. For the other other the For areas. studied indicators live that

can be misleadingbe can . In fact, In .

ie a/i ratio max/min like

and

,

n au r not are Baku in

in this case this in density for the the for density is available available is

of some other other some of is

demographic demographic

also also Baku is the is Baku

of social social of

1 square 1 used applied applied for . ,

The The the the the for in in ,

CEU eTD Collection n P P y CV Where inequalitiesincountriesvarious Malekovic and Puljiz by applied represents narr not is data the as comparisons some 2011) Croatia i tot i

= number=of regions = national= averagevariableofexamination the under = variablei inexamination= under region = population= i in region

= national= population The –

. coefficientofvariation in parameter w of country limitation :

Jka ujz 2007) Puljiz, (Jakša aclto o the of calculation

an outlier of a large group of people. As to the coefficient the to As people. of group large a of outlier an s

since it puts too high stress on the outlie the on stress high too puts it since

maximum ,

and

is

applied o esr ieulte fr eeoig countries developing for inequalities measure to

owed down to individual income, income, individual to down owed (2007) (2007) - minimum ratio ratio minimum

for Azerbaijan:for n Lessman and 17

has

a

rs. Nevertheless, it is worth making worth is it Nevertheless, rs. simple (2011)

technique, in their measurements of of measurements their in

of variation, the formula the variation, of and the regional outlier outlier regional the and but but has

(Lessmann, (Lessmann,

certainly certainly

CEU eTD Collection tr slow too inequality of of that than higher is Azerbaijan in inequality regional current problem the of topicality the revealing in Latvia, for of perception variation that that situation better much indicate time over Azerbaijan in Source: Table and 2011. 2008, the

ansitionlikeeconomiesCroatia or 2011 2008 2006 Indonesia the coefficient o coefficient the Indonesia coefficient of variation of coefficient 4

According to the estimation, the dynamics signal dynamics the estimation, the to According inequality,the regional of capture dynamics the to Inorder

AzStat, Regional

to concludeto n rai i 00 is 2000 in Croatia in ratio Min/max and and in 2000. 2000. in the 12.6 20.1 19.3

it

Author’s calculationsown Ther Azerbaijani figures Azerbaijani is i nequality

equal to 0.74, and the max/min ratio ratio max/min the and 0.74, to equal a esultspresentedinare 4 Table

Despite positive tendency positive . Nevertheless, the results of the same the of results the Nevertheless, . for the regional output per capita per output regional the for measurement Coefficient of f variation is variation f the fact that fact the variation 0.39, and min/max ratio of 3. of ratio min/max and 0.39, 1.4 1.7

2 Hungary. . The highest coefficient of variation of coefficient highest The .

for Azerbaijan for . T .

in Azerbaijan. By the same token, token, same the By Azerbaijan. in

results

he pace of the reduction is much slower than in other inother than slower much is reduction the of pace he again lower, again the

18 problem

for Azerbaijanfor ;

the numbers are rounded to numbersdecimal.theone rounded are to . Simple comparison tells that the level of of level the that tells comparison Simple

has and is and a for the same country country same the for

reduction of the regional inequalities regional the of reduction a

was estimated for the years 2006, 2006, years the for estimated was 0 the diminishing

, w , calculations precisely country with with country maximum/minimum ratio and and maximum/minimumratio hich questions the optimistic optimistic the questions hich

equal to to equal 2000 in

trend

for Croatia in 2000 2000 in Croatia for the coefficient of of coefficient the is 4. is the , it is it , was estimated estimated was 1.2 3. 3. highest , Moreover, ,

possibly which is which

level

,

CEU eTD Collection and migration cause and people more attract to tend inhabitant per output higher with countries growth further its and agglomeration diminishing closer locate explain of saving is center one in agglomeration models. macroeconomic 2.1. failures applied policy the theories as mitigationofthe investigateexplanations regionalempirics;oftheinpolicies inequalitythe to and aimed theory at policy the of effectiveness problem the unde to important disparities. regional

disparit Regionalintheoryinequality s

As a find can one Today, C

are captured and adaptedincaptured are

discussed further discussed the regional disparities by existence of the transportation costs, which force which costs, transportation the of existence by disparities regional the HAPTER

ies between ies a sae erir te einl cnmc hois r sll bsd n the on based solely are theories economic regional the earlier, stated was . This understanding helps to to helps understanding This . ot o te transportation the of costs to each other other each to

(Aguayo, 2004) (Aguayo, problem rstand the rstand by different countries different by 2 In order to analyze and estimate the regional policy in Azerbaijan, it is is it Azerbaijan, in policy regional the estimate and analyze to order In .

R countries for EVIEWOF THE L According to to According . Mostly, regional disparities are studied and explainedstudiedandare disparitiesregional Mostly, .

are adapted inthe adapted are

western and central Europe. The hypothesis of the research was that that was research the of hypothesis The Europe. central and western and, ultimately, agglomerate. The limitations of this approach are approach this oflimitations The agglomerate. ultimately, and, in

world experience experience world

the country the , trying to establish the dependency between between dependencythe establish tryingto ,

, just , o o research of lot

and empirics and assessment ofassessment Azerbaijani

with some additional consideration of regional details. regional of consideration additional some with the core model of regional economics regional of model core the

. Thereby, t Thereby, . economic agents economic today in this field is field this in conduct analysis conduct ITERATURE analysis of Azerbaijani regional Azerbaijani of analysis in . 19

The conducted by many economists that that economists many by conducted

regional r he aim of this chapter is to analyze existing existing analyze to is chapter this of aim he i a eprcl td o the on study empirical an is e studied, and the reasons of success and and success of reasons the and studied, ON REGIONALON INEQUALI

policymaking on the transportation cost transportation the on and estimation and regional policymaking. policymaking. and attractiveness of area area of attractiveness of the relevance and and relevance the of

inequality. possible sources of of sources possible , the root cause of of cause root the , in

the same way way samethe s . In .

TY

s inertia of of inertia

Besides explain firms to to firms

sum, it sum,

The The

the s ,

CEU eTD Collection demand development regional the for stimulations estimated. count economic is humancapitalotherwise is following: support to order 19 the of beginning the exactly is theory this behind point this continuedbe to stated is growth development regional in differences the explains inintegrated the model,is also Solow thegrowth, ininvestmentsinfrastructureshall regions. the bringdevelopment to true is theory this If infrastructure. in investments theory save helpregionscosts, to the explaining was It agglomeration. time over

positively population growth. growth. population ries including Azerbaijan, including ries and the estimation estimation the and The Nevertheless, depends

growth is growth andarguable the technological improve technological the the reason of underperformance of the regions is lack of capital of lack is regions the of underperformance of reason the h Kyein income Keynesian The monetary correlated with the with correlated

on a market multiplier. market a on their th not all theories necessarily support allsupport necessarilynot theories

century. stimulations

. Despite theory this of Adaptation development. The other explanatory Theother su

offervaluehigheradded, ggest that in order to reallocateeconomicactivities to in order that ggest

I

do

Azerbaijan n

with a capital influx capital a with investments, h ter suggestions, theory the islongmoreaforrelevant

not always bring positive results positive bring always not of growth growth of reason ment - xedtr approach expenditure

The only

;

why and

h gvrmn ivss n h regions the in invests government the complexity comes complexity lack is and 20 ht r ue a a oiyaig ol y many by tool policymaking a as used are that can can parameter

it states that that states it

h cptl rnfr wr s popular so were transfers capital the main idea of the theory theory the of idea main analysis of the regional economics. regional analysisthe of through

induce attract aforceattract and work further. develop The for the regional growth in Azerbaijan, then then Azerbaijan, in growth regional the for until the regional steady regional the until investments.

in the framework of the growth model in frameworkgrowth ofthe the of the differences in capital in differences the a further development. further a the relationship of population and and population of relationship the - term ehooia improve technological discusses h efciees f the of effectiveness the

analysis from the fact the from

n u analysis our in

either Theneo

the local government government local the

(A.F.Darrat, 1999) (A.F.Darrat, , and, and, , that that if the if - - classical model of classicalmodelof state level, and at at and level, state there is a need in need ais there that a that more developed developed more thus, need to be to need thus, ir development development ir

The rationale The

ment implies stocks

The theory Thetheory

s well as multiplier boost of of boost

and/or in the the in . The The .

