Developing countries can combat energy poverty by enhancing renewable energy and economic growth with minimal adverse environmental effects. In this paper, we present a comprehensive analysis of energy poverty, renewable energy, economic growth, carbon dioxide emissions, and urbanization (URB) in South Asian countries from 1990 to 2021, focusing on Pakistan, India, Bangladesh, and Sri Lanka. We employed econometric analysis techniques like Panel Pooled Mean Group (PMG)- Autoregressive Distributed Lag (ARDL), Fully Modified Ordinary Least Squares (FMOLS), and Dynamic Ordinary Least Squares (DOLS) to provide empirical results, as they enable panel data and control for endogeneity. The findings suggested that the fight against energy poverty and the progress of economic growth need not be detrimental to the environment. Our results indicated that authorities can bring about positive change by promoting green sanitation, which involves using renewable energy sources in sanitation systems and combating energy poverty with renewable energy. These findings are significant in understanding the complex interplay between energy poverty, economic growth, and environmental deterioration, and they provide a hopeful basis for developing effective policies to address energy poverty, economic growth, and environmental degradation.
Citation: Memona Rasheed, Hooi Hooi Lean, Nam Foo. Energy poverty, economic growth and environmental degradation in South Asia: Do energy resources matter?[J]. Green Finance, 2026, 8(1): 41-62. doi: 10.3934/GF.2026002
Developing countries can combat energy poverty by enhancing renewable energy and economic growth with minimal adverse environmental effects. In this paper, we present a comprehensive analysis of energy poverty, renewable energy, economic growth, carbon dioxide emissions, and urbanization (URB) in South Asian countries from 1990 to 2021, focusing on Pakistan, India, Bangladesh, and Sri Lanka. We employed econometric analysis techniques like Panel Pooled Mean Group (PMG)- Autoregressive Distributed Lag (ARDL), Fully Modified Ordinary Least Squares (FMOLS), and Dynamic Ordinary Least Squares (DOLS) to provide empirical results, as they enable panel data and control for endogeneity. The findings suggested that the fight against energy poverty and the progress of economic growth need not be detrimental to the environment. Our results indicated that authorities can bring about positive change by promoting green sanitation, which involves using renewable energy sources in sanitation systems and combating energy poverty with renewable energy. These findings are significant in understanding the complex interplay between energy poverty, economic growth, and environmental deterioration, and they provide a hopeful basis for developing effective policies to address energy poverty, economic growth, and environmental degradation.
| [1] |
Ahmad M, Zhao ZY (2018) Empirics on linkages among industrialization, urbanization, energy consumption, CO2 emissions and economic growth: a heterogeneous panel study of China. Environ Sci Pollut Res 25: 30617–30632. https://dx.doi.org/10.1007/s11356-018-3054-3 doi: 10.1007/s11356-018-3054-3
|
| [2] |
Altın H (2024) The impact of energy efficiency and renewable energy consumption on carbon emissions in G7 countries. Int J Sustain Eng 17: 134–142. https://dx.doi.org/10.1080/19397038.2024.2319648 doi: 10.1080/19397038.2024.2319648
|
| [3] |
Al-Mulali U, Saboori B, Ozturk I (2015) Investigating the environmental Kuznets curve hypothesis in Vietnam. Energy Policy 76: 123–131. https://dx.doi.org/10.1016/j.enpol.2014.11.019 doi: 10.1016/j.enpol.2014.11.019
|
| [4] |
Altıntaş H, Kassouri Y (2020) Is the environmental Kuznets Curve in Europe related to the per-capita ecological footprint or CO2 emissions? Ecol Indic 113: 106187. https://dx.doi.org/10.1016/j.ecolind.2020.106187 doi: 10.1016/j.ecolind.2020.106187
