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Reassessing the threshold at which urbanization can slow or accelerate climate change in developing countries

Author

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  • Aristide Merlin Ngono

    (University of Dschang)

  • Herve Williams Mougnol A. Ekoula

    (University of Yaounde II-SOA)

  • Marc-Hubert Depret

    (University of Poitiers)

  • Emmanuel Bruno Ongo Nkoa

    (University of Yaounde II-SOA)

  • Franklin Daave Mvogo I. I. Ossede

    (University of Dschang)

  • Borice Augustin Ngounou

    (University of Dschang)

Abstract

The rapid urbanization of developing countries poses a paradoxical challenge to climate policy while cities can stimulate innovation and efficiency, they also concentrate emissions and vulnerable populations. This study addresses the critical question of whether threshold effects exist in the relationship between urbanization, population growth and climate outcomes. This could inform more targeted policy interventions. Specifically, we examine the levels at which urbanization transitions from climate mitigation to acceleration in developing countries. Using a Threshold Generalized Method of Moments model, we analyse panel data from 74 developing countries between 1995 and 2021, focusing on climate vulnerability and carbon dioxide emissions as the dependent variables. Our methodology identifies critical breakpoints at which urbanization and demographic factors significantly alter their impact on climate outcomes. The results reveal distinct threshold effects with important policy implications. Urbanization reduces climate vulnerability below a 13% urban population share, but increases carbon dioxide emissions beyond a 37% urban population share. Population growth accelerates vulnerability and emissions above 56% and 37%, respectively. Gender analysis shows that men increase emissions, whereas women reduce them. Both urbanization and population growth elevate mortality rates and reduce life expectancy across all examined thresholds. These findings contribute to the existing literature by quantifying the specific threshold levels at which urbanization shifts from providing climate benefits to imposing climate burdens. Identifying these breakpoints enables policymakers to implement targeted interventions before critical limits are reached. Our results suggest that developing countries should priorities the integration of information and communication technology, artificial intelligence applications and green transition policies to optimise the benefits of urbanization while minimizing climate risks. This threshold-based approach offers a novel framework for climate resilience.

