Abstract
This study probes the sustainable development path for ASEAN countries throughout 1990–2019. In doing so, we estimated two equations with the dependent variable of Gross domestic product (GDP) and CO2 emissions, respectively. We took independent variables of capital formation CAP, labor productivity LAB, financial inclusion FIN, globalization GLO, per capita income PI, private–public partnership, and population growth POP. The findings reveal that there exists a strong association between the estimated equations. The coefficient values obtained from cross-sectional ARDL show that CAP, LAB, FIN, GLO, and PI are increasing GDP in ASEAN countries. At the same time, POP, PI, and GLO are contributing toward more CO2 emissions in ASEAN countries. It was observed that FIN is reducing CO2 emissions significantly. To attain a sustainable expansion economy, these developing countries need to revise their economic and environmental policies. PI and POP are positively correlated with CO2 emissions, which means that these countries are even consuming non-renewable energy in the economic sector. Moreover, POP is also contributing factor to environmental pollution. There is a need to increase public awareness about climatic problems.
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Al-Mulali, U., Ozturk, I., & Lean, H. H. (2015). The influence of economic growth, urbanization, trade openness, financial development, and renewable energy on pollution in Europe. Natural Hazards, 79(1), 621–644. https://doi.org/10.1007/s11069-015-1865-9
Amri, F. (2018). Carbon dioxide emissions, total factor productivity, ICT, trade, financial development, and energy consumption: Testing environmental Kuznets curve hypothesis for Tunisia. Environmental Science and Pollution Research, 25(33), 33691–33701. https://doi.org/10.1007/s11356-018-3331-1
Antweiler, W., Copeland, B. R., & Taylor, M. S. (2001). Is free trade good for the environment? American Economic Review, 91(4), 877–908. https://doi.org/10.1257/aer.91.4.877
Aydin, C., & Esen, Ö. (2017). Does the level of energy intensity matter in the effect of energy consumption on the growth of transition economies? Evidence from dynamic panel threshold analysis. Energy Economics. https://doi.org/10.1016/j.eneco.2017.11.010
Bai, J., & Carrion-i-silvestre (2004). Structural Changes, Common Stochastic Trends, and Unit Roots in Panel Data on JSTOR.
Bai, J., & Carrion-i-silvestre, J. L. (2009). Structural changes, common stochastic trends, and unit roots in panel data. Review of Economic Studies, 76(2), 471–501. https://doi.org/10.1111/j.1467-937X.2008.00530.x
Bai, J., & Ng, S. (2004). A panic attack on unit roots and cointegration. Econometrica, 72(4), 1127–1177. https://doi.org/10.1111/j.1468-0262.2004.00528.x
Baloch, Z. A., Tan, Q., Iqbal, N., Mohsin, M., Abbas, Q., Iqbal, W., & Chaudhry, I. S. (2020). Trilemma assessment of energy intensity, efficiency, and environmental index: Evidence from BRICS countries. Environmental Science and Pollution Research, 27(27), 34337–34347. https://doi.org/10.1007/S11356-020-09578-3
Baloch, Z. A., Tan, Q., Kamran, H. W., Nawaz, M. A., Albashar, G., & Hameed, J. (2021). A multi-perspective assessment approach of renewable energy production: Policy perspective analysis. Environment, Development and Sustainability, 2021, 1–29. https://doi.org/10.1007/S10668-021-01524-8
Banerjee, A., & Carrion-i-Silvestre, J. L. (2017). Testing for Panel Cointegration Using Common Correlated Effects Estimators. Journal of Time Series Analysis, 38(4), 610–636. https://doi.org/10.1111/jtsa.12234
Bayer, C., & Hanck, C. (2013). Combining non-cointegration tests. Journal of Time Series Analysis, 34(1), 83–95. https://doi.org/10.1111/j.1467-9892.2012.00814.x
Bilgili, F., Koçak, E., Bulut, U., Kuloğlu, A., Bilgili, F., Koçak, E., Bulut, U., & Kuloğlu, A. (2017). The impact of urbanization on energy intensity: Panel data evidence considering cross-sectional dependence and heterogeneity. Energy, 133(C), 242–256. https://doi.org/10.1016/J.ENERGY.2017.05.121
Boutabba, M. A. (2014). The impact of financial development, income, energy and trade on carbon emissions: Evidence from the Indian economy. Economic Modelling, 40, 33–41. https://doi.org/10.1016/j.econmod.2014.03.005
Charfeddine, L., & Ben Khediri, K. (2016). Financial development and environmental quality in UAE: Cointegration with structural breaks. In Renewable and Sustainable Energy Reviews (Vol. 55, pp. 1322–1335). Elsevier Ltd. https://doi.org/10.1016/j.rser.2015.07.059
Chen, P.-F., Lee, C.-C., Chen, P.-F., & Lee, C.-C. (2007). Is energy consumption per capita broken stationary? new evidence from regional-based panels. Energy Policy, 35(6), 3526–3540.