. the the

in in

CEU eTD Collection inequality regional the to contribute conditionally they that shows eventually and investments governmental the of efficiency the on concentrates analysis The development. the of effectiveness Azerbaijan to relevance particular under regions the to suitable most factors different analyzed and patterns estimationof at data 2003) Faggian, (Alessandra data statistical and region each for separately calculated is multiplier The results. low bringing are stimulations the and lower, gets multiplier the high, is import to propensity propensity and consume to propensity by determined is model in multiplier market the aforementioned, the Given nation. functioning are and the of inefficiency is government the effect When investments. negative possible other The effect. spillover interregional an the import, improved stimulations the Through imports. further on investments their spend to likely are lowwheproductivityandinitiallyis turn pushes in and demand which local places, improves job new create companies new that fact the given economy local the may

have both negative and positive effects. Support of the local businesses positively affects affects positively businesses local the of Support effects. positive and negative both have

Research into into Research level regional

in effects of effects

one region can end up with up end can region one at

einl le regional public stimulation public

with is not possible not is the the

the otiuig factors contributing governmentstimulations , and ,

e. The vel. ep of help

the the n - is technique to be applied applied be to upre ente supported

a the local economy depends on imports, newthelocal on enterprises depends economy the

s provisions h wr of work the oa eooy p O te te hn, whe hand, other the On up. economy local

for regional a

the higher growth in the other region other the in growth higher

21 of the calculation the of

for regional dispar regional

utpir a cluae b svrl studies several by calculated was multiplier only,

for regional pie ae o cpbe of capable not are rprises for Azerbaijanfor hn ad a (06, h s who (2006), Fan and Zhang Azerbaijan hi eitne s ls fr h whole the for loss a is existence their development the

to import on regional level. If the the If level. regional on import to ities reduction for Chinese rural rural Chinese for reduction ities . ensa income Keynesian is

Nevertheless, the necessity of of necessity the Nevertheless,

can be easilycanbe here. concluded simple but simple requires

a followed has investigation

due to the lack of of lack the to due s generat , which is which ,

large scope of of scope large reduction - expenditure expenditure n tudies

ing the local local the

various

. called . The The . profit profit

In a a In the the

CEU eTD Collection in need structure a of is convergence there sometimes side, other the From improvement. technological the through 2010) development regional in role a play also can governmental end may discussed previously the to Similarly insignificant be to estimated are inequality regional the of reduction at aimed spending foreignwhereasisinvestments ofsignificant, mostregion.The effect governmental the direct the ismodel econometric The regions. the across attraction investments direct foreign unequal by caused Selvanathan and Tang by performed to due pro ofcontinuation result explainedasthe inequality.Interestingly,regional the for efficient most the are R&D and education in investments government that results different the present also authors finding,the ultimately areas lagging the in up end not did investments indeed investments ,

higherreturns Kwa 2003) (Kawka, that believe economists Some A also also

- similar attempt to establish the factors contributing to contributingto factors establishthe to attempt similar , up

eaie correlation negative a regression that isregressiona that tr stimulations being

incenter the oiiey corre positively inefficient. . From s .

cos h regions the across the

between . These works show the importance of evaluation of the the of evaluation of importance the show works These yingestimate alongfactorsall to with contributing the

n sd, pcaiain can specialization side, one

the majority of the investments worsen inequality, which is is inequality,whichinvestments worsen the majorityof the (2005). The hypothesis states hypothesis The (2005). lates a case structure structure tmltos and stimulations

, with - this central allocation of the investments of government ofgovernment investments centralthe of allocation s ta lgig areas lagging that so , 22 n, hs ne t b considered be to need thus, and,

research

of productivity . It implies that for some regions there is, is, there regions some for that implies It .

from region

different types of investments and find find investmentsand typesof different show al economie al einl growth regional

s increase a regional productivity productivity regional a increase regional inequality in China was was China in inequalityregional n China in

that that

that the region inequality is is inequality region the that in some cases cases some in may s and , but some of those those of some but , I adto t this to addition In . catch their their the - up (Kowalewski, (Kowalewski, specialization specialization reduction of of reduction

stimulation with more more with FDI pe FDI

at at all r .

CEU eTD Collection inefficiency,iswhich bring might regulation a such that is second and invest, to refuse might locality about making of amount the reduce might they first, successful controversially is policy this that argue 238) page (2000, Taylor and Armstrong Nevertheless, implied It transfers. capital with engaged mostly were They promi approach interventions the of beginning policymaking regional the authors, the by captured brilliantly and studied was policymaking recommendations Hence, follows 2.2. isregionsagriculture. ones developed R nent in the regional planning, and planning, regional inthe nent egional policy in theory and practiceegionaltheory policy and in

h hsoy f develop of history The policymaking, regional the in country inexperienced an is Azerbaijan Since a general a the same strategy same the was Te an oneagmn aant the against counterargument main The .

like mostly used in 1950 in used mostly .

This fact can be also check also be can fact This 19 review of review

for the regionalthefor development h investments the th

an centur undesirable problem in the moderninundesirablecompetitive problem the

over time over

existing a y

high government intervention government high up to today. The earliest approach earliest The today. to up ment the - , 1960s. In addition to that, the regional agencies were very very were agencies regional the that, to addition In 1960s. policy measures and tools is crucial is tools and measures policy

in and

industrial

of their regulation was performed by performed was regulation their construction construction investments a been has

it cnmc huh i te rmwr o regional of framework the in thought economic d

oes ed for Azerbaijan, where the main activity in the the in activity main the where Azerbaijan, for ed

23 in

control and/or and/or control

not try not Azerbaijan.

developing oto o bsns allocations business of control per se per of housing or or housing of Stimson and Stough and Stimson to apply some some apply to , as firms bounded in their decision decision their in bounded firms as , in a in

n varying and industry

es general economic atmosphere economic general

involved other other changes in its approach its in changes world for the for al

a (2008). According to to According (2008). location

central government. government. central infrastructure. vrie from overtime strong .

assessment and and assessment s

government is twofold: twofold: is ln with along it

mostly

This the the . .

