IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v10y2021i9p901-d622985.html
   My bibliography  Save this article

Analysis of the Spatial Variations of Determinants of Gully Agricultural Production Transformation in the Chinese Loess Plateau and Its Policy Implications

Author

Listed:
  • Lulu Qu

    (School of Public Affairs, Chongqing University, Chongqing 400044, China)

  • Yurui Li

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Yunxin Huang

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Xuanchang Zhang

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Jilai Liu

    (School of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China)

Abstract

Exploring the gully agricultural production transformation and its influencing factors is of considerable significance to the evolution of the human–land relationship and multifunctional transformation of gully agriculture in the context of new development. This paper tries to reveal intensive land use under the background of population contraction in the Chinese Loess Plateau and its transformation trend by defining the gully agricultural production transformation (GAPT). Given the representativeness of land-use change in the loess hilly and gully region (LHGR) was taken as a case study, and ArcGIS spatial analysis techniques and geographically and temporally weighted regression model (GTWR) were used to detect the spatio-temporal differentiation pattern and influencing factors. The results show that: (1) GAPT shifts from the high elevation area of 1000–1300 m to the low elevation area of <1000 m, and the transformation process remains within the range of slope 0–20° and topographic relief between 40 m and 180 m. (2) GTWR coupled with time non-stationary and spatial heterogeneity has a better fitting effect, which verifies its applicability in the study of GAPT. Social and economic factors were the main driving forces of GAPT in Yan’an City in the past 20 years, and they were increasing year by year. (3) The spatial-temporal distribution of the driving factors of the agricultural production transformation in Yan’an City is different. The intensity of the population factor and the slope factor is always in the dominant position, and the high value distribution area of the land average GDP factor forms a funnel-shaped pattern of “core edge” in the north and the central and western regions, and its changes tend to “flow” to the core. (4) The gully agricultural production transformation can reflect the general law of rural land use transition in gully areas, and thereby provide policy ideas for gully development. Overall, this study’s content can provide scientific guidance for the sustainable development of gully agriculture and the revitalization of watershed and land consolidation in gully areas.

