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Does political risk spur environmental issues in China?

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A Correction to this article was published on 21 January 2023

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Abstract

China is one of the largest emitters of carbon dioxide (CO2) emissions in the world. Therefore, it is essential to explore the determinants of CO2 emissions in China. But previous studies so far have not examined how the political risk of this country can affect its CO2 emissions due to the lack of a long-term dataset. Hence, this study aims to capture the effect of political risk on China’s CO2 emissions while controlling renewable energy consumption, technological innovation, and the economy's economic growth. We employ Bayer and Hanck cointegration, FMOLS, DOLS, CCR, and frequency domain causality tests to establish the relationship among the variables mentioned above. The outcome of the study reveals that political stability is an important predictor of environmental degradation in China. Moreover, political stability is helpful to lower CO2 emissions, while technological innovation and renewable energy consumption can reduce CO2 emissions, economic growth further deteriorates environmental quality by increasing its carbon emissions. Therefore, the present study recommends that policymakers in China should control political tension in the country to control CO2 emissions and, at the same time, promote technological innovation and renewable energy consumption.

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Notes

  1. Political risk “is merely part of the nation’s risk and occurs as a result of challenges and developments affecting the political climate, including bureaucratic quality, the stability of the government, domestic and international disputes, ethnic and social issues, and rule of law. Political risk index spans between 0 (maximum risk) and 100 (minimum risk). The PRS Group evaluates these risk indices utilizing the following parameters: democratic accountability, socio-economic factors, the stability of the government, bureaucratic efficiency, religious and ethnic challenges, profiles of investment, rule of law and domestic and foreign disputes.”.

References

  • Abdallah L, El-Shennawy T (2013) Reducing carbon dioxide emissions from electricity sector using smart electric grid applications. J Engin 1–8

  • Abid M (2016) Impact of economic, financial, and institutional factors on CO2 emissions: evidence from sub-Saharan Africa economies. Util Policy 41:85–94

    Article  Google Scholar 

  • AbdulKareem HK, Adebayo TS, Kirikkaleli D, Shah MI, Abbas S (2022) CO2 behavior amidst the COVID-19 pandemic in the United Kingdom: the role of renewable and non-renewable energy development. Renew Energy 4(3):23–36

    Google Scholar 

  • Adebayo TS (2022) Environmental consequences of fossil fuel in Spain amidst renewable energy consumption: a new insights from the wavelet-based Granger causality approach. Int J Sustain Dev World Ecol 3(5):1–14

  • Adedapo AT, Adebayo TS, Akadiri SS, Usman N (2022) Does interaction between technological innovation and natural resource rent impact environmental degradation in newly industrialized countries? New evidence from method of moments quantile regression. Environ Sci Pollut Res 29(2):3162–3169

    Article  Google Scholar 

  • Adedoyin F, Abubakar I, Bekun FV, Sarkodie SA (2020) Generation of energy and environmental-economic growth consequences: is there any difference across transition economies? Energy Rep 6:1418–1427

    Article  Google Scholar 

  • Adom PK, Kwakwa PA, Amankwaa A (2018) The long-run effects of economic, demographic, and political indices on actual and potential CO2 emissions. Jou Environ Man 218:516–526

    Article  Google Scholar 

  • Agyekum EB, Adebayo TS, Kamel S, Zawbaa HM, Altuntaş M (2022) Drivers of environmental degradation in Turkey: designing an SDG framework through advanced quantile approaches. Energy Rep 8:2008–2021

    Article  Google Scholar 

  • Ahmad M, Ahmed Z, Majeed A, Huang B (2021) An environmental impact assessment of economic complexity and energy consumption: does institutional quality make a difference? Environ Impact Assess Rev 89:106603

    Article  Google Scholar 

  • Ahmed Z, Adebayo TS, Udemba EN, Murshed M, Kirikkaleli D (2021a) Effects of economic complexity, economic growth, and renewable energy technology budgets on ecological footprint: the role of democratic accountability. Environ Sci Pollut Res 5(4):1–16

    Google Scholar 

  • Ahmed Z, Ahmad M, Rjoub H, Kalugina OA, Hussain N (2021b) Economic growth, renewable energy consumption, and ecological footprint: exploring the role of environmental regulations and democracy in sustainable development. Sust Dev

  • Akadiri SS, Adebayo TS, Rjoub H, Oladipupo SD, Sharif A, Adeshola I (2021) The role of economic complexity in the environmental Kuznets curve of MINT economies: evidence from method of moments quantile regression. Environ Sci Pollut Res 1–13

