Can clean energy adoption and international trade contribute to the achievement of India’s 2070 carbon neutrality agenda? Evidence using quantile ARDL measures

ABSTRACT India is a major developing world economy that has predominantly been highly energy-intensive and fossil fuel dependent. Consequently, this South Asian nation has not been able to safeguard its environment from persistent degradation through the discharge of greenhouse gases. Accordingly, this study tries to reveal the relationships between Carbon Dioxide (CO2) emissions, renewable energy consumption, international trade, and economic growth in India in order to recommend policies that can help the nation attain carbon neutrality. Both the conventional Autoregressive Distributed Lag (ARDL) and the newly developed Quantile ARDL (QARDL) models are used in this study. The ARDL results unveil that 1% increase in renewable energy consumption contributes to 0.8% reduction in CO2 emissions, while economic growth boosts CO2 emissions in the long run. Besides, international trade deteriorates the environment by amplifying emissions only in the short run. The QARDL results reveal that economic growth positively and renewable energy consumption negatively affect CO2 emissions across all quantiles of CO2 emissions. In contrast, international trade is not found to exert any statistically significant effect on CO2 emissions. Lastly, the quantile-based causality analysis somewhat supports the regression findings by verifying causal associations between the variables of concern in India’s context. Thus, in light of these findings, several carbon neutrality-related policy insights are put forward.

[1]  Mohd Arshad Ansari Re-visiting the Environmental Kuznets curve for ASEAN: A comparison between ecological footprint and carbon dioxide emissions , 2022, Renewable and Sustainable Energy Reviews.

[2]  U. Pata,et al.  How effective are renewable energy, tourism, trade openness, and foreign direct investment on CO_2 emissions? An EKC analysis for ASEAN countries , 2022, Environmental Science and Pollution Research.

[3]  E. Uche,et al.  Re-examining the environmental Kuznets curve (EKC) for India via the multiple threshold NARDL procedure , 2022, Environmental Science and Pollution Research.

[4]  I. Ozturk,et al.  Can energy productivity gains harness the carbon dioxide‐inhibiting agenda of the Next 11 countries? Implications for achieving sustainable development , 2022, Sustainable Development.

[5]  Mohammad Razib Hossain,et al.  Energy mix with technological innovation to abate carbon emission: fresh evidence from Mexico applying wavelet tools and spectral causality , 2022, Environmental Science and Pollution Research.

[6]  N. Nwulu,et al.  Can Energy Efficiency Help in Achieving Carbon-Neutrality Pledges? A Developing Country Perspective Using Dynamic ARDL Simulations , 2022, Sustainability.

[7]  I. Ozturk,et al.  The roles of energy efficiency improvement, renewable electricity production, and financial inclusion in stimulating environmental sustainability in the Next Eleven countries , 2022, Renewable Energy.

[8]  Barnali Nag,et al.  Investigating the role of capital formation to achieve carbon neutrality in India , 2022, Environmental Science and Pollution Research.

[9]  F. Bekun,et al.  Towards a clean production by exploring the nexus between agricultural ecosystem and environmental degradation using novel dynamic ARDL simulations approach , 2022, Environmental Science and Pollution Research.

[10]  F. Bekun,et al.  Environmental consequences of foreign direct investment influx and conventional energy consumption: evidence from dynamic ARDL simulation for Turkey , 2022, Environmental Science and Pollution Research.

[11]  M. H. Tarazkar,et al.  Revisiting global energy efficiency and CO2 emission nexus: fresh evidence from the panel quantile regression model , 2022, Environmental Science and Pollution Research.

[12]  Budiono,et al.  Is the Environmental Kuznets Curve (EKC) hypothesis valid on CO2 emissions in Indonesia? , 2022, International Journal of Environmental Studies.

[13]  G. Alam,et al.  Does climate change stimulate household vulnerability and income diversity? Evidence from southern coastal region of Bangladesh , 2021, Heliyon.

[14]  Soumen Rej,et al.  Can nuclear energy fuel an environmentally sustainable economic growth? Revisiting the EKC hypothesis for India , 2021, Environmental Science and Pollution Research.

[15]  Z. Rahman,et al.  Measuring the simultaneous effects of electricity consumption and production on carbon dioxide emissions (CO2e) in China: New evidence from an EKC-based assessment , 2021 .

[16]  A. Alola,et al.  Environmental implication of coal and oil energy utilization in Turkey: is the EKC hypothesis related to energy? , 2021 .

[17]  Usman Ali,et al.  Dynamics of international trade, technology innovation and environmental sustainability: evidence from Asia by accounting for cross-sectional dependence , 2021 .

[18]  P. Appiah-Konadu,et al.  Electricity consumption and carbon dioxide emissions: The role of trade openness and manufacturing sub-sector output in Ghana , 2021 .

[19]  C. Mensah,et al.  Innovation, trade openness and CO2 emissions in selected countries in Africa , 2021 .

[20]  Recep Ulucak,et al.  An empirical investigation of nuclear energy consumption and carbon dioxide (CO2) emission in India: Bridging IPAT and EKC hypotheses , 2020 .

[21]  Kerui Du,et al.  Does international trade promote CO2 emission performance? An empirical analysis based on a partially linear functional-coefficient panel data model , 2020 .

[22]  Syed Rashid Ali,et al.  Consumption of liquefied petroleum gas and the EKC hypothesis in South Asia: evidence from cross-sectionally dependent heterogeneous panel data with structural breaks , 2020 .

[23]  S. Koc,et al.  Testing validity of the EKC hypothesis in South Korea: role of renewable energy and trade openness , 2020, Environmental Science and Pollution Research.

