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Article Example of a German Free-Float Car-Sharing Company Expansion in East-Central Europe
Árpád Tóth and Cecília Szigeti * Kautz Gyula Faculty of Economics and Business Administration, Széchenyi István University, Egyetem Square 1, 9026 Gy˝or, Hungary; [email protected] * Correspondence: [email protected] or [email protected]
Received: 15 October 2019; Accepted: 4 November 2019; Published: 8 November 2019
Abstract: This study examines the expansion of a German free-float car-sharing company in Hungary from financial and sustainability perspectives. BMW and Daimler recently created the joint ventures ShareNow, ChargeNow, ReachNow, FreeNow, and ParkNow, which are having a significant global impact, as their services are now available in 14 different countries. We also expect further market development, since ShareNow started to operate in Hungary in May 2019. The whole EU market is just one step away from being covered by the same professional service, and the future might bring a real globally available free-float car-sharing service provider. Our review used a combination of two methodologies: financial statement-based business analysis and sustainability analysis. On the basis of this study, we concluded that these companies are primarily operated for profit and not on a sustainable operation basis. Additionally, it was also found that the current statistical data collection method does not measure precisely these activities. Financial reporting and sustainability reporting are connected, but they cover different areas. As a subject of further research, we suggest examining whether it is possible to establish a clear connection between these methodologies in the foreseeable future.
Keywords: Car2Go; DriveNow; GreenGo; MOL LIMO; sustainability; economies of scale; sharing economy
1. Theoretical Background The objective of this study was to examine the performances of free-float car-sharing entities in Hungary and compare them to those of their German counterparts from financial analysis and sustainability perspectives. On the basis of actual financial results in Hungary, they appear to be less profitable businesses compared to other rental service companies. Recently, Car2Go and DriveNow created joint ventures, which generated significant competition because they entered the Hungarian market in May 2019. In Hungary, free-float car-sharing companies might follow different business models, which can cause unusual results. We also reviewed the available sustainability reports to define a possible connection to financial statements. Additionally, we tried to evaluate these companies from the sustainability perspective.
1.1. Business Model Review The free-float car-sharing business model was categorized, defined, and described in a car-sharing business model review by Deloitte [1]. Since then, other studies reviewed the model and the markets itself, for example that of Munoz and Cohen [2]. Several studies raised sustainability-related questions regarding sharing economy models. Reitmann and Lieven [3] examined how policy measures succeeded in promoting electric mobility in 20 countries by measuring the influence of monetary incentives, regulations, and charging
Resources 2019, 8, 172; doi:10.3390/resources8040172 www.mdpi.com/journal/resources Resources 2019, 8, 172 2 of 16 infrastructure. Hartl et al. [4] addressed the gap between business-to-consumer (B2C) and peer-to-peer (P2P) car-sharing services from the customer’s perspective. Overall, these previous studies on free-float car-sharing businesses support the initial assumption that these entities are profit-oriented, and their operations can be questioned from a sustainability perspective. From the business model perspective, in Hungary, there is a unique situation for free-float car-sharing companies, considering the impact of the international lease regulation changes. A wide range of studies, such as those of Wheeler and Webb [5] and Barone et al. [6], have provided summaries on the expected impact of lease capitalization and its effect on profitability and leverage ratios. Giner and Pardo [7] reviewed the value relevance of operating lease liabilities.
1.2. Sustainability Reviews Sustainable business model (SBM) types were introduced to describe groupings of mechanisms and solutions that may contribute to building a business model for sustainability. Examples are: Maximize material and energy efficiency; Create value from ‘waste’; Substitute with renewables and natural processes; Deliver functionality rather than ownership; Adopt a stewardship role; Encourage sufficiency; Re-purpose the business for society/environment; and Develop scale-up solutions [8]. Geissinger et al. [9] described and classified the sustainability connotation of sharing-economy platforms for Sweden. Indeed, sharing economy can be considered as a path towards sustainability [10]. Bernardi and Diamantini [11] explored how sharing economy, adopted by an increasing number of cities, may be integrated into the urban agenda, fostering its positive aspects (like decreased carbon emissions [12]), while avoiding its negative externalities, and focused, as examples, on Milan and Seoul. Ma et al. [13] proposed an alternative governance model to improve the effectiveness of a collaborative governance regime towards urban sustainability. Albinsson et al. [14] developed a two-dimensional sharing economy matrix for sustainability reviews, which focuses on collaborative consumption users vs. non-users in the US and Indian markets. Ma et al. [15] argued that the two-level transformations, triggered by the disruptive innovation of the sharing economy and led by urban change towards sustainability, mutually influence each other in the fast-changing urban context in Shanghai.
1.3. Sharing Economy Reviews The emergence and rapid spread of the ‘sharing’ or ‘collaborative’ economy is one of the most significant social-economic challenges of our time. The success of the concept can be traced back to the economic crisis. It focuses on usage and not on owning goods. The debate over the regulation of the sharing economy has become polarized between those who are radically opposed to any intervention and those who favor some form of regulation (Table1).
Table 1. Opinions on the regulation of the sharing economy.
Point of View Authors Main Messages Excessive regulation eliminates consumer benefits All interventions are rejected [16–20] and efficiency gains. Using platforms reduces market failures. Innovative and intelligent regulation that enforces consumer protection without disrupting innovation. Certain areas of the sharing economy are suitable for regulatory intervention, others for self-regulation. Co-regulation: responsibilities are shared between Some regulation required [21–28] government and industry. A new legal framework is needed to regulate the sharing economy, as according to the current legal framework many inadequate practices in the sharing economy do not require any regulation as they pertain to the private sphere. Resources 2019, 8, 172 3 of 16
Table 1. Cont.
Point of View Authors Main Messages Resources 2019, 8, x FOR PEER REVIEW 3 of 17 Taxation of sharing economy companies is possible by law, although questions about law application Taxation of sharing economymay arise. companie Everyone involveds is possible should by be submittedlaw, although Strict regulation required [29] Strict regulation questions about law applicationto regulations may (for ar example,ise. Everyone in the case involved of car-sharing should be [29] required submitted to regulationsservices, (for example, licenses issued in the to case drivers, of andcar-sharing identification services, of drivers). licenses issued to drivers, and identification of drivers).