Choi, I. (2001). Unit root tests for panel data. Journal of International Money and Finance, 20(2), 249–272. https://doi.org/10.1016/S0261-5606(00)00048-6
Choi, I. (2006). Combination unit root tests for cross-sectionally correlated panels. Econometric theory and practice: frontiers of analysis and applied research (pp. 311–333). Cambridge University Press.
Chudik, A., & Pesaran, M. H. (2015). Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors. Journal of Econometrics, 188(2), 393–420. https://doi.org/10.1016/j.jeconom.2015.03.007
Çoban, S., & Topcu, M. (2013). The nexus between financial development and energy consumption in the EU: A dynamic panel data analysis. Energy Economics, 39, 81–88. https://doi.org/10.1016/j.eneco.2013.04.001
Cole, M. A. (2006). Does trade liberalization increase national energy use? Economics Letters, 92(1), 108–112. https://doi.org/10.1016/j.econlet.2006.01.018
Dobnik, F. (2012). Energy consumption and economic growth revisited: Structural breaks and cross-section dependence. In SSRN Electronic Journal. https://doi.org/10.2139/ssrn.1981869
Dollar, D., & Kraay, A. (2004). Trade, growth, and poverty. Economic Journal, 114(493), 22–49. https://doi.org/10.1111/j.0013-0133.2004.00186.x
Dreher, A. (2006). Does globalization affect growth? Evidence from a new index of globalization. Applied Economics, 38(10), 1091–1110. https://doi.org/10.1080/00036840500392078
Eberhardt, M., & Teal, F. (2010). Productivity Analysis in Global Manufacturing Production. In DEGIT Conference Papers.
Hadri, K. (2000). Testing for stationarity in heterogeneous panel data. The Econometrics Journal, 3(2), 148–161. https://doi.org/10.1111/1368-423X.00043
Haseeb, A., Xia, E., Danish, Baloch, M. A., & Abbas, K. (2018). Financial development, globalization, and CO2 emission in the presence of EKC: Evidence from BRICS countries. Environmental Science and Pollution Research, 25(31), 31283–31296. https://doi.org/10.1007/S11356-018-3034-7
Hashem Pesaran, M., & Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of Econometrics, 142(1), 50–93. https://doi.org/10.1016/j.jeconom.2007.05.010
He, G., Lu, Y., Mol, A. P. J., & Beckers, T. (2012). Changes and challenges: China’s environmental management in transition. Environmental Development, 3(1), 25–38. https://doi.org/10.1016/j.envdev.2012.05.005
Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1), 53–74. https://doi.org/10.1016/S0304-4076(03)00092-7
Jalil, A. (2014). Energy-growth conundrum in energy exporting and importing countries: Evidence from heterogeneous panel methods robust to cross-sectional dependence. Energy Economics, 44, 314–324. https://doi.org/10.1016/j.eneco.2014.04.015
Kao, C., Chiang, M.-H., & Chen, B. (1999). International R&D spillovers: An application of estimation and inference in panel cointegration. Oxford Bulletin of Economics and Statistics, 61(s1), 691–709. https://doi.org/10.1111/1468-0084.0610s1691
Khan, M. K., Teng, J. Z., Khan, M. I., & Khan, M. O. (2019). Impact of globalization, economic factors and energy consumption on CO2 emissions in Pakistan. Science of the Total Environment, 688, 424–436. https://doi.org/10.1016/j.scitotenv.2019.06.065
Larsson, R., Lyhagen, J., & Löthgren, M. (2001). Likelihood-based cointegration tests in heterogeneous panels. The Econometrics Journal, 4(1), 109–142. https://doi.org/10.1111/1368-423X.00059
Le, T. H., Le, H. C., & Taghizadeh-Hesary, F. (2020). Does financial inclusion impact CO2 emissions? Evidence from Asia. Finance Research Letters, 34, 101451. https://doi.org/10.1016/j.frl.2020.101451
Levin, A., Lin, C. F., & Chu, C. S. J. (2002). Unit root tests in panel data: Asymptotic and finite-sample properties. Journal of Econometrics, 108(1), 1–24. https://doi.org/10.1016/S0304-4076(01)00098-7
Liddle, B. (2018a). Consumption-based accounting and the trade-carbon emissions nexus. Energy Economics, 69, 71–78. https://doi.org/10.1016/j.eneco.2017.11.004
Liddle, B. (2018b). Consumption-based accounting and the trade-carbon emissions nexus in Asia: A heterogeneous common factor panel analysis. Sustainability, 10(10), 3627. https://doi.org/10.3390/su10103627
Li, Y., Zou, J., Li, M., Bilgin, D. D., Vodkin, L. O., Hartman, G. L., & Clough, S. J. (2008). Soybean defense responses to the soybean aphid. New Phytologist, 179(1), 185–195. https://doi.org/10.1111/j.1469-8137.2008.02443.x
Lluís Carrion-i-Silvestre, J., Del Barrio-Castro, T., & López-Bazo, E. (2005). Breaking the panels: An application to the GDP per capita. The Econometrics Journal, 8(2), 159–175. https://doi.org/10.1111/j.1368-423X.2005.00158.x
Maddala, G. S., & Wu, S. (1999). A comparative study of unit root tests with panel data and a new simple test. Oxford Bulletin of Economics and Statistics, 61(S1), 631–652. https://doi.org/10.1111/1468-0084.0610s1631
McCoskey, S., & Kao, C. (1998). A residual-based test of the null of cointegration in panel data. Econometric Reviews, 17(1), 57–84. https://doi.org/10.1080/07474939808800403
Mishkin, F. S. (2008). No Title.
