Carbon emissions and the rising effect of foreign direct investment and trade openness: Evidence from panel data countries
DOI:
https://doi.org/10.47654/v28y2024i4p1-22Keywords:
Foreign direct investment, Threshold impact threshold regression, foreign trade opennessAbstract
Purpose: The study aims to investigate the effect of FDI and FTO on carbon emissions using sectoral data from 30 industries in China from 2001 to 2024. It will document both the positive and negative influences of FDI and FTO on carbon emissions, presenting a fresh perspective on these economic factors and their relation to environmental sustainability.
Design/methodology/approach: The research employed a rigorous threshold regression model to explore the relationship between FDI+FTO and carbon emission. Panel data of industries in China was meticulously analyzed, indicating the changes in sectors and the impacts of controlled variables. This comprehensive approach ensures the validity and reliability of our findings.
Findings: The empirical results confirm that FDI and FTO affect sectoral carbon emissions nonlinearly. FDI suppresses carbon dioxide emissions when lower emission threshold values are considered, while FDI at higher thresholds increases them. Similarly, as FTO reduces carbon emissions in high-intensity sectors, carbon emissions increase in low-intensity ones. The control variables concerning carbon emissions are also explained.
Practical implications: Policy initiatives based on the peculiar features of each variable would promote FDI in industries with low emissions and regulate FTO in sectors with high carbon intensity. This would balance economic growth with environmental sustainability.
Originality/value: The paper contributes to the extant literature by analyzing the relationship between FDI, FTO, and carbon emissions within a sector-specific threshold regression analysis framework. It illustrates the complex dynamics of international trade and investment in environmental outcomes.
References
Ali, W., Gohar, R., Chang, B. H., & Wong, W. K. (2022). Revisiting the impacts of globalization, renewable energy consumption, and economic growth on environmental quality in South Asia. Advances in Decision Sciences, 26(3), 78-98.
Aor, R. L., Salisu, A. A., & Okpe, I. J. (2021). A comparative assessment of the global effects of US monetary and fiscal policy uncertainty shocks. Advances in Decision Sciences, 25(4), 1–25.
AYDIN, F. F. (2023). Carbon dioxide emissions, economic growth, energy usage, trade openness and foreign direct investment: Evidence from G8 Countries.
Baek, J., & Koo, W. W. (2009). A dynamic approach to the FDI-environment nexus: the case of China and India. East Asian Economic Review, 13(2), 87-106.
Behera, S. R., & Dash, D. P. (2017). The effect of urbanization, energy consumption, and foreign direct investment on the carbon dioxide emission in the SSEA (South and Southeast Asian) region. Renewable and Sustainable Energy Reviews, 70, 96-106.
Chang, B. H. (2020). Oil prices and E7 stock prices: an asymmetric evidence using multiple threshold nonlinear ARDL model. Environmental Science and Pollution Research, 27(35), 44183-44194.
Chang, B. H., Auxilia, P. M., Kalra, A., Wong, W. K., & Uddin, M. A. (2023). Greenhouse Gas Emissions and the Rising Effects of Renewable Energy Consumption and Climate Risk Development Finance: Evidence from BRICS Countries. Annals of Financial Economics, 2350007.
Chang, B. H., Channa, K. A., Uche, E., Khalaf, O. I., & Ali, O. W. (2022). Analyzing the impacts of terrorism on innovation activity: A cross country empirical study. Advances in Decision Sciences, 26(Special), 124-161.
Chang, B. H., Gohar, R., Derindag, O. F., & Uche, E. (2022a). COVID-19, lockdown measures and their impact on food and healthcare prices: empirical evidence using a dynamic ARDL model. Journal of Economic Studies, (ahead-of-print).
Chang, B. H., Derindag, O. F., Hacievliyagil, N., & Canakci, M. (2022b). Exchange rate response to economic policy uncertainty: evidence beyond asymmetry. Humanities and Social Sciences Communications, 9(1), 1-14.
Chang, B. H., Rajput, S. K. O., & Bhutto, N. A. (2020a). The asymmetric effect of extreme changes in the exchange rate volatility on the US imports: Evidence from multiple threshold nonlinear ARDL model. Studies in economics and finance
Chang, B. H., Sharif, A., Aman, A., Suki, N. M., Salman, A., & Khan, S. A. R. (2020b). The asymmetric effects of oil price on sectoral Islamic stocks: New evidence from quantile-on-quantile regression approach. Resources Policy, 65, 101571.