CEU eTD Collection it have to not group left on by which of possession the good, positional of argument the competitive a brings The it. to advantage which technology, its in development further has obviously progress sustainableincreaseratherthe growth justper than domesticregion. the gross of product also a countries. the among or countries atmosph economic local the influences which regions, certain of advantages the raised isregionspilled over policy regional concentrationover isinnovation parks when realized. period It exactlythe of importance of realization full the when 1980s, after is which goals was approach monetary n

low improvementofa

taken into consideration. Technology, efficiency, environment became the key features of of features key the became environment efficiency, Technology, consideration. into taken Te te iprat eeomn o eooi tikn ws h fcs n value on focus the was thinking economic of development important other The . protection attributable to to attributable protection n short, In impact final the least, not but Last A , in fact, in , . Opening . tr ul lmnto o te od tnad and standard, gold the of elimination full fter su of issue that

techno

a focus on technology on focus a the up

problem of of problem

ti

national the I ght sustainable development. The large conglomerates are mostly using using mostly are conglomerates large The development. sustainable n the of paradigm of boarders of oy gi bcms ky factor. key a becomes again logy

this (Pan A. Yotopoulos, 2007) Yotopoulos, A. (Pan others en a s the regions one to another; to one regions the s oiaig ol n osig cnmc development economic boosting in tool dominating

competitive environment competitive competitiveness .

asymmetric the modern the is a win/lose situation, and with low government intervention government low with and situation, win/lose a collaborative advantage collaborative

and productivity and

on regional policymaking was policymaking regional on

technological technological period, there is a large a is there period, as well. as 24

.

According to Pagano to According

In addition to Inadditionth to started the regional development might serve as as serve might development regional the

n yti approach this by and tool dominating the into switched It . the development can be also also be can development

h tcnlgcl advancement technological the h ae with area The

being the Wood, Bretton the to switch

was rapidly growingrapidly was e group of economies force economies of group e

establish risk of risk at, qualityat, isthe growth of

high a (Pan A. Yotopoulos, Yotopoulos, A. (Pan shift globalization, which which globalization, ing ere , . s

benefits

A of productions productions of

and achieving achieving and tech of of fter1990 . criticized Ii Ii almost almost nological implies

- of one one of ad

s the the s ded, ded, - was was s

all by ,

a a

CEU eTD Collection inefficiency by caused was sea a was wasengagedin regional It as earlypolicy as the well. as policy provide practice and international experience the policy, regional a mostadvancedofmodernthe oftoolstheeconomic conditions. see is regions, certain across them of distribution and patents of like acquisition support, relations.industrial improvethe to innovation,and stimulate enterprises medium and small progress. technological ones of custom administrativeor requirements thr realized be can latter the and support; ed like measures through achieved be can former The capital. and/or labour the of reallocation find can one tools presented of list the In on countries. with up catch to regions lagging disadvantages and 2007)

regional agencies. regional technology intechnology the ad hs tos r suppo are tools those and ; , the positional good of the modern society is nothing but but nothing is society modern the of good positional the , Despite the fact that that fact the Despite the define 233) page (2000, Taylor and Armstrong -

change in Britain regional policy in policy regional Britain in change The implication of the aforem the of implication The The country that provides that country The

tes Ti creates This others.

analysisregionalofthe policy Importantly The . Before Before . the theoretical the argument to create jobs, to diversify activities, to push competition, to to competition, push to activities, diversify to jobs, create to , the authors of the book stress some tools as sometoolsstress book the of authors the , leading ones leading t for rt th subsidies,R&D s,

in

at a entioned for Azerbaijan is a need to consider to need a is Azerbaijan for entioned

a

ao ftefre ol is tool former the of favor oooy f nweg, n lae n otos for options no leaves and knowledge, of monopoly change in investment and enterprises medium and small literature is helpful for understanding of the tools for for tools the of understanding for helpful is literature great experience in this field is the United Kingdom. United the is field this inexperience great cto, cuainl trainings occupational ucation, uh h dsone l discounted the ough

1978 , 25 the which have access to the markets of almost all almost of markets the to access have which

te prah a msl based mostly was approach the , .

- 1920s. Despite earlythe1920s. there ofstart, period

1979

advisoryand services,

(Robert J. Bennet, 1991, p. 37) p. 1991, Bennet, J. (Robert main tools main At the same timesame the At

technology as tx cuts tax oans, some

the of regional policymaking regional of

useful cases of cases useful

ultimate ability ultimate , which benefits ones ones benefits which ,

or or , t , the most the

the migration costs’ costs’ migration he technological technological he , relaxation of of relaxation , establishment establishment on emphasis emphasis preferred

n as one one asn regional regional , which ,

“social of the the of . CEU eTD Collection fromevident are practice efficiency the of monitoring andchanges to ch adapted Britain Great success, i the that such policy the from loser net largest third is UK the all in all funds; structural the in contributors net are show relaxedforce, labour single and EU regulations, themarket. access to regi the was policy UK the of achievement important given competition, of development replace were subsidies automated played inBritain. with up ended and industries, certain in mechanisms causing was which interventions, governmental in cited way: following welfare” .

Today, within the frameworks of the EU Regional Policy, out of 37 regions 37 of out Policy, Regional EU the of frameworks the within Today, (Pawel Swidlicki, 2012) Swidlicki, (Pawel o umrz te ae f h Uie Kndm te urn stain is situation current the Kingdom, United the of case the summarize To n The the ons (Armstrong and Taylor, 2000 Taylor, and (Armstrong ons oet . Bennet J. Robert for

oe f aiiao of facilitator of role

incountry ofeconomythethe ew region ew vr rgo. t a lrey rtczd and criticized largely was It region. every nvestments alone cannot form a regional policy. In order to switch from failure to to failure fromswitch to order In policy. regional a form cannot alone nvestments “…[regional policy] played with more enthusiasm than success” (HoC, 1973, as 1973, (HoC, success” than enthusiasm more with played policy] “…[regional al policy was mostly dominated by market forces, and the government government the and forces, market by dominated mostly was policy al .

19, p 1991, , . The influence of the case of Britain on the current analysis is is analysis current the on Britain of case the of influence The anges that were relevant for it for relevant were that anges production . wt slcie aia gat. T grants. capital selective with d

8. The 38). a

a ih rsue rm the from pressure high

). The factors that affected this were this affected that factors The ). new, more liberalistic approach in the regional policy policy regional the in approach liberalistic more new, .

It was low seenproductivity source primaryofasIt the

of investments of ahr than rather a 26 meu to impetus

high attraction of foreign direct investments to to investments direct foreign of attraction high

economic its

the changes was was changes the

are controller. By the same token, the the token, same the By controller.

a ioial commented ironically was inflexibility and blocking adjust adjust blocking and inflexibility . supported Thereby, flexibility of a country country a flexibilityof Thereby, newly

he not only not pnd market opened

new the

flexibility of the the of flexibility

inefficiency of of inefficiency

i was aim of Britain, 35 35 Britain, of by to interesting

theory but but theory

s in the the in . The The . t he he CEU eTD Collection EU results successful implementing efficient in seen be can Policy Cohesion sugges of terms in enough strong yet not such Incaseinvestments ofreturns. andCroatia, obviously, efficiency, agents economic all of development sectors. private and public the efficiency stated on theirofficial f Ministry The investments the are Croatia tools disadvantageous and advantageous

oein oiy at enough. fast policy cohesion estimations author believes that that believes author tion

In contrast to Croatia, the successful case of regional policy in the frameworks of the EU EU the of frameworks the in policy regional of case successful Croatia,the to contrast In policy regional Croatian the Nevertheless, region Croatian of overview The has been has

ones

or Regional Development Regional or

approaches for Croatiafor byauthor the , high awareness of awareness high , n oe motn oe hl be shall notes important some and , a .

highly einl oiy eoe the before policy regional Despite the fact that the institutional framewinstitutionalthe that fact the Despite came out came

into human resources and physical infrastructure physical and resources human into

web pageweb 2011) Dulabic, (Vedran requires influenced by influenced wih a b ahee b dvlpd ntttoa framework institutional developed by achieved be can which ,

usata institutional substantial of the fact that that fact the of . the case of of case the a

some quantitative analysis of the correlation between the the between correlation the of analysis quantitative some

h avnae f hs prah is approach this of advantage The government strategy government

, which is which , wasa hs requirements These

atesi and partnership the EU Cohesion policy Cohesion EU the

l oiy y ui e al (2011 all et Dubic by policy al clearerand simpler of there isclearlyno responsible there authority Ireland managed t managed Ireland Ireland. The case is believed to be one of one be to believed is case The Ireland.

directly in charge for the regional policy regional the for charge in directly . einl policy regional ntaiain f the of initialization 27 The

stated

is partnership improvement

rtczd o the for criticized fiiny approach efficiency

by a public a by

novd hne i te institutional the in changes involved ee isl,Ieadws not was Ireland Firstly, here.

