Fertility and Structural Change in Developing Countries

Fertility and Structural Change in Developing Countries

FERTILITY AND STRUCTURAL CHANGE IN DEVELOPING COUNTRIES Dissertation Rainer Grundmann, M.Sc. Schriftliche Arbeit zur Erlangung des akademischen Grades des Doktors der Wirtschaftswissenschaften (Dr. rer. pol.) eingereicht an der Fakultät für Wirtschaftswissenschaften der Universität Paderborn im November 2015 Gutachter: 1. Prof. Dr. Thomas Gries 2. Prof. Dr. Yuanhua Feng Acknowledgments First and foremost I would like to express my sincere gratitude to my advisor Prof. Dr. Thomas Gries for the continuous support of my research, for his motivation and patience and for providing me with an excellent academic environment. His guidance, support and creative thinking contributed immensely to the formation of this thesis. As this thesis con- sists of several joint works with him I am also thankful for those many insightful discussions we had. I am also deeply thankful to Prof. Dr. Yuanhua Feng who, without hesitation, agreed to serve as my supervisor and Prof. Dr. Manfred Kraft for discussing empirical methodolgies, both contributed to the development of this thesis. Special thanks go to my current and former colleagues Margarete Redlin, Irene Palnau, Natasa Bilkic, Ha van Dung, Daniel Meierrieks, Stefan Gravemeyer, Burkhard Wilmes, Marlon Fritz, Sarah Augustin and Johannes van der Molen for interesting discussions concerning my work, insightful suggestions and the particularly nice work atmosphere at the chair. And last but not least I thank my family and Ewa for their constant support and encouragement during all times. And also, though with a smile, for their perceptive sense of when to ask and when not to. i Contents 1 Introduction 1 1.1 Fertility decline and its drivers . 6 1.2 Fertility and trade . 16 1.3 Fertility and modernization . 20 1.4 Modern sector development with trade and institutions . 24 2 Trade and Fertility in the Developing World: The Impact of Trade and Trade Structure 29 2.1 Introduction . 29 2.2 Empirical Analysis . 34 2.2.1 Model and Methodology . 35 2.2.2 Data and variables . 38 2.3 Estimation Results . 42 2.4 Conclusion . 50 2.5 Appendix to Chapter 2 . 51 3 Fertility and Modernization: The Role of Urbanization in Developing Countries 55 3.1 Introduction . 56 3.2 Data and Methodology . 61 ii 3.2.1 Data . 61 3.2.2 Model . 65 3.2.3 Estimation design . 66 3.3 Results . 67 3.4 Conclusion . 72 3.5 Appendix to Chapter 3 . 73 4 Modern Sector Development - The Role of Exports and Institutions in Developing Countries 75 4.1 Introduction . 75 4.2 Empirical Analysis . 83 4.2.1 Model and Methodology . 83 4.2.2 Data and Variables . 88 4.3 Results . 92 4.3.1 Extension . 98 4.4 Conclusion . 101 4.5 Appendix to Chapter 4 . 104 5 Concluding remarks 107 References 110 iii List of Tables 2.1 Trade and Fertility (Main Sample - GMM Estimates) . 43 2.2 Trade and Fertility (High-/Low-Income Samples - GMM Estimates) . 44 2.3 Trade and Fertility (Middle- and Low-Income Countries - Fixed E¤ects Es- timates) . 47 A2.1 Summary statistics . 52 A2.2 Data Sources and Description . 53 A2.3 Trade and Fertility (Complete Sample - Fixed E¤ects Estimates) . 54 3.1 Summary statistics . 65 3.2 Modernization and Fertility Change in Developing Countries I . 69 3.3 Modernization and Fertility Change in Developing Countries II . 71 A3.1 Countries included by slum incidence . 73 4.1 Manufacturing Growth in Developing Countries - System GMM Estimates 93 4.2 Manufacturing Growth in Developing Countries - Di¤erent Estimators . 95 4.3 Manufacturing Growth in Developing Countries - Di¤erent Insitutions . 100 4.4 Manufacturing Growth in Developing Countries - Income Interactions by Quintile . 102 A4.1 Summary statistics . 105 A4.2 Countries included . 106 iv List of Figures 1 1 World population development for di¤erent fertility scenarios, 2000-2060 . 2 1 2 Demographic transition scheme . 3 1 3 Fertility levels and engagement in agricultural production . 5 3 1 Fertility in selected countries, 1960 - 2012 (based on World Bank (2013) data). 57 A3 1 Urban fertility and slum incidence . 74 A3 2 Urban fertility and export diversi…cation . 74 4 1 Association between sectoral and overall growth in developing countries, 1980 - 2010. 77 4 2 Employment growth: sectoral and overall, by income group. 78 v List of abbreviations BRICs .................... Country Group: Brazil, Russia, India, China CME .................... Child Mortality Estimates DHS .................... Demographic and Health Survey FE .................... Fixed E¤ects GDP .................... Gross Domestic Product GLS .................... Generalized Least Squares GM .................... Galor and Mountford (2008) GMM .................... Generalized Method of Moments GNI .................... Gross National Income ICRG .................... International Country Risk Guide LSDV .................... Least Squares Dummy Variable OECD .................... Organization of Economic Cooperation and Development OLS .................... Ordinary Least Squares PWT .................... Penn World Tables SITC .................... Standard International Trade Classi…cation TFR .................... Total Fertility Rate UGT .................... Uni…ed Growth Theory WDI .................... World Development Indicators WHO .................... World Health Organization WTO .................... World Trade Organization vi "I believe that the emphasis on curbing population growth diverts attention from the more vital issue of pursuing policies that allow the population to take care of itself.” Mohammad Yunus vii 1 Chapter 1 Introduction There is little doubt that the world population will grow. The most recent United Nation’s report on the development of the global population, the world population prospects (UN 2015), reveals that even in the most restrictive estimation trajectory population numbers worldwide will rise for at least another 35 years. However more likely, they will rise far beyond 2050 as predicted by the medium variant which sees the peak not to occur before 2100. Even though one may question the precision of century-spanning estimates, two things about the presented population development are remarkable and worth to note. The …rst is concerned about where additional people are located and the next are the de…ning bounds of future trajectories as published by the United Nations. In the medium variant, the latest revision projects an additional 2.2 billion people in the world by 2050. However, even the simplest division into developed and developing economies shows that almost all people will be added in developing countries. The popu- lation of developed countries is projected to maintain fairly stable at 1.3 billion. Thus, the increase of people is located in those countries at the lower end of the development ladder, a situation that will certainly put pressure on societal and economic development in these countries. However, while the location of additional people is easily and (most likely correctly) established - at least within the mentioned general division of country groups- the precise amount is by far harder to predict. The United Nation’s world population prospects 2 Population Development • Different fertility scenarios 2000•2060 (Billions) 12 10 8 6 2000 2020 2040 2060 Year past medium variant low variant high variant Source: United Nations Population Prospects (2015) Figure 1 1: World population development for di¤erent fertility scenarios, 2000-2060 therefore present next to the medium also a high and a low variant. Figure 1 1 presents a replication of the di¤erent variants based on data from the report for the years 2000 - 2060. The di¤erence projected between the high and the low variant within …ve years (by 2020) amounts already to 350 Million people, or the current population of the United States. A bit further down the road, by mid-century, this di¤erence already amounts to 2.6 billion people (10.9 vs 8.3), a number that has vast impacts on resources, the environment and human development. Even though there is no doubt that numbers of additional people in the presented dimensions do a¤ect human and environmental development and the pressure to understand their driving forces are high, it remains largely di¢ cult to map future population developments with precision. The major reason is uncertainty about the decline in fertility rates. The variants presented in …gure 1 1 are based on future expected developments of 3 Figure 1 2: Demographic transition scheme fertility (medium variant), with a margin of half a child more (high variant) or less (low variant) per woman. This rather ‡exible trajectory is sensible and mirrors the literature that debates about fertility decline. An answer to the question why fertility is the key can be retrieved when we look at the demographic transition model. A look at this model reveals why it is necessary to get fertility rates correctly predicted to make reliable estimates on population growth. A classic demographic transition occurs in several steps. It is characterized by (in principle) three phases (Coale 1984). Naturally population growth occurs (mostly) from a di¤erence in birth and death rates as depicted in …gure 1 2. Now, looking at both factors in the time continuum (…gure 1 2), the initial stage of the demographic transition is characterized by both, high birth and high death rates. As time passes the death rate (red line) starts to fall, which is the entry into the second stage. The arising di¤erence between continuously high birth rates and falling death rates increases population growth. Eventually, when the birth rate starts to fall as well, 4 population growth decreases again. The whole transition enters the …nal stage when birth and death rates have reached a lower level that keeps population growth again constant (just like at the beginning of the transition at both high and low birth and death rates). Explanations for a decline in mortality rates are generally easier at hand than for a decline in birth rates. As Bloom (2011) notes, "mortality decline is conventionally understood to be re‡ective of some combination of medical advances (...); dietary improvements; and public health measures focused on sanitation, safe drinking water, and vector control." (p.

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