|
| [5] | Atanasiu B (2014) The role of energy efficiency in addressing energy poverty. European Commission Workshop Report. |
| [6] |
Azam M, Khan AQ (2016) Urbanization and Environmental Degradation Evidence from Four SAARC Countries. Environ Prog Sustain Energy 35: 823–832. https://dx.doi.org/10.1002/ep.12282 doi: 10.1002/ep.12282
|
| [7] |
Bayale N, Ali E, Tchagnao AF, et al. (2021) Determinants of renewable energy production in WAEMU countries: new empirical insights and policy implications. Int J Green Energy 18: 602–614. https://dx.doi.org/10.1080/15435075.2021.1875467 doi: 10.1080/15435075.2021.1875467
|
| [8] | Boardman B (2013) Challenges and Solutions, Fixing Fuel Poverty. Routledge. https://dx.doi.org/10.4324/9781849774482 |
| [9] |
Churchill SA, Smyth R (2020) Energy poverty and health: Panel data evidence from Australia. Energy Econ 86: 104627. https://dx.doi.org/10.1016/j.eneco.2021.105219 doi: 10.1016/j.eneco.2021.105219
|
| [10] |
Crentsil AO, Asuman D, Fenny AP (2019) Assessing the determinants and drivers of multidimensional energy poverty in Ghana. Energ Policy 133: 110884. https://dx.doi.org/10.1016/j.enpol.2019.110884 doi: 10.1016/j.enpol.2019.110884
|
| [11] |
Danish M, Hassan ST (2023) Investigating the interaction effect of urbanization and natural resources on environmental sustainability in Pakistan. Int J Environ Sci Technol 20: 8477–8484. https://dx.doi.org/10.1007/s13762-022-04497-x doi: 10.1007/s13762-022-04497-x
|
| [12] |
Destek MA, Aslan A (2020) Disaggregated renewable energy consumption and environmental pollution nexus in G-7 countries. Renew Energ 151: 1298–1306. https://dx.doi.org/10.1016/j.renene.2019.11.138 doi: 10.1016/j.renene.2019.11.138
|
| [13] |
Dimnwobi SK, Okere KI, Onuoha FC, et al. (2023) Energy poverty, environmental degradation and agricultural productivity in Sub-Saharan Africa. Int J Sustain Dev World Ecol 30: 428–444. https://dx.doi.org/10.1080/13504509.2022.2158957 doi: 10.1080/13504509.2022.2158957
|
| [14] |
Dinda S (2004) Environmental Kuznets curve hypothesis: a survey. Ecol Econ 49: 431–455. https://dx.doi.org/10.1016/j.ecolecon.2004.02.011 doi: 10.1016/j.ecolecon.2004.02.011
|
| [15] |
Dogan E, Turkekul B (2016) CO2 emissions, real output, energy consumption, trade, urbanization, and financial development: testing the EKC hypothesis for the USA. Environ Sci Pollut Res 23: 1203–1213. https://dx.doi.org/10.1007/s11356-015-5323-8 doi: 10.1007/s11356-015-5323-8
|
| [16] |
Dogan E, Taspinar N, Gokmenoglu KK (2019) Determinants of Ecological Footprint in MINT countries. Energy Environ 30: 1065–1086. https://dx.doi.org/10.1177/0958305X19834279. doi: 10.1177/0958305X19834279
|
| [17] |
Doğanalp N, Ozsolak B, Aslan A (2021) The effects of energy poverty on economic growth: a panel data analysis for BRICS countries. Environ Sci Pollut Res 28: 50167–50178. https://dx.doi.org/10.1007/s11356-021-14185-x doi: 10.1007/s11356-021-14185-x
|
| [18] |
Ehigiamusoe KU, Lean HH, Chan JH (2020) The Influence of Macroeconomic Stability on Financial Development in Developing Economies: Evidence from the West African Region. Singap Econ Rev 65: 837–856. https://dx.doi.org/10.1142/S0217590819500553 doi: 10.1142/S0217590819500553
|
| [19] |
Fakher HA, Ahmed Z, Acheampong AO, et al. (2023) Renewable energy, nonrenewable energy & environmental quality nexus: an investigation of the N‑shaped Environmental Kuznets Curve based on six environmental indicators. Energy 263: 125660. https://dx.doi.org/10.1016/j.energy.2022.125660 doi: 10.1016/j.energy.2022.125660
|
| [20] |
Fatima T, Shahzad U, Cui L (2021) Renewable and nonrenewable energy consumption, trade and CO2 emissions in high emitter countries: does the income level matter? J Environ Plan Manag 64: 1227–1251. https://dx.doi.org/10.1080/09640568.2020.1816532 doi: 10.1080/09640568.2020.1816532