. . The The . institutionalframework o adapt to the requirements of the the of requirements the to adapt o officiallyestablished, was ork h modern The implies the cooperation between between cooperation the implies

, is most usedmost and U oein Policy. Cohesion EU , which is a positive sign positive a is which , h etbihet f the of establishment the , lack of partnership and and partnership of lack

a coherent and stable stable and coherent a ultimately es ) . einl oiy in policy regional

show tools of the policy policy oftoolsthe The main policy policy main The

to implement to ,

joint efforts joint some .

;

the most most the which is is which actively . other The The The it is it .

CEU eTD Collection factor framework country. the of policy regional within processes action and the planning training during the up awareness speeded atmosphere and This program. participation public the provided which environment, political keep allows independency regional with policy their implement to authorized before structure hierarchical country the Ireland. of framework ing s

that canthat bring significant Secondly

coordination of allcoordination level.bodiesadministrativeof on country the , which ,

allowed Ireland Ireland allowed , the contributing factor contributingfactor theof successful , policyalready regional was existingsocio are

This a missing ingredient in the Croatian regional policy, regional Croatian the in ingredient missing a willingness to to willingness this policy this to to

for It follows from the above that the partnership the that above the from follows It successinpolicyma the implement more individual more ; and after the initiation of the program two regions were were regions two program the ofinitiation the after and ; fulfill

h changes the a 28 ih independency high the requirements of the policy the of requirements the

treatment king. king. . n at t fact, In

of

the local economies as well as as well as economies local the

he government had a highly highly a had government he (Nicholas (Nicholas

are es 2006) Rees,

indeed important indeed and flexibility and n institutional and .

The the the

of of -

CEU eTD Collection 2009 for Socio Programon State theis AzerbaijanRepublic inthe Azerbaijan2008 for of years,2013 Socio on Program Socio on Program are document descriptive most The regional the of Republic the of Development Azerbaijan. Economic of Ministry the by published and announced of and 2011) Dulabic, (Vedran prospects ongoing the close a requires the

published effectiveness, effectiveness, program The The - 2013 years,2013 for and, reason,this the .

h picpl set o te rgas r aaye bte when better analyzed are programs the of aspects principal The

four sta four the Upon the whole, there are four state programs that are that programs state four are there whole, the Upon analy inequality

policy programs arranged so far and and far so arranged programs policy and availableand

s State Program on poverty reduction and sustainable development in the Republic inRepublic the development sustainableand reduction Program poverty on State . study

sis The state programs that consider the regional development in Azerbaijan are are Azerbaijan in development regional the consider that programs state The - - transparency Economic Development of Regions of the Republic of Azerbaijan for 2009 for Azerbaijan of Republic the of Regions of Development Economic Economic Development of Baku and its settlements in 2011 in settlements its and Baku of Development Economic te programs that are claimed as as claimedare programs that te C

n etmto of estimation and HAPTER , but only one only but , of of - 20 , which allow which , its 15 yearsand 15 for for each state program. eachfor state

components - Economic Development of Regions of the Republic of Azerbaijan of Republic the of Regionsof EconomicDevelopment 2008

and s 3.

for the analysis the for

R - efficiency 2015 EGIONAL POLICYEGIONAL IN among them among s

the for separate for

the the and

years S tate tate fetvns o te einl policy regional the of effectiveness

analysis details

approach 29 . P It isclear It

rogram of the state programs state the of focuses directly on the regional the on directly focuses

involving consider . The aim of this chapter is to to is chapter this of aim The . to analyze them from different qualitative qualitative different from them analyze to

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2015 years. It is a very strong policy program with a very very a with verypolicyis strong program It a years. 2015

n h thesis, the in does not aim to reduce region reduce to aim not does mainly 37

- n h ifatutr ad re and infrastructure the on Economic Development of Baku city and its and city Baku of Development Economic some is obvious from its title its from obviousis

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infrastructural

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Supply of Population in the Azerbaijan Republic (2008 Republic Azerbaijan the in Population of Supply s the s distinguished a

list o list control of the the of control 38 macroeconomic f general gove general f

conditions . The reports of the program suggest that the the that suggest program the of reports The , and provision of proper infrastructure for infrastructure proper of provision and ,

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netet ad icutd on on loans discounted and investments

by the regional economics literature. literature. economics regional by the framework s the business allocation decision allocation business the s ul a build like investments in investments like of effectiveness 39

any

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model that estimates the effect of different different of effect the estimates that model most . diversification in the regions; and, in factin and, regions; the in diversification

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followingchapter. 40

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42 lacking

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with higher output per capita the share of employmentof share capitathe per output higherwith sometimes h less the can explain the regional disparity regional theexplaincan a certai

an developed variable, This output. regional the on effect n eivd o be to believed

increase in the regional average earnings. Nevertheless, Nevertheless, earnings. average regional the in increase (Uwe Blien, 2001) Blien, (Uwe o h cret study current the to 44

areas aayi. codn t te AzStat the to According analysis. e .

a The increase in increase The f hs assumptio this If

otiuig atr by factor contributing

real or through the differences in kinds kinds in differences the through

Cziraky since it reflects exactly the the exactly reflects it since wage per region, which is is which region, per wage

o rgoa otu per output regional on t production n finds support in the the in support finds n

et all et

productivity (Dario Cziraky, Cziraky, (Dario break some regional regional some

in agriculture

per

structure of of structure -

down of of down capita each , In .

is is

CEU eTD Collection (N=63 2011 to 2006 from year 6 of period time the for observations yearly with regions 63 for data panel the contains estimation the for used inAppendixseen 1. e The analysis. quantitative the by considered still are amount, small a inif even country, the from investments get that areas The analysis. the to due and, Armenia; estimate model.usedto the observations number of theincreases which eachforregion/city, is taken data the committee, the

11 10 conomic region conomic

9 8 7 6 5 4 3 2 1

Total Nakhchivan Dakhlikh Shirvan Kalbajar Qarabagh Yukhari Aran Guba Lankaran Shaki Ganja Absheron Baku Economic region For the core model with the regional productivity as productivity regional the with model core the For Author’sSource: work own Table As

- - - city Khachmaz Zagatal xlie bfr, oe ra d nt e ay netet de o cuain by occupation to due investments any get not do areas some before, explained Gazakh - Lachin

