IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v25y2023i11d10.1007_s10668-023-03119-x.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-023-03119-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10668-023-03119-x?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. 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.
    2. Lin, Boqiang & Zhu, Junpeng, 2019. "Fiscal spending and green economic growth: Evidence from China," Energy Economics, Elsevier, vol. 83(C), pages 264-271.
    3. 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).
    4. 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.
    5. 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.
    6. 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.
    7. 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).
    8. 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.
    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. Lin, Boqiang & Zhou, Yicheng, 2021. "How does vertical fiscal imbalance affect the upgrading of industrial structure? Empirical evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    2. Wenyao Guo & Xianzhong Mu, 2022. "Identification of Cities in Underdeveloped Resource-Rich Areas and Its Sustainable Development: Evidence from China," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
    3. Zhu, Junpeng & Lin, Boqiang, 2022. "Resource dependence, market-oriented reform, and industrial transformation: Empirical evidence from Chinese cities," Resources Policy, Elsevier, vol. 78(C).
    4. Kinoshita, Tsuguki & Ohki, Takashi & Yamagata, Yoshiki, 2010. "Woody biomass supply potential for thermal power plants in Japan," Applied Energy, Elsevier, vol. 87(9), pages 2923-2927, September.
    5. Chaudry, Modassar & Abeysekera, Muditha & Hosseini, Seyed Hamid Reza & Jenkins, Nick & Wu, Jianzhong, 2015. "Uncertainties in decarbonising heat in the UK," Energy Policy, Elsevier, vol. 87(C), pages 623-640.
    6. Zhang, Shengling & Wang, Yao & Hao, Yu & Liu, Zhiwei, 2021. "Shooting two hawks with one arrow: Could China's emission trading scheme promote green development efficiency and regional carbon equality?," Energy Economics, Elsevier, vol. 101(C).
    7. Assem Urekeshova & Zhibek Rakhmetulina & Igor Dubina & Sergey Evgenievich Barykin & Angela Bahauovna Mottaeva & Shakizada Uteulievna Niyazbekova, 2023. "The Impact of Digital Finance on Clean Energy and Green Bonds through the Dynamics of Spillover," International Journal of Energy Economics and Policy, Econjournals, vol. 13(2), pages 441-452, March.
    8. Weixiang Zhao & Yankun Xu, 2022. "Public Expenditure and Green Total Factor Productivity: Evidence from Chinese Prefecture-Level Cities," IJERPH, MDPI, vol. 19(9), pages 1-27, May.
    9. Stanisław Bielski & Renata Marks-Bielska & Anna Zielińska-Chmielewska & Kęstutis Romaneckas & Egidijus Šarauskis, 2021. "Importance of Agriculture in Creating Energy Security—A Case Study of Poland," Energies, MDPI, vol. 14(9), pages 1-20, April.
    10. Yong Zeng & Yanpeng Cai & Guohe Huang & Jing Dai, 2011. "A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty," Energies, MDPI, vol. 4(10), pages 1-33, October.
    11. Ashina, Shuichi & Fujino, Junichi & Masui, Toshihiko & Ehara, Tomoki & Hibino, Go, 2012. "A roadmap towards a low-carbon society in Japan using backcasting methodology: Feasible pathways for achieving an 80% reduction in CO2 emissions by 2050," Energy Policy, Elsevier, vol. 41(C), pages 584-598.
    12. Avinash Vijay & Adam Hawkes, 2017. "The Techno-Economics of Small-Scale Residential Heating in Low Carbon Futures," Energies, MDPI, vol. 10(11), pages 1-23, November.
    13. Cao, M.F. & Huang, G.H. & Lin, Q.G., 2010. "Integer programming with random-boundary intervals for planning municipal power systems," Applied Energy, Elsevier, vol. 87(8), pages 2506-2516, August.
    14. Anandarajah, Gabrial & Strachan, Neil, 2010. "Interactions and implications of renewable and climate change policy on UK energy scenarios," Energy Policy, Elsevier, vol. 38(11), pages 6724-6735, November.
    15. Onifade, Temitope Tunbi, 2016. "Hybrid renewable energy support policy in the power sector: The contracts for difference and capacity market case study," Energy Policy, Elsevier, vol. 95(C), pages 390-401.
    16. Yunyan Jiang & Feng Deng, 2022. "Multi-Dimensional Threshold Effects of the Digital Economy on Green Economic Growth?—New Evidence from China," Sustainability, MDPI, vol. 14(19), pages 1-22, October.
    17. Procesi, M. & Cantucci, B. & Buttinelli, M. & Armezzani, G. & Quattrocchi, F. & Boschi, E., 2013. "Strategic use of the underground in an energy mix plan: Synergies among CO2, CH4 geological storage and geothermal energy. Latium Region case study (Central Italy)," Applied Energy, Elsevier, vol. 110(C), pages 104-131.
    18. Wang, Lin & Dilanchiev, Azer & Haseeb, Mohammad, 2022. "The environmental regulation and policy assessment effect on the road to green recovery transformation," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 914-929.
    19. Du, Mengfan & Zhang, Yue-Jun, 2023. "The impact of producer services agglomeration on green economic development: Evidence from 278 Chinese cities," Energy Economics, Elsevier, vol. 124(C).
    20. Ge, Tao & Li, Chunying & Li, Jinye & Hao, Xionglei, 2023. "Does neighboring green development benefit or suffer from local economic growth targets? Evidence from China," Economic Modelling, Elsevier, vol. 120(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:spr:endesu:v:25:y:2023:i:11:d:10.1007_s10668-023-03119-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.