SharingSharing economyeconomy platformsplatforms can can be be represented represented in in a two-dimensiona two-dimension matrix. matrix. The The first first dimension dimension of theof the matrix matrix classifies classifies sharing sharing platforms platforms into for-profitinto for-profit (FP) and (FP) not-for-profit and not-for-profit (NFP) activities.(NFP) activities. The second The dimensionsecond dimension follows follows the B2C–P2P the B2C– axisP2P [30 ].axis Car-sharing [30]. Car-sharing business business models aremodels for-profit, are for-profit, B2C sharing B2C economysharing economy platforms platforms and therefore and therefore belong to belong group to 4. group (Figure 4.1 ).(Figure 1).
FigureFigure 1.1.Two-dimensional Two-dimensional sharing-economy sharing-economy matrix matrix [31]. P2P:[31]. peer-to-peer, P2P: peer-to-peer, B2C: business-to-consumer, B2C: business-to- NFP:consumer, not-for-profit, NFP: not-for-profit, FP: for-profit. FP: for-profit.
2.2. Materials and Methods FromFrom thethe availableavailable financialfinancial andand legallegal information,information, thethe followingfollowing elementselements werewere reviewed:reviewed:
• TheThe listlist ofof entitiesentities inin HungaryHungary basedbased onon thethe principalprincipal operationaloperational activityactivity code (TE(TEÁOR)ÁOR) • classificationclassification inin thethe companies’companies’ courtcourt registerregister • ProfitabilityProfitability reviewreview basedbased onon publishedpublished financialfinancial statementsstatements •• CertainCertain aspectsaspects ofof thethe leaselease accountingaccounting regulationregulation andand comparisoncomparison betweenbetween thethe InternationalInternational • FinancialFinancial ReportingReporting StandardsStandards (IFRS)(IFRS) 1616 LeasesLeases andand thethe HungarianHungarian AccountingAccounting LawLaw • Car-sharing companies’ fleet size, car-sharing costs, opinions of registered users in Hungary and Car-sharing companies’ fleet size, car-sharing costs, opinions of registered users in Hungary • Germany. and Germany. Sustainability was reviewed on the basis of Penz et al. [32], exploring and explaining how, why, Sustainability was reviewed on the basis of Penz et al. [32], exploring and explaining how, and when a sustainable operation is adopted and participation in the sharing economy becomes key, why, and when a sustainable operation is adopted and participation in the sharing economy becomes as well as how sharing economy models and sustainability (sustainable sharing economy, SSE) key, as well as how sharing economy models and sustainability (sustainable sharing economy, SSE) correspond conceptually in the collected articles. Seven sustainability aspects were addressed, of correspond conceptually in the collected articles. Seven sustainability aspects were addressed, of which which four refer to car-sharing (Table 2). four refer to car-sharing (Table2). Table 2. Sustainability aspects of car sharing.
Producing Less “As cars stand idle 95% of the time, any sharing scheme that makes Idle Capacity and Under- cars accessible to non-owners would reduce the number of cars Utilized Physical Assets required for a given mileage level.” [33] Reduce Waste Resource Efficiency “Car sharing contributes to a more efficient and rational mobility (with through Using rather a lower number of vehicles per capita among members, lower demand than Owning
Resources 2019, 8, 172 4 of 16
Table 2. Sustainability aspects of car sharing.
Producing Less Idle Capacity and “As cars stand idle 95% of the time, any sharing scheme that makes cars accessible to Under-Utilized Physical Assets non-owners would reduce the number of cars required for a given mileage level.” [33] Reduce Waste “Car sharing contributes to a more efficient and rational mobility (with a lower Resource Efficiency through number of vehicles per capita among members, lower demand for parking space, Using rather than Owning lower fixed costs, and a complement to public transport.” [34] Extended Use Pattern “Carbon dioxide emissions and copper usage decrease with the diffusion of car- and Low Ecological Footprint/Low ride-sharing services.” [35]“With a lower consumption of physical and economic Carbon resources, car-sharing can also contribute to the reduction of energy and environmental impacts” Baptista et al. [34] Own Less, Interact More, Different studies document the high impact of car-sharing on car ownership. [36] Build Social Capital
3. Results and Discussion
3.1. Free-Float Car-Sharing Business Models in Hungary and Germany Specific free-float service providers are defined as companies offering the service of car-sharing, i.e., the use of vehicles that can be rented and parked freely throughout the entire business area without having to determine the start and the end of the rental period in advance. The beginning and end of the rent are established for all vehicles through a specific smartphone application. Payment is based on usage and according to a fixed minute rate. Comparing this market to the sharing economy review models, according to Codagnone and Martens [30] (Figure1), free-float car-sharing entities are B2C entities focused on profitable operation, and this requires strict regulation (Table1). This business model represents a di fferent resource utilization with respect to P2P-based common sharing, which motivated us to perform a parallel profitability and sustainability review. To accurately identify all key free-float companies, the complete database of the firm registry was reviewed, considering the defined principal operational activity of each company. This classification (TEÁOR’08) is “identical and fully harmonized with the European one, NACE Rev.2. Statistical Classification of Economic Activities in the European Community, 2008 (Nomenclature des activités économiques dans les Communautés européennes) [37]. Based on Regulation 1893/2006/EC, with effect from 1 January 2008, TEÁOR’08 is used to determine the principal activities of enterprises, in the calculation of economic and social indicators as well as for the publication of statistical data.” The car-sharing activities are classified under Section “N” as administrative and support service activities, in division 77, group 77.1, and class 77.11 “renting and leasing of cars and light motor vehicles”. From the registered Hungarian companies’ database, 362 companies were identified. This analysis covers all Hungarian operational entities. In order to include recently established objects, all companies above 10 staff headcounts were investigated, according to the EU commission-defined categories. On the basis of a detailed review, 28 companies were identified, as presented in AppendixA (Figure A1). According to the Hungarian Accounting Regulation Act C of 2000, in Hungary [38], companies need to file a financial statement by the end of the fifth month after the fiscal year. Consequently, the latest reports available were for 2017. From AppendixA, on the basis of their financial statements, as of April 2019, only 2 companies out of the total 28 entities, i.e., #11 GreenGo Car Europe Korlátolt Felel˝osség˝uTársaság (hereinafter: GreenGo) and #20 MOL Limitless Mobility Korlátolt Felel˝osség˝uTársaság (hereinafter: MOL LIMO), were real flee-float car-sharing companies, and both operate in Budapest. This list contained all free-float service providers but did not represent the total lease market, because financial lease activities are classified in a different statistical segment, in section K Financial and insurance activities, Resources 2019, 8, 172 5 of 16 divisions 64–66. It did, however, represent all non-micro-level free-float car-sharing companies. This is the consequence of the unclear current statistical data, which do not identify specific lease, rental, or free-float services. In the case of a larger population, it would be challenging to sort out such companiesResources 2019 manually;, 8, x FOR PEER sub-sections REVIEW could be created to evaluate lease and rental services accurately5 of 17 in the statistical classification. In 2017 for Hungary, free-float car-sharing represented a 110.7 million the statistical classification. In 2017 for Hungary, free-float car-sharing represented a 110.7 million Hungarian forint (HUF) (€358,300) market. Hungarian forint (HUF) (€358,300) market. In the analyzed group from the profitability perspective, it was visible that the free-float car-sharing In the analyzed group from the profitability perspective, it was visible that the free-float car- service providers delivered significantly worse results in Hungary compared to lease and rental service sharing service providers delivered significantly worse results in Hungary compared to lease and companies in 2017, as shown in Figure2. rental service companies in 2017, as shown in Figure 2.
