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Cultivated Land Changes and Agricultural Potential Productivity in Mainland China

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  • Linlin Xiao

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A Datun Rd., Beijing 100101, China
    University of Chinese Academy of Sciences, 19A Yuquan Rd., Beijing 100049, China)

  • Xiaohuan Yang

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A Datun Rd., Beijing 100101, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, No.1 Wenyuan Rd., Nanjing 210023, China)

  • Hongyan Cai

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A Datun Rd., Beijing 100101, China)

  • Dingxiang Zhang

    (Chinese Land Surveying and Planning Institute, No. 37 West district of Guanyingyuan, Beijing 100035, China)

Abstract

With rapid and continuous population growth and the associated declining quality of cultivated land, food security in China has been attracting the attention of scholars both domestically and internationally. In recent decades, the implications of the cultivated land balance policy have promoted spatial changes of cultivated land. Estimating the agricultural potential productivity and assessing its response to cultivated land changes could provide a scientific basis for strategic decision-making concerning grain production and thus guarantee food security. In the present study, the Agro-Ecological Zone (AEZ) model was applied to estimate the agricultural potential productivity. Data from the second national land survey were first applied to characterize the changes of cultivated land (by comparing the cultivated land in 2009 with that in 2012) and their influence on potential productivity in Mainland China. We propose a utilization degree of total potential productivity (UTP) and its ratio coefficient (RUTP) to reveal the utilization status of potential productivity and its change characteristics at the provincial level. It was found that there was a trend for cultivated land to be shifted away from cities, and the average productive capability per hectare of cultivated land declined from 7386.5 kg/ha to 6955.2 kg/ha by occupying highly productive cultivated land generally near the cities and compensating less productive cultivated land in remote areas. UTPs and RUTPs indicate a significant difference in the utilization status of potential productivity among the 31 provinces of Mainland China. Grain production with the aim of sustainable development should be strategized according to the particular facts of each province. The methods we applied can mine the impacts of cultivated land changes on potential productivity and the utilization of potential productivity effectively.

Suggested Citation

  • Linlin Xiao & Xiaohuan Yang & Hongyan Cai & Dingxiang Zhang, 2015. "Cultivated Land Changes and Agricultural Potential Productivity in Mainland China," Sustainability, MDPI, vol. 7(9), pages 1-16, August.
    • Handle: RePEc:gam:jsusta:v:7:y:2015:i:9:p:11893-11908:d:54868
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    1. Shan Xu, 2018. "Temporal and Spatial Characteristics of the Change of Cultivated Land Resources in the Black Soil Region of Heilongjiang Province (China)," Sustainability, MDPI, vol. 11(1), pages 1-12, December.
    2. Rui Zhao & Kening Wu & Xiaoliang Li & Nan Gao & Mingming Yu, 2021. "Discussion on the Unified Survey and Evaluation of Cultivated Land Quality at County Scale for China’s 3rd National Land Survey: A Case Study of Wen County, Henan Province," Sustainability, MDPI, vol. 13(5), pages 1-26, February.
    3. Mingbang Zhu & Shanshan Liu & Ziqing Xia & Guangxing Wang & Yueming Hu & Zhenhua Liu, 2020. "Crop Growth Stage GPP-Driven Spectral Model for Evaluation of Cultivated Land Quality Using GA-BPNN," Agriculture, MDPI, vol. 10(8), pages 1-16, August.
    4. Kuang, Bing & Lu, Xinhai & Zhou, Min & Chen, Danling, 2020. "Provincial cultivated land use efficiency in China: Empirical analysis based on the SBM-DEA model with carbon emissions considered," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    5. Gong, Yuling & Li, Jintao & Li, Yixue, 2020. "Spatiotemporal characteristics and driving mechanisms of arable land in the Beijing-Tianjin-Hebei region during 1990-2015," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    6. Fengqiang Wu & Caijian Mo & Xiaojun Dai & Hongmei Li, 2022. "Spatial Analysis of Cultivated Land Productivity, Site Condition and Cultivated Land Health at County Scale," IJERPH, MDPI, vol. 19(19), pages 1-20, September.
    7. Jiani Ma & Chao Zhang & Wenju Yun & Yahui Lv & Wanling Chen & Dehai Zhu, 2020. "The Temporal Analysis of Regional Cultivated Land Productivity with GPP Based on 2000–2018 MODIS Data," Sustainability, MDPI, vol. 12(1), pages 1-16, January.
    8. Tianxiang Li & Tomas Baležentis & Lijuan Cao & Jing Zhu & Irena Kriščiukaitienė & Rasa Melnikienė, 2016. "Are the Changes in China’s Grain Production Sustainable: Extensive and Intensive Development by the LMDI Approach," Sustainability, MDPI, vol. 8(12), pages 1-24, November.
    9. Chong Zhao & Yong Zhou & Xigui Li & Pengnan Xiao & Jinhui Jiang, 2018. "Assessment of Cultivated Land Productivity and Its Spatial Differentiation in Dongting Lake Region: A Case Study of Yuanjiang City, Hunan Province," Sustainability, MDPI, vol. 10(10), pages 1-15, October.
    10. Linlin Xiao & Xiaohuan Yang & Hongyan Cai, 2017. "The Indirect Roles of Roads in Soil Erosion Evolution in Jiangxi Province, China: A Large Scale Perspective," Sustainability, MDPI, vol. 9(1), pages 1-13, January.
    11. Lin Lin & Ziran Ye & Muye Gan & Amir Reza Shahtahmassebi & Melanie Weston & Jinsong Deng & Shenggao Lu & Ke Wang, 2017. "Quality Perspective on the Dynamic Balance of Cultivated Land in Wenzhou, China," Sustainability, MDPI, vol. 9(1), pages 1-17, January.

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