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Analysis of Multi-Scale Changes in Arable Land and Scale Effects of the Driving Factors in the Loess Areas in Northern Shaanxi, China

Author

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  • Lina Zhong

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resources and Technology, Beijing Normal University, Beijing 100875, China)

  • Wenwu Zhao

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resources and Technology, Beijing Normal University, Beijing 100875, China)

  • Zhengfeng Zhang

    (School of Public Administration, Renmin University of China, Beijing 100872, China)

  • Xuening Fang

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resources and Technology, Beijing Normal University, Beijing 100875, China)

Abstract

In this study, statistical data on the national economic and social development, including the year-end actual area of arable land, the crop yield per unit area and 10 factors, were obtained for the period between 1980 and 2010 and used to analyze the factors driving changes in the arable land of the Loess Plateau in northern Shaanxi, China. The following areas of arable land, which represent different spatial scales, were investigated: the Baota District, the city of Yan’an, and the Northern Shaanxi region. The scale effects of the factors driving the changes to the arable land were analyzed using a canonical correlation analysis and a principal component analysis. Because it was difficult to quantify the impact of the national government policies on the arable land changes, the contributions of the national government policies to the changes in arable land were analyzed qualitatively. The primary conclusions of the study were as follows: between 1980 and 2010, the arable land area decreased. The trends of the year-end actual arable land proportion of the total area in the northern Shaanxi region and Yan’an City were broadly consistent, whereas the proportion in the Baota District had no obvious similarity with the northern Shaanxi region and Yan’an City. Remarkably different factors were shown to influence the changes in the arable land at different scales. Environmental factors exerted a greater effect for smaller scale arable land areas (the Baota District). The effect of socio-economic development was a major driving factor for the changes in the arable land area at the city and regional scales. At smaller scales, population change, urbanization and socio-economic development affected the crop yield per unit area either directly or indirectly. Socio-economic development and the modernization of agricultural technology had a greater effect on the crop yield per unit area at the large-scales. Furthermore, the qualitative analysis indicated that government policies had a more significant impact on the large-scale arable land areas.

Suggested Citation

  • Lina Zhong & Wenwu Zhao & Zhengfeng Zhang & Xuening Fang, 2014. "Analysis of Multi-Scale Changes in Arable Land and Scale Effects of the Driving Factors in the Loess Areas in Northern Shaanxi, China," Sustainability, MDPI, vol. 6(4), pages 1-14, April.
    • Handle: RePEc:gam:jsusta:v:6:y:2014:i:4:p:1747-1760:d:34712
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    References listed on IDEAS

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    1. Wang, Xiuhong & Shen, Jianxiu & Zhang, Wei, 2014. "Emergy evaluation of agricultural sustainability of Northwest China before and after the grain-for-green policy," Energy Policy, Elsevier, vol. 67(C), pages 508-516.
    2. Prishchepov, Alexander V. & Radeloff, Volker C. & Müller, Daniel & Dubinin, Maxim & Baumann, Matthias, 2011. "Determinants of agricultural land abandonment in post-soviet European Russia," IAMO Forum 2011: Will the "BRICs Decade" Continue? – Prospects for Trade and Growth 1, Leibniz Institute of Agricultural Development in Central and Eastern Europe (IAMO).
    3. Henry Kaiser, 1974. "An index of factorial simplicity," Psychometrika, Springer;The Psychometric Society, vol. 39(1), pages 31-36, March.
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    1. Xusen Zhu & Chaofu Wei & Fengtai Zhang & Junyi Zhang & Yuedong Xiao & Xingyu Yang, 2022. "Influencing Factors of Farmers’ Land Circulation in Mountainous Chongqing in China Based on A Multi-Class Logistic Model," Sustainability, MDPI, vol. 14(12), pages 1-16, June.

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