Neighborhood impacts on household participation in payments for ecosystem services programs in a Chinese nature reserve: A methodological exploration |
| |
| Authors: | Zhang Huijie An Li Bilsborrow Richard Chun Yongwan Yang Shuang Dai Jie |
| |
| Institution: | 1. Department of Geography, San Diego State University, San Diego, CA, USA2. Department of Geography, University of California, Santa Barbara, CA, USA3. Center for Complex Human-Environment Systems, San Diego State University, San Diego, CA, USA4. Departments of Biostatistics and Geography and Carolina Population Center, University of North Carolina at Chapel Hill, USA5. School of Economic, Political and Policy Sciences, University of Texas at Dallas, Richardson, TX, USA |
| |
| Abstract: | Payments for Ecosystem Services(PES)programs have been implemented in both developing and developed countries to conserve ecosystems and the vital services they provide.These programs also often seek to maintain or improve the economic wellbeing of the populations living in the corresponding(usually rural)areas.Previous studies suggest that PES policy design,presence or absence of concurrent PES programs,and a variety of socioeconomic and demographic factors can influence decisions of households to participate or not in the PES program.However,neighborhood impacts on household participation in PES have rarely been addressed.This study explores potential neighborhood effects on villagers'enrollment in the Grain-to-Green Program(GTGP),one of the largest PES pro-grams in the world,using data from China's Fanjingshan National Nature Reserve.We utilize a fixed effects logistic regression model in combination with the eigenvector spatial filtering(ESF)method to explore whether neighborhood size affects household enrollment in GTGP.By comparing the results with and without ESF,we find that the ESF method can help ac-count for spatial autocorrelation properly and reveal neighborhood impacts that are otherwise hidden,including the effects of area of forest enrolled in a concurrent PES program,gender and household size.The method can thus uncover mechanisms previously undetected due to not taking into account neighborhood impacts and thus provides an additional way to account for neighborhood impacts in PES programs and other studies. |
| |
| Keywords: | neighborhood impacts payments for ecosystem services Grain-to-Green Program eigenvector spatial filtering fixed effects logistic regression model China |
| 本文献已被 CNKI 万方数据 SpringerLink 等数据库收录！ |
| 点击此处可从《地理学报(英文版)》浏览原始摘要信息 |
| 点击此处可从《地理学报(英文版)》下载免费的PDF全文 |
|
