IDEAS home Printed from https://ideas.repec.org/a/wly/sustdv/v28y2020i5p1457-1464.html
   My bibliography  Save this article

Relationship between energy intensity and CO2 emissions: Does economic policy matter?

Author

Listed:
  • Danish
  • Recep Ulucak
  • Salah‐Ud‐Din Khan

Abstract

In an environment with economic policy uncertainty, the policies of energy efficiency are probably compromised due to weak regulation measures. Inconsistent economic policies may lead to higher energy consumption, which damages the environment. However, works of literature are silent on the role of economic policy uncertainty in carbon emission and energy nexus. Hence, the study is an attempt to investigate the role of economic policy uncertainty in the relationship between energy intensity and carbon dioxide (CO2) emissions in the United States by using annual data spanning from 1985 to 2017. A recent time series method proposed by Jordan and Philips (2018) is employed to get robust and consistent estimation results in the study. Empirical results reveal that (a) higher energy intensity contributes to pollution, (b) economic policy uncertainty adversely affects environmental quality, (c) economic policy uncertainty strengthens the detrimental effect of energy intensity on CO2 emissions.

Suggested Citation

  • Danish & Recep Ulucak & Salah‐Ud‐Din Khan, 2020. "Relationship between energy intensity and CO2 emissions: Does economic policy matter?," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(5), pages 1457-1464, September.
    • Handle: RePEc:wly:sustdv:v:28:y:2020:i:5:p:1457-1464
    DOI: 10.1002/sd.2098
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/sd.2098
    Download Restriction: no
    File URL: https://libkey.io/10.1002/sd.2098?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
    ---><---

