Spatial pattern, causal mechanisms and governance strategies of cultivated land abandonment in rapidly urbanizing areas

被引:0
|
作者
Cheng X. [1 ]
Gao G. [1 ]
Liu Q. [1 ,2 ]
Tao Y. [1 ,2 ]
Huang C. [1 ,2 ]
Ou W. [1 ,2 ,3 ]
机构
[1] College of Public Administration (College of Land Management), Nanjing Agricultural University, Nanjing
[2] National & Local Joint Engineering Research Center for Rural Land Resources Use and Consolidation, Nanjing
[3] China Resources, Environment and Development Academy, Nanjing
关键词
causal mechanism; governance of the abandoned cultivated land; kernel density estimation; multiple linear regression model; rapidly urbanizing areas; spatial pattern;
D O I
10.11975/j.issn.1002-6819.2022.24.024
中图分类号
学科分类号
摘要
Cultivated land can be one of the most important natural resources for national food security in recent years. The idle or barren cultivated land has normally occurred as an economic resource in rapidly urbanizing areas in China. It is of great significance to reveal the spatial pattern characteristics and causal mechanisms of cultivated land abandonment. The new pattern of development can be evolved under the process of urbanization and industrialization. Generally, the village is assumed as the smallest spatial unit in social management in China, when integrating the government agencies, economic markets, village collectives, individuals, and cultivated land. The multi-dimensional complex interaction has also posed a great challenge to the abandonment degree of cultivated land in villages. However, only a little attentions was paid to the abandonment of cultivated land so far. Therefore, it is urgent to grasp the spatial pattern characteristics and causal mechanisms of abandoned cultivated land in rapidly urbanizing areas. Taking Liyang County, Jiangsu Province of China as the research area, this study aims to construct a theoretical framework for the spatial pattern characteristics of abandoned cultivated land. The causal mechanisms were then clarified to reduce the cultivated land abandonment in rapid urbanization areas. The comprehensive abandoned rate of cultivated land was set as the abandoned cultivated land area to the total area. The spatial autocorrelation analysis was used to determine the aggregation effect of abandoned farmland. The kernel density analysis was then used to analyze the spatial characteristics of the agglomeration. Multiple linear regression was utilized to quantitatively reveal the causal mechanisms between abandonment degree and independent variables. The results showed that: 1) The abandoned area of cultivated land was 1 344.48 hm2, including 762.77 and 581.71 hm2 of irrigated and non-irrigated farmland, respectively. The comprehensive abandonment rate was 3.03% in 2019, where each village ranged from 0.01%-54.26%. The widespread abandonment of cultivated land was observed in rapidly urbanizing areas. 2) There was a significant positive spatial correlation with the abandonment of cultivated land. The global Moran index was 0.253. The high-density abandoned area of cultivated land was concentrated mainly in the areas with the high development level industry of commerce and tourism, and a high proportion of non-irrigated land. Cultivated land abandonment also presented a certain agglomeration and driving effect in space. 3) The abandonment degree of cultivated land depended on the resource conditions, economic level, social development, and policy regulation. Specifically, the abandonment of cultivated land was attributed to the loss of labor productivity and the high level of rural non-agricultural economy. By contrast, the cultivated land abandonment was effectively restrained via the high-quality resource of cultivated land, and the favorable policy of land transfer, and prime farmland. Two management strategies were also formulated: one is continue to promote the land improvement projects for the development mode of "tourism+ agriculture", in order to attract the more agricultural capital and enterprises to the village. Another is to actively promote the transfer of cultivated land in the rural areas, particularly with the high level of non-agricultural economic development and serious labor loss. As such, the prime farmland policy can be expected to implement with less abandonment of cultivated land. The finding can provide theoretical support and case reference for small-scale farmland protection and abandoned land management in rapid urbanization areas. © 2022 Chinese Society of Agricultural Engineering. All rights reserved.
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页码:218 / 227
页数:9
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  • [1] 5, pp. 85-92
  • [2] Price B, Kienast F, Seidl I, Et al., Future landscapes of Switzer land: Risk areas for urbanization and land abandonment, Applied Geography, 57, pp. 32-41, (2015)
  • [3] Zhang Tianzhu, Zhang Fengrong, Huang Jingwen, Et al., Spatial pattern evolution of abandoned arable land and its influencing factor in industrialized region, Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 35, 15, pp. 346-255, (2019)
  • [4] Handley K, Limao N., Policy uncertainty, trade and welfare: Theory and evidence for China and the US, American Economic Review, 104, 12, pp. 2731-2783, (2017)
  • [5] Li Xue, Lv Xinye, Judgment of China’s food security situation at the present stage: pay equal attention to quantity and quality, Issues in Agricultural Economy, 11, pp. 31-44, (2021)
  • [6] Alcantara C, Kuemmerle T, Baumann M, Et al., Mapping the extent of abandoned farmland in Central and Eastern Europe using MODIS time series satellite data[J], Environmental Research Letters, 8, 3, pp. 1345-1346, (2013)
  • [7] Stephan E, Tobias K, Camilo A, Et al., Mapping farmland abandonment and recultivation across Europe using MODIS NDVI time series[J], Remote Sensing of Environment, 163, pp. 312-325, (2015)
  • [8] Hu Xia, Zhou Xuhai, The realistic predicament and policy design of Japan’s farmland abandonment prevention and control, Asia-pacific Economic Review, 1, pp. 59-69, (2022)
  • [9] Xiang Xiaoye, Wang Youhan, Li Qian, Et al., Research progress and review of abandoned land based on CiteSpace, Scientia Geographica Sinica, 42, 4, pp. 670-681, (2022)
  • [10] Chen Hang, Tan Yongzhong, Deng Xinyu, Et al., Progress and prospects on information acquisition methods of abandoned farmland, Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 36, 23, pp. 258-268, (2020)