IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i7p1395-d1192256.html
   My bibliography  Save this article

Spatial Distribution Pattern, Evolution and Influencing Mechanism of Ecological Farms in China

Author

Listed:
  • Dahao Guo

    (School of Geography, South China Normal University, Guangzhou 510631, China)

  • Yuancheng Lin

    (School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China)

  • Min Wang

    (School of Geography, South China Normal University, Guangzhou 510631, China)

  • Zirou Huang

    (School of Geography, South China Normal University, Guangzhou 510631, China)

Abstract

Nowadays, the challenges of energy depletion, environmental pollution and food security caused by extensive agriculture development are attracting global attention. In China, the construction of ecological farms is a key initiative to effectuate the goal of peaking carbon dioxide emissions and achieving carbon neutrality, contributing to high-quality agricultural development. Based on this, this study selects the national-level ecological farms directories issued by the Ministry of Agriculture and Rural Affairs (MARA) of China in 2021 and 2022, and collects the corresponding economic, social and physical geographic data for GIS spatial analysis and Geodetector. The results are as follows: (1) The distribution of ecological farms in various provinces of China is uneven and spatially clustered. It generally presents a ‘high in the east and low in the west with concentrated cores’ pattern. The construction scope significantly expanded over time, and the high-value areas of nuclear density are concentrated in East China, with the development core transitioned from East China to Central China. (2) Environmental conditions, industrial foundation, economic and social development level, science and technology level and financial support all significantly affect the spatial distribution of ecological farms in China, among which the science and technology level has the most significant enhancement effect on other factors. (3) Environmental conditions provide the construction basis for ecological farms, while economic and social development level and financial support determine the number of ecological farms. The industrial foundation affects the scale of ecological farms in China, while the level of science and technology eliminates the restrictions of other factors to a certain extent. This study provides a reference for optimizing the spatial distribution pattern of ecological farms in China and promoting ecological agriculture. In addition, it presents a viable approach to safeguarding food security.

