Unraveling the Causal Mechanisms for Non-Grain Production of Cultivated Land: An Analysis Framework Applied in Liyang, China

被引:24
|
作者
Cheng, Xianbo [1 ]
Tao, Yu [1 ,2 ]
Huang, Conghong [1 ,2 ]
Yi, Jialin [1 ]
Yi, Dan [1 ]
Wang, Fei [1 ]
Tao, Qin [1 ]
Xi, Henghui [1 ]
Ou, Weixin [1 ,2 ,3 ]
机构
[1] Nanjing Agr Univ, Coll Land Management, Nanjing 210095, Peoples R China
[2] Natl & Local Joint Engn Res Ctr Rural Land Resour, Nanjing 210095, Peoples R China
[3] China Resources, Environm & Dev Acad, Nanjing 210095, Peoples R China
基金
国家重点研发计划;
关键词
non-grain production; soil damage; grain security; multiple linear regression; neighborhood effect; categorical governance; FOOD SECURITY; CROP PRODUCTION; DETERMINANTS; ABANDONMENT; MANAGEMENT; IMPACT; WILLINGNESS; CONVERSION; EXPANSION; PROGRAM;
D O I
10.3390/land11111888
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The excessive use of cultivated land for non-grain production activities is considered a threat to grain security. This study presents an analysis framework on unraveling the causal mechanisms for non-grain production of cultivated land. We apply the analysis framework in Liyang, which is located in the Yangtze River Delta and is also an important "national grain base" county of China. We first determine four non-grain production categories as immediately recoverable (IMR), simple-engineering recoverable (SER), engineering recoverable (ENR), and irrecoverable (IR) based on the effect of non-grain activities on the degree of soil damage of the cultivated land, especially the difficulty of restoring the capacity for grain production. Then, we analyze the spatial pattern features for non-grain production of four given categories at the village scale. Furthermore, we reveal the mechanisms of the four categories using multiple linear regression modeling with geophysical, demographic, economic, and policy variables. The results show that the total non-grain area of cultivated land in Liyang is 28,158.38 hectares, and the non-grain rate is 48.09%, ranging from 10.59% to 96.75% among villages. The IMR, SER, ER, and IR rates are 11.81%, 17.76%, 15.07%, and 3.45%, respectively. There is also a significant neighborhood effect among the four categories, indicating that non-grain production activities have a stimulating effect on the surrounding operators of cultivated land. Farming conditions such as the proportion of irrigated farmland and economic variables such as the tourism scale have stronger effects on non-grain production than demographic variables. Policy variables, especially the cultivated land transfer policy, neither inhibit nor promote non-grain production. Based on these findings, we make policy suggestions for reducing non-grain production activities and protecting cultivated land. This analysis framework contributes to a new perspective for unraveling the causal mechanisms and making categorical governance decisions of non-grain production on cultivated land at the village level.
引用
收藏
页数:20
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