IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v287y2023ics0378377423002949.html
   My bibliography  Save this article

Role of China's agricultural water policy reforms and production technology heterogeneity on agriculture water usage efficiency and total factor productivity change

Author

Listed:
  • Shah, Wasi Ul Hassan
  • Hao, Gang
  • Yasmeen, Rizwana
  • Yan, Hong
  • Shen, Jintao
  • Lu, Yuting

Abstract

China introduced the "agricultural water conversion policy" in 2012 to efficiently utilize agricultural water resources and improve production technology in different regions of the Country to increase sustainable agriculture production. To this end, for Policy impact evaluation, our study employed slack-based measure data envelopment analysis, Meta frontier Analysis, and the Malmquist productivity index to measure the agriculture water usage efficiency, agriculture Production technology heterogeneity, and total factor productivity change in pre- and post-agriculture water policy (2012) implementation in different regions of China. Data for 31 provinces and cities were taken for efficiency and productivity estimation from 2000 to 2020. Results revealed that agriculture water usage efficiency significantly increased after the policy implementation. The average agricultural water usage efficiency score for the 2000–2012pre–policy period is 0.6763, whereas the average AWUE score for the 2013–2020 post–policy period is 0.7522, showing an increase of 11.22%. Further results show that the eastern region maintains superior agriculture production technology compared to the western and central regions, with an average technology gap ratio of 0.8941 during the study period. The average total factor productivity change for the study period is 1.0769. Technological change is the primary determinant of productivity growth. There was a marginal decline in average Productivity change after policy implementation. Mann-Whitney and Kruskal Wallis test strengthens the study's results by providing statistically significant differences among different periods and regions.

