IDEAS home Printed from https://ideas.repec.org/a/eee/ecanpo/v78y2023icp954-966.html
   My bibliography  Save this article

The politics of climate: Does factionalism impede U.S. carbon neutrality?

Author

Listed:
  • Qin, Meng
  • Su, Yun Hsuan
  • Zhao, Zhengtang
  • Mirza, Nawazish

Abstract

This investigation explores the interrelation between U.S. factionalism and carbon emissions and further studies whether factionalism impedes U.S. carbon neutrality. We utilise the bootstrap full-and sub-sample techniques to identify the dynamic correlation between U.S. partisan conflict (PC) and carbon dioxide emission per capita (PCO2). The conclusions reveal that positive and adverse impacts of PC on PCO2 exist. The positive effects point out fierce PC may discourage the implementation and credibility of climate policy and bring about substantial uncertainties, thereby raising PCO2, which indicates that factionalism could impede U.S. carbon neutrality. However, this idea cannot be held during the adverse influence, PCO2 moves in the opposite direction to PC primarily caused by the economic crisis. Conversely, there are positive effects from PCO2 to PC, emphasising that new climate policies triggered by high carbon emissions may deteriorate factionalism and vice versa. Against the backdrop that the climate issue has become a political tool for U.S. factionalism, these conclusions offer significative implications for the U.S., which should adopt a correct and scientific attitude toward global warming, as well as develop a coherent and consistent policy response to climate change, in order to achieve carbon neutrality target within commitment time.