Lease
Free-float car share
Car rental
Car fleet provider
-220.00% -180.00% -140.00% -100.00% -60.00% -20.00% 20.00%
Free-float car Car fleet provider Car rental Lease share Average Profit before tax / revenue 3.32% 4.10% -205.65% 6.98%
FigureFigure 2. 2.Changes Changes in in asset asset structure, structure, GreenGo GreenGo (2014–2017 (2014–2017 in in EUR) EUR) [39 [39].].
ToTo gain gain a bettera better understanding understanding of of the the situation, situation, each each Hungarian Hungarian free-float free-float service service was was separately separately examinedexamined and and later later compared compared to to German German service service providers. providers. 3.1.1. Financial Statement Analysis and Review of the Financing Model 3.1.1. Financial Statement Analysis and Review of the Financing Model GreenGo was established in 2014 as the first free-float car-sharing service in the Hungarian market, GreenGo was established in 2014 as the first free-float car-sharing service in the Hungarian where it was the only market participant until 2017. The first day of real operation, when the company market, where it was the only market participant until 2017. The first day of real operation, when the started to provide services, was in November 2016, with 45 electric cars. company started to provide services, was in November 2016, with 45 electric cars. From the financial perspective, the assets and liabilities of the company looked as follows. Assets: From the financial perspective, the assets and liabilities of the company looked as follows. The long-term assets value continuously increased from HUF 69 M in 2019 to HUF 102 M on 2017, Assets: The long-term assets value continuously increased from HUF 69 M in 2019 to HUF 102 M on which consists of intangible assets of HUF 43 M, tangible assets of HUF 58 M, and other investments of 2017, which consists of intangible assets of HUF 43 M, tangible assets of HUF 58 M, and other HUF 1 M. This breakdown would give the reader important information if we included the published investments of HUF 1 M. This breakdown would give the reader important information if we data from January 2018 when GreenGo reported 168 vehicles, which in case of purchase, should be included the published data from January 2018 when GreenGo reported 168 vehicles, which in case recorded as property, plant, and equipment (PPE). It appears that HUF 58 M/168 vehicles = HUF 0.34 M of purchase, should be recorded as property, plant, and equipment (PPE). It appears that HUF 58 (approx. €1060) per car is a very unreasonable figure. The only reasonable explanation is if the company M/168 vehicles = HUF 0.34 M (approx. €1060) per car is a very unreasonable figure. The only applied operational leases, and these assets are off-balance-sheet financed items. Later in this review, reasonable explanation is if the company applied operational leases, and these assets are off-balance- this business model will be compared to that of the other Hungarian competitor. Below in Figure3 is sheet financed items. Later in this review, this business model will be compared to that of the other a summary table related to the asset items for the period 2014–2017: Hungarian competitor. Below in Figure 3. is a summary table related to the asset items for the period 2014–2017:
Resources 2019, 8, 172 6 of 16 Resources 2019, 8, x FOR PEER REVIEW 6 of 17 Resources 2019, 8, x FOR PEER REVIEW 6 of 17 900,000 € 900,000 € 800,000 € 811,250 € 800,000 € 811,250 € 700,000 € 700,000 € 600,000 € 600,000 € 500,000 € 500,000 € 400,000 € 400,000 € 300,000 € 268,999 € 186,455 € 300,000 € 268,999 € 186,455 € 200,000 € 200,000 € 30,049 € 95,958 € 100,000 € 30,049 € 95,958 € 100,000 € 15,358 € -€ 15,358 € -€ 2014 2015 2016 2017 2014 2015 2016 2017 Property, plant and equipment Long term assets Total assets Property, plant and equipment Long term assets Total assets
Figure 3. Changes in asset structure, GreenGo (2014–2017 in EUR) [[39].39]. Figure 3. Changes in asset structure, GreenGo (2014–2017 in EUR) [39]. Liabilities, equity: equity: The The equity equity value value remained remained relatively relatively the the same same over over 2016–2017, 2016–2017, i.e., i.e., HUF HUF 43 Liabilities, equity: The equity value remained relatively the same over 2016–2017, i.e., HUF 43 43M; M;however, however, the the generated generated loss loss increased increased signif significantlyicantly from from HUF HUF 18 18 M M (€59,000) (€59,000) to to HUF HUF 158 M M; however, the generated loss increased significantly from HUF 18 M (€59,000) to HUF 158 M ((€512,600),€512,600), whichwhichwas was compensated