IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i15p8665-d607648.html
   My bibliography  Save this article

The Impacts of Technology Shocks on Sustainable Development from the Perspective of Energy Structure—A DSGE Model Approach

Author

Listed:
  • Dongqing Sun

    (School of Economics, Lanzhou University, Lanzhou 730000, China)

  • Fanzhi Wang

    (School of Finance, Central University of Finance and Economics, Beijing 100081, China)

  • Nanxu Chen

    (School of Economics, Lanzhou University, Lanzhou 730000, China)

  • Jing Chen

    (Applied Statistics, Syracuse University, Syracuse, NY 13244, USA)

Abstract

Considering that the effect of different types of energy on sustainable development differs, the optimization of energy structure is commonly seen as a decisive factor for sustainable development. In this study, we focus on energy structure and construct a dynamic stochastic general equilibrium (DSGE) analysis framework including the environment, society, and the economy. Furthermore, we analyze the effect of different technology shocks on sustainable development when the proportion of clean energy is separately set at 10%, 20%, and 40%. To demonstrate the conclusions of the DSGE analysis framework, we construct the sustainability index and measure the relationship between the sustainability index scores and the proportion of clean energy of 68 countries in 2017, and the R 2 of the linear relationship between the sustainability index score and the proportion of clean energy was 0.30. Results show that the technology shock of clean energy exhibits more benefits for sustainable development than that of non-clean energy. Moreover, we find that the optimization of the energy structure can be helpful for the enhancement of sustainable development capacity. This study is helpful to expand the DSGE analysis framework from the perspective of energy structure. This study also provides effective ways and reference suggestions for local governments to optimize energy structure and improve sustainable development capability.

