Does household composition matter? The impact of the Grain for Green Program on rural livelihoods in China

被引:74
|
作者
Liang, Yicheng [1 ,2 ]
Li, Shuzhuo [2 ]
Feldman, Marcus W.
Daily, Gretchen C. [1 ]
机构
[1] Stanford Univ, Dept Biol, Ctr Conservat Biol, Stanford, CA 94305 USA
[2] Xi An Jiao Tong Univ, Inst Populat & Dev Studies, Sch Publ Policy & Adm, Xian 710049, Shaanxi Provinc, Peoples R China
基金
中国国家自然科学基金;
关键词
Payment-for-ecosystem-service; Family structure; Sustainable livelihood; Wage-labor supply; LAND CONVERSION PROGRAM; LABOR; ENVIRONMENT; PARTICIPATION; CONSTRAINTS; PAYMENTS; BUSINESS; SERVICES; POVERTY; POLICY;
D O I
10.1016/j.ecolecon.2012.01.019
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
This research introduces family composition into the sustainable livelihoods framework for policy analysis. We apply this approach to a case study on the Grain for Green Program in western China. Using recent survey data from Zhouzhi County, we show that the impact of the policy on rural livelihoods varies across household compositions. The environmental program neither targets asset-poor households, nor does it necessarily shift the on-farm labor to non-farm sectors, which would improve household incomes (after controlling for the effect of assets). Households with children but without the elderly tend to have lower migration rates and lower incomes after participation in the program. Policy strategies should consider household heterogeneity, particularly household composition in rural China. (C) 2012 Elsevier BM. All rights reserved.
引用
收藏
页码:152 / 160
页数:9
相关论文
共 50 条
  • [21] Rural-to-Urban Labor Migration, Household Livelihoods, and the Rural Environment in Chongqing Municipality, Southwest China
    Qin, Hua
    [J]. HUMAN ECOLOGY, 2010, 38 (05) : 675 - 690
  • [22] Rural households' willingness to participate in the Grain for Green program again: A case study of Zhungeer, China
    Guo, Huanhuan
    Li, Bo
    Hou, Ying
    Lu, Shubing
    Nan, Bo
    [J]. FOREST POLICY AND ECONOMICS, 2014, 44 : 42 - 49
  • [23] Divergent impacts of the grain to green program, landholdings, and demographic factors on livelihood diversification in rural China
    Giefer, Madeline M.
    An, Li
    [J]. WORLD DEVELOPMENT, 2022, 156
  • [24] The contribution of bamboo to household income and rural livelihoods in a poor and mountainous county in Guangxi, China
    Hogarth, N. J.
    Belcher, B.
    [J]. INTERNATIONAL FORESTRY REVIEW, 2013, 15 (01) : 71 - 81
  • [25] Sustainability and Risks of Rural Household Livelihoods in Ethnic Tourist Villages: Evidence from China
    Liu, Yaping
    Shi, Huike
    Su, Zhen
    Kumail, Tafazal
    [J]. SUSTAINABILITY, 2022, 14 (09)
  • [26] How does the green development program promote rural economy: energy and environmental effects in rural development of China
    Xia Jiang
    Tingting Tan
    Bing Yuan
    Chaoqun Wang
    Yanhong Zhang
    [J]. Economic Change and Restructuring, 2024, 57
  • [27] How does the green development program promote rural economy: energy and environmental effects in rural development of China
    Jiang, Xia
    Tan, Tingting
    Yuan, Bing
    Wang, Chaoqun
    Zhang, Yanhong
    [J]. ECONOMIC CHANGE AND RESTRUCTURING, 2024, 57 (02)
  • [28] Does Free Compulsory Education Matter for the Green Transformation of Agriculture? Evidence from Rural China
    Zhou, Junxu
    Chang, Yajun
    Peng, Rong
    Liu, Zijun
    Luo, Hang
    Ji, Min
    [J]. AGRICULTURE-BASEL, 2024, 14 (05):
  • [29] Participants' livelihoods compatible with conservation programs: evidence from China's grain-for-green program in northern Shaanxi Province
    Dang, Xiaohu
    Zhang, Miao
    Xia, Zidun
    Fan, Liangxin
    Liu, Guobin
    Zhao, Gaochang
    Tao, Rui
    Wei, Xuexiao
    [J]. GEOJOURNAL, 2021, 86 (04) : 1639 - 1655
  • [30] Participants’ livelihoods compatible with conservation programs: evidence from China’s grain-for-green program in northern Shaanxi Province
    Xiaohu Dang
    Miao Zhang
    Zidun Xia
    Liangxin Fan
    Guobin Liu
    Gaochang Zhao
    Rui Tao
    Xuexiao Wei
    [J]. GeoJournal, 2021, 86 : 1639 - 1655