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

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  • 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
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    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, September.
    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. Strumpf, Koleman S, 2002. "Does Government Decentralization Increase Policy Innovation?," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 4(2), pages 207-241.
    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, September.
    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).
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