Suggested Citation

  • Dongqing Sun & Fanzhi Wang & Nanxu Chen & Jing Chen, 2021. "The Impacts of Technology Shocks on Sustainable Development from the Perspective of Energy Structure—A DSGE Model Approach," Sustainability, MDPI, vol. 13(15), pages 1-20, August.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:15:p:8665-:d:607648
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/15/8665/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/15/8665/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ying Tung Chan, 2019. "The Environmental Impacts and Optimal Environmental Policies of Macroeconomic Uncertainty Shocks: A Dynamic Model Approach," Sustainability, MDPI, vol. 11(18), pages 1-26, September.
    2. Konstantinos Angelopoulos & George Economides & Apostolis Philippopoulos, 2010. "What is the best environmental policy?Taxes, permits and rules under economic and environmental uncertainty," Working Papers 119, Bank of Greece.
    3. Ceren Erdin & Gokhan Ozkaya, 2019. "Turkey’s 2023 Energy Strategies and Investment Opportunities for Renewable Energy Sources: Site Selection Based on ELECTRE," Sustainability, MDPI, vol. 11(7), pages 1-23, April.
    4. Wang, Zheng & Zhu, Yanshuo & Zhu, Yongbin & Shi, Ying, 2016. "Energy structure change and carbon emission trends in China," Energy, Elsevier, vol. 115(P1), pages 369-377.
    5. Common, Mick & Perrings, Charles, 1992. "Towards an ecological economics of sustainability," Ecological Economics, Elsevier, vol. 6(1), pages 7-34, July.
    6. Yuriy Bilan & Dalia Streimikiene & Tetyana Vasylieva & Oleksii Lyulyov & Tetyana Pimonenko & Anatolii Pavlyk, 2019. "Linking between Renewable Energy, CO 2 Emissions, and Economic Growth: Challenges for Candidates and Potential Candidates for the EU Membership," Sustainability, MDPI, vol. 11(6), pages 1-16, March.
    7. Omer, Abdeen Mustafa, 2008. "Energy, environment and sustainable development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(9), pages 2265-2300, December.
    8. Brijesh Mainali & Jyrki Luukkanen & Semida Silveira & Jari Kaivo-oja, 2018. "Evaluating Synergies and Trade-Offs among Sustainable Development Goals (SDGs): Explorative Analyses of Development Paths in South Asia and Sub-Saharan Africa," Sustainability, MDPI, vol. 10(3), pages 1-25, March.
    9. Manfren, Massimiliano & Nastasi, Benedetto & Groppi, Daniele & Astiaso Garcia, Davide, 2020. "Open data and energy analytics - An analysis of essential information for energy system planning, design and operation," Energy, Elsevier, vol. 213(C).
    10. Ozturk, Murat & Yuksel, Yunus Emre, 2016. "Energy structure of Turkey for sustainable development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1259-1272.
    11. Amedeo Argentiero, Tarek Atalla, Simona Bigerna, Silvia Micheli, and Paolo Polinori, 2017. "Comparing Renewable Energy Policies in EU-15, U.S. and China: A Bayesian DSGE Model," The Energy Journal, International Association for Energy Economics, vol. 0(KAPSARC S).
    12. Xiao, Bowen & Fan, Ying & Guo, Xiaodan, 2018. "Exploring the macroeconomic fluctuations under different environmental policies in China: A DSGE approach," Energy Economics, Elsevier, vol. 76(C), pages 439-456.
    13. Benedetto Nastasi & Massimiliano Manfren & Michel Noussan, 2020. "Open Data and Energy Analytics," Energies, MDPI, vol. 13(9), pages 1-3, May.
    14. Festus Fatai Adedoyin & Nnamdi Nwulu & Festus Victor Bekun, 2021. "Environmental degradation, energy consumption and sustainable development: Accounting for the role of economic complexities with evidence from World Bank income clusters," Business Strategy and the Environment, Wiley Blackwell, vol. 30(5), pages 2727-2740, July.
    15. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-1370, November.
    16. Unknown, 2016. "Energy for Sustainable Development," Conference Proceedings 253270, Guru Arjan Dev Institute of Development Studies (IDSAsr).
    17. Cambero, Claudia & Sowlati, Taraneh, 2014. "Assessment and optimization of forest biomass supply chains from economic, social and environmental perspectives – A review of literature," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 62-73.
    18. Kevin J. Stiroh & Dale W. Jorgenson, 2000. "U.S. Economic Growth at the Industry Level," American Economic Review, American Economic Association, vol. 90(2), pages 161-167, May.
    19. Niu, Tong & Yao, Xilong & Shao, Shuai & Li, Ding & Wang, Wenxi, 2018. "Environmental tax shocks and carbon emissions: An estimated DSGE model," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 9-17.
    20. Balke, Nathan S. & Brown, Stephen P.A., 2018. "Oil supply shocks and the U.S. economy: An estimated DSGE model," Energy Policy, Elsevier, vol. 116(C), pages 357-372.
    21. Stamatios Ntanos & Grigorios Kyriakopoulos & Miltiadis Chalikias & Garyfallos Arabatzis & Michalis Skordoulis & Spyros Galatsidas & Dimitrios Drosos, 2018. "A Social Assessment of the Usage of Renewable Energy Sources and Its Contribution to Life Quality: The Case of an Attica Urban Area in Greece," Sustainability, MDPI, vol. 10(5), pages 1-15, May.