compensated by by the the equity equity contribution contribution from from owners. owners. The The debt debt/equity/equity ratio ratio also (€512,600), which was compensated by the equity contribution from owners. The debt/equity ratio significantlyalso significantly increased increased in relation in relation to the to liabilitiesthe liabilit increaseies increase by HUF by HUF 129.3 129.3 M, mainly M, mainly as a as result a result of the of also significantly increased in relation to the liabilities increase by HUF 129.3 M, mainly as a result of short-termthe short-term shareholders’ shareholders’ loans loans of HUF of HUF 115 115 M andM an thed the long-term long-term related related parties’ parties’ credit credit of HUFof HUF 16 M.16 the short-term shareholders’ loans of HUF 115 M and the long-term related parties’ credit of HUF 16 ProfitM. Profit and lossand statement:loss statement: The realized The realized revenue re increasedvenue increased from the from 2016 valuethe 2016 of HUF value 8 Mof (€HUF26,000) 8 M to M. Profit and loss statement: The realized revenue increased from the 2016 value of HUF 8 M the(€26,000) 2017 value to the of 2017 HUF value 111 Mof HUF (€358,000), 111 M while (€358,000), the expenses while the increased expenses from increased HUF 27 from M to HUF HUF 27 275 M M.to (€26,000) to the 2017 value of HUF 111 M (€358,000), while the expenses increased from HUF 27 M to ThisHUF was 275 theM. principalThis was reason the principal for the generated reason for loss the as generated the company loss did as notthe realizecompany enough did not revenue realize to HUF 275 M. This was the principal reason for the generated loss as the company did not realize compensateenough revenue for the to increased compensate material for the expenditures. increased material Below in Figureexpenditures.4 is a summary Below ofin theFigure statement 4 is a enough revenue to compensate for the increased material expenditures. Below in Figure 4 is a ofsummary profit and of the loss statement of GreenGo of profit for the and period loss ofof 2014–2017.GreenGo for the period of 2014–2017. summary of the statement of profit and loss of GreenGo for the period of 2014–2017.
1,500 1,500 1,000 1,000 500 500 0 0
thousands of EUR thousands of -500
thousands of EUR thousands of -500 -1,000 -1,000 Long term Current assets Equity Profit after tax Long term Short-term Longassets term Current assets Equity Profit(profit after + / loss- tax Longliabilities term Short-termliabilities assets (profit +) / loss- liabilities liabilities ) MOL GreenGo MOL GreenGo
Figure 4. Comparison of assets and liabilities of MOL Limo and GreenGo (2017) [39] Figure 4. Comparison of assets and liabilities of MOL Limo and GreenGo (2017) [39] Figure 4. Comparison of assets and liabilities of MOL Limo and GreenGo (2017) [39] In 2017, MOL Limo entered the market with secured funding from the listed Hungarian Oil- and-GasInIn 2017,2017, Company MOLMOL Limo (whereasLimo entered entered GreenGo the the market market owners with with are secured priv securedate funding investors). funding from thefromMOL listed theLimo Hungarianlisted market Hungarian presence Oil-and-Gas Oil- did and-GasCompanynot cause Company the (whereas reported (whereas GreenGo increasing GreenGo owners loss are ofowners privateGreenGo, are investors). priv becaateuse, investors). MOLin 2017, Limo itMOL did market notLimo realize presence market any didpresence revenue. not cause did In nottheTable cause reported 3, a thecomparison increasingreported betweenincreasing loss of GreenGo,the loss profit of GreenGo, because,and loss statementsbeca in 2017,use, itin did of2017, these not it realize didtwo not entities any realize revenue. is presented.any revenue. In Table In3, Tablea comparison 3, a comparison between between the profit the and profit loss and statements loss statements of these twoof these entities two isentities presented. is presented. Table 3. Comparison of the profit and loss statement for MOL Limo and GreenGo (2017) [39]. Table 3. Comparison of the profit and loss statement for MOL Limo and GreenGo (2017) [39]. 2017 Statement of Profit and Loss and Other Comprehensive Income MOL 2017 Statement of Profit and Loss and Other Comprehensive Income MOL GreenGo (Data Translated to €) LiMo GreenGo (Data Translated to €) LiMo Revenue 0 374,391 Results from operationRevenue (profit +/loss −) (EBIT) −215,5120 −374,391484,509 Results from operation (profit +/loss −) (EBIT) −215,512 −484,509
Resources 2019, 8, 172 7 of 16
Table 3. Comparison of the profit and loss statement for MOL Limo and GreenGo (2017) [39].
