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Research on the path to improve the level of straw resource utilization: taking Shandong Province as an example

Author

Listed:
  • Shuo Yang

    (Shandong University)

  • Yuan Xu

    (Shandong University)

  • Qingsong Wang

    (Shandong University)

  • Yujie Zhang

    (Shandong University)

  • Shu Tian

    (Shandong University)

  • Yue Xu

    (Shandong University)

  • Haichao Ma

    (Shandong University)

  • Xueliang Yuan

    (Shandong University)

  • Qiao Ma

    (Shandong University)

  • Huibin Zhang

    (Shandong University)

  • Zhaopeng Xu

    (Shandong University)

Abstract

How to promote the rapid development of the use of straw resources in China has become one of the important ways to achieve high-quality development in society. This paper adopts econometric methods and takes Shandong Province as the research object to build a set of “financial expenditure—intermediate path—straw resource utilization level” promotion path methodology system, aiming to consider the impact intensity of financial expenditure (as an important means for the government to stimulate the development of straw resource industry) on straw resource utilization level through different paths. The results show that the impact of the two intermediate paths of the development level of waste resources and the development level of infrastructure development are the most obvious. For every 1% increase in fiscal expenditure, the utilization level of straw resources will increase by 2.693% and 2.437%, respectively. The financial expenditure has a positive impact on the level of straw resource utilization through education level, agricultural development foundation, energy conservation and environmental protection investment, and innovative R&D investment, that is to say, the financial expenditure through the above paths is of positive significance for improving the level of straw resource utilization. Among them, the path with the lowest impact intensity is innovation R&D investment, and it is suggested that innovation R&D investment should be inclined to straw utilization technology. The above conclusions can provide scientific theoretical guidance for the further improvement in the utilization level of straw resources in Shandong Province, and also provide reference for the government departments when formulating industrial adjustment plans.

Suggested Citation

  • Shuo Yang & Yuan Xu & Qingsong Wang & Yujie Zhang & Shu Tian & Yue Xu & Haichao Ma & Xueliang Yuan & Qiao Ma & Huibin Zhang & Zhaopeng Xu, 2023. "Research on the path to improve the level of straw resource utilization: taking Shandong Province as an example," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(11), pages 12167-12187, November.
    • Handle: RePEc:spr:endesu:v:25:y:2023:i:11:d:10.1007_s10668-023-03119-x
    DOI: 10.1007/s10668-023-03119-x
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    References listed on IDEAS

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    1. Lin, Boqiang & Zhu, Junpeng, 2019. "Fiscal spending and green economic growth: Evidence from China," Energy Economics, Elsevier, vol. 83(C), pages 264-271.
    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. Wang, Zhanwu & Wang, Zhenfeng & Tahir, Nadeem & Wang, Heng & Li, Jin & Xu, Guangyin, 2020. "Study of synergetic development in straw power supply chain: Straw price and government subsidy as incentive," Energy Policy, Elsevier, vol. 146(C).
    4. Jiaguo Liu & Jinxia Zhou & Fan Liu & Xiaohang Yue & Yudan Kong & Xiaoye Wang, 2019. "Interaction Analysis and Sustainable Development Strategy between Port and City: The Case of Liaoning," Sustainability, MDPI, vol. 11(19), pages 1-25, September.
    5. Kannan, R., 2009. "Uncertainties in key low carbon power generation technologies - Implication for UK decarbonisation targets," Applied Energy, Elsevier, vol. 86(10), pages 1873-1886, October.
    6. Jiang, Like & Chen, Haibo & Chen, Zhiyang, 2022. "City readiness for connected and autonomous vehicles: A multi-stakeholder and multi-criteria analysis through analytic hierarchy process," Transport Policy, Elsevier, vol. 128(C), pages 13-24.
    7. Prespa Ymeri & Csaba Gyuricza & Csaba Fogarassy, 2020. "Farmers’ Attitudes Towards the Use of Biomass as Renewable Energy—A Case Study from Southeastern Europe," Sustainability, MDPI, vol. 12(10), pages 1-18, May.
    8. De Marinis, Pietro & Sali, Guido, 2020. "Participatory analytic hierarchy process for resource allocation in agricultural development projects," Evaluation and Program Planning, Elsevier, vol. 80(C).
    9. Qingsong Wang & Zhaopeng Xu & Qian Yuan & Xueliang Yuan & Jian Zuo & Yizhi Song & Mansen Wang, 2020. "Evaluation and countermeasures of sustainable development for urban energy‐economy‐environment system: A case study of Jinan in China," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(6), pages 1663-1677, November.
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