6

Economicbreakdownregions

can be seen in Table Table in seen be can

the region areas in the Number of absence of absence

18 11 73 4 7 5 6 6 3 1 8 4

areas included Number of

variation in explanatory variables, they are excluded from from excluded are they variables, explanatory in variation 6 , whereas more whereas ,

63 18 11

number of regions and/or cities contained in each in contained cities and/or regions of number 1 4 1 7 5 6 6 3 1 45

, T=6, NT=378). For the supplementary model model supplementary the For NT=378). T=6, ,

areas excluded Number of

a

10 detailed description of regions can be be can regions of description detailed 7 0 3 0 0 0 0 0 0 0 0

an

explained variable, the database database the variable, explained

CEU eTD Collection 3 measuredisdatabasemanats. thousandsare loansin discounted information. statisticalThe of breakdown the provided exclusively NFESthe res current the for Nevertheless, breakdown. further their without regions economic the by NFES the of reports annual f loans provided discounted of amounts yearly The manats. thousands in measured are capital fixed in investments All capital. construction medium yearThepercentage.base is 2004 Fun Monetary International the from taken is inflation for data yearly The inflation. the to adjusted inpricesmeasured current thein localmanats. currency, ( capita per output regional the Az the from taken are region, per investments small and region, isandextended time span to as wage real regional the with

The wagereal is equalto the nominal wage divided theto inflationchange from the base level. d database. Inflation is an average yearly consumer price index change, measured in in measured change, index price consumer yearly average an is Inflation database. d The large and medium and large The the from taken was wage nominal the wage, calculate real the to Inorder f capita per output on data yearly The netet i fxd aia made capital fixed in investments investments per region ( region per investments

available for available 7

or each region in previous year ( year previous in region each or yearsfrom200 construction an

3 out_pc explained variable, the number of regions remains unchanged unchanged remains regions of number the variable, explained .

inv ad h aeae el ae e rgo ( region per wage real average the and ) _s

the general public. In those reports the data is grouped grouped is data the reports those In public. general the ) show the show )

investments per region ( region per investments 5 until 2011 (N=63, T=7 until 5 (N=63, 2011 or each region, large and medium investments per per investments medium and large region, each or

46 y oh p both by

same about the small the about same

bi ad rvt sector private and ublic dloans_1 Stat inv_lm . The dependent variables, dependent The . ,NT= ) are not available in the the availablein not are ) ) show the show ) 441 investments in fixed in investments ). AzStat

ad small and , r wage large and and large

and then andthen ), are are ), earch earch CEU eTD Collection explanatory considering estimation estimated and observations estimation 4 is smallinvestments,43% Baku. to directed In investments. of types other for case the not iswhich regions, the across distributed loansare discounted the of mamillion 1 is regions makesmillionsmallinvestments 3.8 andmanats, up average ofloansfortheprovided discounted regional of average the manats, million 26.4 to reduces investments medium and large regional capita the without them calculate we if significantly change values same The year. per manats million 1.4 is loans discounted provided the of value average the and year, per manats million 6.8 constitutes investments small regional of amount yea per manats million 113.9 of level average an have construction, to directed investments, regional medium and large The findings. the of interpretation the in used be can it is butinitialThe data by calculated thefromvaluestaken are Azauthor, thethe percentage. into converted is ratio The region. each for employees of number total the to sector .2. The methodology and themethodologyThemodel and h data The summarize To t ( structure variable, last The

the fixed effects are applied to the model. Usage of the fixed effects model allows for model allows fixedeffects the of model.Usage the to applied are effects fixed the ehd s the is method

variable h region the the base case of large and medium investments, 76% falls on Baku, and in and Baku, fallson 76% investments,medium and large of case s over years over s ecie i te previous the in described he description of the data, it isishe itas itway lookingdescriptionthe worthdata, ofdistributed the at - nats. From the aforementioned it can be concluded that, on average, 80% 80% average, on that, concluded be can it aforementioned the From nats. pcfc fet ta ae esset in persistent are that effects specific OLS OLS a ier prxmto. n re t ipoe the improve to order In approximation. linear . regression Intuitively, the fixed effects model controls the historical builthistorical the modelcontrols fixedeffects the Intuitively, str

uc ), is the ratio of the employees working in agricultural agricultural in working employees the of ratio the is ), which ,

47

data panel a in organized is section

minimizes squared differences between real real between differences squared minimizes l city, Baku. In this case, the average of of average the case, this In Baku. city, l h vle o al eedn and dependent all of values the Stat

r. The average average The r. ult of quality .

the

set case of of case The .

the the -

CEU eTD Collection highest the Economically, variables. explanatory the of variation the by explained is capita per significance estimatedbysame thetechnique, 4 yearandrespectively. variable, dependent corresponding the on variable explanatory each of effect estimated the for stand s=1,2,…,6, for result, supplementaryAsmodelathe isfollows: as history but p.149) Brakman, 2011, factor other any by explained be cannot diversity regional of part some r in notion common very a is It areas. geographical the to inherent ins .3. The resultsThe ofestimation s niiae, n h cr mdl l cnrle vrals r sgiiat t 1% at significant are variables controlled all model core the in anticipated, As Th modelsabove Inpresented the its in one core the as pattern same the follows model supplementary the And out_pc modelTheisfollows:extended as mainmodelThe e output of th of output e level. The R level.The it

= β = out_pc rwage 0

+ β + the parameter u parameter the

it 1 . it

to be estimated to * siain speetd in presented is estimation e

= β = - = β = edu squared is 9 is squared 0 0

it

+ β + + β +

+ β + 1 1 which is f iswhich * 2 * * edu edu

it inv_lm stand for stand 2 the parameter β parameter the it it %, which implies that 9 that implieswhich %,

has the followinghasform:the + β + + β +

ixed 2 it 2 *

* +

β inv_lm inv_lm

the 48 3 effects OLSregressioneffects *

inv_s

errors, and the indexesand the errors,

it it

Appendix 2 of this thesis. All models are are models All thesis. this of 2 Appendix 0

+ + standsintercept, thefor it β β + β + 3 3 * *

inv_s inv_s 4 *

dloans 2

% of variation in regional output output inregional variation of % it it + β + + β + _1 4 4 * * .

it dloans

dloans that economics, egional + i

β and 5 * _1

_1 the coefficientsthe struc t

stand for region for stand it it

+ u + + u + it

main form main

it it +

u (Steven (Steven it

β s . CEU eTD Collection productivity,thefor and capita more steady their to developed not are regions the growth, the affect positively enough strongly them absorb to potential no have regions the or efficient not either are they welfare, regional today. force in is that isitmanats,10 attributable to production reg all among capita per output average and 28 by output regional the constitutes horizon time whole the over output regional average the calculate we man million is Baku, that investmentslargeof26.4 mediumregionalwithout and The values. average amount values average misleading. be might view first the low, thousandsone re theincreases entityeducation higher one of establishment out regional the on effect The result of the estimation has a very high anal high very a has estimation the of result The increase loans discounted and investments small of manats million one time same the At , respectively. Since the average amount of small investments in regions is 3.8 million 3.8 is ininvestmentsregions small of amount average the Sincerespectively. , 2 l influx l ats, is on average predicted to increase to predicted average on is ats, . 5

% the investments,eventhough for As average.manats on of investments of . From . of . From the the From . the As the large the As averageregional o they side ne put per capita is captured by captured is capita per put 6 might other side, other

