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

被引:19
|
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
相关论文
共 50 条
  • [41] Assessing the environmental impact of agricultural production structure transformation - Evidence from the non-grain production of cropland in China
    Li, Qiao
    Chen, Wei
    Shi, Haimeng
    Zhang, Sun
    ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 2024, 106
  • [42] How do agricultural subsidies affect farmers’ non-grain cultivated land production? Evidence from the fourth rural Chinese households panel data survey
    Shilei Pan
    Chenhui Di
    Zhiguang Qu
    Abbas Ali Chandio
    Abdul Rehman
    Huaquan Zhang
    Economia Politica, 2024, 41 : 1 - 24
  • [43] Cropland compensation in mountainous areas in China aggravates non-grain production: evidence from Fujian Province
    Xie, Zhen
    Zhang, Qianqian
    Jiang, Chun
    Yao, Ruobin
    LAND USE POLICY, 2024, 138
  • [44] Analysis of Characteristics and Driving Mechanisms of Non-Grain Production of Cropland in Mountainous Areas at the Plot Scale-A Case Study of Lechang City
    Wu, Zhaojun
    Li, Shengfa
    Wu, Dafang
    Song, Jun
    Lin, Tong
    Gao, Ziya
    FOODS, 2024, 13 (10)
  • [45] Calculation of county cultivated land productivity and its analysis of influential factors of grain main production area in Northeast China
    Song, Ge
    Zhou, Chaohui
    Wang, Yue
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2014, 30 (24): : 308 - 317
  • [46] Spatiotemporal Dynamics of Cultivated Land and Its Influences on Grain Production Potential in Hunan Province, China
    Yu, De
    Hu, Shougeng
    Tong, Luyi
    Xia, Cong
    LAND, 2020, 9 (12) : 1 - 22
  • [47] Impacts of Cultivated Land Reclamation on the Climate and Grain Production in Northeast China in the Future 30 Years
    Shi, Qingling
    Lin, Yingzhi
    Zhang, Enpei
    Yan, Haiming
    Zhan, Jinyan
    ADVANCES IN METEOROLOGY, 2013, 2013
  • [48] Increased grain production of cultivated land by closing the existing cropping intensity gap in Southern China
    Jiang, Li
    Chen, Xin
    Meng, Lijun
    Zhang, Guoliang
    Pan, Zhihua
    An, Pingli
    FOOD SECURITY, 2021, 13 (02) : 385 - 398
  • [49] Increased grain production of cultivated land by closing the existing cropping intensity gap in Southern China
    Li Jiang
    Xin Chen
    Lijun Meng
    Guoliang Zhang
    Zhihua Pan
    Pingli An
    Food Security, 2021, 13 : 385 - 398
  • [50] A Study on the Spatial-Temporal Evolution and Driving Factors of Non-Grain Production in China's Major Grain-Producing Provinces
    Ran, Duan
    Zhang, Zhanlu
    Jing, Yuhan
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (24)