IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i4p1481-d1336472.html
   My bibliography  Save this article

The Impacts and Spatial Characteristics of High-Standard Farmland Construction on Agricultural Carbon Productivity

Author

Listed:
  • Xiayire Xiaokaiti

    (College of Economics and Management, Shihezi University, Shihezi 832000, China)

  • Hongli Zhang

    (College of Economics and Management, Shihezi University, Shihezi 832000, China
    Agricultural Modernization Research Center, Shihezi University, Shihezi 832000, China)

  • Nan Jia

    (College of Economics and Management, Shihezi University, Shihezi 832000, China)

Abstract

Agricultural carbon productivity combines the dual attributes of reducing carbon emissions and stabilizing economic growth, and is a core aspect of the new era of low-carbon agricultural development. The construction of high-standard farmland is an important initiative to promote high-yield and high-efficiency agriculture, as well as environmentally sustainable development through land improvement in China. However, the impact of high-standard farmland construction on agricultural carbon productivity and its mechanisms is still in the process of being determined. In order to fill this gap, this study aims to construct a theoretical, analytical framework for the impact of high-standard farmland construction on agricultural carbon productivity. Based on the current situation of high-standard farmland construction and the characteristics of agricultural carbon productivity in China, this study used the panel data of 31 provinces, from 2003 to 2017 in China, to empirically examine the effects, mediating paths, and spatial characteristics of the construction of high-standard farmland on agricultural carbon productivity using a double fixed-effects regression model, a mediating-effects model, and a spatial econometric model. The results show that: (1) High-standard farmland construction has a positive effect on agricultural carbon productivity, with a direct effect coefficient of 0.139 after adding a series of control variables. (2) Furthermore, heterogeneity analysis shows that the impact of high-standard farmland construction on agricultural carbon productivity will vary greatly depending on the topographic characteristics of the studied area, the level of economic development, and whether it is a main grain-producing area. (3) Mechanism analysis shows that agricultural scale operation, agricultural planting structure, and agricultural technology progress all have partial mediating roles in the impact of high-standard farmland construction on agricultural carbon productivity, with mediating effect coefficients of 0.025, 0.024, and 0.013, respectively. (4) Agricultural carbon productivity has a spatial correlation, and for every 1% increase in the level of high-standard farmland construction, agricultural carbon productivity increases by 0.117%, with a direct effect of 0.074% and a spatial spillover effect of 0.043%. Our study explains the impact effects, mechanisms, and spatial spillover effects of high-standard farmland construction on agricultural carbon productivity from theoretical and empirical perspectives, thus deepening the literature on the relationship between high-standard farmland construction and agricultural carbon productivity, and providing a theoretical basis and practical references for improving agricultural carbon productivity from the perspective of high-standard farmland construction policy.