    References listed on IDEAS

    as
    1. Soren Jordan & Andrew Q. Philips, 2018. "Cointegration testing and dynamic simulations of autoregressive distributed lag modelsJournal: Stata Journal," Stata Journal, StataCorp LP, vol. 18(4), pages 902-923, December.
    2. Khan, Hashmat & Metaxoglou, Konstantinos & Knittel, Christopher R. & Papineau, Maya, 2019. "Carbon emissions and business cycles," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 1-19.
    3. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    4. Bingjie Xu & Ruoyu Zhong & Gal Hochman & Kangyin Dong, 2019. "The environmental consequences of fossil fuels in China: National and regional perspectives," Sustainable Development, John Wiley & Sons, Ltd., vol. 27(5), pages 826-837, September.
    5. Dargahi, Hassan & Khameneh, Kazem Biabany, 2019. "Energy intensity determinants in an energy-exporting developing economy: Case of Iran," Energy, Elsevier, vol. 168(C), pages 1031-1044.
    6. Gozgor, Giray & Tiwari, Aviral Kumar & Khraief, Naceur & Shahbaz, Muhammad, 2019. "Dependence structure between business cycles and CO2 emissions in the U.S.: Evidence from the time-varying Markov-Switching Copula models," Energy, Elsevier, vol. 188(C).
    7. Shahbaz, muhammad & Solarin, Sakiru Adebola & Sbia, Rashid & Bibi, Sadia, 2015. "Does Energy Intensity Contribute to CO2 Emissions? A Trivariate Analysis in Selected African Countries," MPRA Paper 64335, University Library of Munich, Germany, revised 19 Mar 2015.
    8. Narayan, Paresh Kumar & Narayan, Seema, 2010. "Carbon dioxide emissions and economic growth: Panel data evidence from developing countries," Energy Policy, Elsevier, vol. 38(1), pages 661-666, January.
    9. Dehghan Shabani, Zahra & Shahnazi, Rouhollah, 2019. "Energy consumption, carbon dioxide emissions, information and communications technology, and gross domestic product in Iranian economic sectors: A panel causality analysis," Energy, Elsevier, vol. 169(C), pages 1064-1078.
    10. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    11. Wang, Zhaohua & Danish, & Zhang, Bin & Wang, Bo, 2018. "The moderating role of corruption between economic growth and CO2 emissions: Evidence from BRICS economies," Energy, Elsevier, vol. 148(C), pages 506-513.
    12. Pan, Xiongfeng & Uddin, Md. Kamal & Han, Cuicui & Pan, Xianyou, 2019. "Dynamics of financial development, trade openness, technological innovation and energy intensity: Evidence from Bangladesh," Energy, Elsevier, vol. 171(C), pages 456-464.
    13. Muhammad, Shahbaz & Adebola Solarin, Solarin & Ozturk, Ilhan, 2016. "Environmental Kuznets curve hypothesis and the role of globalization in selected African countries," MPRA Paper 69859, University Library of Munich, Germany, revised 04 Mar 2016.
    14. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    15. Shahiduzzaman, Md. & Layton, Allan, 2015. "Changes in CO2 emissions over business cycle recessions and expansions in the United States: A decomposition analysis," Applied Energy, Elsevier, vol. 150(C), pages 25-35.
    16. Chen, Zhongfei & Huang, Wanjing & Zheng, Xian, 2019. "The decline in energy intensity: Does financial development matter?," Energy Policy, Elsevier, vol. 134(C).
    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. Danish, & Ulucak, Recep, 2021. "Renewable energy, technological innovation and the environment: A novel dynamic auto-regressive distributive lag simulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    2. Pata, Ugur Korkut & Isik, Cem, 2021. "Determinants of the load capacity factor in China: A novel dynamic ARDL approach for ecological footprint accounting," Resources Policy, Elsevier, vol. 74(C).
    3. Shokoohi, Zeinab & Dehbidi, Navid Kargar & Tarazkar, Mohammad Hassan, 2022. "Energy intensity, economic growth and environmental quality in populous Middle East countries," Energy, Elsevier, vol. 239(PC).
    4. Abdul Rahim Ridzuan & Aliashim Albani & Abdul Rais Abdul Latiff & Mohamad Idham Md Razak & Mohd Haziq Murshidi, 2020. "The Impact of Energy Consumption based on Fossil Fuel and Hydroelectricity Generation towards Pollution in Malaysia, Indonesia and Thailand," International Journal of Energy Economics and Policy, Econjournals, vol. 10(1), pages 215-227.
    5. Hong, Junjie & Shi, Fangyuan & Zheng, Yuhan, 2023. "Does network infrastructure construction reduce energy intensity? Based on the “Broadband China” strategy," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    6. Xia, Wanjun & Murshed, Muntasir & Khan, Zeeshan & Chen, Zhenling & Ferraz, Diogo, 2022. "Exploring the nexus between fiscal decentralization and energy poverty for China: Does country risk matter for energy poverty reduction?," Energy, Elsevier, vol. 255(C).
    7. Hossain, Md. Emran & Islam, Md. Sayemul & Bandyopadhyay, Arunava & Awan, Ashar & Hossain, Mohammad Razib & Rej, Soumen, 2022. "Mexico at the crossroads of natural resource dependence and COP26 pledge: Does technological innovation help?," Resources Policy, Elsevier, vol. 77(C).
    8. Yang, Zhihao & Hong, Junjie, 2021. "Trade policy uncertainty and energy intensity: Evidence from Chinese industrial firms," Energy Economics, Elsevier, vol. 103(C).
    9. Abbasi, Kashif Raza & Hussain, Khadim & Haddad, Akram Masoud & Salman, Asma & Ozturk, Ilhan, 2022. "The role of Financial Development and Technological Innovation towards Sustainable Development in Pakistan: Fresh insights from consumption and territory-based emissions," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    10. Xiuqin Zhang & Xudong Shi & Yasir Khan & Majid Khan & Saba Naz & Taimoor Hassan & Chenchen Wu & Tahir Rahman, 2023. "The Impact of Energy Intensity, Energy Productivity and Natural Resource Rents on Carbon Emissions in Morocco," Sustainability, MDPI, vol. 15(8), pages 1-22, April.
    11. Soumen Rej & Barnali Nag & Md. Emran Hossain, 2022. "Can Renewable Energy and Export Help in Reducing Ecological Footprint of India? Empirical Evidence from Augmented ARDL Co-Integration and Dynamic ARDL Simulations," Sustainability, MDPI, vol. 14(23), pages 1-21, November.
    12. de Lucas-Santos, Sonia & Delgado-Rodríguez, María Jesús & Cabezas-Ares, Alfredo, 2021. "Cyclical convergence in per capita carbon dioxide emission in US states: A dynamic unobserved component approach," Energy, Elsevier, vol. 217(C).
    13. Maralgua Och, 2017. "Empirical Investigation of the Environmental Kuznets Curve Hypothesis for Nitrous Oxide Emissions for Mongolia," International Journal of Energy Economics and Policy, Econjournals, vol. 7(1), pages 117-128.
    14. Rasool Dehghanzadeh Shahabad & Mehmet Balcilar, 2022. "Modelling the Dynamic Interaction between Economic Policy Uncertainty and Commodity Prices in India: The Dynamic Autoregressive Distributed Lag Approach," Mathematics, MDPI, vol. 10(10), pages 1-21, May.
    15. Erdogan, Sinan & Fatai Adedoyin, Festus & Victor Bekun, Festus & Asumadu Sarkodie, Samuel, 2020. "Testing the transport-induced environmental Kuznets curve hypothesis: The role of air and railway transport," Journal of Air Transport Management, Elsevier, vol. 89(C).
    16. Charifa Haouraji & Badia Mounir & Ilham Mounir & Abdelmajid Farchi, 2021. "Exploring the Relationship between Residential CO 2 Emissions, Urbanization, Economic Growth, and Residential Energy Consumption: Evidence from the North Africa Region," Energies, MDPI, vol. 14(18), pages 1-19, September.
    17. Usama Al-Mulali & Sakiru Solarin & Ilhan Ozturk, 2016. "Investigating the presence of the environmental Kuznets curve (EKC) hypothesis in Kenya: an autoregressive distributed lag (ARDL) approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(3), pages 1729-1747, February.
    18. Ahmed, Walid M.A. & Sleem, Mohamed A.E., 2023. "Short- and long-run determinants of the price behavior of US clean energy stocks: A dynamic ARDL simulations approach," Energy Economics, Elsevier, vol. 124(C).
    19. Zafar Ullah Khan & Alam Khan & Dilawar Khan & Róbert Magda, 2023. "The Impact of Institutional Quality on Sectoral Foreign Direct Investment in Pakistan: A Dynamic Simulated ARDL Approach," Sustainability, MDPI, vol. 15(9), pages 1-16, April.
    20. Bouznit, Mohammed & Pablo-Romero, María del P., 2016. "CO2 emission and economic growth in Algeria," Energy Policy, Elsevier, vol. 96(C), pages 93-104.

    More about this item

    Statistics

    Access and download statistics

    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:wly:sustdv:v:28:y:2020:i:5:p:1457-1464. 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: Wiley Content Delivery (email available below). General contact details of provider: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1099-1719 .

    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.