IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i17p7731-d1472087.html
   My bibliography  Save this article

Green Finance and Industrial Low-Carbon Transition: A Case Study on Green Economy Policy in Kazakhstan

Author

Listed:
  • Garafutdinova Daniya

    (School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China)

  • Decai Tang

    (School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China)

Abstract

The transition to a low-carbon (LC) economy is a major challenge for governments around the world. This article aims to investigate the most effective market and governmental initiatives to facilitate the industrial sector’s shift to a less carbon-intensive economy. According to our analysis, the Green Economy Policy (GEP) has the potential to reduce industry carbon emissions (CEs) in some areas by promoting energy transition, rather than focusing on developing short-term reduction methods. We found that the GEP decreased pilot sites’ industrial carbon intensity (CI) by an average of 7.88%, and this reduction persisted after many robustness checks. The favorable impact of the GEP differs based on population size (large and small populations) and geographic location (eastern, central, western, northern, and southern regions). Also, it is critical to emphasize how crucial green financing (GF) is to ease the energy transition.

Suggested Citation

  • Garafutdinova Daniya & Decai Tang, 2024. "Green Finance and Industrial Low-Carbon Transition: A Case Study on Green Economy Policy in Kazakhstan," Sustainability, MDPI, vol. 16(17), pages 1-23, September.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:17:p:7731-:d:1472087
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/17/7731/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/17/7731/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yang, Rui & Liu, Hui & Nikitas, Nikolaos & Duan, Zhu & Li, Yanfei & Li, Ye, 2022. "Short-term wind speed forecasting using deep reinforcement learning with improved multiple error correction approach," Energy, Elsevier, vol. 239(PB).
    2. York, Richard & Rosa, Eugene A. & Dietz, Thomas, 2003. "STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts," Ecological Economics, Elsevier, vol. 46(3), pages 351-365, October.
    3. Aldashev, Gani & Guirkinger, Catherine, 2017. "Colonization and changing social structure: Evidence from Kazakhstan," Journal of Development Economics, Elsevier, vol. 127(C), pages 413-430.
    4. Tan, Sieting & Yang, Jin & Yan, Jinyue & Lee, Chewtin & Hashim, Haslenda & Chen, Bin, 2017. "A holistic low carbon city indicator framework for sustainable development," Applied Energy, Elsevier, vol. 185(P2), pages 1919-1930.
    5. Diana T. Kudaibergenova, 2016. "The Use and Abuse of Postcolonial Discourses in Post-independent Kazakhstan," Europe-Asia Studies, Taylor & Francis Journals, vol. 68(5), pages 917-935, May.
    6. Andrew K. Jorgenson & Shirley Fiske & Klaus Hubacek & Jia Li & Tom McGovern & Torben Rick & Juliet B. Schor & William Solecki & Richard York & Ariela Zycherman, 2019. "Social science perspectives on drivers of and responses to global climate change," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 10(1), January.
    7. Liu, Xiaoping & Ou, Jinpei & Chen, Yimin & Wang, Shaojian & Li, Xia & Jiao, Limin & Liu, Yaolin, 2019. "Scenario simulation of urban energy-related CO2 emissions by coupling the socioeconomic factors and spatial structures," Applied Energy, Elsevier, vol. 238(C), pages 1163-1178.
    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. Rasool, Samma Faiz & Zaman, Shah & Jehan, Noor & Chin, Tachia & Khan, Saleem & Zaman, Qamar uz, 2022. "Investigating the role of the tech industry, renewable energy, and urbanization in sustainable environment: Policy directions in the context of developing economies," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    2. Claudia García-García & Catalina B. García-García & Román Salmerón, 2021. "Confronting collinearity in environmental regression models: evidence from world data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(3), pages 895-926, September.