Suggested Citation

  • Dahao Guo & Yuancheng Lin & Min Wang & Zirou Huang, 2023. "Spatial Distribution Pattern, Evolution and Influencing Mechanism of Ecological Farms in China," Land, MDPI, vol. 12(7), pages 1-20, July.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:7:p:1395-:d:1192256
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/7/1395/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/12/7/1395/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Doyeon Lee & Keunhwan Kim, 2022. "National Investment Framework for Revitalizing the R&D Collaborative Ecosystem of Sustainable Smart Agriculture," Sustainability, MDPI, vol. 14(11), pages 1-30, May.
    2. Paut, Raphaël & Sabatier, Rodolphe & Tchamitchian, Marc, 2019. "Reducing risk through crop diversification: An application of portfolio theory to diversified horticultural systems," Agricultural Systems, Elsevier, vol. 168(C), pages 123-130.
    3. Michel P. Pimbert & Nina Isabella Moeller, 2018. "Absent Agroecology Aid: On UK Agricultural Development Assistance Since 2010," Sustainability, MDPI, vol. 10(2), pages 1-10, February.
    4. Lombardi, G.V. & Parrini, Silvia & Atzori, R. & Stefani, G. & Romano, D. & Gastaldi, M. & Liu, G., 2021. "Sustainable agriculture, food security and diet diversity. The case study of Tuscany, Italy," Ecological Modelling, Elsevier, vol. 458(C).
    5. Priyadarshini, Priya & Abhilash, Purushothaman Chirakkuzhyil, 2020. "Policy recommendations for enabling transition towards sustainable agriculture in India," Land Use Policy, Elsevier, vol. 96(C).
    6. Jie Huang & Zimin Sun & Pengshu Zhong, 2022. "The Spatial Disequilibrium and Dynamic Evolution of the Net Agriculture Carbon Effect in China," Sustainability, MDPI, vol. 14(21), pages 1-18, October.
    7. Ogundari, Kolawole & Bolarinwa, Olufemi D., 2018. "Impact of agricultural innovation adoption: a meta-analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(2), April.
    8. Fang, Pengqian & Dong, Siping & Xiao, Jingjing & Liu, Chaojie & Feng, Xianwei & Wang, Yiping, 2010. "Regional inequality in health and its determinants: Evidence from China," Health Policy, Elsevier, vol. 94(1), pages 14-25, January.
    9. Amadu, Festus O. & McNamara, Paul E. & Miller, Daniel C., 2020. "Understanding the adoption of climate-smart agriculture: A farm-level typology with empirical evidence from southern Malawi," World Development, Elsevier, vol. 126(C).
    10. Shen, Jinlong & Zhao, Yekun & Song, Jianfeng, 2022. "Analysis of the regional differences in agricultural water poverty in China: Based on a new agricultural water poverty index," Agricultural Water Management, Elsevier, vol. 270(C).
    11. Lingjun Wang & Ying Wang & Jian Chen, 2019. "Assessment of the Ecological Niche of Photovoltaic Agriculture in China," Sustainability, MDPI, vol. 11(8), pages 1-17, April.
    12. Miguel A. Altieri & Clara I. Nicholls, 2017. "The adaptation and mitigation potential of traditional agriculture in a changing climate," Climatic Change, Springer, vol. 140(1), pages 33-45, January.
    13. Liao, Liuwen & Long, Hualou & Gao, Xiaolu & Ma, Enpu, 2019. "Effects of land use transitions and rural aging on agricultural production in China’s farming area: A perspective from changing labor employing quantity in the planting industry," Land Use Policy, Elsevier, vol. 88(C).
    14. Xia, Min & Zhang, Yanyuan & Zhang, Zihong & Liu, Jingjie & Ou, Weixin & Zou, Wei, 2020. "Modeling agricultural land use change in a rapid urbanizing town: Linking the decisions of government, peasant households and enterprises," Land Use Policy, Elsevier, vol. 90(C).
    15. Shi, Tian, 2002. "Ecological agriculture in China: bridging the gap between rhetoric and practice of sustainability," Ecological Economics, Elsevier, vol. 42(3), pages 359-368, September.
    16. Kolawole Ogundari & Olufemi D. Bolarinwa, 2018. "Impact of agricultural innovation adoption: a meta†analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(2), pages 217-236, April.
    17. Deng, Haiyan & Zheng, Wangyi & Shen, Zhiyang & Štreimikienė, Dalia, 2023. "Does fiscal expenditure promote green agricultural productivity gains: An investigation on corn production," Applied Energy, Elsevier, vol. 334(C).
    Full references (including those not matched with items on IDEAS)