Chang, B. H., Rajput, S. K. O., Ahmed, P., & Hayat, Z. (2020c). Does Gold Act as a Hedge or a Safe Haven? Evidence from Pakistan. The Pakistan Development Review, 59(1), 69-80.
Chang, B. H., Meo, M. S., Syed, Q. R., & Abro, Z. (2019a). Dynamic analysis of the relationship between stock prices and macroeconomic variables. South Asian Journal of Business Studies, 8(3), 229-245.
Chang, B. H., Rajput, S. K. O., & Bhutto, N. A. (2019b). Impact of exchange rate volatility on the US exports: a new evidence from multiple threshold nonlinear ARDL model. Journal of International Commerce, Economics and Policy, 10(02), 1950009.
Chang, B. H., & Rajput, S. K. O. (2018). Do the changes in macroeconomic variables have a symmetric or asymmetric effect on stock prices? Evidence from Pakistan. South Asian Journal of Business Studies, 7(3), 312-331.
Chang, B. H., Rajput, S. K. O., & Ghumro, N. H. (2018). Asymmetric impact of exchange rate changes on the trade balance: Does global financial crisis matter? Annals of Financial Economics, 1850015.
Chen, Y., Wang, Z., & Zhong, Z. (2019). CO2 emissions, economic growth, renewable and non-renewable energy production and foreign trade in China. Renewable energy, 131, 208-216.
Derindag, O. F., Chang, B. H., Gohar, R., & Salman, A. (2022). Exchange Rate Effect on the Household Consumption in BRICST Countries: Evidence from MATNARDL Model. Journal of International Commerce, Economics and Policy, 2250010.
Dogan, E., & Inglesi-Lotz, R. (2020). The impact of economic structure to the environmental Kuznets curve (EKC) hypothesis: evidence from European countries. Environmental science and pollution research, 27, 12717-12724.
Dogan, E., Taspinar, N., & Gokmenoglu, K. K. (2019). Determinants of ecological footprint in MINT countries. Energy & Environment, 30(6), 1065-1086.
Foss, N. J., & Laursen, K. (2005). Performance pay, delegation and multitasking under uncertainty and innovativeness: An empirical investigation. Journal of Economic Behavior & Organization, 58(2), 246-276.
Gohar, R., Bagadeem, S., Chang, B. H., & Zong, M. (2022a). Do the income and price changes affect consumption in the emerging 7 countries? Empirical evidence using quantile ARDL model. Annals of Financial Economics, 17(04), 2250024.
Gohar, R., Bhatty, K., Osman, M., Wong, W. K., & Chang, B. H. (2022b). Oil prices and sectorial stock indices of Pakistan: Empirical evidence using bootstrap ARDL model. Advances in Decision Sciences, 26(4), 1-27.
Gohar, R., Osman, M., Uche, E., Auxilia, P. M., & Chang, B. H. (2022c). The economic policy uncertainty extreme dynamics and its effect on the exchange rate. Global Economy Journal, 22(03), 2350006.
Gohar, R., Chang, B. H., Derindag, O. F., & Abro, Z. (2022d). Nexus between Consumption, Income, and Price Changes: Asymmetric Evidence from NARDL Model.
Gohar, R., Chang, B. H., Uche, E., Uddin, M. A., & Kalra, A. (2023a). Nexus between energy consumption, climate risk development finance and GHG emissions. International Journal of Financial Engineering, 2350025.
Gohar, R., Salman, A., Uche, E., Derindag, O. F., & Chang, B. H. (2023b). Does US infectious disease equity market volatility index predict G7 stock returns? Evidence beyond symmetry. Annals of Financial Economics, 18(02), 2250028.
Gong, X., Chang, B. H., Chen, X., & Zhong, K. (2023). Asymmetric Effects of Exchange Rates on Energy Demand in E7 Countries: New Evidence from Multiple Thresholds Nonlinear ARDL Model. Romanian Journal of Economic Forecasting, 26(2), 125.
Hashmi, S. M., Chang, B. H., Huang, L., & Uche, E. (2022). Revisiting the relationship between oil prices, exchange rate, and stock prices: An application of quantile ARDL model. Resources Policy, 75, 102543.
