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How Do Ecosystem Services Affect Poverty Reduction Efficiency? A Panel Data Analysis of State Poverty Counties in China

Author

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  • Peng Cao

    (School of Mathematics and Statistics, Hunan Normal University, Changsha 410081, China)

  • Xiao Ouyang

    (Hunan Institute of Economic Geography, Hunan University of Finance and Economics, Changsha 410205, China)

  • Jun Xu

    (Hunan Institute of Economic Geography, Hunan University of Finance and Economics, Changsha 410205, China)

Abstract

Scientific evaluation of the interaction between poverty reduction efficiency (PRE) and ecosystem services (ES) in state poverty counties is essential in promoting the rural revitalization strategy and the construction of an ecological civilization. Using the DEA model, the InVEST model, and fixed-effect panel data, this study was analyzed using the panel data of 832 poverty counties in China for 2010–2019 to evaluate the relationship between poverty reduction efficiency and ecosystem services. The main results are as follows: (1) The overall poverty reduction efficiency showed an upward trend, while ES exhibited a declining trend with spatial heterogeneity. The poverty reduction efficiency of state poverty counties in the western region increased rapidly. (2) The impact of different types of ecosystem services on poverty reduction efficiency varied considerably. Habitat quality was significantly negatively impacted, while food production and carbon storage showed significant positive effects. There was a significant positive relationship between ecosystem services and poverty reduction efficiency in all regions, with the eastern region having the strongest correlation. (3) The panel regression analysis showed a significant positive impact. The environmental parameters were the primary factors affecting poverty reduction efficiency, while economic and social factors were the driving and external factors. The rural revitalization strategy should strive towards the win-win effect of ecological protection and economic development.

Suggested Citation

  • Peng Cao & Xiao Ouyang & Jun Xu, 2022. "How Do Ecosystem Services Affect Poverty Reduction Efficiency? A Panel Data Analysis of State Poverty Counties in China," IJERPH, MDPI, vol. 19(3), pages 1-17, February.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:3:p:1886-:d:744245
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    1. Caldes, Natalia & Coady, David & Maluccio, John A., 2006. "The cost of poverty alleviation transfer programs: A comparative analysis of three programs in Latin America," World Development, Elsevier, vol. 34(5), pages 818-837, May.
    2. Kieslich, Marcus & Salles, Jean-Michel, 2021. "Implementation context and science-policy interfaces: Implications for the economic valuation of ecosystem services," Ecological Economics, Elsevier, vol. 179(C).
    3. Yanfeng Chen & Qingjie Xia & Xiaolin Wang, 2021. "Consumption and Income Poverty in Rural China: 1995–2018," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 29(4), pages 63-88, July.
    4. Dariush Khezrimotlagh & Yao Chen, 2018. "Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Decision Making and Performance Evaluation Using Data Envelopment Analysis, chapter 0, pages 217-234, Springer.
    5. Cheng, Xin & Chen, Jia & Jiang, Shiwei & Dai, Yan & Shuai, Chuanmin & Li, Wenjing & Liu, Yue & Wang, Chaofan & Zhou, Min & Zou, Lianghui & Zhang, Pan & Kang, Xiwen, 2021. "The impact of rural land consolidation on household poverty alleviation: The moderating effects of human capital endowment," Land Use Policy, Elsevier, vol. 109(C).
    6. Abosedra, Salah & Shahbaz, Muhammad & Nawaz, Kishwar, 2015. "Modeling Causality between Financial Deepening and Poverty Reduction in Egypt," MPRA Paper 67166, University Library of Munich, Germany, revised 09 Oct 2015.
    7. Wang, Zihan & Li, Jiaxin & Liu, Jing & Shuai, Chuanmin, 2020. "Is the photovoltaic poverty alleviation project the best way for the poor to escape poverty? ——A DEA and GRA analysis of different projects in rural China," Energy Policy, Elsevier, vol. 137(C).
    8. Gallardo, Mauricio, 2013. "Using the downside mean-semideviation for measuring vulnerability to poverty," Economics Letters, Elsevier, vol. 120(3), pages 416-418.
    9. Neaime, Simon & Gaysset, Isabelle, 2018. "Financial inclusion and stability in MENA: Evidence from poverty and inequality," Finance Research Letters, Elsevier, vol. 24(C), pages 230-237.
    10. Peng, Bin & Yu, Junqi & Zhu, Yi, 2021. "A heteroskedasticity robust test for cross-sectional correlation in a fixed effects panel data model," Economics Letters, Elsevier, vol. 201(C).
    11. Tavares, Fernando Flores & Betti, Gianni, 2021. "The pandemic of poverty, vulnerability, and COVID-19: Evidence from a fuzzy multidimensional analysis of deprivations in Brazil," World Development, Elsevier, vol. 139(C).
    12. Suich, Helen & Howe, Caroline & Mace, Georgina, 2015. "Ecosystem services and poverty alleviation: A review of the empirical links," Ecosystem Services, Elsevier, vol. 12(C), pages 137-147.
    13. Pan, Ying & Wu, Junxi & Zhang, Yanjie & Zhang, Xianzhou & Yu, Chengqun, 2021. "Simultaneous enhancement of ecosystem services and poverty reduction through adjustments to subsidy policies relating to grassland use in Tibet, China," Ecosystem Services, Elsevier, vol. 48(C).
    14. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7), pages 476-487.
    15. Majeed, Abdul & Wang, Lijun & Zhang, Xiaohui & Muniba, & Kirikkaleli, Dervis, 2021. "Modeling the dynamic links among natural resources, economic globalization, disaggregated energy consumption, and environmental quality: Fresh evidence from GCC economies," Resources Policy, Elsevier, vol. 73(C).
    16. Ouyang, Xiao & Tang, Lisha & Wei, Xiao & Li, Yonghui, 2021. "Spatial interaction between urbanization and ecosystem services in Chinese urban agglomerations," Land Use Policy, Elsevier, vol. 109(C).
    17. Seema Bathla & Pramod K. Joshi & Anjani Kumar, 2019. "Targeting Agricultural Investments and Input Subsidies in Low-Income Lagging Regions of India," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 31(5), pages 1197-1226, December.
    18. Haider, L. Jamila & Boonstra, Wiebren J. & Peterson, Garry D. & Schlüter, Maja, 2018. "Traps and Sustainable Development in Rural Areas: A Review," World Development, Elsevier, vol. 101(C), pages 311-321.
    19. Li, Man, 2010. "Decomposing the change of CO2 emissions in China: A distance function approach," Ecological Economics, Elsevier, vol. 70(1), pages 77-85, November.
    20. Koomson, Isaac & Danquah, Michael, 2021. "Financial inclusion and energy poverty: Empirical evidence from Ghana," Energy Economics, Elsevier, vol. 94(C).
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