Vol16 No.11: 2484-2501
【Title】Impact of land expropriation on farmers' livelihoods in the mountainous and hilly regions of Sichuan, China
【Author】GUO Shi-li1; LI Chun-jie2; WEI Ya-li3; ZHOU Kui1; LIU Shao-quan4*; XU Ding-de5*; LI Qian-yu1
【Addresses】1 China Western Economic Research Center, Southwestern University of Finance and Economics, Chengdu 610074, China; 2 College of Environmental Science and Tourism, Nanyang Normal University, Nanyang 473061, China; 3 College of Resources, Sihuan Agricultural University, Chengdu 611130, China; 4 Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China; 5 Sichuan Center for Rural Development Research, College of Management of Sichuan Agricultural University, Chengdu 611130, China
【Corresponding author】LIU Shao-quan; XU Ding-de
【Citation】Guo SL, Li CJ, Wei YL (2019) Impact of land expropriation on farmers' livelihoods in the mountainous and hilly regions of Sichuan, China. Journal of Mountain Science 16(11). https://doi.org/10.1007/s11629-018-5017-z
【Abstract】Research on the sustainable livelihoods of rural households is of great significance to mitigating rural poverty and reasonable land expropriation policy helps to realize better livelihoods and sustainable development.Scholars have conducted considerable research on the relationships between land expropriation and farmers' livelihoods. However, few quantitative studies have used the characteristics of villages as control variables to systematically analyze the impact of land expropriation on farmers' livelihood capital and strategy in the mountainous and hilly regions of China. This study uses the Partial Least Squares-Structural Equation Model (PLS- SEM) to systematically explain the impact of land expropriation on farmers' livelihoods in mountainous and hilly regions of Sichuan in 2013, with the characteristics of the village including income, accessibility and terrain as control variables. The analysis uses both representative sample data of 240 rural households and spatial data calculated using a 30 m Digital Elevation Model (DEM) by Geographic Information System (GIS). Results are as follows: (1) The land expropriation characteristicsare negatively affected by village accessibility. Villages with worse accessibility tend to have fewer land parcels and less land area expropriated. Additionally, land that is expropriated from inaccessible villages tends to receive less compensation. (2) Natural capital is negatively affected by number and area of land expropriation. Natural capital is not only directly affected by village accessibility, but also indirectly affected by village accessibility through the mediating effect of the number and area of land parcels expropriated. (3)Physical capital is positively affected by compensation for land expropriation, and negatively affected by village accessibility through compensation for land expropriation. The worse a village's accessibility/location is, the less compensation it will receive for land expropriation, resulting in lower physical capital.(4) Financial capital is negatively affected by village accessibility indirectly through compensation for land expropriation. The better the village'saccessibility is, the greateris its compensation for land expropriation and, hence, the greater is its financial capital.(5) Social capital is directly and negatively affected by the number and area of land parcels expropriated,and is indirectly and positively affected by village accessibility through the number and area of land parcels expropriated. This study enhances our understanding of the characteristics of land expropriation and rural households' livelihood as well as the impact of land expropriation on rural households' livelihood. These findings provide reference for the formulation of proper policies related to land expropriation and the improvement of rural households' livelihoods in the mountainous and hilly regions of China.
【Keywords】Sustainable livelihoods; Land expropriation; Partial least squares-structural equation model; Mediating effects; Mountainous regions