|
| [21] |
Grossman GM, Krueger AB (1995) Economic growth and the environment. Q J Econ 110: 353–377. https://dx.doi.org/10.2307/2118443 doi: 10.2307/2118443
|
| [22] | Gujarati DN, Porter DC (2009) Basic Econometrics. 5th ed. McGraw‐Hill International Edition, New York, NY, USA. |
| [23] | Haleem A, Khan M, Athar F (2020) Energy poverty and its impact on environment: a case study of Pakistan. J Econ Manag Sci 1: 68–89. |
| [24] |
Ikram M, Zhang Q, Sroufe R, et al. (2020) Towards a sustainable environment: the nexus between ISO 14001, renewable energy consumption, access to electricity, agriculture and CO2 emissions in SAARC countries. Sustain Prod Consum 22: 218–230. https://dx.doi.org/10.1016/j.spc.2020.03.011 doi: 10.1016/j.spc.2020.03.011
|
| [25] |
Im KS, Pesaran MH, Shin Y (2003) Testing for unit roots in heterogeneous panels. J Econometrics 115: 53–74. https://dx.doi.org/10.1016/S0304-4076(03)00092-7 doi: 10.1016/S0304-4076(03)00092-7
|
| [26] |
James N (2024) Urbanization and its impact on environmental sustainability. J Appl Geogr Stud 3: 54–66. https://dx.doi.org/10.47941/jags.1624 doi: 10.47941/jags.1624
|
| [27] |
Jie H, Zaman S, Zaman QU, et al. (2023) A pathway to a sustainable future: Investigating the contribution of technological innovations, clean energy, and Women's empowerment in mitigating global environmental challenges. J Clean Prod 421: 138499. https://dx.doi.org/10.1016/j.jclepro.2023.138499 doi: 10.1016/j.jclepro.2023.138499
|
| [28] |
Kao C, Chiang MH (2000) On the estimation and inference of a cointegrated regression in panel data. Adv Econometrics 15:179–222. https://dx.doi.org/10.1016/S0731-9053(00)15007-8 doi: 10.1016/S0731-9053(00)15007-8
|
| [29] |
Katircioglu ST (2014) Testing the tourism-induced EKC hypothesis: the case of Singapore. Econ Model 41: 383–391. https://dx.doi.org/10.1016/j.econmod.2014.05.028 doi: 10.1016/j.econmod.2014.05.028
|
| [30] |
Khan I, Gunwant DF (2024) An impact analysis of macroeconomic factors on South Asia's renewable energy output. Int J Energy Sect Manag 18: 539–558. https://dx.doi.org/10.1108/IJESM-01-2023-0013 doi: 10.1108/IJESM-01-2023-0013
|
| [31] |
Kuo Y, Maneengam A, Phan TC, et al. (2022) Fresh evidence on environmental quality measures using natural resources, renewable energy, non‑renewable energy and economic growth for 10 Asian nations from CS‑ARDL technique. Fuel 320: 123914. https://dx.doi.org/10.1016/j.fuel.2022.123914 doi: 10.1016/j.fuel.2022.123914
|
| [32] |
Levin A, Lin CF, Chu CSJ (2002) Unit root tests in panel data: asymptotic and finite sample properties. J Econometrics 108: 1–24. https://dx.doi.org/10.1016/S0304-4076(01)00098-7 doi: 10.1016/S0304-4076(01)00098-7
|
| [33] |
Li B, Haneklaus N (2022) Reducing CO2 emissions in G7 countries: the role of clean energy consumption, trade openness, and urbanization. Energy Rep 8: 704–713. https://dx.doi.org/10.1016/j.egyr.2022.01.238 doi: 10.1016/j.egyr.2022.01.238
|
| [34] |
Maddala GS, Wu S (1999) A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test. Oxford B Econ Stat 61: 631–652. http://dx.doi.org/10.1111/1468-0084.61.s1.13 doi: 10.1111/1468-0084.61.s1.13
|
| [35] |
Masron TA, Subramaniam Y (2021) Renewable energy and poverty–environment nexus in developing countries. Geo J 86: 2099–2115. https://dx.doi.org/10.1007/s10708-019-10073-7 doi: 10.1007/s10708-019-10073-7
|
| [36] | Maurya PK, Ali SA, Ahmad A, et al. (2020) An introduction to environmental degradation: Causes, consequence and mitigation. Environ Degrad Causes Remediat Strateg, 1–20. https://dx.doi.org/10.26832/aesa-2020-edcrs-01 |
| [37] |
Mesagan EP (2022) Environmental sustainability in Sub-Saharan Africa: the case of production and consumption activities. J Knowl Econ 13: 2840–2867. https://dx.doi.org/10.1007/s13132-021-00842-6 doi: 10.1007/s13132-021-00842-6
|
| [38] |
