Abstract
The developmental triangle earlier comprises economic growth, income inequality, and poverty, while in this study, we extended it by incorporating environmental and resource factors, health and education factors, sectoral value added, and some other growth-specific factors for assessing pro-poor growth, by considering Bolivian economy as a case study. The elasticity estimates show that agriculture and industrial sector growth is not pro-poor due to account of high income inequality, while services sector played a vital role in country’s economic development and supports poor livelihood in a country. Energy and environmental resources negatively impact on quality of life of the poor relative to non-poor, which create income differences among them. Health and education expenditures give favors to the poor and supported the notion of pro-poor growth, while country’s per capita income and foreign direct investment inflows increase income inequality that lead towards pro-rich growth. The results conclude that, in general, Bolivian economy growth is fairly unstable, polluted, and unhealthy that biased to the poor relative to non-poor.
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Notes
PeGI index is one of the new forms of PPGI, which is based upon the argument of pro-equality growth and designed this index for classification of the countries on the basis of high (in)equality. The general form of PeGI is the product of different inequalities (exists in the health, education, and labor market) and Gini coefficient relative to the growth rate of the mean income (GRIM). The weighted index is used to formulate PeGI by the standard deviation of respective education, health, and labor market inequalities factors, which is represented by α, β, and γ respectively. The threshold value lies in between less than zero to greater than one, i.e., if PeGI value is greater than one, then the country is classified highly equitable and if PeGI value is less than zero that represented higher inequality promotes country’s economic growth on the cost of market imperfections, health, and education.
Klasen (2008) argued that Bolivia economy faces largely swings in the different dimensions of high inequality in both the income and non-income factors, resulting the insignificant progress in many important pro-poor growth aspects; however, after long-term sustained efforts by different national and international agencies and government’s pro-poor growth reforms in terms of international cooperation and significant debt relief support the country’s economic growth.
Zaman’s identity of PPG formulation is calculated by growth and inequality elasticity in quadratic mode and with the interaction effect of growth and inequality, and sum up with the total poverty elasticity.
Zaman and Khilji (2014) proposed a number of propositions to describe pro-poorness of social expenditures in a context of Pakistan, i.e., proposition 1: social expenditures related to the entire class of poverty monotonically a decreasing function with the initial value of growth rate. Proposition 2: if the mean income is greater than the poverty line, so inequality elasticity with respect to poverty remains positive. Proposition 3: higher social expenditures growth elasticity reduce inequality elasticity to make growth pro-poor in order to reduce total poverty elasticity. Proposition 4: pro-poorness of social expenditures monotonically increases with the FGT measures of poverty.
References
BBC News (2017). Bolivia country profile. Online available at: http://www.bbc.com/news/world-latin-america-18727507 (accessed on 2nd November, 2017).
Bhagwati JN (1988) Poverty and public policy. World Dev 16(5):539–654
Bourguignon F (2004) The poverty-growth-inequality triangle. Poverty Inequal Growth 69:342674–1206111890151
Boyd E, May P, Chang M, Veiga FC (2007) Exploring socioeconomic impacts of forest based mitigation projects: lessons from Brazil and Bolivia. Environ Sci Pol 10(5):419–433
Byerlee D, Diao X, & Jackson CP (2005). Agriculture, rural development, and pro-poor growth: country experiences in the post-reform era. Agriculture & Rural Development Department., World Bank.
Chatterjee L (1989) Chapter 14: Development planning and spatial inequality: the relevance of the Gandhian approach. Gandhian Model Dev World Peace 1:173–195
Chenery H, Ahluwhalia M (1974) Redistribution with Growth. Oxford University Press, Oxford
Chok S, Macbeth J, Warren C (2007) Tourism as a tool for poverty alleviation: a critical analysis of “pro-poor tourism” and implications for sustainability. Curr Issue Tour 10(2-3):144–165
Crook RC, & Sverrisson AS (1999). To what extent can decentralized forms of government enhance the development of pro-poor policies and improve poverty-alleviation outcomes?. Online available at: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.197.1906&rep=rep1&type=pdf (accessed on 24th November, 2018).