Suggested Citation

  • Qin, Meng & Su, Yun Hsuan & Zhao, Zhengtang & Mirza, Nawazish, 2023. "The politics of climate: Does factionalism impede U.S. carbon neutrality?," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 954-966.
  • Handle: RePEc:eee:ecanpo:v:78:y:2023:i:c:p:954-966
    DOI: 10.1016/j.eap.2023.04.039
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0313592623000887
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eap.2023.04.039?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. Dumas, Marion & Rising, James & Urpelainen, Johannes, 2016. "Political competition and renewable energy transitions over long time horizons: A dynamic approach," Ecological Economics, Elsevier, vol. 124(C), pages 175-184.
    2. Su, Chi-Wei & Qin, Meng & Tao, Ran & Umar, Muhammad, 2020. "Financial implications of fourth industrial revolution: Can bitcoin improve prospects of energy investment?," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    3. Trachtman, Samuel, 2020. "What drives climate policy adoption in the U.S. states?," Energy Policy, Elsevier, vol. 138(C).
    4. Wang, Quan-Jing & Sun, Yi-Hong, 2022. "The impact of governmental ideology on forest preservation: Evidence from cross-country data," Land Use Policy, Elsevier, vol. 119(C).
    5. Pesaran, M. Hashem & Timmermann, Allan, 2005. "Small sample properties of forecasts from autoregressive models under structural breaks," Journal of Econometrics, Elsevier, vol. 129(1-2), pages 183-217.
    6. Meng Qin & Lian-Hong Qiu & Ran Tao & Muhammad Umar & Chi-Wei Su & Wen Jiao, 2020. "The inevitable role of El Niño: a fresh insight into the oil market," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 33(1), pages 1943-1962, January.
    7. Su, Chi-Wei & Qin, Meng & Tao, Ran & Shao, Xue-Feng & Albu, Lucian Liviu & Umar, Muhammad, 2020. "Can Bitcoin hedge the risks of geopolitical events?," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    8. Diaz-Rainey, Ivan & Gehricke, Sebastian A. & Roberts, Helen & Zhang, Renzhu, 2021. "Trump vs. Paris: The impact of climate policy on U.S. listed oil and gas firm returns and volatility," International Review of Financial Analysis, Elsevier, vol. 76(C).
    9. Potrafke, Niklas, 2017. "Partisan politics: The empirical evidence from OECD panel studies," Journal of Comparative Economics, Elsevier, vol. 45(4), pages 712-750.
    10. Atsu, Francis & Adams, Samuel, 2021. "Energy consumption, finance, and climate change: Does policy uncertainty matter?," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 490-501.
    11. Li, Boying & Zheng, Mingbo & Zhao, Xinxin & Chang, Chun-Ping, 2021. "An assessment of the effect of partisan ideology on shale gas production and the implications for environmental regulations," Economic Systems, Elsevier, vol. 45(3).
    12. Garmann, Sebastian, 2014. "Do government ideology and fragmentation matter for reducing CO2-emissions? Empirical evidence from OECD countries," Ecological Economics, Elsevier, vol. 105(C), pages 1-10.
    13. Andrews, Donald W K & Ploberger, Werner, 1994. "Optimal Tests When a Nuisance Parameter Is Present Only under the Alternative," Econometrica, Econometric Society, vol. 62(6), pages 1383-1414, November.
    14. Zeng, Qing & Ma, Feng & Lu, Xinjie & Xu, Weiju, 2022. "Policy uncertainty and carbon neutrality: Evidence from China," Finance Research Letters, Elsevier, vol. 47(PB).
    15. Qin, Meng & Su, Chi-Wei & Pirtea, Marilen Gabriel & Dumitrescu Peculea, Adelina, 2023. "The essential role of Russian geopolitics: A fresh perception into the gold market," Resources Policy, Elsevier, vol. 81(C).
    16. Qin, Meng & Su, Chi-Wei & Tao, Ran, 2021. "BitCoin: A new basket for eggs?," Economic Modelling, Elsevier, vol. 94(C), pages 896-907.
    17. Qin, Meng & Su, Chi-Wei & Tao, Ran & Umar, Muhammad, 2020. "Is factionalism a push for gold price?," Resources Policy, Elsevier, vol. 67(C).
    18. Qin, Meng & Zhang, Xiaojing & Li, Yameng & Badarcea, Roxana Maria, 2023. "Blockchain market and green finance: The enablers of carbon neutrality in China," Energy Economics, Elsevier, vol. 118(C).
    19. Apergis, Nicholas & Pinar, Mehmet, 2021. "The role of party polarization in renewable energy consumption: Fresh evidence across the EU countries," Energy Policy, Elsevier, vol. 157(C).
    20. Findley, David F, et al, 1998. "New Capabilities and Methods of the X-12-ARIMA Seasonal-Adjustment Program," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(2), pages 127-152, April.
    21. Baccini, Leonardo & Urpelainen, Johannes, 2012. "Legislative fractionalization and partisan shifts to the left increase the volatility of public energy R&D expenditures," LSE Research Online Documents on Economics 45571, London School of Economics and Political Science, LSE Library.
    22. Hansen, Bruce E, 2002. "Tests for Parameter Instability in Regressions with I(1) Processes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 45-59, January.
    23. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-856, July.
    24. Liu, Jin & Tian, Jiayu & Lyu, Wenjing & Yu, Yitian, 2022. "The impact of COVID-19 on reducing carbon emissions: From the angle of international student mobility," Applied Energy, Elsevier, vol. 317(C).
    25. Sautter, John A. & Sautter, Christopher A., 2010. "Price, Carbon and Generation Profiles: How Partisan Differences Make the Future of Climate Change Uncertain," The Electricity Journal, Elsevier, vol. 23(2), pages 71-75, March.
    26. Qin, Meng & Su, Chi-Wei & Umar, Muhammad & Lobonţ, Oana-Ramona & Manta, Alina Georgiana, 2023. "Are climate and geopolitics the challenges to sustainable development? Novel evidence from the global supply chain," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 748-763.