Suggested Citation

  • Lulu Qu & Yurui Li & Yunxin Huang & Xuanchang Zhang & Jilai Liu, 2021. "Analysis of the Spatial Variations of Determinants of Gully Agricultural Production Transformation in the Chinese Loess Plateau and Its Policy Implications," Land, MDPI, vol. 10(9), pages 1-21, August.
  • Handle: RePEc:gam:jlands:v:10:y:2021:i:9:p:901-:d:622985
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/10/9/901/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/10/9/901/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. He, Meina & Wang, Yunqiang & Tong, Yongping & Zhao, Yali & Qiang, Xiaoke & Song, Yougui & Wang, Li & Song, Yi & Wang, Guangdong & He, Chunxiong, 2020. "Evaluation of the environmental effects of intensive land consolidation: A field-based case study of the Chinese Loess Plateau," Land Use Policy, Elsevier, vol. 94(C).
    2. Liu, Yansui & Zou, Lilin & Wang, Yongsheng, 2020. "Spatial-temporal characteristics and influencing factors of agricultural eco-efficiency in China in recent 40 years," Land Use Policy, Elsevier, vol. 97(C).
    3. Zhou, Yang & Li, Xunhuan & Liu, Yansui, 2020. "Land use change and driving factors in rural China during the period 1995-2015," Land Use Policy, Elsevier, vol. 99(C).
    4. Zongfeng Chen & Xueqi Liu & Zhi Lu & Yurui Li, 2021. "The Expansion Mechanism of Rural Residential Land and Implications for Sustainable Regional Development: Evidence from the Baota District in China’s Loess Plateau," Land, MDPI, vol. 10(2), pages 1-16, February.
    5. Lee, Cha-Hee, 2020. "Understanding rural landscape for better resident-led management: Residents’ perceptions on rural landscape as everyday landscapes," Land Use Policy, Elsevier, vol. 94(C).
    6. Colin Brown & Scott Waldron & John Longworth, 2011. "Specialty products, rural livelihoods and agricultural marketing reforms in China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 3(2), pages 224-244, May.
    7. Li, Yurui & Li, Yi & Karácsonyi, Dávid & Liu, Zhengjia & Wang, Yongsheng & Wang, Jieyong, 2020. "Spatio-temporal pattern and driving forces of construction land change in a poverty-stricken county of China and implications for poverty-alleviation-oriented land use policies," Land Use Policy, Elsevier, vol. 91(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Robert A. Marchant & Aida Cuni-Sanchez, 2022. "Special Issue Editorial: Mountains under Pressure," Land, MDPI, vol. 11(8), pages 1-5, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Qu, Lulu & Li, Yurui & Chen, Zongfeng & Huang, Yunxin, 2022. "Exploring the spatiotemporal variation characteristics and influencing factors of gully agricultural production transformation in the Chinese Loess Plateau: A case study of loess hilly and gully regio," Land Use Policy, Elsevier, vol. 123(C).
    2. Zhou, Yang & Zhong, Zhen & Cheng, Guoqiang, 2023. "Cultivated land loss and construction land expansion in China: Evidence from national land surveys in 1996, 2009 and 2019," Land Use Policy, Elsevier, vol. 125(C).
    3. Zongfeng Chen & Xueqi Liu & Zhi Lu & Yurui Li, 2021. "The Expansion Mechanism of Rural Residential Land and Implications for Sustainable Regional Development: Evidence from the Baota District in China’s Loess Plateau," Land, MDPI, vol. 10(2), pages 1-16, February.
    4. Weijia Chen & Yongquan Lu & Guilin Liu, 2022. "Balancing cropland gain and desert vegetation loss: The key to rural revitalization in Xinjiang, China," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1122-1145, September.
    5. Fei, Rilong & Lin, Ziyi & Chunga, Joseph, 2021. "How land transfer affects agricultural land use efficiency: Evidence from China’s agricultural sector," Land Use Policy, Elsevier, vol. 103(C).
    6. Rui Yao & Jianping Ye & Lei Song, 2023. "The Impact of the Rural–Urban Migration of Chinese Farmers on the Use of Rural Homesteads: A Threshold Model Analysis," Land, MDPI, vol. 12(7), pages 1-27, July.
    7. Fangqin Yang & Jianwei Sun & Junchang Yang & Xiaojin Liang, 2023. "Expanded Residential Lands and Reduced Populations in China, 2000–2020: Patch-Scale Observations of Rural Settlements," Land, MDPI, vol. 12(7), pages 1-17, July.
    8. Juan Li & Xunzhou Chunyu & Feng Huang, 2022. "Land Use Pattern Changes and the Driving Forces in the Shiyang River Basin from 2000 to 2018," Sustainability, MDPI, vol. 15(1), pages 1-27, December.
    9. Wancong Li & Hong Li & Shijun Wang & Zhiqiang Feng, 2022. "Spatiotemporal Evolution of County-Level Land Use Structure in the Context of Urban Shrinkage: Evidence from Northeast China," Land, MDPI, vol. 11(10), pages 1-19, October.
    10. Liu, Yansui & Zhou, Yang, 2021. "Territory spatial planning and national governance system in China," Land Use Policy, Elsevier, vol. 102(C).
    11. Lan Mu & Chunxia Luo & Zongjia Tan & Binglin Zhang & Xiaojuan Qu, 2023. "Assessing the Impact of Different Agricultural Irrigation Charging Methods on Sustainable Agricultural Production," Sustainability, MDPI, vol. 15(18), pages 1-19, September.
    12. Andrew Allan & Ali Soltani & Mohammad Hamed Abdi & Melika Zarei, 2022. "Driving Forces behind Land Use and Land Cover Change: A Systematic and Bibliometric Review," Land, MDPI, vol. 11(8), pages 1-20, August.
    13. Yunfei Feng & Yi Zhang & Zhaodan Wu & Quanliang Ye & Xinchun Cao, 2023. "Evaluation of Agricultural Eco-Efficiency and Its Spatiotemporal Differentiation in China, Considering Green Water Consumption and Carbon Emissions Based on Undesired Dynamic SBM-DEA," Sustainability, MDPI, vol. 15(4), pages 1-26, February.
    14. Junnan Xia & Mengyao Hong & Wei Wei, 2023. "Changes and Driving Forces of Urban–Agricultural–Ecological Space in the Yangtze River Economic Belt from 2000 to 2020," Land, MDPI, vol. 12(5), pages 1-17, May.
    15. Han Huang & Yang Zhou & Mingjie Qian & Zhaoqi Zeng, 2021. "Land Use Transition and Driving Forces in Chinese Loess Plateau: A Case Study from Pu County, Shanxi Province," Land, MDPI, vol. 10(1), pages 1-15, January.
    16. Zhang, Bangbang & Li, Xian & Chen, Haibin & Niu, Wenhao & Kong, Xiangbin & Yu, Qiang & Zhao, Minjuan & Xia, Xianli, 2022. "Identifying opportunities to close yield gaps in China by use of certificated cultivars to estimate potential productivity," Land Use Policy, Elsevier, vol. 117(C).
    17. Shangkun Yu & Yi Miao & Mengcheng Li & Xiaoming Ding & Chengxin Wang & Wangsheng Dou, 2022. "Theoretical Development Model for Rural Settlements against Rural Shrinkage: An Empirical Study on Pingyin County, China," Land, MDPI, vol. 11(8), pages 1-20, August.
    18. Jian, Yuqing & Liu, Zhengjia & Gong, Jianzhou, 2022. "Response of landscape dynamics to socio-economic development and biophysical setting across the farming-pastoral ecotone of northern China and its implications for regional sustainable land management," Land Use Policy, Elsevier, vol. 122(C).
    19. Ziyu Jia & Yan Jiao & Wei Zhang & Zheng Chen, 2022. "Rural Tourism Competitiveness and Development Mode, a Case Study from Chinese Township Scale Using Integrated Multi-Source Data," Sustainability, MDPI, vol. 14(7), pages 1-17, March.
    20. Quanhua Hou & Ziye Hu & Yuxuan Yang & Xiaoyang Fan & Jizhe Zhou & Lingda Zhang & Yaqiong Duan, 2023. "The Influence Mechanism of Farmer Behavior on the Spatial Pattern Evolution of Agricultural Production in the Yanhe River Basin," Land, MDPI, vol. 12(7), pages 1-18, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:10:y:2021:i:9:p:901-:d:622985. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.