Suggested Citation

  • Aristide Merlin Ngono & Herve Williams Mougnol A. Ekoula & Marc-Hubert Depret & Emmanuel Bruno Ongo Nkoa & Franklin Daave Mvogo I. I. Ossede & Borice Augustin Ngounou, 2025. "Reassessing the threshold at which urbanization can slow or accelerate climate change in developing countries," SN Business & Economics, Springer, vol. 5(10), pages 1-59, October.
  • Handle: RePEc:spr:snbeco:v:5:y:2025:i:10:d:10.1007_s43546-025-00920-w
    DOI: 10.1007/s43546-025-00920-w
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    1. Wu, De-Min, 1973. "Alternative Tests of Independence Between Stochastic Regressors and Disturbances," Econometrica, Econometric Society, vol. 41(4), pages 733-750, July.
    2. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    3. Zhu, Hui-Ming & You, Wan-Hai & Zeng, Zhao-fa, 2012. "Urbanization and CO2 emissions: A semi-parametric panel data analysis," Economics Letters, Elsevier, vol. 117(3), pages 848-850.
    4. Perry Sadorsky, 2014. "The Effect of Urbanization and Industrialization on Energy Use in Emerging Economies: Implications for Sustainable Development," American Journal of Economics and Sociology, Wiley Blackwell, vol. 73(2), pages 392-409, April.
    5. Cheng He & Liguo Zhou & Weichun Ma & Yuan Wang, 2019. "Spatial Assessment of Urban Climate Change Vulnerability during Different Urbanization Phases," Sustainability, MDPI, vol. 11(8), pages 1-19, April.
    6. Samuel A Sarkodie & Evans B Ntiamoah & Dongmei Li, 2019. "Panel heterogeneous distribution analysis of trade and modernized agriculture on CO2 emissions: The role of renewable and fossil fuel energy consumption," Natural Resources Forum, Blackwell Publishing, vol. 43(3), pages 135-153, August.
    7. Qunyong Wang, 2015. "Fixed-effect panel threshold model using Stata," Stata Journal, StataCorp LLC, vol. 15(1), pages 121-134, March.
    8. Ruhul Salim & Shuddhasattwa Rafiq & Sahar Shafiei & Yao Yao, 2019. "Does urbanization increase pollutant emission and energy intensity? evidence from some Asian developing economies," Applied Economics, Taylor & Francis Journals, vol. 51(36), pages 4008-4024, August.
    9. Jerry Hausman, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    10. Aurelien K. Yeyouomo & Simplice A. Asongu, 2024. "Sustainable urbanization and vulnerability to climate change in Africa: Accounting for digitalization and institutional quality," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(1), pages 1188-1216, February.
    11. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    12. Simplice A. Asongu & Omang O. Messono & Keyanfe T. J. Guttemberg, 2022. "Women political empowerment and vulnerability to climate change: evidence from 169 countries," Climatic Change, Springer, vol. 174(3), pages 1-26, October.
    13. Jack Ngarambe & Mattheos Santamouris & Geun Young Yun, 2022. "The Impact of Urban Warming on the Mortality of Vulnerable Populations in Seoul," Sustainability, MDPI, vol. 14(20), pages 1-26, October.
    14. Han, Peter & Foltz, Jeremy, 2015. "Infant Mortality in West Africa: The Role of Climate," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205730, Agricultural and Applied Economics Association.
    15. Wang, Zhaohua & Yin, Fangchao & Zhang, Yixiang & Zhang, Xian, 2012. "An empirical research on the influencing factors of regional CO2 emissions: Evidence from Beijing city, China," Applied Energy, Elsevier, vol. 100(C), pages 277-284.
    16. Shen, Pengyuan & Lior, Noam, 2016. "Vulnerability to climate change impacts of present renewable energy systems designed for achieving net-zero energy buildings," Energy, Elsevier, vol. 114(C), pages 1288-1305.
    17. Wang, Ping & Wu, Wanshui & Zhu, Bangzhu & Wei, Yiming, 2013. "Examining the impact factors of energy-related CO2 emissions using the STIRPAT model in Guangdong Province, China," Applied Energy, Elsevier, vol. 106(C), pages 65-71.
    18. Myung Hwan Seo & Sueyoul Kim & Young-Joo Kim, 2019. "Estimation of dynamic panel threshold model using Stata," Stata Journal, StataCorp LLC, vol. 19(3), pages 685-697, September.
    19. K. Oleson & A. Monaghan & O. Wilhelmi & M. Barlage & N. Brunsell & J. Feddema & L. Hu & D. Steinhoff, 2015. "Interactions between urbanization, heat stress, and climate change," Climatic Change, Springer, vol. 129(3), pages 525-541, April.
    20. Hui Dai & Jamal Mamkhezri & Noman Arshed & Anam Javaid & Sultan Salem & Yousaf Ali Khan, 2022. "Role of Energy Mix in Determining Climate Change Vulnerability in G7 Countries," Sustainability, MDPI, vol. 14(4), pages 1-15, February.
    21. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    22. Alfons Weersink & William Deen & Susan Weaver, 1991. "Defining and Measuring Economic Threshold Levels," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 39(4), pages 619-625, December.
    23. Poumanyvong, Phetkeo & Kaneko, Shinji, 2010. "Does urbanization lead to less energy use and lower CO2 emissions? A cross-country analysis," Ecological Economics, Elsevier, vol. 70(2), pages 434-444, December.
    24. Matthias Garschagen & Patricia Romero-Lankao, 2015. "Exploring the relationships between urbanization trends and climate change vulnerability," Climatic Change, Springer, vol. 133(1), pages 37-52, November.
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