ResourcesResources 2019 2019, 8, ,8 x, xFOR FOR PEER PEER REVIEW REVIEW2017 Statement of Profit and Loss and Other 7 7of of 17 17 ResourcesResources 2019 2019, 8, 8, x, x FOR FOR PEER PEER REVIEW REVIEW MOL LiMo GreenGo 77 of of 17 17 Resources 2019, 8, x FOR PEER REVIEWComprehensive Income (Data Translated to €) 7 of 17 ResultsResults from from financial financial activities activitiesRevenue (profit (profit +/loss +/loss − −) ) 0−−93929392 374,391 −−27,40827,408 Results from financialResults from activities operation (profit (profit +/loss+/loss −)) (EBIT) 215,512 −9392 484,509−27,408 ProfitProfit before before tax tax (profit (profit +/loss +/loss − −) ) − − −−224,904224,904− −−511,918511,918 ProfitProfit before Resultsbefore tax from tax (profit financial(profit +/loss +/loss activities − −) ) (profit +/loss ) 9392−−224,904224,90427,408 −−511,918511,918 Profit before tax (profit +/loss −) − − −224,904− −511,918 Profit before tax (profit +/loss ) 224,904 511,918 − − − MOLMOL Limo Limo generated generated a a significantly significantly higher higher loss loss compared compared to to GreenGo, GreenGo, but but 2017 2017 was was the the year year of of MOLMOL Limo Limo generated generated a a significantly significantly higher higher loss loss compared compared to to GreenGo, GreenGo, but but 2017 2017 was was the the year year of of itsits establishment, establishment, with with a a large large scale scale of of operation operation and and considerable considerable fleet fleet investment, investment, as as presented presented in in itsits establishment, establishment,MOL with with Limo a a large large generated scale scale of of a operationsignificantly operation and and higher considerable considerable loss compared fleet fleet investment, investment, to GreenGo, as as presented butpresented 2017 was in in the year TableTable 3. 3. The The difference difference in in asset asset value value is is related related to to a a specific specific accounting accounting regulation regulation difference difference in in lease lease TableTable 3. 3. The Theof itsdifference difference establishment, in in asset asset withvalue value a is largeis related related scale to to of a a specific operation specific accounting accounting and considerable regulation regulation fleet difference difference investment, in in lease lease as presented accounting.accounting. MOLMOL LimoLimo preparedprepared anan IFRS-basedIFRS-based financialfinancial statement,statement, andand GreenGoGreenGo preparedprepared aa accounting.accounting.in TableMOLMOL 3 Limo.Limo The dipreparedpreparedfference an inan assetIFRS-basedIFRS-based value is financialfinancial related tostatement,statement, a specific and accountingand GreenGoGreenGo regulation preparedprepared di affa erence in simplifiedsimplified national national accounting-based accounting-based financial financial report. report. simplifiedsimplifiedlease national national accounting. accounting-based accounting-based MOL Limo financial financial prepared report. report. an IFRS-based financial statement, and GreenGo prepared FromFrom the the operation operation perspective, perspective, it it is is essential essential to to mention mention that that GreenGo GreenGo only only uses uses electric electric vehicles vehicles FromFroma the the simplified operation operation national perspective, perspective, accounting-based it it is is essential essential financialto to mention mention report. that that GreenGo GreenGo only only uses uses electric electric vehicles vehicles differentlydifferently fromfrom MOLMOL Limo.Limo. TheThe totaltotal numbernumber ofof 400400 electricelectric vehiclesvehicles operatedoperated byby thesethese twotwo differentlydifferently fromfromFrom MOLMOL the Limo.operationLimo. TheThe perspective, totaltotal numbernumber it is essentialofof 400400 electricelectric to mention vehiclesvehicles that GreenGo operatedoperated only byby usesthesethese electric twotwo vehicles companiescompanies representsrepresents approx.approx. 10%10% ofof thethe registeredregistered fullyfully electricelectric (excluding(excluding hybrids)hybrids) carscars inin companiescompaniesdi ffrepresentsrepresentserently from approx.approx. MOL Limo. 10%10% of Theof thethe total registeredregistered number of fully 400fully electric electricelectric vehicles (excluding(excluding operated hybrids)hybrids) by these carscars two inin companies Hungary,Hungary, as as presented presented in in Table Table 4. 4. It It should should also also be be highlighted highlighted that that hybrid hybrid vehicles vehicles increased increased more more Hungary,Hungary, representsas as presented presented approx. in in Table Table 10% 4. 4. of It It the should should registered also also be fullybe highlighted highlighted electric (excluding that that hybrid hybrid hybrids) vehicles vehicles cars increased increased in Hungary, more more as presented significantlysignificantly in in Hungary Hungary compared compared to to fully fully electric electric ones ones from from 2017 2017 to to 2018. 2018. This This trend trend seems seems to to significantlysignificantlyin Tablein in Hungary Hungary4. It should compared compared also be highlightedtoto fully fully electric electric that hybridones ones from from vehicles 2017 2017 increased to to 2018. 2018. This moreThis trend significantlytrend seems seems into to Hungary continuecontinue and and could could be be a a subject subject of of future future investigation. investigation. continuecontinue and comparedand could could be tobe a fully a subject subject electric of of future future ones frominvestigation. investigation. 2017 to 2018. This trend seems to continue and could be a subject of future investigation. TableTable 4. 4. Registered Registered electric electric vehicles vehicles in in Hungary Hungary and and comparison comparison MOL MOL LIMO LIMO and and GreenGo GreenGo fleets fleets [39]. [39]. Table 4. Registered electric vehicles in Hungary and comparison MOL LIMO and GreenGo fleets [39]. Table 4. RegisteredDescriptionDescription electric vehicles in Hungary and comparison MOL2017 LIMO2017 and GreenGo20182018 fleets [39]. DescriptionDescription 20172017 20182018 RegisteredRegistered number number of of vehicles vehicles in in Hungary Hungary 3,471,997 3,471,997 3,641,823 3,641,823 RegisteredRegistered number number of of vehicles vehiclesDescription in in Hungary Hungary 3,471,997 3,471,997 2017 3,641,823 3,641,823 2018 BudapestBudapest total total number number of of registered registered vehicles vehicles 633,554 633,554 659,513 659,513 BudapestBudapest total total number number of of registered registered vehicles vehicles 633,554 633,554 659,513 659,513 RegisteredRegistered “green “greenRegistered plate” plate” vehicles numbervehicles ofin in vehicles Hungary Hungary in Hungary 4543 4543 3,471,997 8482 3,641,823 8482 RegisteredRegistered “green “greenBudapest plate” plate” total vehicles vehicles number in in of Hungary Hungary registered vehicles 4543 4543 633,554 8482 8482 659,513 RegisteredRegistered hybrid hybrid vehicles vehicles in in Hungary Hungary 2414 2414 4709 4709 RegisteredRegistered Registeredhybrid hybrid vehicles vehicles “green in plate”in Hungary Hungary vehicles in Hungary 2414 2414 4543 4709 4709 8482 RegisteredRegistered number number of of electric electricRegistered vehicl vehicles hybrides in in Hungary Hungary vehicles in(5E (5E Hungary category) category) 2129 2129 2414 3773 3773 4709 RegisteredRegistered number number of of electric electric vehicl vehicleses in in Hungary Hungary (5E (5E category) category) 2129 2129 3773 3773 RegisteredGreenGo numberGreenGo of fleet electricfleet vehicles in Hungary (5E category) 168 168 2129 300 300 3773 GreenGo fleetGreenGo fleet 168 168 300 300 MOLMOL Limo Limo electric electric fleet fleet 100 100 100 100 MOL Limo electricMOL Limo fleet electric fleet 100 100 100 100 GreenGoGreenGo and and MOL MOL fleet fleet electric electric vehicles vehicles 268 268 400 400 GreenGoGreenGo and and GreenGoMOL MOL fleet fleet and electric electric MOL fleet vehicles vehicles electric vehicles 268 268 268 400 400 400 Car-sharingCar-sharing % % of of electric electric vehicles vehicles in in Hungary Hungary 12.59% 12.59% 10.6% 10.6% Car-sharingCar-sharing % %Car-sharing of of electric electric vehicles % vehicles of electric in in Hungary vehiclesHungary in Hungary 12.59% 12.59% 12.59% 10.6% 10.6% 10.6% 3.1.2.3.1.2. Lease Lease Accounting Accounting Differences Differences 3.1.2.3.1.2. Lease Lease3.1.2. Accounting Accounting Lease Accounting Differences Differences Di fferences LeaseLease accounting accounting is is significantly significantly different different in in th thee C C Act Act of of 2000 2000 compared compared to to IFRS. IFRS. According According to to LeaseLease accounting accountingLease accounting is is significantly significantly is significantly different different in diin thff therentee C C Act Act in theof of 2000 2000 C Act compared compared of 2000 compared to to IFRS. IFRS. According According to IFRS. According to to to HungarianHungarian AccountingAccounting LawLaw (HAL)(HAL) andand IFRS,IFRS, thethe definitiondefinition ofof leaselease isis different,different, andand otherother HungarianHungarianHungarian AccountingAccounting Accounting LawLaw (HAL)(HAL) Law (HAL) andand IFRS, andIFRS, IFRS, thethe thedefinitiondefinition definition ofof of leaselease is is di different,different,fferent, and andand other otherother fundamental fundamentalfundamental accounting accounting difference difference regard, regard, for for exampl example,e, operating operating leases, leases, which which are are not not required required by by fundamentalfundamentalaccounting accounting accounting diff differenceerence difference regard, regard, regard, for for example,for exampl exampl operatinge,e, operating operating leases, leases, leases, which which which are are are not not not required required required by by by HAL to be HALHAL to to be be recorded recorded in in the the balance balance sheet, sheet, as as shown shown in in Table Table 5. 5. Also, Also, in in the the disclosure disclosure requirements, requirements, HALHAL to to be berecorded recorded recorded in in in the the the balance balance balance sheet, sheet, sheet, asas as shownshown shown inin in TableTable Table5 .5. 5. Also,Also, Also, inin in thethe the disclosuredisclosure disclosure requirements,requirements, requirements, as in the asas in in the the HAL-based HAL-based financial financial statements, statements, operational operational leases leases only only appear appear in in the the profit profit and and loss loss asas inin thethe HAL-based HAL-basedHAL-based financial financialfinancial statements, statements,statements, operational operationaloperational leases leasesleases only onlyonly appear appearappear in the inin profit thethe profitprofit and loss andand statement. lossloss statement.statement. statement.statement. Table 5. Comparison of operational lease accounting between the Hungarian Accounting Law and TableTable 5. 5. Comparison Comparison of of operational operational lease lease accounting accounting between between the the Hungarian Hungarian Accounting Accounting Law Law and and Table 5. ComparisonIFRS 16 from of theoperational lessee perspective. lease accounting between the Hungarian Accounting Law and IFRSIFRS 16 16 from from the the lessee lessee perspective. perspective. IFRS 16 from the lessee perspective. Hungarian Accounting Law IFRS 16 Denomination HungarianHungarian Accounting Accounting Law Law IFRSIFRS 16 16 DenominationDenomination FinanceHungarian Leases Accounting Operating Law Leases AllIFRS Leases 16 DenominationDenomination FinanceFinance Leases Leases OperatingOperating Leases Leases AllAll Leases Leases FinanceFinance Leases Leases OperatingOperating Leases Leases AllAll Leases Leases AssetsAssets Assets ---—--- AssetsAssets ------Assets --- LiabilitiesLiabilities ------LiabilitiesLiabilities Liabilities ---—--- Liabilities --- Off-balanceOff-balance sheet sheet rights/obligations rights/obligationsOff-balance sheet ------Off-balanceOff-balance sheet sheet rights/obligations rights/obligations ------— ---—--- Off-balance sheet rights/obligationsrights/obligations ------
IFRSIFRS 16 16 key key objective objective was was to to record record the the operatio operationalnal lease lease committed committed rights rights (rights (rights of of use, use, ROU) ROU) IFRSIFRS 16 16 key key objective objective was was to to record record the the operatio operationalnal lease lease committed committed rights rights (rights (rights of of use, use, ROU) ROU) asas assets assets and and committed committed liabilities liabilities to to reduce reduce the the of off-balancef-balance sheet sheet items. items. Fo For rthe the entities entities reporting reporting asas assets assets and and committed committed liabilities liabilities to to reduce reduce the the of off-balancef-balance sheet sheet items. items. Fo For rthe the entities entities reporting reporting underunder HAL HAL regulation, regulation, this this is is not not a a requirement, requirement, and and in in case case of of an an independent independent financial financial analysis analysis or or underunder HAL HAL regulation, regulation, this this is is not not a a requirement, requirement, and and in in case case of of an an independent independent financial financial analysis analysis or or aa credit credit strength strength testing, testing, they they can can be be invisible. invisible. Th Thee recorded recorded off-balance off-balance sheet sheet value value can can be be significant significant aa credit credit strength strength testing, testing, they they can can be be invisible. invisible. Th Thee recorded recorded off-balance off-balance sheet sheet value value can can be be significant significant fromfrom a a creditor’s creditor’s or or financial financial analysis’ analysis’ point point of of view. view. GreenGo GreenGo reported reported under under HAL HAL regulation, regulation, where where fromfrom a a creditor’s creditor’s or or financial financial analysis’ analysis’ point point of of view. view. GreenGo GreenGo reported reported under under HAL HAL regulation, regulation, where where thethe operationaloperational leasesleases asas off-balanceoff-balance sheetsheet itemsitems mightmight createcreate aa businessbusiness advantageadvantage fromfrom thethe thethe operationaloperational leasesleases asas off-balanceoff-balance sheetsheet itemsitems mightmight createcreate aa businessbusiness advantageadvantage fromfrom thethe
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IFRS 16 key objective was to record the operational lease committed rights (rights of use, ROU) as assets and committed liabilities to reduce the off-balance sheet items. For the entities reporting under HAL regulation, this is not a requirement, and in case of an independent financial analysis or a credit strength testing, they can be invisible. The recorded off-balance sheet value can be significant from a creditor’s or financial analysis’ point of view. GreenGo reported under HAL regulation, where the operational leases as off-balance sheet items might create a business advantage from the presentation perspective because the leverage ratio does not show the total minimum of liabilities from the lease obligations.