Hashmi, S. M., & Chang, B. H. (2021). Asymmetric effect of macroeconomic variables on the emerging stock indices: A quantile ARDL approach. International Journal of Finance & Economics
Hashmi, S. M., Chang, B. H., & Shahbaz, M. (2021a). Asymmetric effect of exchange rate volatility on India's cross‐border trade: Evidence from global financial crisis and multiple threshold nonlinear autoregressive distributed lag model. Australian Economic Papers, 60(1), 64-97.
Hashmi, S. M., Chang, B. H. & Rong, L. (2021b). Asymmetric effect of COVID-19 pandemic on E7 stock indices: Evidence from quantile-on-quantile regression approach. Research in International Business and Finance, 58, 101485.
Haug, A. A., & Ucal, M. (2019). The role of trade and FDI for CO2 emissions in Turkey: Nonlinear relationships. Energy Economics, 81, 297-307.
Hon, T. Y., Moslehpour, M., & Woo, K. Y. (2021). Review on behavioral finance with empirical evidence. Advances in Decision Sciences, 25(4), 1-30.
Huang, R., Chen, G., Lv, G., Malik, A., Shi, X., & Xie, X. (2020). The effect of technology spillover on CO2 emissions embodied in China-Australia trade. Energy Policy, 144, 111544.
Imane, E., Chang, B. H., Elsherazy, T. A., Wong, W. K., & Uddin, M. A. (2023). The External Exchange Rate Volatility Influence on The Trade Flows: Evidence from Nonlinear ARDL Model. Advances in Decision Sciences, 27(2), 75-98.
Jin, X., Chang, B. H., Han, C., & Uddin, M. A. (2024). The tail connectedness among conventional, religious, and sustainable investments: An empirical evidence from neural network quantile regression approach. International Journal of Finance & Economics. https://doi.org/10.1002/ijfe.2949
Li, Z. C., & Wen, X. T. (2013). The empirical analysis of the influence of foreign direct investment on the export trade structure-taking Jiangsu province as an example. Technoeconomics and Management Research.
Li, Z. H., & Liu, H. H. (2012). Are there threshold effects of FDI on environment?: Evidence from 220 cities in China. Finance & Trade Economics, 8, 101-108.
Lu, M., Chang, B. H., Salman, A., Razzaq, M. G. A., & Uddin, M. A. (2023). Time varying connectedness between foreign exchange markets and crude oil futures prices. Resources Policy, 86, 104128.
Maydybura, A., Gohar, R., Salman, A., Wong, W. K., & Chang, B. H. (2023). The asymmetric effect of the extreme changes in the economic policy uncertainty on the exchange rates: evidence from emerging seven countries. Annals of Financial Economics, 18(02), 2250031.
Mei, L., Chang, B. H., Gong, X., & Anwar, A. (2024). Rising energy demand in emerging countries and the effect of exchange rates: An application of the QARDL model. Energy Efficiency, 17(1), 3.
Metulini, R., Riccaboni, M., Sgrignoli, P., & Zhu, Z. (2017). The indirect effects of FDI on trade: A network perspective.
Muganyi, T., Yan, L., & Sun, H. P. (2021). Green finance, fintech and environmental protection: Evidence from China. Environmental Science and Ecotechnology, 7, 100107.
Noman, M., Maydybura, A., Channa, K. A., Wong, W. K., & Chang, B. H. (2023). Impact of cashless bank payments on economic growth: Evidence from G7 countries. Advances in Decision Sciences, 27(1), 1-22.
Pao, H. T., & Tsai, C. M. (2011). Multivariate Granger causality between CO2 emissions, energy consumption, FDI (foreign direct investment) and GDP (gross domestic product): evidence from a panel of BRIC (Brazil, Russian Federation, India, and China) countries. Energy, 36(1), 685-693.
Peng, B., Chang, B. H., Yang, L., & Zhu, C. (2022). Exchange rate and energy demand in G7 countries: Fresh insights from Quantile ARDL model. Energy Strategy Reviews, 44, 100986.
Pontes, J. P. (2007). A non-monotonic relationship between FDI and trade. Economics Letters, 95(3), 369-373.
Pradhan, A. K., Sachan, A., Sahu, U. K., & Mohindra, V. (2022). Do foreign direct investment inflows affect environmental degradation in BRICS nations? Environmental Science and Pollution Research, 29(1), 690-701.