[24]  Kais Saidi,et al.  The impact of renewable energy on carbon emissions and economic growth in 15 major renewable energy-consuming countries. , 2020, Environmental research.

[25]  Lanouar Charfeddine,et al.  Impact of renewable energy consumption and financial development on CO2 emissions and economic growth in the MENA region: A panel vector autoregressive (PVAR) analysis , 2019, Renewable Energy.

[26]  Åsa Persson,et al.  Governing borderless climate risks: moving beyond the territorial framing of adaptation , 2019, International Environmental Agreements: Politics, Law and Economics.

[27]  Andrew K. Jorgenson,et al.  Ecologically unequal exchange: A theory of global environmental in justice , 2019, Sociology Compass.

[28]  J. Rogelj,et al.  Unintentional unfairness when applying new greenhouse gas emissions metrics at country level , 2019 .

[29]  Manoj Sharma,et al.  Dynamic causality testing for EKC hypothesis, pollution haven hypothesis and international trade in India , 2018, The Journal of International Trade & Economic Development.

[30]  M. A. Baloch,et al.  The effect of ICT, financial development, growth, and trade openness on CO2 emissions: an empirical analysis , 2018, Environmental Science and Pollution Research.

[31]  Kalim Siddiqui David Ricardo’s Comparative Advantage and Developing Countries: Myth and Reality , 2018, International Critical Thought.

[32]  F. Andersson International trade and carbon emissions: The role of Chinese institutional and policy reforms. , 2018, Journal of environmental management.

[33]  Ali Ahmed,et al.  The N-shaped environmental Kuznets curve: an empirical evaluation using a panel quantile regression approach , 2017, Environmental Science and Pollution Research.

[34]  Madhumita Bhattacharya,et al.  The dynamic impact of renewable energy and institutions on economic output and CO2 emissions across regions , 2017 .

[35]  M. Azam,et al.  Re-visiting the environmental Kuznets curve hypothesis for Malaysia: Fresh evidence from ARDL bounds testing approach , 2017 .

[36]  Xuyi Liu,et al.  Does trade openness affect CO2 emissions: evidence from ten newly industrialized countries? , 2017, Environmental Science and Pollution Research.

[37]  Korhan K. Gokmenoglu,et al.  Testing the EKC hypothesis by considering trade openness, urbanization, and financial development: the case of Turkey , 2017, Environmental Science and Pollution Research.

[38]  Umit Bulut,et al.  The impacts of non-renewable and renewable energy on CO2 emissions in Turkey , 2017, Environmental Science and Pollution Research.

[39]  Ozlem Ozdemir,et al.  Economic growth, energy, and environmental Kuznets curve , 2017 .

[40]  Zakaria Zoundi CO2 emissions, renewable energy and the Environmental Kuznets Curve, a panel cointegration approach , 2017 .

[41]  Setareh Katircioglu Investigating the Role of Oil Prices in the Conventional EKC Model: Evidence from Turkey , 2017 .

[42]  S. Mitra,et al.  The environmental Kuznets curve for carbon dioxide in India and China: Growth and pollution at crossroad , 2017 .

[43]  Umit Bulut,et al.  The dynamic impact of renewable energy consumption on CO2 emissions: A revisited Environmental Kuznets Curve approach , 2016 .

[44]  S. B. Youssef,et al.  Renewable Energy Consumption and Agriculture: Evidence for Cointegration and Granger causality for Tunisian Economy , 2017 .

[45]  Slim Ben Youssef,et al.  The role of renewable energy and agriculture in reducing CO2 emissions: evidence for North Africa countries , 2017 .

[46]  Y. Shin,et al.  Quantile cointegration in the autoregressive distributed-lag modeling framework , 2015 .

[47]  Adnan Kasman,et al.  CO2 emissions, economic growth, energy consumption, trade and urbanization in new EU member and candidate countries: A panel data analysis , 2015 .

[48]  S. Katircioğlu,et al.  Testing the tourism-induced EKC hypothesis: The case of Singapore , 2014 .

[49]  Angel Mena-Nieto,et al.  System dynamics modeling for renewable energy and CO2 emissions: A case study of Ecuador , 2014 .

[50]  Sahar Shafiei,et al.  Non-renewable and renewable energy consumption and CO2 emissions in OECD countries: A comparative analysis , 2014 .

[51]  Baolong Yuan,et al.  International trade, FDI (foreign direct investment) and embodied CO2 emissions: A case study of Chinas industrial sectors , 2014 .

[52]  Y. Shin,et al.  Modelling Asymmetric Cointegration and Dynamic Multipliers in a Nonlinear ARDL Framework , 2013 .

[53]  Muhammad Nasir,et al.  The effects of financial development, economic growth, coal consumption and trade openness on CO2 emissions in South Africa , 2013 .

[54]  Aviral Kumar Tiwari,et al.  The environmental Kuzents Curve and the role of coal consumption in India: cointegration and causality analysis in an open economy , 2012 .

[55]  Nicholas Apergis,et al.  On the causal dynamics between renewable and non-renewable energy consumption and economic growth in developed and developing countries , 2011 .

[56]  B. LeBaron,et al.  A test for independence based on the correlation dimension , 1996 .

[57]  N. Shafik Economic Development and Environmental Quality: An Econometric Analysis , 1994 .

[58]  G. Grossman,et al.  Economic Growth and the Environment , 1994 .

[59]  N. Shafik,et al.  Economic Growth and Environmental Quality Time-Series and Cross-Country Evidence , 1992 .