IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i5p3939-d1077424.html
   My bibliography  Save this article

Crop Straw Resource Utilization as Pilot Policy in China: An Event History Analysis

Author

Listed:
  • Wuliyasu Bai

    (School of Economics and Management, China University of Geosciences, Wuhan 430078, China)

  • Long Zhang

    (School of Business, Xinyang Normal University, Xinyang 464000, China)

  • Liang Yan

    (School of Economics and Management, China University of Geosciences, Wuhan 430078, China)

  • Xinyi Wang

    (School of Economics and Management, China University of Geosciences, Wuhan 430078, China)

  • Zhiqiao Zhou

    (School of Land Science and Technology, China University of Geosciences (Beijing), Beijing 100083, China)

Abstract

Massively generated crop straw can be utilized and valorized with great economic and environmental benefits. The Chinese government has adopted the pilot policy of crop straw resource utilization (CSRU) for disposing of the straw and practicing waste valorization. This work took 164 counties in the Hebei Province of China as a case study, mapped the temporal and spatial characteristics of the diffusion of the CSRU pilot policy in this province, and conducted an Event History Analysis by establishing a binary logistic regression model to identify the specific factors that determine the diffusion of the CSRU pilot policy in China from the aspects of resource availability, internal capacity, and external pressure. It indicates that: (1) the CSRU pilot policy diffuses rapidly in Hebei Province, although it is still at the early stage of this policy diffusion; (2) the model explains 95.2% of the variance in adopting a pilot county, indicating the effectiveness of this model; (3) straw resource density has a positive impact on CSRU pilot selections, and it can increase the possibility of one county being selected as a CSRU pilot by 23.2%, while population density has shown a negative effect; (3) policy support from local government is a major internal factor that determines CSRU performance, and it can increase the possibility of one county being selected as a CSRU pilot nearly tenfold; proximity pressure from neighboring counties has a positive effect on the diffusion of the CSRU policy, and it also greatly increases the possibility of being selected as a CSRU pilot.

