Ahmad, A., Zhao, Y., Shahbaz, M., et al. (2016). Carbon emissions, energy consumption and economic growth: An aggregate and disaggregate analysis of the Indian economy. Energy Policy, 96, 131–143.
https://doi.org/10.1016/j.enpol.2016.05.032
Arltová, M., & 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), 47-64.
BAIRD, D. (1983). The Fisher/Pearson Chi-Squared Controversy: A Turning Point for Inductive Inference. The British Journal for the Philosophy of Science, 34(2), 105–118.
https://doi.org/10.1093/bjps/34.2.105
Balcı, M. A., Batrancea, L. M., Akgüller, Ö., et al. (2022). Fractality of Borsa Istanbul during the COVID-19 Pandemic. Mathematics, 10(14), 2503.
https://doi.org/10.3390/math10142503
Bao, H. H. G., Le, H. P., Nguyen, B. H., et al. (2023). The US dollar and trade balance: New findings from the international trade of India with the European Union. Cogent Business & Management, 10(2).
https://doi.org/10.1080/23311975.2023.2235817
Batrancea, L. (2021). Empirical Evidence Regarding the Impact of Economic Growth and Inflation on Economic Sentiment and Household Consumption. Journal of Risk and Financial Management, 14(7), 336.
https://doi.org/10.3390/jrfm14070336
Batrancea, L. M. (2021). An Econometric Approach on Performance, Assets, and Liabilities in a Sample of Banks from Europe, Israel, United States of America, and Canada. Mathematics, 9(24), 3178.
https://doi.org/10.3390/math9243178
Batrancea, L. M., Rathnaswamy, M. M., Rus, M.-I., et al. (2022). Determinants of Economic Growth for the Last Half of Century: A Panel Data Analysis on 50 Countries. Journal of the Knowledge Economy, 14(3), 2578–2602.
https://doi.org/10.1007/s13132-022-00944-9
Batrancea, L., Pop, M. C., Rathnaswamy, M. M., et al. (2021). An Empirical Investigation on the Transition Process toward a Green Economy. Sustainability, 13(23), 13151.
https://doi.org/10.3390/su132313151
Batrancea, L., Rathnaswamy, M. K., & Batrancea, I. (2021). A Panel Data Analysis on Determinants of Economic Growth in Seven Non-BCBS Countries. Journal of the Knowledge Economy, 13(2), 1651–1665.
https://doi.org/10.1007/s13132-021-00785-y
Batrancea, L., Rathnaswamy, M. M., & Batrancea, I. (2021). A Panel Data Analysis of Economic Growth Determinants in 34 African Countries. Journal of Risk and Financial Management, 14(6), 260.
https://doi.org/10.3390/jrfm14060260
Bekun, F. V. (2022). Mitigating Emissions in India: Accounting for the Role of Real Income, Renewable Energy Consumption and Investment in Energy. International Journal of Energy Economics and Policy, 12(1), 188–192.
https://doi.org/10.32479/ijeep.12652
Bose, E., Hravnak, M., & Sereika, S. M. (2017). Vector Autoregressive Models and Granger Causality in Time Series Analysis in Nursing Research. Nursing Research, 66(1), 12–19.
https://doi.org/10.1097/nnr.0000000000000193
Camba Jr, A. C., & Camba, A. L. (2021). An Engle-Granger and Johansen Co-integration Approach in Testing the Validity of Fisher Hypothesis in the Philippines. Journal of Asian Finance, 8(12), 31-38.
Das, A., Mohapatra, S., Gokarn, S., et al. (2017). India’s International Integration and Challenges to Sustaining Growth. Vikalpa: The Journal for Decision Makers, 42(3), 168–205.
https://doi.org/10.1177/0256090917721781
Dickey, D. A., & Fuller, W. A. (1979). Distribution of the Estimators for Autoregressive Time Series With a Unit Root. Journal of the American Statistical Association, 74(366), 427.
https://doi.org/10.2307/2286348
Ghasemi, A., & Zahediasl, S. (2012). Normality Tests for Statistical Analysis: A Guide for Non-Statisticians. International Journal of Endocrinology and Metabolism, 10(2), 486–489.
https://doi.org/10.5812/ijem.3505
Granger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424.
https://doi.org/10.2307/1912791
Harju, S. (2016). Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan. The Journal of Wildlife Management, 80(4), 316.