    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. Wanglin Ma & Sanghyun Hong & W. Robert Reed & Jianhua Duan & Phong Luu, 2023. "Yield effects of agricultural cooperative membership in developing countries: A meta‐analysis," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 94(3), pages 761-780, September.
    2. Dario Schulz & Jan Börner, 2023. "Innovation context and technology traits explain heterogeneity across studies of agricultural technology adoption: A meta‐analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(2), pages 570-590, June.
    3. Wang, Weiwen & Gong, Jian & Wang, Ying & Shen, Yang, 2021. "Exploring the effects of rural site conditions and household livelihood capitals on agricultural land transfers in China," Land Use Policy, Elsevier, vol. 108(C).
    4. Yanhua Chang & Yi Liang, 2023. "Intelligent Risk Assessment of Ecological Agriculture Projects from a Vision of Low Carbon," Sustainability, MDPI, vol. 15(7), pages 1-21, March.
    5. Guven, Cahit & Tong, Lan & Ulubasoglu, Mehmet, 2021. "Growing More Rice with Less Water: The System of Rice Intensification and Rice Productivity in Vietnam," MPRA Paper 108768, University Library of Munich, Germany.
    6. Maleki, Tahereh & Koohestani, Hossein & Keshavarz, Marzieh, 2022. "Can climate-smart agriculture mitigate the Urmia Lake tragedy in its eastern basin?," Agricultural Water Management, Elsevier, vol. 260(C).
    7. Ruzzante, Sacha & Labarta, Ricardo & Bilton, Amy, 2021. "Adoption of agricultural technology in the developing world: A meta-analysis of the empirical literature," World Development, Elsevier, vol. 146(C).
    8. Lan Anh Tong & Mehmet Ali Ulubaşoğlu & Cahit Guven, 2022. "Growing more Rice with less water: the System of Rice Intensification and water productivity in Vietnam," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(3), pages 581-611, July.
    9. Schulz, Dario & Börner, Jan, 2021. "Context and Technology Traits Explain Heterogeneity Across Adoption Studies of Agricultural Innovations: A Global Meta-Analysis," 2021 Conference, August 17-31, 2021, Virtual 315003, International Association of Agricultural Economists.
    10. Wanjira, John K. & Mburu, John I. & Nzuve, Felister M. & Makokha, Stella & Emongor, Rosemary A. & Taracha, Catheline, 2022. "Impact of climate-smart maize varieties on household income among smallholder farmers in Kenya: The case of Embu County," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 17(3), September.
    11. Nguyen Duc Kien & Truong Quang Dung & Dinh Thi Kim Oanh & Le Thanh An & Nguyen Cong Dinh & Nguyen Thai Phan & Le Thi Thanh Nga, 2023. "Climate‐resilient practices and welfare impacts on rice‐cultivating households in Vietnam: Does joint adoption of multiple practices matter?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(2), pages 263-284, April.
    12. Varshney, Deepak & Mishra, Ashok K. & Joshi, Pramod K. & Roy, Devesh, 2022. "Social networks, heterogeneity, and adoption of technologies: Evidence from India," Food Policy, Elsevier, vol. 112(C).
    13. Mindy Jewell Price & Alex Latta & Andrew Spring & Jennifer Temmer & Carla Johnston & Lloyd Chicot & Jessica Jumbo & Margaret Leishman, 2022. "Agroecology in the North: Centering Indigenous food sovereignty and land stewardship in agriculture “frontiers”," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 39(4), pages 1191-1206, December.
    14. Shambu Prasad Chebrolu & Deborah Dutta, 2021. "Managing Sustainable Transitions: Institutional Innovations from India," Sustainability, MDPI, vol. 13(11), pages 1-16, May.
    15. Li, Linfei & Khan, Sufyan Ullah & Guo, Chenhao & Huang, Yanfen & Xia, Xianli, 2022. "Non-agricultural labor transfer, factor allocation and farmland yield: Evidence from the part-time peasants in Loess Plateau region of Northwest China," Land Use Policy, Elsevier, vol. 120(C).
    16. Shuai, Jing & Zhao, Yujia & Shuai, Chuanmin & Wang, Jingjin & Yi, Tian & Cheng, Jinhua, 2023. "Assessing the international co-opetition dynamics of rare earth resources between China, USA, Japan and the EU: An ecological niche approach," Resources Policy, Elsevier, vol. 82(C).
    17. Baccar, Mariem & Raynal, Hélène & Sekhar, Muddu & Bergez, Jacques-Eric & Willaume, Magali & Casel, Pierre & Giriraj, P. & Murthy, Sanjeeva & Ruiz, Laurent, 2023. "Dynamics of crop category choices reveal strategies and tactics used by smallholder farmers in India to cope with unreliable water availability," Agricultural Systems, Elsevier, vol. 211(C).
    18. Peng Nie & Andrew E. Clarck & Conchita D'Ambrosio & Lanlin Ding, 2020. "Income-related health inequality in urban China (1991-2015): The role of homeownership and housing conditions," Working Papers 524, ECINEQ, Society for the Study of Economic Inequality.
    19. Chao Zhang & Ruifa Hu, 2022. "Adoption of Direct Seeding, Yield and Fertilizer Use in Rice Production: Empirical Evidence from China," Agriculture, MDPI, vol. 12(9), pages 1-15, September.
    20. Islam, Zeenatul & Sabiha, Noor E & Salim, Ruhul, 2022. "Integrated environment-smart agricultural practices: A strategy towards climate-resilient agriculture," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 59-72.

    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:12:y:2023:i:7:p:1395-:d:1192256. 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.