Crossroads International (2016). Bolivia: crossroads’ work in Bolivia. Online available at: https://www.cintl.org/page.aspx?pid=295 (accessed on 2nd November, 2017).
Datt G, Ravallion M (1992) Growth and redistribution components of changes in poverty measures: a decomposition with applications to Brazil and India in the 1980s. J Dev Econ 38(2):275–295
Davis TE (1964) Dualism, stagnation, and inequality the impact of pension legislation in the Chilean labor market. ILR Rev 17(3):380–398
Dorward A, Kydd J, Morrison J, Urey I (2004) A policy agenda for pro-poor agricultural growth. World Dev 32(1):73–89
Fields GS (1979) A welfare economic approach to growth and distribution in the dual economy. The Quarterly Journal of Economics, 93(3):325–353
Gertler P, Shelef O, Wolfram C, & Fuchs A (2013). How pro-poor growth affects the demand for energy (No. w19092). National Bureau of Economic Research. Online available at: http://www.nber.org/papers/w19092 (accessed on 3rd November, 2017).
Goh CC, Xubei LUO, Nong ZHU (2009) Income growth, inequality and poverty reduction: a case study of eight provinces in China. China Econ Rev 20(3):485–496
Griggs D, Stafford-Smith M, Gaffney O, Rockström J, Öhman MC, Shyamsundar P, ... Noble I (2013) Policy: Sustainable development goals for people and planet. Nature, 495(7441):305–307
Grosse M, Harttgen K, Klasen S (2008) Measuring pro-poor growth in non-income dimensions. World Dev 36(6):1021–1047
Gupta I, Mitra A (2004) Economic growth, health and poverty: an exploratory study for India. Dev Policy Rev 22(2):193–206
Hilgerdt F (1982) International trade, population, and international inequality. Popul Dev Rev 8(2):385–391
Islam R (2004). The nexus of economic growth, employment and poverty reduction: an empirical analysis. Issues in employment and poverty discussion paper 14. Recovery and Reconstruction Department International Labour Office, Geneva.
Kakwani N, Pernia E (2000) What is pro-poor growth. Asian Dev Rev 16(1):1–22
Kakwani N, Son H (2002) Pro-poor growth: concept, measurement, and application. In: Sydney: unpublished mimeo. University of New South, Wales
Kakwani N, Neri MC, Son HH (2010) Linkages between pro-poor growth, social programs and labor market: the recent Brazilian experience. World Dev 38(6):881–894
Khan HUR, Khan A, Zaman K, Nabi AA, Hishan SS, Islam T (2017) Gender discrimination in education, health, and labour market: a voice for equality. Qual Quant 51:2245–2266
Khan HUR, Nassani AA, Aldakhil AM, Abro MMQ, Islam T, Zaman K (2019) Pro-poor growth and sustainable development framework: evidence from two step GMM estimator. J Clean Prod 206:767–784
Kirk W (1981) Cores and peripheries: the problems of regional inequality in the development of southern Asia. Geography 66(3):188–201
Klasen S (2008) Economic growth and poverty reduction: measurement issues using income and non-income indicators. World Dev 36(3):420–445
Klasen S, Reimers M (2017) Looking at pro-poor growth from an agricultural perspective. World Dev 90:147–168
Klasen S, Grosse M, Thiele R, Lay J, Spatz J, & Wiebelt M (2004). Operationalizing pro-poor growth, country case study: Bolivia (No. 101). Discussion Papers/Universität Göttingen, Ibero-Amerika-Institut für Wirtschaftsforschung.
Knight DW (2018) An institutional analysis of local strategies for enhancing pro-poor tourism outcomes in Cuzco, Peru. J Sustain Tour 26(4):631–648
Komives K (1999). Designing pro-poor water and sewer concessions: early lessons from Bolivia. The World Bank.