    3. Schlör, Holger & Venghaus, Sandra & Hake, Jürgen-Friedrich, 2018. "The FEW-Nexus city index – Measuring urban resilience," Applied Energy, Elsevier, vol. 210(C), pages 382-392.
    4. Ren, Siyu & Hao, Yu & Xu, Lu & Wu, Haitao & Ba, Ning, 2021. "Digitalization and energy: How does internet development affect China's energy consumption?," Energy Economics, Elsevier, vol. 98(C).
    5. Fan, Fei & Dai, Shangze & Yang, Bo & Ke, Haiqian, 2023. "Urban density, directed technological change, and carbon intensity: An empirical study based on Chinese cities," Technology in Society, Elsevier, vol. 72(C).
    6. Nicole Grunewald & Inmaculada Martínez-Zarzoso, 2009. "Driving Factors of Carbon Dioxide Emissions and the Impact from Kyoto Protocol," Ibero America Institute for Econ. Research (IAI) Discussion Papers 190, Ibero-America Institute for Economic Research.
    7. Juan Antonio Duro & Jordi Teixidó-Figueras & Emilio Padilla, 2017. "The Causal Factors of International Inequality in $$\hbox {CO}_{2}$$ CO 2 Emissions Per Capita: A Regression-Based Inequality Decomposition Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 67(4), pages 683-700, August.
    8. Lei Gao & Taowu Pei & Jingran Zhang & Yu Tian, 2022. "The “Pollution Halo” Effect of FDI: Evidence from the Chinese Sichuan–Chongqing Urban Agglomeration," IJERPH, MDPI, vol. 19(19), pages 1-17, September.
    9. Saikku, Laura & Rautiainen, Aapo & Kauppi, Pekka E., 2008. "The sustainability challenge of meeting carbon dioxide targets in Europe by 2020," Energy Policy, Elsevier, vol. 36(2), pages 730-742, February.
    10. Liddle, Brantley, 2013. "Population, Affluence, and Environmental Impact Across Development: Evidence from Panel Cointegration Modeling," MPRA Paper 52088, University Library of Munich, Germany.
    11. Ling Xiong & Shaozhou Qi, 2018. "Financial Development And Carbon Emissions In Chinese Provinces: A Spatial Panel Data Analysis," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 63(02), pages 447-464, March.
    12. Zhenxiang Cao & Liqing Peng, 2023. "The Impact of Digital Economics on Environmental Quality: A System Dynamics Approach," SAGE Open, , vol. 13(4), pages 21582440231, December.
    13. Xi Liu & Yugang He & Renhong Wu, 2024. "Revolutionizing Environmental Sustainability: The Role of Renewable Energy Consumption and Environmental Technologies in OECD Countries," Energies, MDPI, vol. 17(2), pages 1-21, January.
    14. Casey, Gregory & Galor, Oded, 2017. "Is faster economic growth compatible with reductions in carbon emissions? The role of diminished population growth," MPRA Paper 76164, University Library of Munich, Germany.
    15. Aihua Wang & Qiqi Ruan & Teng Zhou & Yanzhen Wang, 2022. "Digitizable Product Trade Development and Carbon Emission: Evidence from 94 Countries," Sustainability, MDPI, vol. 14(22), pages 1-15, November.
    16. Liu, Xingjian & Wang, Mingshu & Qiang, Wei & Wu, Kang & Wang, Xiaomi, 2020. "Urban form, shrinking cities, and residential carbon emissions: Evidence from Chinese city-regions," Applied Energy, Elsevier, vol. 261(C).
    17. Hu, Zongyi & Tang, Liwei, 2013. "Exploring the relation between urbanization and residential CO2 emissions in China: a PTR approach," MPRA Paper 55379, University Library of Munich, Germany.
    18. Adnan Khurshid & Abdur Rauf & Sadia Qayyum & Adrian Cantemir Calin & WenQi Duan, 2023. "Green innovation and carbon emissions: the role of carbon pricing and environmental policies in attaining sustainable development targets of carbon mitigation—evidence from Central-Eastern Europe," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8777-8798, August.
    19. Ahmed, Khalid, 2015. "The sheer scale of China’s urban renewal and CO2 emissions: Multiple structural breaks, long-run relationship and short-run dynamics," MPRA Paper 71035, University Library of Munich, Germany.
    20. Haiqian Ke & Wenyi Yang & Xiaoyang Liu & Fei Fan, 2020. "Does Innovation Efficiency Suppress the Ecological Footprint? Empirical Evidence from 280 Chinese Cities," IJERPH, MDPI, vol. 17(18), pages 1-23, September.

    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:jsusta:v:16:y:2024:i:17:p:7731-:d:1472087. 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.