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Multidimensional poverty alleviation effect of different rural land consolidation models: A case study of Hubei and Guizhou, China

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  • Wang, Ziyang
  • Wang, Wenxiong
  • Yu, Lihong
  • Zhang, Dongli

Abstract

Eradicating all forms of poverty is the goal of sustainable development in the world, and the problem of returning to poverty has received widespread attention from international organizations and various countries around the world. Rural land consolidation (RLC) has achieved sustainable land use by combining with land system reform and policy innovation, thus RLC has become an important means to consolidate the achievements of poverty eradication in China. Under the sustainable livelihood approach, this study reveals the pathways to alleviate multidimensional relative poverty of different RLC models. Based on questionnaire data of rural households from poor areas of Guizhou and Hubei provinces in China, this study constructs a multidimensional poverty indices (MPI), including five dimensions of relative poverty measurement indicators (income, education, livelihood, housing, and employment) and the corresponding critical values, and measures the multidimensional relative poverty status of rural households as well as the change before and after RLC. In addition, the effects of multidimensional poverty reduction of different RLC models on poor households were investigated by the quasi-experimental PSM-DID method. The results show that different RLC models exhibit different poverty reduction effects. A comprehensive analysis of the multidimensional relative poverty indices demonstrates that public-private partnership (PPP) model of RLC can significantly alleviate poverty status of rural household, whereas the government-led model has no significant multidimensional poverty reduction effects. The investigation of each of five dimensions reveals that the PPP model has a significant poverty reduction effect on all the five dimensions (income, education, livelihood, housing, and employment), but the government-led model has a significant poverty reduction effect only on income dimension. Accordingly, this study proposes related policy recommendations, which provides Chinese experience for other developing countries to formulate RLC poverty alleviation strategies.