Munir Q, Lean HH, Smyth R (2020) CO₂ emissions, energy consumption and economic growth in the ASEAN-5 countries: A cross-sectional dependence approach. Energy Econ 85: 104571. https://dx.doi.org/10.1016/j.eneco.2019.104571 doi: 10.1016/j.eneco.2019.104571
|
| [39] |
Nathaniel SP, Adeleye N (2021) Environmental preservation amidst carbon emissions, energy consumption, and urbanization in selected African countries: implication for sustainability. J Clean Prod 285: 125409. https://dx.doi.org/10.1016/j.jclepro.2020.125409 doi: 10.1016/j.jclepro.2020.125409
|
| [40] |
Nong D, Simshauser P, Nguyen DB (2021) Greenhouse gas emissions CO2 emissions: Comparative analysis of a global carbon tax. Applied Energy 298: 117223. https://dx.doi.org/10.1016/j.apenergy.2021.117223 doi: 10.1016/j.apenergy.2021.117223
|
| [41] |
Ohlan R (2015) The impact of urbanization and energy consumption on CO₂ emissions in India. Environ Dev 13: 1–11. https://dx.doi.org/10.1016/j.envdev.2014.11.002 doi: 10.1016/j.envdev.2014.11.002
|
| [42] |
Omri A, Saidi K (2022) Factors influencing CO2 emissions in the MENA countries: the roles of renewable and non-renewable energy. Environ Sci Pollut Res 29: 1–12. https://dx.doi.org/10.1007/s11356-022-19727-5 doi: 10.1007/s11356-022-19727-5
|
| [43] |
Osuntuyi BV, Lean HH (2022) Economic growth, energy consumption and environmental degradation nexus in heterogeneous countries: Does education matter? Environ Sci Eur 34: 48. https://dx.doi.org/10.1186/s12302-022-00624-0 doi: 10.1186/s12302-022-00624-0
|
| [44] |
Pedroni P (2022) Fully modified OLS for heterogeneous cointegrated panels. Nonstationary panels, panel cointegration, and dynamic panels. Emerald Group Publishing Limited, 15: 93–130. https://dx.doi.org/10.1016/S0731-9053(00)15004-2 doi: 10.1016/S0731-9053(00)15004-2
|
| [45] |
Pesaran MH, Smith R (1995) Estimating long-run relationships from dynamic heterogeneous panels. J Econometrics 68: 79–113. https://dx.doi.org/10.1016/0304-4076(94)01644-F doi: 10.1016/0304-4076(94)01644-F
|
| [46] |
Pesaran MH, Shin Y, Smith RP (1999) Pooled mean group estimation of dynamic heterogeneous panels. J Am Stat Assoc 94: 621–634. https://dx.doi.org/10.2307/2670182 doi: 10.2307/2670182
|
| [47] |
Pesaran MH (2007) A simple panel unit root test in the presence of cross‐section dependence. J Appl Econom 22: 265–312. https://dx.doi.org/10.1002/jae.951 doi: 10.1002/jae.951
|
| [48] |
Rahman MM, Nepal R, Alam K (2021) Impacts of human capital, exports, economic growth and energy consumption on CO2 emissions of a cross-sectionally dependent panel: evidence from the newly industrialized countries (NICs). Environ Sci Policy 121: 24–36. https://dx.doi.org/10.1016/j.envsci.2021.03.017 doi: 10.1016/j.envsci.2021.03.017
|
| [49] |
Raza SA, Shah N (2018) Testing environmental Kuznets curve hypothesis in G7 countries: The role of renewable energy consumption and trade. Environ Sci Pollut Res 25: 26965–26977. https://dx.doi.org/10.1007/s11356‐018‐2673‐z doi: 10.1007/s11356‐018‐2673‐z
|
| [50] |
Ren G (2015) Urbanization as a major driver of urban climate change. Adv Clim Chang Res 6: 1–6. https://dx.doi.org/10.1016/j.accre.2015.08.003 doi: 10.1016/j.accre.2015.08.003
|
| [51] |
Reyes R, Schueftan A, Ruiz C, et al. (2019) Controlling air pollution in a context of high energy poverty levels in southern Chile: Clean air but colder houses? Energy Policy 124: 301–311. https://dx.doi.org/10.1016/j.enpol.2018.10.022 doi: 10.1016/j.enpol.2018.10.022
|
| [52] |
Sadorsky P (2014) The effect of urbanization on CO2 emissions in emerging economies. Energy Econ 41: 147–153. https://dx.doi.org/10.1016/j.eneco.2013.11.007 doi: 10.1016/j.eneco.2013.11.007
|
| [53] |
Schlosberg D (2012) Climate justice and capabilities: A framework for adaptation policy. Ethics Int Aff 26: 445–461. https://dx.doi.org/10.1017/S0892679412000615 doi: 10.1017/S0892679412000615