8 . that can bring more close to reality explanation of the estimated estimated the of explanation reality to close more bring can that 2 2.6 the neo the

manats or

and medium and

manats, respectively. In respectively. manats, needsome - output classical growth theory classicalgrowth ions other than Baku, it means 2 means it Baku, than other ions the regions do not need not do regions the

In order to interpret the investments I am using the the using am I investments the interpret to order In 8 . 1 % of . additional 49

investments have investments

regional output per capita by 3 by capita per output regional production

education. Holding education.

ytical effect on the investments policy investments the on effect ytical trigger for their trigger

a gional output per capita by just over over just bycapita per output gional

percentage terms, compared to the to compared terms, percentage

per capitain per regions. suggests that if discounted loans ifdiscounted that suggests

the large construction investments construction large low

estimated estimated without Baku without est better - . state levels state 1

effectiveness on the the on effectiveness

other factors fixed, factors other and

development. coefficients are coefficientsare 6 2 . . 3 7

, this value this ,

percent percent manats.

and need and

of of If If

CEU eTD Collection 2. Appndix of 4 Table in shown are results The again. model the estimate and wage real year’s previous the include fromAppendix beTableof 2, 3 seen autocorrelation. Durbin the estimations both by output regional the increases area the stimula area. the for income higher and business observations of majority the that fact can byIt bemanats. the per explainedincreases capita by 32 percentage point regionalthe output precise, more be To capita. per output a model, the to economicallysignific capita per output regional the increase this and investments discount small of manats million one coefficients, the for As level. significance 5% is structure whereas 1%, at significant statistically remain loans discounted the increas model to not structure the does is similar to to similar tions through the discountedtheloans, mostlythrough whichtionsto agricultural thego sector. In the supplementary model, the results are very different from the core model. As it can can it As model. core the from different very are results the model, supplementary the In in entity one of establishment and one, previous the to similar is education of result The the of Inclusion thesis. the to 1 Apendix of 2 Table in presented is model extended The

ed loansincreaseregiona the ed types. It means that higher share of employment in agriculture is, generally, more job more generally, is, agriculture in employment of share higher that means It types.

has agriculture in employment of share higher h etmto of estimation the ant While the Durbin Watson is 2.0 in the corrected model, t model, corrected the in 2.0 is Watson Durbin the While , but is but st , - Watson statistics is around 2, which implies the absence of the the of absence the implies which 2, around is statistics Watson atisticallyonlysignificant at This result is consistent with the direction of the regional regional the of direction the with consistent is result This h cr mdl Lre netet of investments Large model. core the l output per capita by 28 and 82 and 28 capitaby per loutput the mode the

e the R the e in the sample are regions, wh regions, are sample the in in the same way by 32 manats 32 by way same the in just above one thousand one above just n nrae of increase an - squared. Large and medium investments as well as mediumLargeand investments as assquared. well l suffers from the autocorrelation. For this reason I lfrom suffersautocorrelation.reasonFor thisI the 50

employment in agriculture by one one by agriculture in employment

10% significancelevel 10% a positive effect on the regional the on effect positive

manats. Last but no but Last manats. ich have no large variety in variety large no have ich .5 . Th .

manats, respectivelymanats, e effect of structure is structure of effect e 26 .4

million manats manats million in he findings are are findings he significant at significant

. According . t least, in least, t ;

and and s

CEU eTD Collection level; thus, provided the and, o the of breakdown The people. and government inhabitants. regional re not is and output, regional the on captured is it of effect the significant, and large is it Since output. regional the in investments constructional the model. supplementary inthe that than higher times other. each to contradicting inisregionalforce that policy main The research. af can government the how study, with change real the that suggest model supplementary the Surprisingly investments small that would tool policy regional any no is there Nevertheless, education. and loans discounted from and wage, real the on effect different very significantly hl i mgt ok o t so, look might it While , education does not affect the regional real wage either. either. wage real regional the affect not does education , the from

execution of the of execution os o cm out come not does

the expectations the affect the real wage according to the estimation. the to according wage real the affect r saitcly infcn, u eooial ter fet s o low. too is effect their economically but significant, statistically are By the same token, the token, same theBy usin f h cret eerh s th is research current the of question after the results of results the after In the In explanation

today utput per region is not available for the country on country the for available not is region per utput fect the regional real wage, this question question this wage, real regional the fect government program. government core e eut o te oe n splmnay oes r not are models supplementary and core the of results he . .

The expectation was such that the regional policy has some some has regionalpolicy the that suchwas expectation The of the personal consumption or investments of the local local the of investments or consumption personal the of

model estimation, the effectiveness of the the of effectiveness the estimation, model

is suggested byis modelssuggested estimatedthe only. production

51 the core model, the highest effects were expected expected were effects highest model,the core the wage that is the real the is that wage

The reasons The

in the regions is highly subsidized by the bythe subsidized highlyis regions inthe flected that much on the real wage of of wage real the on much that flected vntog i ol be would it though Even e nlss and analysis

can be connected to connected be can The results of estimation of of estimation of resultsThe income of peop of income

The discounted loans and and loans discounted The is beyond the current current the beyond is effectiveness of the the of effectiveness parameter

important

the le does not does le

a

regional share of of share s

to is

CEU eTD Collection that way It of effect S most the be to believed are enterprises consistent T output. regional on estimationwith ofdata panel pri the variablesof explanatory are programs the of tools The factors. contributing the through output regional the explains that model econometric and, were program the out pointed of tools main the effectiveness, the of estimation the perform to order In transparency 2013 Socio on Program one country. the in inequality regional the of reduction at aim analyzetoday. Theofpurpose research thiswasand theto ongoingestimate policy program P mall investments haveinvestments mall OLICYIMPLICATIONS A was s thereafter . tate tate

explained h aayi o te rga covers program the of analysis The According to the results, the to According R

egional inequality is one of the most outstanding problems in problems outstanding most the of one is inequality egional large p the regions lack the potential to absorb to potential the lack regions the ih h ter o plcmkn, hr te netet i te ml ad medium and small the in investments the where policymaking, of theory the with re the considers that rogram

to be investments in construction and support of the small and medium ente medium and small the of support and construction in investments be to

and , their effect on theireffect , and medium and using the using efficiency - Economic Development of Regions of the Republic of Azerbaijan for 2009 for Azerbaijan of Republic the of Regions of Development Economic he most he much neo

investments is incomparably lower incomparablyis investments approach, and institutional system and monitoring of the programs. programs. the of monitoring and system institutional and approach,

NDCONCLUSIONS fixed effects.

- the stronger effect tha effect stronger effective tool effective classical growth theory i classicaltheory growth both regional growth was estimated. The method of estimation is an an is estimation of method The was estimated. growth regional

of the tools used by the government have government the by used tools the of gional development in the country today country the in development gional effective

is

52 estimated to be to estimated administration,

n ones

large this type of type this mary interest. The technique used is the OLS OLS theis techniqueused The interest. mary

( ntegrated in ntegrated regional Armstrong and Taylor, Taylor, and Armstrong and medium and According to the finding,t the to According

than capital. discounted loans. discounted opnns and components that of the discounted loans. discounted the of that investments. the the The other explanation is is explanation other The Azerbaijani economy economy Azerbaijani economics 2000, page 233) page 2000, , a

which is called called is which

The finding is finding The positive effect effect positive Moreover, t Moreover, effectiveness, effectiveness, here is here

in such a a insuch rprises, s only only

that that he - .