Ren, S., Yuan, B., Ma, X., & Chen, X. (2014a). The impact of international trade on China׳ s industrial carbon emissions since its entry into WTO. Energy policy, 69, 624-634.
Ren, S., Yuan, B., Ma, X., & Chen, X. (2014b). International trade, FDI (foreign direct investment) and embodied CO2 emissions: A case study of Chinas industrial sectors. China Economic Review, 28, 123-134.
Ren, X., Cheng, C., Wang, Z., & Yan, C. (2021). Spillover and dynamic effects of energy transition and economic growth on carbon dioxide emissions for the European Union: A dynamic spatial panel model. Sustainable Development, 29(1), 228-242.
Ren, X., Lu, Z., Cheng, C., Shi, Y., & Shen, J. (2019). On dynamic linkages of the state natural gas markets in the USA: Evidence from an empirical spatio-temporal network quantile analysis. Energy Economics, 80, 234-252.
Salman, A., Chang, B. H., Abdul Razzaq, M. G., Wong, W. K., & Uddin, M. A. (2023a). The Emerging Stock Markets and Their Asymmetric Response to Infectious Disease Equity Market Volatility (ID-EMV) Index. Annals of Financial Economics, 2350008.
Salman, A., Razzaq, M. G. A., Chang, B. H., Wong, W. K., & Uddin, M. A. (2023b). Carbon Emissions and Its Relationship with Foreign Trade Openness and Foreign Direct Investment. Journal of International Commerce, Economics and Policy, 2350023.
Shahbaz, M., Gozgor, G., Adom, P. K., & Hammoudeh, S. (2019). The technical decomposition of carbon emissions and the concerns about FDI and trade openness effects in the United States. International Economics, 159, 56-73.
Sun, H., Edziah, B. K., Sun, C., & Kporsu, A. K. (2022). Institutional quality and its spatial spillover effects on energy efficiency. Socio-Economic Planning Sciences, 83, 101023.
Syed, Q. R., Malik, W. S., & Chang, B. H. (2019). Volatility Spillover Effect of Federal Reserve’S Balance Sheet On The Financial And Goods Markets Of Indo-Pak Region. Annals of Financial Economics, 14(03), 1950015.
Uche, E., Chang, B. H., & Effiom, L. (2022a). Household consumption and exchange rate extreme dynamics: Multiple asymmetric threshold non‐linear autoregressive distributed lag model perspective. International Journal of Finance & Economics, 28(3), 3437-3450.
Uche, E., Chang, B. H., & Gohar, R. (2022b). Consumption optimization in G7 countries: Evidence of heterogeneous asymmetry in income and price differentials. Journal of International Commerce, Economics and Policy, 13(1), 2250002.
Udeagha, M. C., & Ngepah, N. (2022). Does trade openness mitigate the environmental degradation in South Africa? Environmental Science and Pollution Research, 29(13), 19352-19377.
Wang, M., Liu, J., Rahman, S., Sun, X., & Sriboonchitta, S. (2023a). The effect of China's outward foreign direct investment on carbon intensity of Belt and Road Initiative countries: A double-edged sword. Economic Analysis and Policy.
Wang, Q., Wang, L., & Li, R. (2023b). Trade protectionism jeopardizes carbon neutrality-Decoupling and breakpoints roles of trade openness. Sustainable Production and Consumption, 35, 201-215.
Wang, X., Chang, B. H., Uche, E., & Zhao, Q. (2024). The asymmetric effect of income and price changes on the consumption expenditures: evidence from G7 countries using nonlinear bounds testing approach. Portuguese Economic Journal, 23(1), 35-53.
Wang, X., Wang, X., Ren, X., & Wen, F. (2022a). Can digital financial inclusion affect CO2 emissions of China at the prefecture level? Evidence from a spatial econometric approach. Energy Economics, 109, 105966.
Wang, Z. R., Fu, H. Q., & Ren, X. H. (2022b). The impact of political connections on firm pollution: New evidence based on heterogeneous environmental regulation. Petroleum Science.
Zhu, H., Duan, L., Guo, Y., & Yu, K. (2016). The effects of FDI, economic growth and energy consumption on carbon emissions in ASEAN-5: evidence from panel quantile regression. Economic Modelling, 58, 237-248.
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