Kuznets S (1955) Economic growth and income inequality. Am Econ Rev 45(1):1–28
Lewin KM, Sabates R (2012) Who gets what? Is improved access to basic education pro-poor in Sub-Saharan Africa? Int J Educ Dev 32(4):517–528
Lopez H, & Servén L (2006). A normal relationship? Poverty, growth, and inequality. World Bank Policy Research Working Paper No. 3814. Online available at: https://papers.ssrn.com/soL3/papers.cfm?abstract_id=875680 (accessed on 3rd November, 2017).
McCulloch N, Baulch B (1999a) Tracking pro-poor growth new ways to spot the biases and benefits. Insights 31(3):1–10
McCulloch N, & Baulch B (1999b). Tracking pro-poor growth. New ways to spot the biases and benefits. Insights, (31), 3. Online available at: https://www.popline.org/node/529012 (accessed on 24th November, 2018)
McCulloch N, Baulch B (2000) Simulating the impact of policy upon chronic and transitory poverty in rural Pakistan. J Dev Stud 36(6):100–130
Mowforth M, & Munt I (2015). Tourism and sustainability: development, globalisation and new tourism in the third world. Routledge.
Poulton C, Kydd J, Dorward A (2006) Overcoming market constraints on pro-poor agricultural growth in Sub-Saharan Africa. Dev Policy Rev 24(3):243–277
Ravallion M, Chen S (2003) Measuring pro-poor Growth. Econ Lett 78(1):93–99
Rodgers GB (1978) Demographic determinants of the distribution of income. World Dev 6(3):305–318
Smith AD (1967) Minimum wages and the distribution of income with special reference to developing countries. Int’l Lab Rev 96:129
Son HH (2003) A new poverty decomposition. J Econ Inequal 1(2):181–187
Son HH (2004) A note on pro-poor growth. Econ Lett 82(3):307–314
Son HH, Kakwani N (2008) Global estimates of pro-poor growth. World Dev 36(6):1048–1066
Spengler JJ (1953) Changes in income distribution and social stratification: a note. Am J Sociol 59(3):247–259
Steckel JC, Jakob M, Flachsland C, Kornek U, Lessmann K, Edenhofer O (2017) From climate finance toward sustainable development finance. Wiley Interdiscip Rev Clim Chang 8(1):e437. https://doi.org/10.1002/wcc.437
Timmer P (2005). Agriculture and pro-poor growth: an Asian perspective. Online available at: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1114155 (accessed on 3rd November, 2017).
Vargas J, and Garriga S (2015). Explaining inequality and poverty reduction in Bolivia. IMF working paper, WP/15/265. Online available at: https://www.imf.org/en/Publications/WP/Issues/2016/12/31/Explaining-Inequality-and-Poverty-Reduction-in-Bolivia-43471 (accessed on 2nd November, 2017)
Wagstaff A (2002) Poverty and health sector inequalities. Bull World Health Organ 80(2):97–105
Will M (2008). Promoting value chains of neglected and underutilized species for pro-poor growth and biodiversity conservation: guidelines and good practices.
World Bank (2016) World development indicator. World Bank, Washington
Zaman K, Khilji BA (2014) A note on pro-poor social expenditures. Qual Quant 48(4):2121–2154
Zaman K, Shamsuddin S (2018) Linear and non-linear relationships between growth, inequality, and poverty in a panel of Latin America and the Caribbean countries: a new evidence of pro-poor growth. Soc Indic Res 136(2):595–619
Zere E, Moeti M, Kirigia J, Mwase T, Kataika E (2007) Equity in health and healthcare in Malawi: analysis of trends. BMC Public Health 7(1):78–85
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The authors extend their appreciation to the Deanship of Scientific Research at King Saud University for funding this work through research group no. RG-1437-027
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Khan, H.U.R., Zaman, K., Yousaf, S.U. et al. Socio-economic and environmental factors influenced pro-poor growth process: new development triangle. Environ Sci Pollut Res 26, 29157–29172 (2019). https://doi.org/10.1007/s11356-019-06065-2
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DOI: https://doi.org/10.1007/s11356-019-06065-2