The Assessment of Green Poverty Reduction Strategies in Ecologically Fragile Areas: A Case Study of Southern Xinjiang in China

被引:1
作者
Chen, Hongmei [1 ,2 ]
Chao, Weipeng [1 ]
Xue, Zhen [1 ]
Wei, Hanlin [2 ]
Li, Qing [1 ]
机构
[1] Tarim Univ, Coll Econ & Management, Alaer 843300, Peoples R China
[2] China Agr Univ, Coll Econ & Management, Beijing 100083, Peoples R China
关键词
green poverty reduction; ecological poverty reduction; sustainable development; ecological fragility; comprehensive benefits; ECOSYSTEM SERVICES; RURAL POVERTY; ALLEVIATION;
D O I
10.3390/su16156441
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Green poverty reduction is a strategic choice for China to bring ecological benefits as well as economic and social benefits. This study examines three typical models of green poverty reduction strategies in Southern Xinjiang, which is an ecologically fragile region. The data for calculating the comprehensive benefits of the three models were derived from satellite remote sensing data, regional forestry bureau statistics, and survey data from 2021. The economic benefits are calculated to measure the net profit of a certain type of cover such as the supply of timber, forest products, and crops. The ecological benefits are calculated to measure the improvement in water resource regulation, soil conservation, carbon sequestration, windbreak and sand fixation, biodiversity conservation, and landscape recreation. The social benefits include providing employment opportunities and government subsidy. The comprehensive benefits are a weighted average over individual benefit categories. We found that the comprehensive benefits of the composite forest model, the drought-resistant crop model, and the industrial transformation model are CNY 288 million, CNY 50 million, and CNY 545 million, respectively. The composite forest model and the industrial transformation model have greater ecological benefits, while the drought-resistant crop model has greater economic benefits.
引用
收藏
页数:15
相关论文
共 45 条
  • [1] Adel AAM, 2015, INT FOOD RES J, V22, P1931
  • [2] The cost of poverty alleviation transfer programs:: A comparative analysis of three programs in Latin America
    Caldes, Natalia
    Coady, David
    Maluccio, John A.
    [J]. WORLD DEVELOPMENT, 2006, 34 (05) : 818 - 837
  • [3] How Do Ecosystem Services Affect Poverty Reduction Efficiency? A Panel Data Analysis of State Poverty Counties in China
    Cao, Peng
    Ouyang, Xiao
    Xu, Jun
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (03)
  • [4] Chen G., 2024, Mod. Anim. Husb. Vet. Sci, P87, DOI [10.20154/j.cnki.issn1672-9692.2024.04.018, DOI 10.20154/J.CNKI.ISSN1672-9692.2024.04.018]
  • [5] Chen L., 2020, Masters Thesis
  • [6] Dai X., 2012, Rural. Econ, P60
  • [7] The Green Revolution, development of labor markets, and poverty reduction in the rural Philippines, 1985-2004
    Estudillo, Jonna P.
    Sawada, Yasuyuki
    Otsuka, Keijiro
    [J]. AGRICULTURAL ECONOMICS, 2006, 35 (03) : 399 - 407
  • [8] Feng D., 2018, Contemp. Econ. Manag, V40, P8, DOI [10.13253/j.cnki.ddjjgl.2018.11.002, DOI 10.13253/J.CNKI.DDJJGL.2018.11.002]
  • [9] Feng D., 2021, Contemp. Econ. Manag, V43, P54, DOI [10.13253/j.cnki.ddjjgl.2021.01.008, DOI 10.13253/J.CNKI.DDJJGL.2021.01.008]
  • [10] Strengthening conceptual foundations: Analysing frameworks for ecosystem services and poverty alleviation research
    Fisher, Janet A.
    Patenaude, Genevieve
    Meir, Patrick
    Nightingale, Andrea J.
    Rounsevell, Mark D. A.
    Williams, Mathew
    Woodhouse, Iain H.
    [J]. GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS, 2013, 23 (05): : 1098 - 1111