Suggested Citation

  • Shah, Wasi Ul Hassan & Hao, Gang & Yasmeen, Rizwana & Yan, Hong & Shen, Jintao & Lu, Yuting, 2023. "Role of China's agricultural water policy reforms and production technology heterogeneity on agriculture water usage efficiency and total factor productivity change," Agricultural Water Management, Elsevier, vol. 287(C).
    • Handle: RePEc:eee:agiwat:v:287:y:2023:i:c:s0378377423002949
    DOI: 10.1016/j.agwat.2023.108429
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377423002949
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2023.108429?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. Xu, Hang & Yang, Rui, 2022. "Does agricultural water conservation policy necessarily reduce agricultural water extraction? Evidence from China," Agricultural Water Management, Elsevier, vol. 274(C).
    2. Hu, Yue & Liu, Chang & Peng, Jiangang, 2021. "Financial inclusion and agricultural total factor productivity growth in China," Economic Modelling, Elsevier, vol. 96(C), pages 68-82.
    3. Emrouznejad, Ali & Yang, Guo-liang, 2018. "A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016," Socio-Economic Planning Sciences, Elsevier, vol. 61(C), pages 4-8.
    4. Jinxia Wang & Yunyun Zhu & Tianhe Sun & Jikun Huang & Lijuan Zhang & Baozhu Guan & Qiuqiong Huang, 2020. "Forty years of irrigation development and reform in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(1), pages 126-149, January.
    5. 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).
    6. 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.
    7. Wasi Ul Hassan Shah & Yuting Lu & Gang Hao & Hong Yan & Rizwana Yasmeen, 2022. "Impact of “Three Red Lines” Water Policy (2011) on Water Usage Efficiency, Production Technology Heterogeneity, and Determinant of Water Productivity Change in China," IJERPH, MDPI, vol. 19(24), pages 1-23, December.
    8. Malik Shahzad Shabbir & Nusrat Yaqoob, 2019. "The impact of technological advancement on total factor productivity of cotton: a comparative analysis between Pakistan and India," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 8(1), pages 1-16, December.
    9. Wang, Linlin & Wu, Wenyong & Xiao, Juan & Huang, Qiannan & Hu, Yaqi, 2021. "Effects of different drip irrigation modes on water use efficiency of pear trees in Northern China," Agricultural Water Management, Elsevier, vol. 245(C).
    10. Fei, Rilong & Lin, Boqiang, 2016. "Energy efficiency and production technology heterogeneity in China's agricultural sector: A meta-frontier approach," Technological Forecasting and Social Change, Elsevier, vol. 109(C), pages 25-34.
    11. Jikun Huang, 2021. "Innovations in Agricultural Technologies in China," Springer Books, in: From Food Scarcity to Surplus, chapter 0, pages 83-135, Springer.
    12. Shahbaz Mushtaq, 2012. "Exploring Synergies Between Hardware and Software Interventions on Water Savings in China: Farmers’ Response to Water Usage and Crop Production," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(11), pages 3285-3300, September.
    13. Song, Zengzhen & Peng, Yuxing & Li, Zizhong & Zhang, Shuai & Liu, Xiaotong & Tan, Senwen, 2022. "Two irrigation events can achieve relatively high, stable corn yield and water productivity in aeolian sandy soil of northeast China," Agricultural Water Management, Elsevier, vol. 260(C).
    14. Mul, M.L. & Kemerink, J.S. & Vyagusa, N.F. & Mshana, M.G. & van der Zaag, P. & Makurira, H., 2011. "Water allocation practices among smallholder farmers in the South Pare Mountains, Tanzania: The issue of scale," Agricultural Water Management, Elsevier, vol. 98(11), pages 1752-1760, September.
    15. Shuxing Xiao & Zuxin He & Weikun Zhang & Xiaoming Qin, 2022. "The Agricultural Green Production following the Technological Progress: Evidence from China," IJERPH, MDPI, vol. 19(16), pages 1-16, August.
    16. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, November.
    17. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    18. Zheng, Huifang & Shao, Ruixin & Xue, Yanfang & Ying, Hao & Yin, Yulong & Cui, Zhenling & Yang, QingHua, 2020. "Water productivity of irrigated maize production systems in Northern China: A meta-analysis," Agricultural Water Management, Elsevier, vol. 234(C).
    19. Oliver T. Coomes & Bradford L. Barham & Graham K. MacDonald & Navin Ramankutty & Jean-Paul Chavas, 2019. "Leveraging total factor productivity growth for sustainable and resilient farming," Nature Sustainability, Nature, vol. 2(1), pages 22-28, January.
    20. Shijin Wang, 2017. "Impact of FDI on energy efficiency: an analysis of the regional discrepancies in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(2), pages 1209-1222, January.
    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. Mingze Du & Tongwei Zhang & Dehui Wang, 2023. "Can China’s Campaign-Style Environmental Regulation Improve the Green Total Factor Productivity?," Sustainability, MDPI, vol. 15(24), pages 1-20, December.