CEU eTD Collection are regional their but growth, regional the influence partially that programs government other some are there reg on FDI the of information the Besides, fallsoil the part on vast the since Azerbaijan, in tool policy regional a as used not are specifically investments FDI the estimated not FDIs,are likevariables,regional level, regionalsome to turn out different. long the and concept, new very a is Azerbaijan in policy that the r affect strongly not does program government with correlated business the of output and consider not Azerbaijan do of lack the to due inefficient where Britain, Great of case the large the of inefficiency ex havepositivecorrelationa with the ldd rm h analysis the from cluded , which was expected expected was which , struct ept te import the Despite the from Apart largeshareofthe measures activity among the regions today; regions the among activity h ifatutr ivsmns ht r nt rnig n sgiiat result significant any bringing not are that investments infrastructure The be more productive in the future. morefuture. beproductive inthe r of ure

a higher output per capita. per output higher a

are not not are economies - einl policy regional

gas sector of the economy, and there is no large variation there (AzStat). (AzStat). large variationthere no is and there economy, ofthe sector gas and medium construction construction medium and regionalproduction provided ne f h rsac, t a sm limitations. some has it research, the of ance competition by the theoretical framework theoretical the by

concentration on concentration

on the regional growth growth regional the on .

hs iiain s h waet since weakest the is limitation This

in the official documentation inofficial the the

regional development. tools, e tools, or technology or early

The

and the larger share of agriculture sector in region region in sector agriculture of share larger the and ional level is not available for the country. the for available not is level ional The other limitationTheis other that

is investment

egional real wage, which which wage, real egional 53 other important finding of the research is that that is research the findingof important other uain has ducation competition attributable to attributableto

investments. This investments. either ugs ta arclue is agriculture that suggest s of the government government the of s

and empirical estimations empirical and

. - and technology and term results might be significantly significantly be might results term a The small investments are effective investmentseffective are small The

the constructionthe works. distinctive effect on the regional regional the on effect distinctive .

For this thesereason,For programs

by the models bythe

argument those due to the lack on the to ofduedata may . Firstly, the regional regional the Firstly,

program The investmen The come

is supported with supported is n regions in .

Nevertheless, Nevertheless, from a . s

The The

successful successful

today are more more are

Finally, Finally, the fact the effect effect wer ts in ts c the an an is is e

CEU eTD Collection in parts crucial international accountable proposed time. over themselves justify and inthe fruitful results returns high bringing not is which construction, on sums t Azerbaijan, In well. as Azerbaijan for helpful be might same the Britain. Great not are investments those that be recommendationsstated are come loans. discounted and investments, invest to development. economy country the on concentrated , perhaps, too large. too perhaps, , s

Secondly, t Firstly, t Generally, Policy rm h itrainl xeine n tertcl framework theoretical and experience international the from , and cannot be considered andprogram cannot separate as, a regionalfor equalizatio

below in the regional growth. growth. regional the in

for the issue of of issue the for practice

It means that the country needs to continue the to needs country meansthe that It In order to fightagainstcountry the In this, order to implications the he that that

the

large e einl oiy f Azerbaijan of policy regional he realization of the policy program. If one combines the cases of Croatia and and Croatia of cases the combines one If program. policy the of realization havehigha potential to , long

institutional framework framework institutional like the case of Ireland, of case the like At the same time, there is no is there time, same the At n medium and

future, the portion falling on the large investments large the on falling portionthe future,

the - wide low. sufficiently h mny ih hv been have might money The regional inequality regional

growth Nevertheless, there is a certain room for improve for room certain a is there Nevertheless, The most suggested tools by the estimation are small small are estimation the by tools suggested most The investments need to be reconsidered. be to need investments

wih s a is which , strong, as similar results were seen in the practice the in seen were results similar as strong,

improve can be improved be can suggests that the institutional system is one of the the of one is system institutional the that suggests 54

or regional growth regional or the clear changed the approach of investments,and ofapproachchangedthe has a significant effect on the regional regional the on effect significant a has oml ae f development of pace normal regional evidence that these investments will will investments these that evidence yet implementation of the implementationthe of

. .

pn on spent There is no single entity that that entity single no is There vn f t s xetd o bring to expected is it if Even productivity. he government spends large large spends government he . Nevertheless,

some today It is not surprising not is It ad h main the and ,

te measure other n . is

program and and program

the highest the

successful successful ment that that ment o every for of is s

CEU eTD Collection firstlong term regions.the to in regions in entities educational higher of more of establishment An regionaldevelopment regionalinequalitytime. over of application with policy regional ongoing the of of implementation put imply would It region. each for approach individual is since2004 infrastructure in of case in programs the way and performanceapproach the regionalthe policy. performance flexibility.high econ in regi implementationthe of plan. action Ireland,

formation of regional human capital human regional of formation not

(Teresa Curristine, 2007) Curristine, (Teresa omic environment, and have more individual approach to each region, which would be a a be would which region, each to approach individual more have and environment, omic strong Last but not least not but Last recommendation, third the involve also could improvement institutional The he/ she can conclude conclude can she

approach

The separate administrative body could focus more on the planning and and planning the on more focus could body administrative separate The enough. innovation Focus on technological improvement is also a part of this recommendation this of part a is also improvementtechnological on Focus

the It is well It a .

. It . measures, Adaptationthis of h A the , a higher focus on the on focus higher a ,

park canbefarfrom park somewhere establishedthe is a very important important very a is onal policy. policy. onal ir

in ge cnetain n the on concentration igher

that inefficiency. - the regions the . with known fact that fact that known It helps to evaluate the efficiency of of efficiency the evaluate to helps It

and the some decentralization so that the goals are stated in a clearer clearer ina stated goalsare the that so decentralization some , thereby, , institutional framework institutional At the same time, it could be timely adjusting for changes changes for adjusting be timely could it time, same the At

as well as as well as ; micro

A large amount of monetary sums sums monetary of amount large A and factor

, according to to according , a higher regional independency. regional higher a 55 public efficiency is believed to get improvedget publicbelieved with isto efficiency - economic tool economictool human capital formation capital human

in

of all aspects of the the of aspects all of these attract fiiny would efficiency

ting changes ion of ion the findings, the

is as much important as the proper proper the as important much as is

agt i rsls ahr hn just than rather results in targets is worth isworth

human capital from the capital capital the from capital human

has a potential to reduce the the reduce to potential a has has a has all spending all applying policymaking including policymaking

good

up to the today to up

capital, and that would capital, that and can be crucial for the the for crucial be can also also have been have

potential to result to potential The continuation continuation The

allow for more more for allow for the country. the for , and redesign redesign and ,

invested invested ireffect .