    27. Yeva Nersisyan & L. Randall Wray, 2021. "Can Biden Build Back Better? Yes, If He Abandons Fiscal "Pay Fors"," Economics Public Policy Brief Archive ppb_155, Levy Economics Institute.
    28. Ghazi Shukur & Panagiotis Mantalos, 2000. "A simple investigation of the Granger-causality test in integrated-cointegrated VAR systems," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(8), pages 1021-1031.
    29. Adams, Samuel & Adedoyin, Festus & Olaniran, Eniola & Bekun, Festus Victor, 2020. "Energy consumption, economic policy uncertainty and carbon emissions; causality evidence from resource rich economies," Economic Analysis and Policy, Elsevier, vol. 68(C), pages 179-190.
    30. Qin, Meng & Su, Chi-Wei & Hao, Lin-Na & Tao, Ran, 2020. "The stability of U.S. economic policy: Does it really matter for oil price?," Energy, Elsevier, vol. 198(C).
    31. Mehmet Balcilar & Zeynel Ozdemir, 2013. "The export-output growth nexus in Japan: a bootstrap rolling window approach," Empirical Economics, Springer, vol. 44(2), pages 639-660, April.
    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. Wang, Xinghua & Lee, Zhengzheng & Wu, Shuang & Qin, Meng, 2023. "Exploring the vital role of geopolitics in the oil market: The case of Russia," Resources Policy, Elsevier, vol. 85(PB).
    2. Qin, Meng & Su, Chi-Wei & Lobonţ, Oana-Ramona & Umar, Muhammad, 2023. "Blockchain: A carbon-neutral facilitator or an environmental destroyer?," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 604-615.
    3. Su, Chi Wei & Shao, Xuefeng & Jia, Zhijie & Nepal, Rabindra & Umar, Muhammad & Qin, Meng, 2023. "The rise of green energy metal: Could lithium threaten the status of oil?," Energy Economics, Elsevier, vol. 121(C).
    4. Qin, Meng & Su, Chi-Wei & Pirtea, Marilen Gabriel & Dumitrescu Peculea, Adelina, 2023. "The essential role of Russian geopolitics: A fresh perception into the gold market," Resources Policy, Elsevier, vol. 81(C).
    5. Sun, Ting-Ting & Su, Chi-Wei & Mirza, Nawazish & Umar, Muhammad, 2021. "How does trade policy uncertainty affect agriculture commodity prices?," Pacific-Basin Finance Journal, Elsevier, vol. 66(C).
    6. Su, Chi-Wei & Wang, Dan & Mirza, Nawazish & Zhong, Yifan & Umar, Muhammad, 2023. "The impact of consumer confidence on oil prices," Energy Economics, Elsevier, vol. 124(C).
    7. Sun, Yanpeng & Mirza, Nawazish & Qadeer, Abdul & Hsueh, Hsin-Pei, 2021. "Connectedness between oil and agricultural commodity prices during tranquil and volatile period. Is crude oil a victim indeed?," Resources Policy, Elsevier, vol. 72(C).
    8. Kai-Hua Wang & Jia-Min Kan & Cui-Feng Jiang & Chi-Wei Su, 2022. "Is Geopolitical Risk Powerful Enough to Affect Carbon Dioxide Emissions? Evidence from China," Sustainability, MDPI, vol. 14(13), pages 1-16, June.
    9. Liu, Tie-Ying & Su, Chi-Wei, 2021. "Is transportation improving urbanization in China?," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    10. Qin, Meng & Su, Chi-Wei & Tao, Ran & Umar, Muhammad, 2020. "Is factionalism a push for gold price?," Resources Policy, Elsevier, vol. 67(C).
    11. Yingying Xu & Zhi‐Xin Liu & Chi‐Wei Su & Jaime Ortiz, 2019. "Gold and inflation: Expected inflation effect or carrying cost effect?," International Finance, Wiley Blackwell, vol. 22(3), pages 380-398, December.
    12. Qin, Meng & Su, Chi-Wei & Tao, Ran, 2021. "BitCoin: A new basket for eggs?," Economic Modelling, Elsevier, vol. 94(C), pages 896-907.
    13. Aye, Goodness C. & Balcilar, Mehmet & Bosch, Adél & Gupta, Rangan, 2014. "Housing and the business cycle in South Africa," Journal of Policy Modeling, Elsevier, vol. 36(3), pages 471-491.
    14. Ghosh, Taniya & Bhadury, Soumya, 2018. "Money's causal role in exchange rate: Do divisia monetary aggregates explain more?," International Review of Economics & Finance, Elsevier, vol. 57(C), pages 402-417.
    15. Xiao-lin Li & Mehmet Balcilar & Rangan Gupta & Tsangyao Chang, 2016. "The Causal Relationship Between Economic Policy Uncertainty and Stock Returns in China and India: Evidence from a Bootstrap Rolling Window Approach," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(3), pages 674-689, March.
    16. Kai-Hua Wang & Chi-Wei Su & Ran Tao, 2019. "Does the Mundell-Fleming model fit in China?," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 37(1), pages 11-28.
    17. Yingying Xu & Zhi-Xin Liu & Hsu-Ling Chang & Adelina Dumitrescu Peculea & Chi-Wei Su, 2017. "Does self-fulfilment of the inflation expectation exist?," Applied Economics, Taylor & Francis Journals, vol. 49(11), pages 1098-1113, March.
    18. Su, Chi-Wei & Wang, Xiao-Qing & Tao, Ran & Chang, Hsu-Ling, 2019. "Does money supply drive housing prices in China?," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 85-94.
    19. Wang, Kai-Hua & Liu, Lu & Li, Xin & Oana-Ramona, Lobonţ, 2022. "Do oil price shocks drive unemployment? Evidence from Russia and Canada," Energy, Elsevier, vol. 253(C).
    20. Chi-Wei Su & Jiao-Jiao Fan & Hsu-Ling Chang & Xiao-Lin Li, 2016. "Is there Causal Relationship between Money Supply Growth and Inflation in China? Evidence from Quantity Theory of Money," Review of Development Economics, Wiley Blackwell, vol. 20(3), pages 702-719, August.

    More about this item

    Keywords

    Partisan conflict; Carbon emission; Carbon neutrality; Time-varying;
    All these keywords.

    JEL classification:

    • N42 - Economic History - - Government, War, Law, International Relations, and Regulation - - - U.S.; Canada: 1913-
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

    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:eee:ecanpo:v:78:y:2023:i:c:p:954-966. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/economic-analysis-and-policy .

    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.