Suggested Citation

  • Xiayire Xiaokaiti & Hongli Zhang & Nan Jia, 2024. "The Impacts and Spatial Characteristics of High-Standard Farmland Construction on Agricultural Carbon Productivity," Sustainability, MDPI, vol. 16(4), pages 1-19, February.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:4:p:1481-:d:1336472
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/4/1481/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/4/1481/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Adnan Khurshid & Abdur Rauf & Sadia Qayyum & Adrian Cantemir Calin & WenQi Duan, 2023. "Green innovation and carbon emissions: the role of carbon pricing and environmental policies in attaining sustainable development targets of carbon mitigation—evidence from Central-Eastern Europe," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8777-8798, August.
    2. Xisheng Liao & Shaoyi Qin & Yajuan Wang & Hongbo Zhu & Xuexiang Qi, 2023. "Effects of Land Transfer on Agricultural Carbon Productivity and Its Regional Differentiation in China," Land, MDPI, vol. 12(7), pages 1-15, July.
    3. Tracy Bradfield & Robert Butler & Emma Dillon & Thia Hennessy & Paul Kilgarriff, 2021. "The Effect of Land Fragmentation on the Technical Inefficiency of Dairy Farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 486-499, June.
    4. Aligui Tientao & Diego Legros & Marie Claude Pichery, 2016. "Technology spillover and TFP growth: A spatial Durbin model," International Economics, CEPII research center, issue 145, pages 21-31.
    5. Takashi Kurosaki & Humayun Khan, 2006. "Human Capital, Productivity, and Stratification in Rural Pakistan," Review of Development Economics, Wiley Blackwell, vol. 10(1), pages 116-134, February.
    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. Alvarado, Rafael, 2012. "Wages differentials in Ecuador: A regional approach with sample selection of Heckman and Oaxaca-Blinder decomposition," MPRA Paper 37470, University Library of Munich, Germany.
    2. Ren, Siyu & Hao, Yu & Wu, Haitao, 2022. "The role of outward foreign direct investment (OFDI) on green total factor energy efficiency: Does institutional quality matters? Evidence from China," Resources Policy, Elsevier, vol. 76(C).
    3. Ndip, Francis Ebai & Molua, Ernest L. & Mvodo, Meyo-Elise Stephanie & Nkendah, Robert & Djomo Choumbou, Raoul Fani & Tabetando, Rayner & Akem, Nina Fabinin, 2023. "Farmland Fragmentation, crop diversification and incomes in Cameroon, a Congo Basin country," Land Use Policy, Elsevier, vol. 130(C).
    4. Georgina Milne & Andrew William Byrne & Emma Campbell & Jordon Graham & John McGrath & Raymond Kirke & Wilma McMaster & Jesko Zimmermann & Adewale Henry Adenuga, 2022. "Quantifying Land Fragmentation in Northern Irish Cattle Enterprises," Land, MDPI, vol. 11(3), pages 1-16, March.
    5. Nasir Iqbal & Masood Sarwar Awan, 2015. "Determinants of Urban Poverty: The Case of Medium Sized City in Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 54(4), pages 719-738.
    6. Myovella, Godwin & Karacuka, Mehmet & Haucap, Justus, 2021. "Determinants of digitalization and digital divide in Sub-Saharan African economies: A spatial Durbin analysis," Telecommunications Policy, Elsevier, vol. 45(10).
    7. Ito, Takahiro, 2009. "Caste discrimination and transaction costs in the labor market: Evidence from rural North India," Journal of Development Economics, Elsevier, vol. 88(2), pages 292-300, March.
    8. Aiko Kikkawa & Keijiro Otsuka, 2020. "The changing landscape of international migration: evidence from rural households in Bangladesh, 2000–2014," Oxford Development Studies, Taylor & Francis Journals, vol. 48(3), pages 222-239, July.
    9. Senaratna Sellamuttu, Sonali, 2013. "How access to irrigation influences poverty and livelihoods: a case study from Sri Lanka. Impact assessment of infrastructure projects on poverty reduction," IWMI Working Papers H045795, International Water Management Institute.
    10. M. Shahe Emran & Fenohasina Maret-Rakotondrazaka & Stephen C. Smith, 2014. "Education and Freedom of Choice: Evidence from Arranged Marriages in Vietnam," Journal of Development Studies, Taylor & Francis Journals, vol. 50(4), pages 481-501, April.
    11. Sonali Senaratna Sellamuttu & Takeshi Aida & Ryuji Kasahara & Yasuyuki Sawada & Deeptha Wijerathna, 2014. "How Access to Irrigation Influences Poverty and Livelihoods: A Case Study from Sri Lanka," Journal of Development Studies, Taylor & Francis Journals, vol. 50(5), pages 748-768, May.
    12. Takashi Kurosaki, 2013. "Dynamics of Household Assets and Income Shocks in the Long-run Process of Economic Development: The Case of Rural Pakistan," Asian Development Review, MIT Press, vol. 30(2), pages 76-109, September.
    13. Laure Latruffe & Andreas Niedermayr & Yann Desjeux & K Herve Dakpo & Kassoum Ayouba & Lena Schaller & Jochen Kantelhardt & Yan Jin & Kevin Kilcline & Mary Ryan & Cathal O’Donoghue, 2023. "Identifying and assessing intensive and extensive technologies in European dairy farming," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(4), pages 1482-1519.
    14. Zhang, Yonggang & Dilanchiev, Azer, 2022. "Economic recovery, industrial structure and natural resource utilization efficiency in China: Effect on green economic recovery," Resources Policy, Elsevier, vol. 79(C).
    15. Zhou, Guangyou & Zhu, Jieyu & Luo, Sumei, 2022. "The impact of fintech innovation on green growth in China: Mediating effect of green finance," Ecological Economics, Elsevier, vol. 193(C).
    16. Kai Zhao, 2021. "Competition of International Trade, Technology Spillover, and R&D Innovation," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(2), pages 676-694, June.
    17. Juan Cabas Monje & Bouali Guesmi & Amer Ait Sidhoum & José María Gil, 2023. "Measuring technical efficiency of Spanish pig farming: Quantile stochastic frontier approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(4), pages 688-703, October.
    18. Zhang, Cheng & Yao, Yangyang & Zhou, Han, 2023. "External technology dependence and manufacturing TFP: Evidence from China," Research in International Business and Finance, Elsevier, vol. 64(C).
    19. Onofri, Laura & Trestini, Samuele & Mamine, Fateh & Loughrey, Jason, 2022. "Understanding the Agricultural Land Leasing Market in Ireland: A Transaction Cost Approach," 96th Annual Conference, April 4-6, 2022, K U Leuven, Belgium 321211, Agricultural Economics Society - AES.
    20. Muhammad Sohail Amjad Makhdum & Rakhshanda Kousar, 2021. "Gender in agriculture: Determinants of female labor supply decisions among rural households in the context of market imperfections in Pakistan," Agricultural Economics, International Association of Agricultural Economists, vol. 52(2), pages 235-248, March.

    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:jsusta:v:16:y:2024:i:4:p:1481-:d:1336472. 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.