    22. Nallapaneni Manoj Kumar & Shauhrat S. Chopra & Aneesh A. Chand & Rajvikram Madurai Elavarasan & G.M. Shafiullah, 2020. "Hybrid Renewable Energy Microgrid for a Residential Community: A Techno-Economic and Environmental Perspective in the Context of the SDG7," Sustainability, MDPI, vol. 12(10), pages 1-30, May.
    23. Živković, Snežana B. & Veljković, Milan V. & Banković-Ilić, Ivana B. & Krstić, Ivan M. & Konstantinović, Sandra S. & Ilić, Slavica B. & Avramović, Jelena M. & Stamenković, Olivera S. & Veljković, Vlad, 2017. "Technological, technical, economic, environmental, social, human health risk, toxicological and policy considerations of biodiesel production and use," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 222-247.
    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. Busato, Francesco & Chiarini, Bruno & Cisco, Gianluigi & Ferrara, Maria, 2021. "Greta Thunberg effect and Business Cycle Dynamics: A DSGE model," MPRA Paper 110141, University Library of Munich, Germany.
    2. Zhang, Yanfang & Gao, Qi & Wei, Jinpeng & Shi, Xunpeng & Zhou, Dequn, 2023. "Can China's energy-consumption permit trading scheme achieve the “Porter” effect? Evidence from an estimated DSGE model," Energy Policy, Elsevier, vol. 180(C).
    3. Francesco Busato & Bruno Chiarini & Gianluigi Cisco & Maria Ferrara, 2023. "Green preferences," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(4), pages 3211-3253, April.
    4. Huang, Bihong & Punzi, Maria Teresa & Wu, Yu, 2021. "Do banks price environmental transition risks? Evidence from a quasi-natural experiment in China," Journal of Corporate Finance, Elsevier, vol. 69(C).
    5. Zhengge Tu & Botao Liu & Dian Jin & Wei Wei & Jiayang Kong, 2022. "The Effect of Carbon Emission Taxes on Environmental and Economic Systems," IJERPH, MDPI, vol. 19(6), pages 1-16, March.
    6. Yang, Chuxiao & Hao, Yu & Irfan, Muhammad, 2021. "Energy consumption structural adjustment and carbon neutrality in the post-COVID-19 era," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 442-453.
    7. Wang, Ren & Hou, Jie & Jiang, Zhujun, 2021. "Environmental policies with financing constraints in China," Energy Economics, Elsevier, vol. 94(C).
    8. Nallapaneni Manoj Kumar & Aneesh A. Chand & Maria Malvoni & Kushal A. Prasad & Kabir A. Mamun & F.R. Islam & Shauhrat S. Chopra, 2020. "Distributed Energy Resources and the Application of AI, IoT, and Blockchain in Smart Grids," Energies, MDPI, vol. 13(21), pages 1-42, November.
    9. Niu, Tong & Yao, Xilong & Shao, Shuai & Li, Ding & Wang, Wenxi, 2018. "Environmental tax shocks and carbon emissions: An estimated DSGE model," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 9-17.
    10. Ren Wang & Yuxiang Bian & Han Gao & Jie Hou, 2023. "Optimal Environmental Policy for Heterogeneous Governments in China," IJERPH, MDPI, vol. 20(4), pages 1-12, February.
    11. Chan, Ying Tung & Zhao, Hong, 2023. "Optimal carbon tax rates in a dynamic stochastic general equilibrium model with a supply chain," Economic Modelling, Elsevier, vol. 119(C).
    12. Coenen, Günter & Lozej, Matija & Priftis, Romanos, 2023. "Macroeconomic Effects of Carbon Transition Policies: An Assessment Based on the ECB’s New Area-Wide Model with a Disaggregated Energy Sector," Research Technical Papers 8/RT/23, Central Bank of Ireland.
    13. Huang, Bihong & Punzi, Maria Teresa & Wu, Yu, 2022. "Environmental regulation and financial stability: Evidence from Chinese manufacturing firms," Journal of Banking & Finance, Elsevier, vol. 136(C).
    14. Adamczyk, Janusz & Dylewski, Robert, 2017. "The impact of thermal insulation investments on sustainability in the construction sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 421-429.
    15. Zeng, Sheng & Su, Bin & Zhang, Minglong & Gao, Yuan & Liu, Jun & Luo, Song & Tao, Qingmei, 2021. "Analysis and forecast of China's energy consumption structure," Energy Policy, Elsevier, vol. 159(C).
    16. Hettinga, Sanne & van ’t Veer, Rein & Boter, Jaap, 2023. "Large scale energy labelling with models: The EU TABULA model versus machine learning with open data," Energy, Elsevier, vol. 264(C).
    17. Serhiy Lyeonov & Tetyana Pimonenko & Yuriy Bilan & Dalia Štreimikienė & Grzegorz Mentel, 2019. "Assessment of Green Investments’ Impact on Sustainable Development: Linking Gross Domestic Product Per Capita, Greenhouse Gas Emissions and Renewable Energy," Energies, MDPI, vol. 12(20), pages 1-12, October.
    18. Xiao-Li Gong & Jin-Yan Lu & Xiong Xiong & Wei Zhang, 2022. "Higher-order dynamic effects of uncertainty risk under thick-tailed stochastic volatility," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-22, December.
    19. Anelí Bongers, 2021. "Energy Efficiency, Emission Energy, and the Environment," Energy RESEARCH LETTERS, Asia-Pacific Applied Economics Association, vol. 1(1), pages 1-4.
    20. Hilario J. Torres-Herrera & Alexis Lozano-Medina, 2021. "Methodological Proposal for the Assessment Potential of Pumped Hydropower Energy Storage: Case of Gran Canaria Island," Energies, MDPI, vol. 14(12), pages 1-27, June.

    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:13:y:2021:i:15:p:8665-:d:607648. 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.