Suggested Citation

  • Wuliyasu Bai & Long Zhang & Liang Yan & Xinyi Wang & Zhiqiao Zhou, 2023. "Crop Straw Resource Utilization as Pilot Policy in China: An Event History Analysis," IJERPH, MDPI, vol. 20(5), pages 1-19, February.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:5:p:3939-:d:1077424
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/5/3939/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/20/5/3939/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Craig Volden, 2006. "States as Policy Laboratories: Emulating Success in the Children's Health Insurance Program," American Journal of Political Science, John Wiley & Sons, vol. 50(2), pages 294-312, April.
    2. Sun, Dingqiang & Ge, Yang & Zhou, Yingheng, 2019. "Punishing and rewarding: How do policy measures affect crop straw use by farmers? An empirical analysis of Jiangsu Province of China," Energy Policy, Elsevier, vol. 134(C).
    3. Walker, Jack L., 1969. "The Diffusion of Innovations among the American States," American Political Science Review, Cambridge University Press, vol. 63(3), pages 880-899, November.
    4. Mohr, Lawrence B., 1969. "Determinants of Innovation in Organizations," American Political Science Review, Cambridge University Press, vol. 63(1), pages 111-126, March.
    5. Koleman S. Strumpf, 2002. "Does Government Decentralization Increase Policy Innovation?," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 4(2), pages 207-241, April.
    6. Parkes, Stephen & Mardsen, Greg & Shaheen, Susan PhD & Cohen, Adam, 2013. "Understanding the Diffusion of Public Bikesharing Systems: Evidence from Europe and North America," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt3qr9h2pr, Institute of Transportation Studies, UC Berkeley.
    7. repec:bla:jpbect:v:4:y:2002:i:2:p:207-41 is not listed on IDEAS
    8. Berry, Frances Stokes & Berry, William D., 1990. "State Lottery Adoptions as Policy Innovations: An Event History Analysis," American Political Science Review, Cambridge University Press, vol. 84(2), pages 395-415, June.
    9. Strebel, Felix, 2011. "Inter-governmental institutions as promoters of energy policy diffusion in a federal setting," Energy Policy, Elsevier, vol. 39(1), pages 467-476, January.
    10. Youlang Zhang & Xufeng Zhu, 2019. "Multiple mechanisms of policy diffusion in China," Public Management Review, Taylor & Francis Journals, vol. 21(4), pages 495-514, April.
    11. Bailey, Simon & Checkland, Kath & Hodgson, Damian & McBride, Anne & Elvey, Rebecca & Parkin, Stephen & Rothwell, Katy & Pierides, Dean, 2017. "The policy work of piloting: Mobilising and managing conflict and ambiguity in the English NHS," Social Science & Medicine, Elsevier, vol. 179(C), pages 210-217.
    12. Abel, Dennis, 2021. "The diffusion of climate policies among German municipalities," Journal of Public Policy, Cambridge University Press, vol. 41(1), pages 111-136, March.
    13. Simmons, Beth A. & Elkins, Zachary, 2004. "The Globalization of Liberalization: Policy Diffusion in the International Political Economy," American Political Science Review, Cambridge University Press, vol. 98(1), pages 171-189, February.
    14. Charles R. Shipan & Craig Volden, 2006. "Bottom‐Up Federalism: The Diffusion of Antismoking Policies from U.S. Cities to States," American Journal of Political Science, John Wiley & Sons, vol. 50(4), pages 825-843, October.
    15. Parkes, Stephen D. & Marsden, Greg & Shaheen, Susan A. & Cohen, Adam P., 2013. "Understanding the diffusion of public bikesharing systems: evidence from Europe and North America," Journal of Transport Geography, Elsevier, vol. 31(C), pages 94-103.
    16. Xiaohan Li & Yang Lv & Md Nazirul Islam Sarker & Xun Zeng, 2022. "Assessment of Critical Diffusion Factors of Public–Private Partnership and Social Policy: Evidence from Mainland Prefecture-Level Cities in China," Land, MDPI, vol. 11(3), pages 1-15, February.
    17. Walker, Jack L., 1969. "The Diffusion of Innovations among the American States," American Political Science Review, Cambridge University Press, vol. 63(3), pages 880-899, November.
    18. He, Ke & Zhang, Junbiao & Zeng, Yangmei, 2018. "Rural households' willingness to accept compensation for energy utilization of crop straw in China," Energy, Elsevier, vol. 165(PA), pages 562-571.
    19. Patience Afi Seglah & Yajing Wang & Hongyan Wang & Yuyun Bi, 2019. "Estimation and Efficient Utilization of Straw Resources in Ghana," Sustainability, MDPI, vol. 11(15), pages 1-25, August.