Moon, H. R., & Perron, B. (2012). Beyond panel unit root tests: Using multiple testing to determine the nonstationarity properties of individual series in a panel. Journal of Econometrics, 169(1), 29–33. https://doi.org/10.1016/j.jeconom.2012.01.008
Pata, U. K. (2018). Renewable energy consumption, urbanization, financial development, income and CO2 emissions in Turkey: Testing EKC hypothesis with structural breaks. Journal of Cleaner Production, 187, 770–779. https://doi.org/10.1016/j.jclepro.2018.03.236
Pedroni, P. (2001). Purchasing power parity tests in cointegrated panels. Review of Economics and Statistics. https://doi.org/10.1162/003465301753237803
Pedroni, P. (2004). Panel cointegration: asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis. Economic Theory, 20, 59–625.
Pesaran, M. H. (2006). Estimation and Inference in large heterogeneous panels with a multifactor error structure. Econometrica, 74(4), 967–1012. https://doi.org/10.1111/j.1468-0262.2006.00692.x
Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics, 22(2), 265–312. https://doi.org/10.1002/jae.951
Pesaran, M. H. (2015). Testing weak cross-sectional dependence in large panels. Econometric Reviews, 34(6–10), 1089–1117. https://doi.org/10.1080/07474938.2014.956623
Pesaran, M. H., & Tosetti, E. (2011). Large panels with common factors and spatial correlation. Journal of Econometrics, 161(2), 182–202. https://doi.org/10.1016/j.jeconom.2010.12.003
Saidi, K., & Mbarek, M. B. (2017). The impact of income, trade, urbanization, and financial development on CO2 emissions in 19 emerging economies. Environmental Science and Pollution Research, 24(14), 12748–12757. https://doi.org/10.1007/s11356-016-6303-3
Salahuddin, M., Alam, K., Ozturk, I., & Sohag, K. (2018). The effects of electricity consumption, economic growth, financial development and foreign direct investment on CO2 emissions in Kuwait. Renewable and Sustainable Energy Reviews, 81, 2002–2010. https://doi.org/10.1016/j.rser.2017.06.009
Salahuddin, M., Ali, M. I., Vink, N., & Gow, J. (2019). The effects of urbanization and globalization on CO 2 emissions: Evidence from the Sub-Saharan Africa (SSA) countries. Environmental Science and Pollution Research, 26(3), 2699–2709. https://doi.org/10.1007/s11356-018-3790-4
Salim, R., Yao, Y., & Chen, G. S. (2017). Does human capital matter for energy consumption in China? Energy Economics, 67, 49–59. https://doi.org/10.1016/j.eneco.2017.05.016
Shahbaz, M., Balcilar, M., Mahalik, M. K., & Akadiri, S. S. (2021). Is causality between globalization and energy consumption bidirectional or unidirectional in top and bottom globalized economies? International Journal of Finance and Economics. https://doi.org/10.1002/ijfe.2519
Shahbaz, M., Balsalobre, D., & Shahzad, S. J. H. (2019). The Influencing factors of CO2 emissions and the role of biomass energy consumption: Statistical experience from G-7 countries. Environmental Modeling and Assessment, 24(2), 143–161. https://doi.org/10.1007/s10666-018-9620-8
Shahbaz, M., Hye, Q. M. A., Tiwari, A. K., & Leitão, N. C. (2013a). Economic growth, energy consumption, financial development, international trade and CO2 emissions in Indonesia. Renewable and Sustainable Energy Reviews, 25, 109–121. https://doi.org/10.1016/j.rser.2013.04.009
Shahbaz, M., Kumar Tiwari, A., & Nasir, M. (2013b). The effects of financial development, economic growth, coal consumption and trade openness on CO2 emissions in South Africa. Energy Policy, 61, 1452–1459. https://doi.org/10.1016/j.enpol.2013.07.006
Shahbaz, M., Mallick, H., Mahalik, M. K., & Sadorsky, P. (2016a). The role of globalization on the recent evolution of energy demand in India: Implications for sustainable development. Energy Economics, 55, 52–68. https://doi.org/10.1016/j.eneco.2016.01.013
