Business School, University of Shanghai for Science and Technology, Shanghai 200093, China.
School of Urban and Regional Sciences, Shanghai University of Finance and Economics, Shanghai 200433, China.
Int J Environ Res Public Health. 2022 Sep 1;19(17):10899. doi: 10.3390/ijerph191710899.
The Transfer Payment Policy of National Key Ecological Functional Areas (TPEFAP), a well-known ecological compensation (eco-compensation) scheme in China, has been proposed by the government to alleviate ecological poverty and protect the environment. In literature, the effectiveness of the TPEFAP on environmental conservation has been widely examined, while few pay attention to the effect of the TPEFAP on poverty alleviation, especially with the consideration of its spatial spillovers as well. In this paper, we utilize panel data covering the key ecological functional areas of China during the period 2011-2018 to evaluate the impact of the TPEFAP on poverty alleviation and also its spatial spillovers by employing the synthetic control method (SCM) and the dynamic spatial Durbin model, respectively. Specifically, we apply the entropy weight method (EWM) to calculate the multidimensional poverty index (MPI) and measure pro-poor effect in terms of MPI change. The results show that: (1) TPEFAP has stable positive effects on MPI in Hubei, Yunnan, Jilin, Gansu, and Ningxia, while the impact on Qinghai fluctuates. (2) MPI presents a significant spatial correlation. Furthermore, both the direct and indirect effects of TPEFAP on MPI are significant and stable positive, for both short- or long-term. (3) For potential channels, rural non-farm employment, rural labor mobility, and agricultural productivity are the key pathways through which the TPEFAP can alleviate poverty both in local and adjacent provinces. However, it is difficult to find significant positive spatial spillovers for the TPEFAP if only the natural resources scale is considered. This study indicates that the government should pay attention to the policy expectations of ecological poverty alleviation and, in future eco-compensation, must further increase the coverage of subsidies and diversify the forms of subsidies.
国家重点生态功能区转移支付政策(TPEFAP)是中国政府为缓解生态贫困和保护环境而提出的一项著名的生态补偿(生态补偿)计划。在文献中,TPEFAP 对环境保护的有效性已被广泛研究,而很少有人关注 TPEFAP 对扶贫的影响,特别是考虑到其空间溢出效应。本文利用涵盖中国重点生态功能区的面板数据,在 2011-2018 年期间,采用合成控制法(SCM)和动态空间杜宾模型,分别评估 TPEFAP 对扶贫的影响及其空间溢出效应。具体而言,我们采用熵权法(EWM)计算多维贫困指数(MPI),并根据 MPI 变化衡量扶贫效果。结果表明:(1)TPEFAP 对湖北、云南、吉林、甘肃和宁夏的 MPI 有稳定的积极影响,而对青海的影响则波动较大。(2)MPI 呈现出显著的空间相关性。此外,TPEFAP 对 MPI 的直接和间接影响均具有显著的稳定正效应,无论是短期还是长期。(3)对于潜在渠道,农村非农就业、农村劳动力流动和农业生产力是 TPEFAP 在当地和相邻省份缓解贫困的关键途径。然而,如果只考虑自然资源规模,就很难发现 TPEFAP 对扶贫的显著正空间溢出效应。本研究表明,政府应关注生态扶贫的政策预期,在未来的生态补偿中,必须进一步扩大补贴覆盖范围,丰富补贴形式。