https://doi.org/10.1002/jwmg.1039
Hernandez, D. C., & Johnston, C. A. (2016). Unidirectional or Bidirectional Relationships of Behaviors: The Importance of Positive Behavioral Momentum. American Journal of Lifestyle Medicine, 10(6), 381–384.
https://doi.org/10.1177/1559827616661971
Hu, K., Raghutla, C., Chittedi, K. R., et al. (2021). The effect of energy resources on economic growth and carbon emissions: A way forward to carbon neutrality in an emerging economy. Journal of Environmental Management, 298, 113448.
https://doi.org/10.1016/j.jenvman.2021.113448
Iqbal, J., Nosheen, M., & Wohar, M. (2023). Exchange rate volatility and India–US commodity trade: evidence of the third country effect. Indian Economic Review, 58, 1–40.
https://doi.org/10.1007/s41775-023-00182-z
Islam, M. M., Alharthi, M., & Murad, M. W. (2021). The effects of carbon emissions, rainfall, temperature, inflation, population, and unemployment on economic growth in Saudi Arabia: An ARDL investigation. PLoS ONE, 16(4 April), 1–21.
https://doi.org/10.1371/journal.pone.0248743
Kumari, R., Shabbir, M. S., Saleem, S., et al. (2023). An empirical analysis among foreign direct investment, trade openness and economic growth: evidence from the Indian economy. South Asian Journal of Business Studies, 12(1), 127–149.
https://doi.org/10.1108/SAJBS-06-2020-0199
Liang, Z., Wei, J., Zhao, J., et al. (2008). The Statistical Meaning of Kurtosis and Its New Application to Identification of Persons Based on Seismic Signals. Sensors, 8(8), 5106–5119.
https://doi.org/10.3390/s8085106
Marcoulides, K. M., & Raykov, T. (2019). Evaluation of Variance Inflation Factors in Regression Models Using Latent Variable Modeling Methods. Educational and Psychological Measurement, 79(5), 874–882.
https://doi.org/10.1177/0013164418817803
Marjanović, V., Milovančević, M., & Mladenović, I. (2016). Prediction of GDP growth rate based on carbon dioxide (CO2) emissions. Journal of CO2 Utilization, 16, 212–217.
https://doi.org/10.1016/j.jcou.2016.07.009
Mhonyera, G., & Meyer, D. F. (2023). The Impact of AfCFTA on Welfare and Trade: Nigeria and South Africa in Light of Core Export Competences. Sustainability, 15(6), 1–16.
https://doi.org/10.3390/su15065090
Murayama, H., Tomonoh, S., Alford, J. M., & Karpuk, M. E. (2004). Fullerene production in tons and more: From science to industry. Fullerenes Nanotubes and Carbon Nanostructures, 12(1–2), 1–9.
https://doi.org/10.1081/FST-120027125
O’Brien, R. M. (2017). Dropping Highly Collinear Variables from a Model: Why it Typically is Not a Good Idea*. Social Science Quarterly, 98(1), 360–375.
https://doi.org/10.1111/ssqu.12273
Paudel, T., Li, W. Y., & Dhakal, T. (2023). Tourism, economy, and carbon emissions in emerging South Asian economies: A dynamic causal analysis. Journal of Infrastructure, Policy and Development, 8(2).
https://doi.org/10.24294/jipd.v8i2.2278
Pedroni, P. (1999). Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors. Oxford Bulletin of Economics and Statistics, 61(s1), 653–670.
https://doi.org/10.1111/1468-0084.61.s1.14
Pedroni, P. (2004). Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis. Econometric Theory, 20(03).
https://doi.org/10.1017/s0266466604203073
Shahbaz, M., & Mafizur Rahman, M. (2014). Exports, financial development and economic growth in Pakistan. International Journal of Development Issues, 13(2), 155–170.
https://doi.org/10.1108/ijdi-09-2013-0065
Ssebulime, K., & Edward, B. (2019). Budget deficit and inflation nexus in Uganda 1980–2016: a cointegration and error correction modeling approach. Journal of Economic Structures, 8(1).
https://doi.org/10.1186/s40008-019-0136-4
Wang, J., Hassan, M. S., Alharthi, M., et al. (2022). Inspecting non-linear behavior of aggregated and disaggregated renewable and non-renewable energy consumption on GDP per capita in Pakistan. Energy Strategy Reviews, 39, 100772.
https://doi.org/10.1016/j.esr.2021.100772