IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v240y2020ics0378377420303668.html
   My bibliography  Save this article

The impact of soil and water resource conservation on agricultural production- an analysis of the agricultural production performance in Zhejiang, China

Author

Listed:
  • Qin, Chuangjian
  • Tang, Zhenda
  • Chen, Jing
  • Chen, Xiding

Abstract

Water and soil resource are fundamental natural resources and one of the determinant factors of the ecological environment. Soil erosion not only affects economic development, but also triggers the occurrence of natural disasters that threaten people's property and lives. Therefore, it is necessary to take various and effective measures and technologies to protect water and soil resources, to promote rapid and stable economic development, and to protect people's livelihood. This paper explores the impact of related policies on soil and water conservation in China in recent years on domestic agricultural development, and analyzes the effects of investment in soil and water conservation and construction on agricultural production in 11 cities in Zhejiang Province, from 2007 to 2016. The empirical results show that the performance of soil and water conservation construction in Zhejiang over the years fell in the range between 0.4 and 0.6, and the overall efficiency value and productivity changes began to decline after the year of 2015. Secondly, mixed cross-sectional data analysis and panel data analysis showed that the performance of soil and water conservation construction had a significantly positive impact on the agricultural outputs (log (Output1)) in each city.

Suggested Citation

  • Qin, Chuangjian & Tang, Zhenda & Chen, Jing & Chen, Xiding, 2020. "The impact of soil and water resource conservation on agricultural production- an analysis of the agricultural production performance in Zhejiang, China," Agricultural Water Management, Elsevier, vol. 240(C).
    • Handle: RePEc:eee:agiwat:v:240:y:2020:i:c:s0378377420303668
    DOI: 10.1016/j.agwat.2020.106268
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377420303668
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2020.106268?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. de Groot, Rudolf S. & Wilson, Matthew A. & Boumans, Roelof M. J., 2002. "A typology for the classification, description and valuation of ecosystem functions, goods and services," Ecological Economics, Elsevier, vol. 41(3), pages 393-408, June.
    2. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    3. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    4. Waltert, Fabian & Schläpfer, Felix, 2010. "Landscape amenities and local development: A review of migration, regional economic and hedonic pricing studies," Ecological Economics, Elsevier, vol. 70(2), pages 141-152, December.
    5. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    6. Berger, Allen N. & Humphrey, David B., 1991. "The dominance of inefficiencies over scale and product mix economies in banking," Journal of Monetary Economics, Elsevier, vol. 28(1), pages 117-148, August.
    7. Berger, Allen N. & Hancock, Diana & Humphrey, David B., 1993. "Bank efficiency derived from the profit function," Journal of Banking & Finance, Elsevier, vol. 17(2-3), pages 317-347, April.
    8. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
    9. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    10. Kopp, Raymond J. & Diewert, W. Erwin, 1982. "The decomposition of frontier cost function deviations into measures of technical and allocative efficiency," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 319-331, August.
    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. Dongfeng Ren & Zeyu Hu & Aihua Cao, 2024. "Evaluation and Prediction of the Coordination Degree of Coupling Water-Energy-Food-Land Systems in Typical Arid Areas," Sustainability, MDPI, vol. 16(16), pages 1-22, August.
    2. Lu, Chengpeng & Ji, Wei & Hou, Muchen & Ma, Tianyang & Mao, Jinhuang, 2022. "Evaluation of efficiency and resilience of agricultural water resources system in the Yellow River Basin, China," Agricultural Water Management, Elsevier, vol. 266(C).
    3. Huan Xu & Jianjun Yang & Guozhu Xia & Tao Lin, 2022. "Spatio-temporal Differentiation of Coupling Coordination between Ecological Footprint and Ecosystem Service Functions in the Aksu Region, Xinjiang, China," Sustainability, MDPI, vol. 14(6), pages 1-18, March.
    4. Wenzhe Luo & Yanling Jiang & Yuansheng Chen & Zhigang Yu, 2023. "Coupling Coordination and Spatial-Temporal Evolution of Water-Land-Food Nexus: A Case Study of Hebei Province at a County-Level," Land, MDPI, vol. 12(3), pages 1-22, March.