|
| [54] |
Shahbaz M, Sarwar S, Chen W, et al. (2017) Dynamics of electricity consumption, oil price, and economic growth: Global perspective. Energy Policy 108: 256–270. https://dx.doi.org/10.1016/j.enpol.2017.06.006 doi: 10.1016/j.enpol.2017.06.006
|
| [55] |
Shi K, Xu T, Li Y, et al. (2020) Effects of urban forms on CO₂ emissions in China from a multi-perspective analysis. J Environ Manag 262: 110300. https://dx.doi.org/10.1016/j.jenvman.2020.110300 doi: 10.1016/j.jenvman.2020.110300
|
| [56] |
Simcock N, Walker G, Day R (2017) Fuel poverty in the UK: Beyond heating? People Place Policy 10: 25–41. https://dx.doi.org/10.3351/ppp.0010.0001.0003 doi: 10.3351/ppp.0010.0001.0003
|
| [57] |
Sy SA, Mokaddem L (2022) Energy poverty in developing countries: a review of the concept and its measurements. Energy Res Soc Sci. 89: 102562. https://dx.doi.org/10.1016/j.erss.2022.102562 doi: 10.1016/j.erss.2022.102562
|
| [58] |
Ulucak R, Khan SUD (2020) Determinants of the ecological footprint: Role of renewable energy, natural resources, and urbanization. Sustain Cities Soc 54: 101996. https://dx.doi.org/10.1016/j.scs.2019.101996 doi: 10.1016/j.scs.2019.101996
|
| [59] |
Voumik LC, Islam MA, Ray S, et al. (2023) CO₂ emissions from renewable and non-renewable electricity generation sources in the G7 countries: Static and dynamic panel assessment. Energ 16: 1044. https://dx.doi.org/10.3390/en16031044 doi: 10.3390/en16031044
|
| [60] |
Vurro G, Santamaria V, Chiarantoni C, et al. (2022) Climate change impact on energy poverty and energy efficiency in the public housing building stock of Bari, Italy. Climate 10: 55. https://dx.doi.org/10.3390/cli10040055 doi: 10.3390/cli10040055
|
| [61] |
Wang Q, Zeng Y, Wu B (2016) Exploring the relationship between urbanization, energy consumption, and CO2 emissions in different provinces of China. Renew Sustain Energy Rev 54: 1563–1579. https://dx.doi.org/10.1016/j.rser.2015.10.090 doi: 10.1016/j.rser.2015.10.090
|
| [62] |
Wang WZ, Liu LC, Liao H, et al. (2021) Impacts of urbanization on carbon emissions: an empirical analysis from OECD countries. Energ Policy 151: 112171. https://dx.doi.org/10.1016/j.enpol.2021.112171 doi: 10.1016/j.enpol.2021.112171
|
| [63] |
Westerlund J (2007) Testing for error correction in panel data. Oxf Bull Econ Stat 69: 709–748. https://dx.doi.org/10.1111/j.1468-0084.2007.00477.x. doi: 10.1111/j.1468-0084.2007.00477.x
|
| [64] | World Bank (2024) EE+EA: enhancing the World Bank's energy access investments through energy efficiency. Available from: http://documents.worldbank.org/curated/en/2015/07/24819836/eeea-enhancing-world-bank?s-energy-access-investments-through-energy-efficiency. |
| [65] |
Xu B, Lin B (2015) How industrialization and urbanization impact CO2 emissions in China: evidence from nonparametric additive regression models. Energy Econ 48: 188–202. https://dx.doi.org/10.1016/j.eneco.2015.01.005. doi: 10.1016/j.eneco.2015.01.005
|
| [66] |
Zaman QU, Wang Z, Zaman S, et a. (2021) Investigating the nexus between education expenditure, female employers, renewable energy consumption and CO2 emission: Evidence from China. J Clean Prod 312: 0959–6526, https://dx.doi.org/10.1016/j.jclepro.2021.127824. doi: 10.1016/j.jclepro.2021.127824
|
| [67] |
Zhao J, Zhao Z, Zhang H (2021) The impact of growth, energy and financial development on environmental pollution in China: New evidence from a spatial econometric analysis. Energy Econ 93: 104506. https://dx.doi.org/10.1016/j.eneco.2019.104506 doi: 10.1016/j.eneco.2019.104506
|
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Memona Rasheed, Hooi Hooi Lean, Nam Foo. Energy poverty, economic growth and environmental degradation in South Asia: Do energy resources matter?[J]. Green Finance, 2026, 8(1): 41-62. doi: 10.3934/GF.2026002
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