3.1.3. Comparison to German Entities Germany has the most significant car-sharing market in Europe, with several service providers and over 30,000 registered users, as summarized below in Table6 in comparison to Hungary.
Table 6. Comparison of German and Hungarian entities’ published users, fleet size, and serviced cities.
Service Available in the Provider’s Name Registered Users Fleet Size Number of Cities Free-float car share providers in Germany Share Now (car2go and DriveNow) 3,000,000+ 20,000+ out of 3200+ electric 31 Flinkster (DB) 315,000 4000 300 Cambio 77,000 1600 22 Stadtmobil 63,000 2600 100 Book N Drive 43,000 1015 14 teilAuto 35,000 1000 19 Free-float car share providers in Hungary GreenGo (HUN) 30–40,000 300 electric 1 MOL LIMO (HUN) 40,000 100 electric350 petrol 1
From this table, it can be concluded that German free-float car-sharing companies operate significantly larger fleets and have a substantially larger number of registered users in absolute terms. Hungarian companies operate only in one city, namely, Budapest, with a total of 750 vehicles for a 525 km2 city area, where the population is approx. 1.75 M. In contrast, only one company, ShareNow, operates approx. 4000 cars in Berlin for an 891 km2 city area with a 3.6 M population. For additional comparison, in the capital city in the region with the most similar population, Vienna, only ShareNow operates, with 2000+ vehicles for a 1.8 M population and a 415 km2 city area. The service fees can also be compared, because in April 2019, ShareNow announced to extend the operation in Budapest as well, with approx. 240 vehicles (of which, 40 electric BMW i3). Table7 shows the fee and car type comparison.
Table 7. Comparison of free-float service costs between ShareNow, MOL Limo, and GreenGo (2019) [39–41].
Provider’s Name Service Fee Car Type Additional Conditions ShareNow (BMW and Daimler) from 99 HUF/min (0.32 cent/min) Mini, BMW 38.7 €/h GreenGo from 65 HUF/min (0.21 cent/min) VW Up MOL LIMO from 66 HUF/min (0.21 cent/mind) VW Up, Mercedes A class
ShareNow provides services across the EU and, in 2019, established the most significant European fleet; additionally, it published a plan to invest further €1 billion. With 20,000+ vehicles, joint companies operate in 24 countries globally. It is only a matter of time to utilize the economies-of-scale advantage and provide service in all European countries. A coverage map for Car2Go and DriveNow is shown in Figure5. From the operation and financial analysis perspectives, an apparent market concentration is happening now in Europe, which is a successful business model. Without doubts, it supports sustainability; however, there is no core sustainability element in this business model. The more effective utilization of the resources has an impact on sustainability, but it is based on a usual corporate profit model. Resources 2019, 8, 172 9 of 16
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Figure 5. Car2Go and DriveNow joint coverage. Figure 5. Car2Go and DriveNow joint coverage.
3.2. SustainabilityFrom the operation and financial analysis perspectives, an apparent market concentration is happening now in Europe, which is a successful business model. Without doubts, it supports From the sustainability perspective (Table2), three statements (out of a total of seven) appeared in sustainability; however, there is no core sustainability element in this business model. The more the official communications of the reviewed companies, presented in Table8. effective utilization of the resources has an impact on sustainability, but it is based on a usual corporate profit model. Table 8. Sustainability-related aspects of car-sharing [32,39–41].
Sustainability-Related 3.2. Sustainability GreenGo MOL Limo BMW DriveNow Daimler Car2Go Aspects of Car-Sharing From the sustainability perspective (Table 2), three statements (out of a totalThe smart of seven) ForTwo canappeared fit in almost any parking spot in the officialResource communications efficiency of the reviewed companies, presented in Table 8. There is less of an emphasis on parking Digital parking and can maneuver around through using rather infrastructure and road expansion service Park Now even the most intense than owning Table 8. Sustainability-related aspects of car-sharing [32,39–41].downtown rush hour traffic jams. The VW MOL Limo fleet Sustainability- 900 Electric is 450-strong (100 Low ecological 300 electric * cars vehiclesBMW in Europe, Related Aspects of GreenGo MOLelectrical Limo and 350 Daimler Car2Go footprint/low carbon DriveNow1300 in the USA Car-Sharing gas-powered vehicles) Shared cars are smaller than those in the average household. The smart ForTwo can fit Own less, interact more, in almostOver 50% any of Car2Go parking Resource efficiency There is less of an emphasis on DigitalDigital parking networking build social capital spotmembers and do can not ownmaneuver a car. through using parking infrastructure and service Park * Electric cars have two main advantages: unlike gasoline, electricity can be generated from variousaround sources even including the most ratherrenewable than owning ones, and electric vehiclesroad can expansion reduce urban air pollution fromNow road transportation. “However, while electric cars can reduce gasoline use, they increase electricity consumption. Dependingintense on how downtown the electricity rush is generated, emissions of particular air pollutants may reduce or increase” [42]. In AppendixB hour(Table A1traffic), we listjams. the vital sustainability-related statements from car2go and DriveNow sustainability reports; the reviewed sustainability reports are all related to Corporate Social ResponsibilityThe VW MOL (CSR) orientation. Limo fleet is 900 Electric 3.3. Analytic Hierarchy Process 450-strong 300 electric * vehicles in (100 electrical LowTo resolveecological the lack of reconciliationcars between financialEurope, and 1300 sustainability in reporting, potential and 350 gas- decision-supportfootprint/low models, such as the analytic hierarchy processthe model,USA can be utilized to present the powered connectioncarbon between the different reporting systems. It is crucial to determine the factors and to apply vehicles) proper weights for the specific items. To measure impacts, the method of the analytic hierarchy process Shared cars are smaller than (AHP) was used, where the weights of the factors were identified in order from the most to the least those in the average significant from the investor decision’s perspective. household. When constructing the decision-making environment, it is crucial to identify issues or attributes Own less, interact Over 50% of Car2Go that may be helpful [43,44], which brings the disharmony of traditionalDigital financial performance measuring more, build social members do not own a networking capital car.