    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. Dairo Estrada & Poldy Osorio, 2004. "Effects of Financial Capital on Colombian Banking Efficiency," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 22(47), pages 162-201, December.
    2. Tim J. Coelli, 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 39(3), pages 219-245, December.
    3. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    4. Abdul Wadud, 2013. "Impact of Microcredit on Agricultural Farm Performance and Food Security in Bangladesh," Working Papers 14, Institute of Microfinance (InM).
    5. Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
    6. repec:aer:wpaper:324 is not listed on IDEAS
    7. Sickles, Robin C. & Song, Wonho & Zelenyuk, Valentin, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," Working Papers 18-008, Rice University, Department of Economics.
    8. Rodrigo Pereira de Oliveira & Bruno Ferreira Frascaroli, 2019. "Measuring the Efficiency of Tax Collection among Economic Sectors in Paraíba State Northeastern Brazil (2013-2015)," International Business Research, Canadian Center of Science and Education, vol. 12(7), pages 24-33, July.
    9. Kalb, Alexander, 2009. "What determines local governments' technical efficiency? The case of road maintenance," ZEW Discussion Papers 09-047, ZEW - Leibniz Centre for European Economic Research.
    10. Gian Carlo Scarsi, 1999. "Local Electricity Distribution in Italy: Comparative Efficiency Analysis and Methodological Cross-Checking," Working Papers 1999.16, Fondazione Eni Enrico Mattei.
    11. Guerrini, Andrea & Romano, Giulia & Leardini, Chiara, 2018. "Economies of scale and density in the Italian water industry: A stochastic frontier approach," Utilities Policy, Elsevier, vol. 52(C), pages 103-111.
    12. Afanasiev, Mikhail, 2007. "A Stochastic Frontier Model of a Scientist’s Production Potential," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 6(2), pages 36-59.
    13. Hakan Güneş & Dilem Yıldırım, 2016. "Estimating Cost Efficiency of Turkish Commercial Banks under Unobserved Heterogeneity with Stochastic Frontier Models," ERC Working Papers 1603, ERC - Economic Research Center, Middle East Technical University, revised Mar 2016.
    14. Varabyova, Yauheniya & Schreyögg, Jonas, 2013. "International comparisons of the technical efficiency of the hospital sector: Panel data analysis of OECD countries using parametric and non-parametric approaches," Health Policy, Elsevier, vol. 112(1), pages 70-79.
    15. Mohanty, Sunil K. & Lin, Winston T. & Lin, Hong-Jen, 2013. "Measuring cost efficiency in presence of heteroskedasticity: The case of the banking industry in Taiwan," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 77-90.
    16. Blazek, David & Sickles, Robin C., 2010. "The impact of knowledge accumulation and geographical spillovers on productivity and efficiency: The case of U. S. shipbuilding during WWII," Economic Modelling, Elsevier, vol. 27(6), pages 1484-1497, November.
    17. Quang Nguyen & Sean Pascoe & Louisa Coglan & Son Nghiem, 2021. "The sensitivity of efficiency scores to input and other choices in stochastic frontier analysis: an empirical investigation," Journal of Productivity Analysis, Springer, vol. 55(1), pages 31-40, February.
    18. Sedik, David & Trueblood, Michael & Arnade, Carlos, 1999. "Corporate Farm Performance in Russia, 1991-1995: An Efficiency Analysis," Journal of Comparative Economics, Elsevier, vol. 27(3), pages 514-533, September.
    19. Martín Rossi, 2015. "The Econometrics Approach to the Measurement of Efficiency: A Survey," Working Papers 117, Universidad de San Andres, Departamento de Economia, revised Feb 2015.
    20. Madau, Fabio A., 2012. "Technical and scale efficiency in the Italian Citrus Farming: A comparison between Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis(DEA) Models," MPRA Paper 41403, University Library of Munich, Germany.
    21. Sickles, Robin C. & Hao, Jiaqi & Shang, Chenjun, 2015. "Panel Data and Productivity Measurement," Working Papers 15-018, Rice University, Department of Economics.

    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:eee:agiwat:v:240:y:2020:i:c:s0378377420303668. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    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.