    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. Cao, Ting & Cook, Wade D. & Kristal, M. Murat, 2022. "Has the technological investment been worth it? Assessing the aggregate efficiency of non-homogeneous bank holding companies in the digital age," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    2. Francesco Sarracino & Kelsey J. OConnor, 2022. "A Measure of Well-being Efficiency Based on the World Happiness Report," International Productivity Monitor, Centre for the Study of Living Standards, vol. 43, pages 10-40, Fall.
    3. Silvia Saravia-Matus & T. S. Amjath-Babu & Sreejith Aravindakshan & Stefan Sieber & Jimmy A. Saravia & Sergio Gomez y Paloma, 2021. "Can Enhancing Efficiency Promote the Economic Viability of Smallholder Farmers? A Case of Sierra Leone," Sustainability, MDPI, vol. 13(8), pages 1-17, April.
    4. Simona Alfiero & Laura Broccardo & Massimo Cane & Alfredo Esposito, 2018. "High Performance Through Innovation Process Management in SMEs. Evidence from the Italian wine sector," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2018(3), pages 87-110.
    5. Junlong Li & Chuangneng Cai & Feng Zhang, 2020. "Assessment of Ecological Efficiency and Environmental Sustainability of the Minjiang-Source in China," Sustainability, MDPI, vol. 12(11), pages 1-15, June.
    6. Aurélie Corne & Olga Goncalves & Nicolas Peypoch, 2020. "Evaluating the performance drivers of French ski resorts: A hierarchical approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(3), pages 389-405, April.
    7. Cordero, José Manuel & Santín, Daniel & Sicilia, Gabriela, 2015. "Testing the accuracy of DEA estimates under endogeneity through a Monte Carlo simulation," European Journal of Operational Research, Elsevier, vol. 244(2), pages 511-518.
    8. Nguyen, Bao Hoang & Simar, Léopold & Zelenyuk, Valentin, 2022. "Data sharpening for improving central limit theorem approximations for data envelopment analysis–type efficiency estimators," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1469-1480.
    9. Moravcikova Dominika & Krizanova Anna & Svabova Lucia, 2018. "Evaluation of the Effectiveness of Selected Slovak Brands on the Principle of DEA Models with the Possibility to Optimise them," Economics and Culture, Sciendo, vol. 15(1), pages 22-34, June.
    10. Yang, Guo-liang & Fukuyama, Hirofumi & Chen, Kun, 2019. "Investigating the regional sustainable performance of the Chinese real estate industry: A slack-based DEA approach," Omega, Elsevier, vol. 84(C), pages 141-159.
    11. Yin, Xu & Wang, Jing & Li, Yurui & Feng, Zhiming & Wang, Qianyi, 2021. "Are small towns really inefficient? A data envelopment analysis of sampled towns in Jiangsu province, China," Land Use Policy, Elsevier, vol. 109(C).
    12. Li, Feng & Zhu, Qingyuan & Chen, Zhi, 2019. "Allocating a fixed cost across the decision making units with two-stage network structures," Omega, Elsevier, vol. 83(C), pages 139-154.
    13. Nadimi, Reza & Tokimatsu, Koji, 2019. "Potential energy saving via overall efficiency relying on quality of life," Applied Energy, Elsevier, vol. 233, pages 283-299.
    14. Vittadini, Giorgio & Sturaro, Caterina & Folloni, Giuseppe, 2022. "Non-Cognitive Skills and Cognitive Skills to measure school efficiency," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    15. Kimhi, Ayai & Lerman, Zvi (ed.), 2015. "Agricultural transition in post-soviet Europe and Central Asia after 25 years: International workshop in honor of Professor Zvi Lerman," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 79, number 79.
    16. Wijesiri, Mahinda & Yaron, Jacob & Meoli, Michele, 2017. "Assessing the financial and outreach efficiency of microfinance institutions: Do age and size matter?," Journal of Multinational Financial Management, Elsevier, vol. 40(C), pages 63-76.
    17. Thanh Ngo & Kan Wai Hong Tsui, 2022. "Estimating the confidence intervals for DEA efficiency scores of Asia-Pacific airlines," Operational Research, Springer, vol. 22(4), pages 3411-3434, September.
    18. Cheng, Gang & Qian, Zhenhua, 2011. "Dea数据标准化方法及其在方向距离函数模型中的应用 [Data normalization for data envelopment analysis and its application to directional distance function]," MPRA Paper 31995, University Library of Munich, Germany.
    19. Thu Trang Tran Nguyen & Hai Ha Le & Thi Minh Hop Ho & Thomas Dogot & Philippe Burny & Thi Nga Bui & Philippe Lebailly, 2020. "Efficiency Analysis of the Progress of Orange Farms in Tuyen Quang Province, Vietnam towards Sustainable Development," Sustainability, MDPI, vol. 12(8), pages 1-15, April.
    20. Frýd, Lukáš & Sokol, Ondřej, 2021. "Relationships between technical efficiency and subsidies for Czech farms: A two-stage robust approach," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).

    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:287:y:2023:i:c:s0378377423002949. 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.