Shahbaz, M., Shahzad, S. J. H., Ahmad, N., & Alam, S. (2016b). Financial development and environmental quality: The way forward. Energy Policy, 98, 353–364. https://doi.org/10.1016/j.enpol.2016.09.002
Shahbaz, M., Shahzad, S. J. H., Mahalik, M. K., & Hammoudeh, S. (2018). Does globalisation worsen environmental quality in developed economies? Environmental Modeling & Assessment, 23(2), 141–156. https://doi.org/10.1007/s10666-017-9574-2
Shahbaz, M., Shahzad, S. J. H., Mahalik, M. K., & Hammoudeh, S. (2018). Does globalisation worsen environmental quality in developed economies? Environmental Modeling & Assessment, 23, 141–156. https://doi.org/10.1007/s10666-017-9574-2
Shahbaz, M., Solarin, S. A., Mahmood, H., & Arouri, M. (2013c). Does financial development reduce CO2 emissions in Malaysian economy? A time series analysis. Economic Modelling, 35, 145–152. https://doi.org/10.1016/j.econmod.2013.06.037
Sharma, S. S. (2011). Determinants of carbon dioxide emissions: Empirical evidence from 69 countries. Applied Energy, 88(1), 376–382. https://doi.org/10.1016/j.apenergy.2010.07.022
Stern, D. I. (2004). The rise and fall of the environmental Kuznets curve. World Development, 32(8), 1419–1439. https://doi.org/10.1016/j.worlddev.2004.03.004
Tamazian, A., Chousa, J. P., & Vadlamannati, K. C. (2009). Does higher economic and financial development lead to environmental degradation: Evidence from BRIC countries. Energy Policy, 37(1), 246–253. https://doi.org/10.1016/j.enpol.2008.08.025
Uzar, U. (2020). Is income inequality a driver for renewable energy consumption? Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2020.120287
Van, L. T. H., Vo, A. T., Nguyen, N. T., & Vo, D. H. (2021). Financial inclusion and economic GROWTH: An international evidence. Emerging Markets Finance and Trade, 57(1), 239–263. https://doi.org/10.1080/1540496X.2019.1697672
Westerlund, J. (2005). New simple tests for panel cointegration. Econometric Reviews, 24(3), 297–316. https://doi.org/10.1080/07474930500243019
Westerlund, J. (2007). Testing for error correction in panel data. Oxford Bulletin of Economics and Statistics, 69(6), 709–748. https://doi.org/10.1111/j.1468-0084.2007.00477.x
Westerlund, J., & Edgerton, D. L. (2007). A panel bootstrap cointegration test. Economics Letters, 97(3), 185–190. https://doi.org/10.1016/j.econlet.2007.03.003
Westerlund, J., & Edgerton, D. L. (2008). A simple test for cointegration in dependent panels with structural breaks*. Oxford Bulletin of Economics and Statistics, 70(5), 665–704. https://doi.org/10.1111/j.1468-0084.2008.00513.x
Yao, Y., Ivanovski, K., Inekwe, J., & Smyth, R. (2019). Human capital and energy consumption: Evidence from OECD countries. Energy Economics, 84, 104534. https://doi.org/10.1016/j.eneco.2019.104534
You, W., & Lv, Z. (2018). Spillover effects of economic globalization on CO2 emissions: A spatial panel approach. Energy Economics, 73, 248–257. https://doi.org/10.1016/j.eneco.2018.05.016
Zafar, M. W., Saud, S., & Hou, F. (2019). The impact of globalization and financial development on environmental quality: Evidence from selected countries in the organization for economic co-operation and development (OECD). Environmental Science and Pollution Research, 26(13), 13246–13262. https://doi.org/10.1007/s11356-019-04761-7
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Sharif, A., Mehmood, U., Tariq, S. et al. The role of financial inclusion and globalization toward a sustainable economy in ASEAN countries: evidence from advance panel estimations. Environ Dev Sustain 26, 10243–10260 (2024). https://doi.org/10.1007/s10668-023-03145-9
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DOI: https://doi.org/10.1007/s10668-023-03145-9