Suggested Citation

  • Wang, Ziyang & Wang, Wenxiong & Yu, Lihong & Zhang, Dongli, 2022. "Multidimensional poverty alleviation effect of different rural land consolidation models: A case study of Hubei and Guizhou, China," Land Use Policy, Elsevier, vol. 123(C).
  • Handle: RePEc:eee:lauspo:v:123:y:2022:i:c:s0264837722004264
    DOI: 10.1016/j.landusepol.2022.106399
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    as
    1. Zhang, Xiaobin & Ye, Yanmei & Wang, Mengran & Yu, Zhenning & Luo, Jiaojiao, 2018. "The micro administrative mechanism of land reallocation in land consolidation: A perspective from collective action," Land Use Policy, Elsevier, vol. 70(C), pages 547-558.
    2. Espinoza-Delgado, José & Klasen, Stephan, 2018. "Gender and multidimensional poverty in Nicaragua: An individual based approach," World Development, Elsevier, vol. 110(C), pages 466-491.
    3. Wang, Yongsheng & Li, Yuheng, 2019. "Promotion of degraded land consolidation to rural poverty alleviation in the agro-pastoral transition zone of northern China," Land Use Policy, Elsevier, vol. 88(C).
    4. Del Prete, Davide & Ghins, Léopold & Magrini, Emiliano & Pauw, Karl, 2019. "Land consolidation, specialization and household diets: Evidence from Rwanda," Food Policy, Elsevier, vol. 83(C), pages 139-149.
    5. Zhang, Dongli & Wang, Wenxiong & Zhou, Wei & Zhang, Xiaoling & Zuo, Jian, 2020. "The effect on poverty alleviation and income increase of rural land consolidation in different models: A China study," Land Use Policy, Elsevier, vol. 99(C).
    6. Guo, Yuanzhi & Liu, Yansui, 2021. "Poverty alleviation through land assetization and its implications for rural revitalization in China," Land Use Policy, Elsevier, vol. 105(C).
    7. Barbara Sianesi, 2004. "An Evaluation of the Swedish System of Active Labor Market Programs in the 1990s," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 133-155, February.
    8. Mutonyi, Sarah, 2019. "The effect of collective action on smallholder income and asset holdings in Kenya," World Development Perspectives, Elsevier, vol. 14(C), pages 1-1.
    9. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    10. Glauben, Thomas & Herzfeld, Thomas & Rozelle, Scott & Wang, Xiaobing, 2012. "Persistent Poverty in Rural China: Where, Why, and How to Escape?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 40(4), pages 784-795.
    11. Susan Athey & Guido W. Imbens, 2006. "Identification and Inference in Nonlinear Difference-in-Differences Models," Econometrica, Econometric Society, vol. 74(2), pages 431-497, March.
    12. Zhou, Yang & Guo, Liying & Liu, Yansui, 2019. "Land consolidation boosting poverty alleviation in China: Theory and practice," Land Use Policy, Elsevier, vol. 82(C), pages 339-348.
    13. Alkire, Sabina & Foster, James & Seth, Suman & Santos, Maria Emma & Roche, Jose Manuel & Ballon, Paola, 2015. "Multidimensional Poverty Measurement and Analysis," OUP Catalogue, Oxford University Press, number 9780199689491, Decembrie.
    14. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7), pages 476-487.
    15. Fentie, Amare & Beyene, Abebe D., 2019. "Climate-smart agricultural practices and welfare of rural smallholders in Ethiopia: Does planting method matter?," Land Use Policy, Elsevier, vol. 85(C), pages 387-396.
    16. Zhang, Jian & Mishra, Ashok K. & Zhu, Peixin & Li, Xiaoshun, 2020. "Land rental market and agricultural labor productivity in rural China: A mediation analysis," World Development, Elsevier, vol. 135(C).
    17. Jin, Gui & Guo, Baishu & Deng, Xiangzheng, 2020. "Is there a decoupling relationship between CO2 emission reduction and poverty alleviation in China?," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    18. Cazzuffi, Chiara & Pereira-López, Mariana & Soloaga, Isidro, 2017. "Local poverty reduction in Chile and Mexico: The role of food manufacturing growth," Food Policy, Elsevier, vol. 68(C), pages 160-185.
    19. Sabina Alkire & Yingfeng Fang, 2019. "Dynamics of Multidimensional Poverty and Uni-dimensional Income Poverty: An Evidence of Stability Analysis from China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(1), pages 25-64, February.
    20. Wang, Wenxiong & Lan, Yuanqin & Wang, Xu, 2021. "Impact of livelihood capital endowment on poverty alleviation of households under rural land consolidation," Land Use Policy, Elsevier, vol. 109(C).
    21. Sabina Alkire, James E. Foster, Suman Seth, Maria Emma Santos, José M. Roche and Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 5 - The Alkire-Foster Counting Methodology," OPHI Working Papers ophiwp086_ch5.pdf, Queen Elizabeth House, University of Oxford.
    22. Zhang, Bangbang & Niu, Wenhao & Ma, Linyan & Zuo, Xuyang & Kong, Xiangbin & Chen, Haibin & Zhang, Yifan & Chen, Wei & Zhao, Minjuan & Xia, Xianli, 2019. "A company-dominated pattern of land consolidation to solve land fragmentation problem and its effectiveness evaluation: A case study in a hilly region of Guangxi Autonomous Region, Southwest China," Land Use Policy, Elsevier, vol. 88(C).
    23. Tongwei, Qiu & Luo, Biliang & Boris Choy, S.T. & Li, Yifei & He, Qinying, 2020. "Do land renting-in and its marketization increase labor input in agriculture? Evidence from rural China," Land Use Policy, Elsevier, vol. 99(C).
    24. Sabina Alkire & James E. Foster & Suman Seth & Maria Emma Santos & Jose M. Roche & Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 5 - The Alkire-Foster Counting Methodology," OPHI Working Papers 86, Queen Elizabeth House, University of Oxford.
    25. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    26. Hu, Xinyan & Su, Keyu & Chen, Wenhui & Yao, Siqi & Zhang, Lu, 2021. "Examining the impact of land consolidation titling policy on farmers’ fertiliser use: Evidence from a quasi-natural experiment in China," Land Use Policy, Elsevier, vol. 109(C).
    27. Wu, Ziping & Liu, Minquan & Davis, John, 2005. "Land consolidation and productivity in Chinese household crop production," China Economic Review, Elsevier, vol. 16(1), pages 28-49.
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