  • Alola AA, Kirikkaleli D (2019) The nexus of environmental quality with renewable consumption, immigration, and healthcare in the US: wavelet and gradual-shift causality approaches. Environ Sci Pol Res 26:35208–35217

    Article  Google Scholar 

  • Álvarez-Herránz A, Balsalobre D, Cantos JM, Shahbaz M (2017) Energy innovations-GHG emissions nexus: fresh empirical evidence from OECD countries. Energy Pol 101:90–100

    Article  Google Scholar 

  • Akinsola GD, Adebayo TS, Kirikkaleli D, Bekun FV, Umarbeyli S, Osemeahon OS (2021) Economic performance of Indonesia amidst CO2 emissions and agriculture: a time series analysis. Environ Sci Pollut Res 28(35):47942–47956

    Article  Google Scholar 

  • Amuakwa-Mensah F, Adom PK (2017) Quality of institution and the FEG (forest, energy intensity, and globalization)-environment relationships in sub-Saharan Africa. Environ Sci Pol Res 24:17455–17473

    Article  Google Scholar 

  • Awosusi AA, Adebayo TS, Rjoub H, Agyekum EB, Kirikkaleli D (2022a) The influence of renewable energy usage on consumption-based carbon emissions in MINT economies. Heliyon e08941

  • Awosusi AA, Adebayo TS, Altuntaş M, Agyekum EB, Zawbaa HM, Kamel S (2022b) The dynamic impact of biomass and natural resources on ecological footprint in BRICS economies: a quantile regression evidence. Energy Rep 8:1979–1994

    Article  Google Scholar 

  • Banerjee A, Dolado J, Mestre R (1998) Error-correction mechanism tests for cointegration in a single-equation framework. Jou Time Series Ana 19:267–283

    Article  Google Scholar 

  • Bayer C, Hanck C (2013) Combining non-cointegration tests. Jou Time Series Ana 34:83–95

    Article  Google Scholar 

  • BetonKalmaz D, Adebayo TS (2020) Ongoing debate between foreign aid and economic growth in Nigeria: a wavelet analysis. Soc Sci Quar 101:2032–2051

    Article  Google Scholar 

  • Boswijk HP (1994) Testing for an unstable root in conditional and structural error correction models. Jour Econ 63:37–60

    Google Scholar 

  • Boswijk HP (1995) Efficient inference on cointegration parameters in structural error correction models. Jour Econ 69:133–158

    Google Scholar 

  • BP (2013) British Petroleum. Stat Rev World Ene

  • BP (2016) British Petroleum. Stat Rev World Ene

  • Breitung J, Candelon B (2006) Testing for short-and long-run causality: a frequency-domain approach. Jour Econ 132:363–378

    Google Scholar 

  • Chen M, Sinha A, Hu K, Shah MI (2020) Impact of technological innovation on energy efficiency in industry 4.0 era moderation of shadow economy in sustainable development. Tech Fore Soc Cha 164:120521

  • Dal Bó E, Rossi MA (2007) Corruption and inefficiency: Tteory and evidence from electric utilities. Jou Pub Econ 91:939–962

    Article  Google Scholar 

  • David D, Venkatachalam A (2018) A comparative study on the role of public-private partnerships and green investment banks in boosting low-carbon investments (No. 870). ADBI Working Paper

  • Destek MA (2020) Investigation on the role of economic, social, and political globalization on environment: evidence from CEECs. Environ Sci Pol Res 27:33601–33614

    Article  Google Scholar 

  • Dickey DA,Fuller WA (1981) Likelihood ratio statistics for autoregressive time series with a unit root. Econ J Econ Soc 1057–1072

  • Dingru L, Ramzan M, Irfan M, Gülmez Ö, Isik H, Adebayo TS, Husam R (2021) The role of renewable energy consumption towards carbon neutrality in BRICS nations: does Globalization Matter?. Front Environ Sci 569

  • Du J, Lu Y, Tao Z (2008) Economic institutions and FDI location choice: evidence from US multinationals in China. Jou Com Econ 36:412–429

    Article  Google Scholar 

  • Engels A (2018) Understanding how China is championing climate change mitigation. Palgrave Com 4:1–6

    Google Scholar 

  • Eren BM, Taspinar N, Gokmenoglu KK (2019) The impact of financial development and economic growth on renewable energy consumption: empirical analysis of India. Sci Tot Env 663:189–197

    Article  CAS  Google Scholar 

  • Fedorová D (2016) Selection of unit root test on the basis of length of the time series and value of ar (1) parameter. Statistika 96:3

    Google Scholar 

  • Goel RK, Herrala R, Mazhar U (2013) Institutional quality and environmental pollution: MENA countries versus the rest of the world. Econ Sys 37:508–521

    Article  Google Scholar 

  • Ibrahim MH, Law SH (2016) Institutional quality and CO2 emission–trade relations: evidence from Sub-Saharan Africa. Sou Afr Jou Econ 84:323–340

    Article  Google Scholar 

  • Jie D, Xu X, Guo F (2020) The future of coal supply in China based on non-fossil energy development and carbon price strategies. Energy 119644

  • Jin L, Duan K, Tang X (2018) What is the relationship between technological innovation and energy consumption? Empirical analysis based on provincial panel data from China. Sustainability 10:145

    Article  Google Scholar 

  • Khan Z, Ali M, Kirikkaleli D, Wahab S, Jiao Z (2020) The impact of technological innovation and public-private partnership investment on sustainable environment in China: consumption-based carbon emissions analysis. Sust Dev 28:1317–1330

    Article  Google Scholar 

  • Kirikkaleli D (2020) New insights into an old issue: exploring the nexus between economic growth and CO 2 emissions in China. Environ Sci Pol Res 27:40777–40786

    Article  CAS  Google Scholar 

  • Kirikkaleli D, Adebayo TS (2020) Do renewable energy consumption and financial development matter for environmental sustainability? New global evidence. Sust Dev

  • Kirikkaleli D, Adebayo TS (2021) Do public-private partnerships in energy and renewable energy consumption matter for consumption-based carbon dioxide emissions in India?. Environ Sci Pollut Res 28(23):30139–30152

  • Kwiatkowski D, Phillips PC, Schmidt P, Shin Y (1992) Testing the null hypothesis of stationarity against the alternative of a unit root: how sure are we that economic time series have a unit root? Jou Econ 54:159–178

    Google Scholar 

  • Li J, Wang X (2012) Energy and climate policy in China’s twelfth five-year plan: a paradigm shift. Energy Pol 41:519–528

    Article  Google Scholar 

  • Li Y, Wei Y, Dong Z (2020) Will China achieve its ambitious goal?—forecasting the CO2 emission intensity of China towards 2030. Energies 13:2924

    Article  CAS  Google Scholar 

  • Miao Y, Razzaq A, Adebayo TS, Awosusi AA (2022) Do renewable energy consumption and financial globalisation contribute to ecological sustainability in newly industrialized countries? Renewable Energy 3(6):20–33

    Google Scholar 

  • Mrabet Z, Alsamara M, Mimouni K, Mnasri A (2021) Can human development and political stability improve environmental quality? New evidence from the MENA region. Econ Mod 94:28–44

    Article  Google Scholar 

  • Oladipupo SD, Adebayo TS, Kirikkaleli D, Adeshola I (2022) Asymmetric nexus between technological innovation and environmental degradation in Sweden: an aggregated and disaggregated analysis. Environ Sci Pollut Res 4(5):1–18

    Google Scholar 

  • Nathaniel SP, Iheonu CO (2019) Carbon dioxide abatement in Africa: the role of renewable and non-renewable energy consumption. Sci Tot Env 679:337–345

    Article  CAS  Google Scholar 

  • Nguyen CP, Nguyen NA, Schinckus C, Su TD (2018) The ambivalent role of institutions in the CO2 emissions: the case of emerging countries. Int Jou Energy Econ and Pol 8:7

    Google Scholar 

  • Panayotou T (1997) Demystifying the environmental Kuznets curve: turning a black box into a policy tool. Env dev Econ 465–484

  • Phillips PC, Perron P (1988) Testing for a unit root in time series regression. Biometrika 75:335–346

    Article  Google Scholar 

  • Sekrafi H, Sghaier A (2018) The effect of corruption on carbon dioxide emissions and energy consumption in Tunisia. PSU Res Rev

  • Shahbaz M, Raghutla C, Song M, Zameer H, Jiao Z (2020) Public-private partnerships investment in energy as new determinant of CO2 emissions: the role of technological innovations in China. Energy Econ 86:104664

  • Sharif A, Baris-Tuzemen O, Uzuner G, Ozturk I, Sinha A (2020) Revisiting the role of renewable and non-renewable energy consumption on Turkey’s ecological footprint: evidence from Quantile ARDL approach. Sust Cit Soc 57:102138

    Article  Google Scholar 

  • Shan S, Ahmad M, Tan Z, Adebayo TS, Li RYM, Kirikkaleli D (2021) The role of energy prices and non-linear fiscal decentralization in limiting carbon emissions: tracking environmental sustainability. Energy 234:121243

  • Shi X, Rioux B, Galkin P (2018) Unintended consequences of China’s coal capacity cut policy. Energy Pol 113:478–486

    Article  Google Scholar 

  • Sofuoğlu E, Ay A (2020) The relationship between climate change and political instability: the case of MENA countries (1985: 01–2016: 12). Environ Sci Pol Res 1–11

  • Su ZW, Umar M, Kirikkaleli D, Adebayo TS (2021) Role of political risk to achieve carbon neutrality: Evidence from Brazil. J Environ Manag 298:113463

  • Sunday Adebayo T, Saint Akadiri S, Haouas I, Rjoub H (2022) A time-varying analysis between financial development and carbon emissions: evidence from the MINT countries. Energy Environ 0958305X221082092

  • Tariq G, Huaping SUN, Haris M, Yusheng KONG (2018) Energy consumption and economic growth: Evidence from four developing countries. Amer Jou of Mult Res 7:100–107

    Google Scholar 

  • Udi, J., Bekun, F. V., Adedoyin, F. F. 2020. Modeling the nexus between coal consumption, FDI inflow and economic expansion: does industrialization matter in South Africa?. Environ. Sci. Pol. Res. 1–12.

  • Umar M, Ji X, Kirikkaleli D, Shahbaz M, Zhou X (2020) Environmental cost of natural resources utilization and economic growth: can China shift some burden through globalization for sustainable development? Sust Devel 28:1678–1688

    Article  Google Scholar 

  • Wang DT, Chen WY (2014) Foreign direct investment, institutional development, and environmental externalities: evidence from China. Jou Environ Man 135:81–90

    Article  CAS  Google Scholar 

  • Xu C (2011) The fundamental institutions of China’s reforms and development. Jou Econ Lit 49:1076–1151

    Article  Google Scholar 

  • Yunfeng Y, Laike Y (2010) China’s foreign trade and climate change: a case study of CO2 emissions. Energy Pol 38:350–356

    Article  Google Scholar 

  • Zafar MW, Shahbaz M, Sinha A, Sengupta T, Qin Q (2020) How renewable energy consumption contribute to environmental quality? The role of education in OECD countries. Jou Clean Prod 268:122149

    Article  Google Scholar 

  • Zakaria M, Bibi S (2019) Financial development and environment in South Asia: the role of institutional quality. Environ Sci Pol Res 26:7926–7937

    Article  Google Scholar 

  • Zhang L, Li Z, Kirikkaleli D, Adebayo TS, Adeshola I, Akinsola GD (2021) Modeling CO 2 emissions in Malaysia: an application of Maki cointegration and wavelet coherence tests. Environ Sci Pol Res 1–15

  • Zheng S (2017) China’s political stability: comparisons and reflections. In governance, domestic change, and social policy in China. Palg. Mac., New York, pp 149–169

  • Zheng X, Lu Y, Yuan J, Baninla Y, Zhang S, Stenseth NC, Hessen DO, Tian H, Obersteiner M, Chen D (2020) Drivers of change in China’s energy-related CO2 emissions. Proc Nat Acad Sci 117:29–36

    Article  CAS  Google Scholar 

  • Zhou X, Wang L, Du J (2021) Institutional environment and green economic growth in China. Complexity 2021

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Authors

Contributions

Muhammad Ibrahim Shah and Dervis Kirikkaleli organized the analysis and gather the dataset. The introduction and literature review parts are written by Tomiwa Sunday Adebayo. Dervis Kirikkaleli and Mehmet Altuntaş created the study’s methodology part and empirical findings. The interpretation of the results was assisted by Muhammad Ibrahim Shah, Tomiwa Sunday Adebayo, and Dervis Kirikkaleli. The final manuscript was read and endorsed by all of the authors.

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Correspondence to Tomiwa Sunday Adebayo.

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Kirikkaleli, D., Shah, M.I., Adebayo, T.S. et al. Does political risk spur environmental issues in China?. Environ Sci Pollut Res 29, 62637–62647 (2022). https://doi.org/10.1007/s11356-022-19951-z

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  1. Muhammad Ibrahim Shah