In the the In

the the

CEU eTD Collection and,thus, and education recommendation on education The education, and trainings time. same the at country abroad, from specialist of attraction capital competitiveness and development the for research the in earlier presented c ertainly differences

eevs o such for reserves

bring requires a separate individualrequires separate a research. the

h growth the

of educational environment educational of omto o te ua cptl in capital human the of formation ol be would technological competitiveness of the regions the of competitiveness technological they are too low, and do not form not do and low, too are they Even though Even netet like investments

o rae long a create to s atrs y h model the by captures is

suggest that the technological advantage is drastically important important drasticallyis advantage technologicalthe that suggest

which has high chances to develop regions and the whole whole the and regions develop to chances high has which

the government has some insignificant investments in the inthe investments insignificant some hasgovernment the

f n economy an of are buyouts, patents - term 56

shown in Chapter one, whereas one, Chapter in shown

policy

the

regions. plan n hpe four chapter in . large

The country possesses possesses country The investments in R&D, and initial initial and R&D, in investments . This ec This iig at aiming

human capital in the regions. the in capital human Both theories and empirics empirics and theories Both onomic problem is broad broad is problem onomic

improve Te very The .

a

high effect of of effect high et of ment sufficient strong strong

the the

CEU eTD Collection quantitativeanalysis 11 10 5 4 3 2 1 6 5 4 3 2 1 9 8 7 6 5 4 3 2 1 3 2 1 1 1 6

Shabran Lankaran Yardimly Masally Lerik Jalilabad Astara Shaki Zagatala Oguz Gabala Gakh Balakan Naftalan Tovuz Samukh Gazakh Gadabay Aghstafa Ganja Khyzi Absheron Sumgayit Bakucity Breakdown of the economic regions and information about their inclusion in the the in inclusion their about information and regions economic the of Breakdown

Guba Ganja Shaki Lankaraneconomic region Absheroneconomic region - Khachmazeconomic region - - Zagataleconomic region Gazakheconomic region Bakucity A PPENDIX included included included included included included included included included included included included included included included included included included included included included included included included included included included included

57

1

CEU eTD Collection

18 17 16 15 14 13 12 11 10

2 1 4 3 2 1 7 6 5 4 3 2 1 9 8 7 6 5 4 3 2 1 5 4 3 2 4 3

Shamakhy Ismayilly Aghsu Gubadly Lachin Kalbajar Jabrail Khojavand Aghdam Mingechevir Shirvan Ujar Salyan Saatly Neftchala Hajigabul Bilasuvar Barda Agdash Agdjabadi Gusar Guba Khachmaz

YukhariKarabakh economic region Kalbajar DakhlikShirvan economic region Aran - Lachin economicLachinregion

economicregion included included included included included included included included included included included included included included included included included included included excluded excluded included excluded included included included included included included included included included included included included included included 58

CEU eTD Collection

8 7 6 5 4 3 2 1

Kengerli Shahbuz Sadarak Julfa Nakhchivan

Nakhchivaneconomic region

excluded excluded excluded excluded excluded excluded excluded included 59

CEU eTD Collection Table1 Prob(F F Log likelihood Sum squaredresid S.E.of regression AdjustedR R Cross Totalpanel (unbalanced)observations: 377 Cross Periods included:6 Sample:2006 2011 Date:05/30/13 Time: 20:53 Method:Panel Least Squares DependentVariable: OUT_PC - - statistic squared - - section fixed(dummy variables) sectionsincluded: 63 DLOANS_1 - statistic) Variable INV_LM

INV_S

Estimated Core ModelCoreEstimated FixedbyOrdinarySquaresLeast EDU

- C squared

Coefficient

- 1.45E+08 EffectsSpecification 0.000000 57.64769 2958.697 683.2774 0.908621 0.924661 183.2383 0.082633 1009.024 0.027949 0.001240

Durbin Hannan Schwarzcriterion Akaikeinfo criterion S.D.dependent var Meandependent var

Std.Error 259.3619 0.015747 285.4134 0.002471 0.000308

- Watson - A

Quinncriter. PPENDIX

60 stat

3.535307 11.30919 4.025988 0.706497 5.247484 t -

Statistic

2

1.764280 16.32883 16.75028 16.05144 2260.345 1601.771 0.0005 0.0000 0.0001 0.4804 0.0000 Prob.

CEU eTD Collection Table2 Prob(F F Log likelihood Sum squaredresid S.E.of regression AdjustedR R Cross Totalpanel (unbalanced)observations: 371 Cross Periods included:6 Sample:2006 2011 Date:05/30/13 Time: 21:05 Method:Panel Least Squares DependentVariable: OUT_PC - - statistic squared - - sectionsincluded: 62 section fixed(dummy DLOANS_1 - statistic) Variable INV_LM STRUC

INV_S

Estimated EDU

- C squared

Extended

Coefficient

variables) - - 1.43E+08 EffectsSpecification 0.000000 57.14747 2912.051 685.2906 0.909219 0.925412 28.44165 32.25905 0.082493 1023.830 0.028080 0.001217

Core Model Core byOrdinarySquaresFixed Least

ependentvar Durbin Hannan Schwarzcriterion Akaikeinfo criterion S.D.dependent var Meand

Std.Error 286.2977 17.22537 0.015807 286.3577 0.002480 0.000309

- Watsonstat

-

Quinncriter.

61

-

0.099343 1.872764 5.218735 3.575353 11.32415 3.935676 t -

Statistic

1.785279 16.34047 16.76681 16.05957 2274.452 1618.556 0.9209 0.0621 0.0000 0.0004 0.0000 0.0001 Prob.

CEU eTD Collection Table3 Prob(F F Log likelihood Sum squaredresid S.E.of regression AdjustedR R Cross Totalpanel (unbalanced)observations: 436 Cross Periods included:7 Sample:2005 2011 Date:05/30/13 Time: 21:48 Method:Panel Least Squares DependentVariable: RWAGE - - statistic squared - - sectionsincluded: 63 section fixed(dummy variables) DLOANS_1 - statistic) INV_SM Variable INV_LM

Estimated EDU

- C squared

Supplementary

Coefficient

- EffectsSpecification 0.000000 5.303498 2020.259 270224.0 27.06131 0.395019 0.486809 90.78799 0.003282 3.326390 0.000278

3.11E

- 05

Model byOrdinarySquaresFixed ModelLeast Durbin Hannan Schwarzcriterion Akaikeinfo criterion S.D.dependent var Meandependent var

Std.Error 6.262756 0.000589 7.260251 1.12E 9.14E

- Watsonstat -

Quinncriter. - - 05 05

62

14.49649 5.568642 0.458165 2.768078 3.035903 t -

Statistic

0.458157 9.821871 10.20119 9.574581 34.79188 103.4430 0.0000 0.0000 0.6471 0.0059 0.0026 Prob.

CEU eTD Collection laggedreal wage 4 Table Prob(F F Log likelihood Sum squaredresid S.E.of regression AdjustedR R Cross Totalpanel (unbalanced)observations: 436 Cross Periods included:7 Sample:2005 2011 Date:05/31/13 Time: 12:35 Method:Panel Least Squares DependentVariable: RWAGE - - statistic squared - - section fixed(dummy variables) sectionsincluded: 63 DLOANS_1 - RWAGE_1 statistic) INV_SM Variable INV_LM

Estimated Estimated EDU

- C squared

Supplementary

Coefficient

- - EffectsSpecification 0.000000 110.0443 1501.617 25032.12 8.247549 0.943805 0.952461 21.02106 0.000422 0.764245 0.897001

8.21E 3.01E

- - 07 05

Durbin Hannan Schwarzcriterion Akaikeinfo criterion S.D.dependent var Meandependent var Model by Fixed Ordinary Least Squares Least Ordinary Fixed by Model

Std.Error 2.234623 0.000186 2.213775 0.014940 3.46E 2.82E

- Watsonstat -

Quinncriter. - - 06 05

63

-

2.271767 0.345222 0.236947 1.070423 60.03827 9.406979 t -

Statistic

2.005484 7.451058 7.836039 7.200076 34.79188 103.4430 0.0237 0.7301 0.8128 0.2851 0.0000 0.0000 Prob.

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