    20. Song, Qijiao & Qin, Ming & Wang, Ruichen & Qi, Ye, 2020. "How does the nested structure affect policy innovation?: Empirical research on China's low carbon pilot cities," Energy Policy, Elsevier, vol. 144(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. Xiaohan Li & Yang Lv & Md Nazirul Islam Sarker & Xun Zeng, 2022. "Assessment of Critical Diffusion Factors of Public–Private Partnership and Social Policy: Evidence from Mainland Prefecture-Level Cities in China," Land, MDPI, vol. 11(3), pages 1-15, February.
    2. Felix Strebel & Thomas Widmer, 2012. "Visibility and facticity in policy diffusion: going beyond the prevailing binarity," Policy Sciences, Springer;Society of Policy Sciences, vol. 45(4), pages 385-398, December.
    3. Evan M. Mistur & John Wagner Givens & Daniel C. Matisoff, 2023. "Contagious COVID‐19 policies: Policy diffusion during times of crisis," Review of Policy Research, Policy Studies Organization, vol. 40(1), pages 36-62, January.
    4. Derek Glasgow & Shuang Zhao & Saatvika Rai, 2021. "Rethinking Climate Change Leadership: An Analysis of the Ambitiousness of State GHG Targets," Review of Policy Research, Policy Studies Organization, vol. 38(4), pages 398-426, July.
    5. Nico Heiden & Felix Strebel, 2012. "What about non-diffusion? The effect of competitiveness in policy-comparative diffusion research," Policy Sciences, Springer;Society of Policy Sciences, vol. 45(4), pages 345-358, December.
    6. Brian Y. An & Adam Butz & Min-Kyeong Cha & Joshua L. Mitchell, 2023. "Following neighbors or regional leaders? Unpacking the effect of geographic proximity in local climate policy diffusion," Policy Sciences, Springer;Society of Policy Sciences, vol. 56(4), pages 825-868, December.
    7. Valente, Thomas W. & Pitts, Stephanie & Wipfli, Heather & Vega Yon, George G., 2019. "Network influences on policy implementation: Evidence from a global health treaty," Social Science & Medicine, Elsevier, vol. 222(C), pages 188-197.
    8. Nadiya Kostyuk, 2024. "Allies and diffusion of state military cybercapacity," Journal of Peace Research, Peace Research Institute Oslo, vol. 61(1), pages 44-58, January.
    9. Côme Billard & Anna Creti & Antoine Mandel, 2020. "How Environmental Policies Spread? A Network Approach to Diffusion in the U.S," Working Papers 2020.12, FAERE - French Association of Environmental and Resource Economists.
    10. Fabrizio Gilardi, 2010. "Who Learns from What in Policy Diffusion Processes?," American Journal of Political Science, John Wiley & Sons, vol. 54(3), pages 650-666, July.
    11. Lutter, Mark, 2011. "The adoption of lotteries in the United States, 1964 - 2007. A model of conditional and time-dynamical diffusion," MPIfG Discussion Paper 11/4, Max Planck Institute for the Study of Societies.
    12. Geiguen Shin & Jeremy L. Hall, 2018. "Exploring the Influence of Federal Welfare Expenditures on State-Level New Economy Development Performance: Drawing From the Diffusion of Innovation Theory," Economic Development Quarterly, , vol. 32(3), pages 242-256, August.
    13. Charles R. Shipan & Craig Volden, 2008. "The Mechanisms of Policy Diffusion," American Journal of Political Science, John Wiley & Sons, vol. 52(4), pages 840-857, October.
    14. Amy Y. Li, 2017. "Covet Thy Neighbor or “Reverse Policy Diffusion”? State Adoption of Performance Funding 2.0," Research in Higher Education, Springer;Association for Institutional Research, vol. 58(7), pages 746-771, November.
    15. Saatvika Rai, 2020. "Policy Adoption and Policy Intensity: Emergence of Climate Adaptation Planning in U.S. States," Review of Policy Research, Policy Studies Organization, vol. 37(4), pages 444-463, July.
    16. Kaveh Rashidi & Anthony Patt, 2018. "Subsistence over symbolism: the role of transnational municipal networks on cities’ climate policy innovation and adoption," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 23(4), pages 507-523, April.
    17. Jean-Robert Tyran & Rupert Sausgruber, 2005. "The diffusion of policy innovations -an experimental investigation," Journal of Evolutionary Economics, Springer, vol. 15(4), pages 423-442, October.
    18. Zhirong Zhao, 2005. "Motivations, Obstacles, and Resources: The Adoption Of The General-Purpose Local Option Sales Tax in Georgia Counties," Public Finance Review, , vol. 33(6), pages 721-746, November.
    19. Armin Mertens & Christine Trampusch & Florian Fastenrath & Rebecca Wangemann, 2021. "The political economy of local government financialization and the role of policy diffusion," Regulation & Governance, John Wiley & Sons, vol. 15(2), pages 370-387, April.
    20. Strebel, Felix, 2011. "Inter-governmental institutions as promoters of energy policy diffusion in a federal setting," Energy Policy, Elsevier, vol. 39(1), pages 467-476, January.

    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:jijerp:v:20:y:2023:i:5:p:3939-:d:1077424. 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.