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* Electric cars have two main advantages: unlike gasoline, electricity can be generated from various sources including renewable ones, and electric vehicles can reduce urban air pollution from road transportation. “However, while electric cars can reduce gasoline use, they increase electricity consumption. Depending on how the electricity is generated, emissions of particular air pollutants may reduce or increase” [42]. In Appendix B (Table A1), we list the vital sustainability-related statements from car2go and DriveNow sustainability reports; the reviewed sustainability reports are all related to Corporate Social Responsibility (CSR) orientation.
3.3. Analytic Hierarchy Process To resolve the lack of reconciliation between financial and sustainability reporting, potential decision-support models, such as the analytic hierarchy process model, can be utilized to present the connection between the different reporting systems. It is crucial to determine the factors and to apply proper weights for the specific items. To measure impacts, the method of the analytic hierarchy process (AHP) was used, where the weights of the factors were identified in order from the most to Resourcesthe2019 least, 8 significant, 172 from the investor decision’s perspective. 10 of 16 When constructing the decision-making environment, it is crucial to identify issues or attributes that may be helpful [43,44], which brings the disharmony of traditional financial performance attributesmeasuring and sustainabilityattributes and sustainability aspects into aspects perspective. into perspective. The AHP The theory AHP aimstheory to aims find to the find preferable the alternativepreferable by weighingalternative theby weighing priorities the of priorities the involved of the factors involved on factors a 1–9 scaleon a 1–9 (1: scale equal (1: importance, equal 9: higherimportance, importance 9: higher with importance respect to anotherwith respect component) to another and component) carrying outandpairwise carrying comparisonsout pairwise and standardizationcomparisons of and the standardization results to validate of the the results overall to ranking validate of the factors overall [43 ,ranking44]. Considering of factors the[43,44]. findings of theConsidering current study, the findings six elements of the current were selected study, six and elements weighed were (w), selected as shown and weighed in Figure (w),6. as shown in Figure 6.
Company valuation by investors
Total assets Profitability Cash flows Sustainability Large company Medium/small w: 5 w: 8 w: 6 w:1 w: 3 company w: 3
FigureFigure 6. 6.Decision Decision factorsfactors and and assumed assumed weights. weights.
In theIn analysisthe analysis process, process, pairwise pairwise comparisons comparisons were were developed developed for for each each criterion criterion using using linear linear integerinteger scaling, scaling, summarized summarized in in a 6a 6 ×6 6 matrix, matrix, which was was then then normalized normalized using using natural natural logarithms logarithms (ln(𝐴 )) [45]. Using the AHP template× and methodology of Goepel [46], the results were then averaged (ln(A)) [45]. Using the AHP template and methodology of Goepel [46], the results were then averaged by rows, and the impacts were measured by the Eigenvector method (EVM). The summary matrix is by rows,presented and the in Figure impacts 7. were measured by the Eigenvector method (EVM). The summary matrix is presented in Figure7. Resources 2019, 8, x FOR PEER REVIEW 11 of 17
FigureFigure 7. Summary7. Summary of of the the analytic analytic hierarchy process process (AHP) (AHP) matrix. matrix.
Additionally,Additionally, the the Eigenvalue Eigenvalue (or (orλ ,𝜆 consistency, consistency measure),measure), the the consistency consistency index index (CI), (CI), the mean the mean relativerelative error error (MRE) (MRE) of theof the weights, weights, and and the the consistencyconsistency ratio ratio (CR) (CR) were were calculated calculated [47]. [47 If]. the If the EigenvalueEigenvalue (the (the matrix matrix product product of of normalized normalized principalprincipal Eigenvectors) Eigenvectors) equals equals the thesample sample size size(6), (6), perfect consistency can be identified (𝜆=𝑛), which in our case corresponds to the value of 6.091. perfect consistency can be identified (λ = n), which in our case corresponds to the value of 6.091. The priorities pi in the input matrix were transformed into a near-consistent model using the The priorities pi in the input matrix were transformed into a near-consistent model using the EVM. EVM. In the pairwise n × n comparison matrix 𝐴=𝑎 , where 𝛺 ,𝛺 ,…, 𝛺 are comparable elements In the pairwise n n comparison matrix A = a , where Ω , Ω , ... , Ωn are comparable elements with with a positive× numerical value, the transformationij procedure1 2 is as follows: a positive numerical value, the transformation procedure is as follows: 𝛺 𝑤( ),…,𝑤( ) … ⎯⎯⎯⎯⎯⎯⎯⎯⎯ … (1) 𝛺measurement ( ) ( ) 𝑤 ,…,𝑤(1) (n) w , , w Ω1 procedure 1 ... 1 With the use of EVM, the measuring procedure can be adapted to pairwise comparisons: ... ... (1) −−−−−−−−−−−−−→ ∑ 𝑎 𝑤 =𝜆 𝑤 ,𝑖 =1,…,𝑛 , where 𝜆 𝑤 are the principal(1) Eigenvectors(n) [48]. Ωn w , ... , w The normalization process is as follows: n n
𝑝 =𝑟 / 𝑟 (2) The CI was calculated by: (𝜆 − 𝑛) CI = = 0.18% (3) 𝑛−1
Error calculation of the priority vector 𝑤 with the used EVM followed: