The nexus between consumption-based carbon emissions, trade, eco-innovation, and energy productivity: empirical evidence from N-11 economies.
Carbon Emission
Carbon Neutrality
Eco-innovation
Energy Productivity
International Trade
Journal
Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769
Informations de publication
Date de publication:
Jun 2022
Jun 2022
Historique:
received:
29
06
2021
accepted:
21
12
2021
pubmed:
1
2
2022
medline:
24
5
2022
entrez:
31
1
2022
Statut:
ppublish
Résumé
Unlike previous studies, this study attempts to fill the research gap in the area of consumption-based carbon emissions by introducing the role of energy productivity and eco-innovation along with international trade. To fill the mentioned research gap, the present study aims to evaluate the impact of eco-innovation and energy productivity on trade-adjusted consumption-based carbon emissions for the Next Eleven (N-11) economies using updated available data from 1995-2019. Further, on the methodological aspect, this study employed novel advanced panel data econometric techniques such as cross-sectional autoregressive distributed lags model (CS-ARDL), Westerlund cointegration test, and augmented mean group approach, which helps to tackle the problem of cross-section dependency and heterogeneity. The empirical outcomes confirm the long-run cointegrating relationship for consumption-based carbon emissions with exports, imports, gross domestic product, energy productivity, and eco-innovation. The results from CS-ARDL indicate that energy productivity, eco-innovation, and exports decrease carbon emissions by - 0.181%, - 0.0148%, and - 0.292%, respectively. However, economic growth and imports cause carbon emissions to increase by 1.201% and 0.225%, respectively. Moreover, the results also confirmed that any policy targeting energy productivity, exports, imports, gross domestic product, and eco-innovation should help to achieve equilibrium in approximately more than 1 year. This study recommends that the role of energy productivity and environment-related innovation is crucial for achieving the carbon neutrality target of the Next Eleven economies.
Identifiants
pubmed: 35098468
doi: 10.1007/s11356-021-18327-z
pii: 10.1007/s11356-021-18327-z
doi:
Substances chimiques
Carbon Dioxide
142M471B3J
Carbon
7440-44-0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
39239-39248Informations de copyright
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
Références
Abid N, Ikram M, Jianzu Wu, Ferasso M (2021) Towards Environmental Sustainability: Exploring the Nexus among ISO 14001, Governance Indicators and Green Economy in Pakistan. Sustainable Production and Consumption 27:653–666
doi: 10.1016/j.spc.2021.01.024
Ahmed K, Rehman MU, Ozturk I (2017) What drives carbon dioxide emissions in the long-run? Evidence from selected South Asian Countries. Renew Sustain Energy Rev 70:1142–1153
doi: 10.1016/j.rser.2016.12.018
Atasoy B (2017) Testing the environmental Kuznets curve hypothesis across the US: evidence from panel mean group estimators. Renew Sustain Energy Rev 77:731–747
doi: 10.1016/j.rser.2017.04.050
Begum RA, Sohag K, Abdullah SMS, Jaafar M (2015) CO2 emissions, energy consumption, economic and population growth in Malaysia. Renew Sustain Energy Rev 41:594–601
doi: 10.1016/j.rser.2014.07.205
Chang CP, Wen J, Dong M, Hao Y (2018) Does government ideology affect environmental pollutions? New evidence from instrumental variable quantile regression estimations. Energy Policy 113:386–400
doi: 10.1016/j.enpol.2017.11.021
Chudik, Alexander, and M. Hashem Pesaran. 2013. "Large panel data models with cross-sectional dependence: a survey." Federal Reserve Bank of Dallas, Globalization and Monetary Policy Institute Working Papers 2013(153).
Chudik A, Hashem Pesaran M (2015) Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors. Journal of Econometrics 188(2):393–420
doi: 10.1016/j.jeconom.2015.03.007
CNCA (2019) 2019 Annual Report. Carbon Neutral Cities Alliance Annual Report 2019, January, 51. http://carbonneutralcities.org/wp-content/uploads/2020/02/CNCA-2019-Annual-Report.pdf
Danish, Ulucak R (2020) How do environmental technologies affect green growth? Evidence from BRICS economies. Sci Total Environ 712:136504
Destek MA, Sarkodie SA (2019) Investigation of environmental Kuznets curve for ecological footprint: the role of energy and financial development. Sci Total Environ 650:2483–2489
doi: 10.1016/j.scitotenv.2018.10.017
Ding Q, Khattak SI, Ahmad M (2021) Towards sustainable production and consumption: assessing the impact of energy productivity and eco-innovation on consumption-based carbon dioxide emissions (CCO2) in G-7 nations. Sustainable Production and Consumption 27:254–268
doi: 10.1016/j.spc.2020.11.004
Dong K, Dong X, Dong C (2019) Determinants of the global and regional CO2 emissions: what causes what and where? Appl Econ 51(46):5031–5044
doi: 10.1080/00036846.2019.1606410
Eberhardt, M., & Teal, F. (2010). Productivity analysis in global manufacturing production.
GCA (2019) Global carbon atlas. http://www.globalcarbonatlas.org/en/CO2-emissions . Accessed 22 Jan 2021.
Gong X, Nie Z, Wang Z, Cui S, Gao F, Zuo T (2012) Life cycle energy consumption and carbon dioxide emission of residential building designs in Beijing: a comparative study. J Ind Ecol 16(4):576–587
doi: 10.1111/j.1530-9290.2011.00415.x
Ikram M, Zhou P, Shah SAA, Liu GQ (2019) Do environmental management systems help improve corporate sustainable development? Evidence from manufacturing companies in Pakistan. J Clean Prod 226:628–641
doi: 10.1016/j.jclepro.2019.03.265
Ikram M, Zhang Q, Sroufe R, Shah SZA (2020) Towards a sustainable environment: the nexus between ISO 14001, renewable energy consumption, access to electricity, agriculture and CO2 Emissions in SAARC countries. Sustainable Production and Consumption 22:218–230
doi: 10.1016/j.spc.2020.03.011
Jayanthakumaran K, Verma R, Liu Y (2012) CO2 emissions, energy consumption, trade and income: a comparative analysis of China and India. Energy Policy 42:450–460
doi: 10.1016/j.enpol.2011.12.010
Kapetanios G, Pesaran MH, Yamagata T (2011) Panels with non-stationary multifactor error structures. Journal of Econometrics 160(2):326–348
doi: 10.1016/j.jeconom.2010.10.001
Khan Z, Ali M, Kirikkaleli D, Wahab S, Jiao Z (2020) The impact of eco-innovation and public-private partnership investment on sustainable environment in china: consumption-based carbon emissions analysis. Sustain Dev 28(5):1317–1330
doi: 10.1002/sd.2086
Knight KW, Schor JB (2014) Economic growth and climate change: a cross-national analysis of territorial and consumption-based carbon emissions in high-income countries. Sustainability (switzerland) 6(6):3722–3731
doi: 10.3390/su6063722
Lee KH, Min B (2015) Green R&D for eco-innovation and its impact on carbon emissions and firm performance. J Clean Prod 108:534–542
doi: 10.1016/j.jclepro.2015.05.114
Li J, Zhang X, Ali S, Khan Z (2020) Eco-innovation and energy productivity: New determinants of renewable energy consumption. J Environ Manage 271:111028. https://doi.org/10.1016/j.jenvman.2020.111028
doi: 10.1016/j.jenvman.2020.111028
Liddle B (2018a) Consumption-based accounting and the trade-carbon emissions nexus in Asia: a heterogeneous, common factor panel analysis. Sustainability 10(10):3627
doi: 10.3390/su10103627
Liddle B (2018b) Consumption-based accounting and the trade-carbon emissions nexus. Energy Economics 69:71–78
doi: 10.1016/j.eneco.2017.11.004
Long X, Naminse EY, Du J, Zhuang J (2015) Nonrenewable energy, renewable energy, carbon dioxide emissions and economic growth in China from 1952 to 2012. Renewable and Sustainable Energy Reviews 52:680–688
doi: 10.1016/j.rser.2015.07.176
NASA (2020) Global climate change. Retrieved from https://climate.nasa.gov
Michieka NM, Fletcher J, Burnett W (2013) An empirical analysis of the role of China’s exports on CO2 emissions. Appl Energy 104:258–267
doi: 10.1016/j.apenergy.2012.10.044
OECD (2020) Green growth indicators. OECD Environment Statistics (database). https://doi.org/10.1787/data-00665-en
doi: 10.1787/data-00665-en
O’Neill, J., Wilson, D., Purushothaman, R., & Stupnytska, A. (2005). Global economics paper no: 134. How solid are the BRICs?
Pesaran MH, Yamagata T (2008) Testing slope homogeneity in large panels. Journal of Econometrics 142(1):50–93
doi: 10.1016/j.jeconom.2007.05.010
Pesaran MH (2007) A simple panel unit root test in the presence of cross-section dependence. J Appl Economet 22(2):265–312
doi: 10.1002/jae.951
Peters GP, Minx JC, Weber CL, Edenhofer O (2011) Growth in emission transfers via international trade from 1990 to 2008. Proc Natl Acad Sci 108(21):8903–8908
doi: 10.1073/pnas.1006388108
Safi A, Chen Y, Wahab S, Zheng L, Rjoub H (2021) Does environmental taxes achieve the carbon neutrality target of G7 economies? Evaluating the importance of environmental R&D. J. Environ Manage 293:112908
doi: 10.1016/j.jenvman.2021.112908
Safi A, Wahab S, Zeb F, Amin M, Chen Y (2021) Does financial stability and renewable energy promote sustainable environment in G-7 Countries? The role of income and international trade. Environ Sci Pollt Res 28(34):47628–47640
doi: 10.1007/s11356-021-13991-7
Safi A, Chen Y, Wahab S, Ali S, Yi X, Imran M (2021c) Financial instability and consumption-based carbon emission in E-7 countries: the role of trade and economic growth. Sustainable Production and Consumption 27:383–391
doi: 10.1016/j.spc.2020.10.034
Saidi K, Hammami S (2015) The impact of CO2 emissions and economic growth on energy consumption in 58 countries. Energy Rep 1:62–70
doi: 10.1016/j.egyr.2015.01.003
Solarin SA, Al-Mulali U, Musah I, Ozturk I (2017) Investigating the pollution haven hypothesis in Ghana: an empirical investigation. Energy 124:706–719
doi: 10.1016/j.energy.2017.02.089
Su B, Ang BW (2013) Input–output analysis of CO2 emissions embodied in trade: competitive versus non-competitive imports. Energy Policy 56:83–87
doi: 10.1016/j.enpol.2013.01.041
Wahab, S., Zhang, X., Safi, A., Wahab, Z., & Amin, M. (2020). Does energy productivity and technological innovation limit trade-adjusted carbon emissions? Economic Research-Ekonomska Istraživanja, 1–16.
Wang L, Chang HL, Rizvi SKA, Sari A (2020) Are eco-innovation and export diversification mutually exclusive to control carbon emissions in G-7 countries? J Environ Manage 270:110829
Wang, X., Zheng, H., Wang, Z., Shan, Y., Meng, J., Liang, X., ... & Guan, D. (2019). Kazakhstan’s CO2 emissions in the post-Kyoto Protocol era: production-and consumption-based analysis. Journal of environmental management, 249, 109393.
Westerlund J (2007) Testing for error correction in panel data. Oxford Bull Econ Stat 69(6):709–748
doi: 10.1111/j.1468-0084.2007.00477.x
World Bank (2020) World Development Indicators. http://databank.worldbank.org/data/home.aspx . Accessed Jan 2021
Yii K-J, Geetha C (2017) The nexus between technology innovation and CO 2 emissions in Malaysia: evidence from granger causality test. Energy Procedia 105:3118–3124. https://doi.org/10.1016/j.egypro.2017.03.654
doi: 10.1016/j.egypro.2017.03.654
Yu Y, Chen F (2017) Research on carbon emissions embodied in trade between China and South Korea. Atmos Pollut Res 8(1):56–63
doi: 10.1016/j.apr.2016.07.007
Zhang YJ, Peng YL, Ma CQ, Shen B (2017) Can environmental innovation facilitate carbon emissions reduction? Evidence from China. Energy Policy 100:18–28
doi: 10.1016/j.enpol.2016.10.005
Zhang, Z., Xi, L., Bin, S., Yuhuan, Z., Song, W., Ya, L., ... & Guang, S. (2019). Energy, CO2 emissions, and value-added flows embodied in the international trade of the BRICS group: a comprehensive assessment. Renewable and Sustainable Energy Reviews, 116, 109432.