:::

詳目顯示

回上一頁
題名:探討台灣再生能源消費、經濟成長與二氧化碳排放之間的關係-運用分位數迴歸方法
作者:葉原盛
作者(外文):YEH, YUAN-SHENG
校院名稱:中華大學
系所名稱:管理博士學位學程
指導教授:徐子光
學位類別:博士
出版日期:2023
主題關鍵詞:再生能源消費二氧化碳排放分位數迴歸中介效果分析環境顧志耐曲線renewable energy consumptioncarbon dioxide emissionsquantile regressionmediation analysisEnvironmental Kuznets Curve
原始連結:連回原系統網址new window
相關次數:
  • 被引用次數被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:0
  • 共同引用共同引用:0
  • 點閱點閱:1
在全球氣候變遷問題日益嚴重的情況下,各國都面臨著急迫的減碳任務,以達成淨零排放目標。為了探討台灣在經濟發展過程中再生能源消費對二氧化碳排放的影響,是否符合國際趨勢共同邁向減碳行動。本研究採用分位數迴歸方法,以創新的方式結合自我迴歸遞延落後模式、中介效果模式、環境顧志耐曲線模式與環境再生能源曲線模式,以探討台灣1990至2020年期間總體的再生能源消費,以及各類的再生能源消費包括生質與廢棄物能、水力、太陽熱能、太陽光能、風力等分別與經濟成長和二氧化碳排放之間的動態關係。
實證結果顯示總體的再生能源消費,以及各類的再生能源消費分別與經濟成長和二氧化碳排放之間未有存在長期共整合關係與短期因果關係;生質與廢棄物能消費,以及太陽熱能消費分別會透過經濟成長的中介效果影響二氧化碳排放;經濟成長也會透過總體的再生能源消費、生質與廢棄物能消費,以及太陽熱能消費的中介效果影響二氧化碳排放;同時台灣經濟成長對二氧化碳排放影響也支持環境顧志耐曲線假說,呈現倒U形曲線關係,然而未能發現再生能源消費對二氧化碳排放影響呈現倒U形曲線關係。
As the problem of global climate change becomes more and more serious, all countries are faced with the urgent task of reducing carbon emissions in order to achieve the goal of net zero emissions. In order to explore the impact of renewable energy consumption on carbon dioxide emissions in the process of Taiwan's economic development, whether it is in line with the international trend and jointly move towards carbon reduction actions. This study adopts quantile regression method in an innovative way to combine separately Autoregressive Distributed Lag model, mediation analysis, Environmental Kuznets Curve, and Environmental Renewable Curve, to examine the relationship from 1990 to 2020 in Taiwan among renewable energy consumption (including biomass and waste, hydropower, solar thermal energy, solar photovoltaic, and wind power), economic growth, and carbon dioxide emissions.
This study demonstrated several results. There is no long-term co-integration relationship and short-term causal relationship among overall renewable energy consumption and various types of renewable energy consumption and economic growth and carbon dioxide emissions, respectively. Biomass and waste energy consumption and solar thermal energy consumption affect carbon dioxide emissions through the mediating effect of economic growth. Economic growth also affects carbon dioxide emissions through the mediating effect of overall renewable energy consumption, biomass and waste energy consumption, and solar thermal energy consumption. At the same time, the impact of economic growth on carbon dioxide emissions in Taiwan also supports the Environmental Kuznets Curve hypothesis, showing an inverted U-shaped curve relationship, but the impact of renewable energy consumption on CO2 emissions does not support the assumption of Environmental Renewable Energy Curve, and the inverted U-curve relationship.
王若蘋(2022)。島嶼國家旅遊業、可再生能源與經濟成長之關聯研究。未出版之碩士論文,國立臺灣海洋大學應用經濟研究所,基隆市。
石瑋先(2014)。GDP、能源消耗與CO2排放之間的因果關係與環境顧志耐曲線之研究:以八大工業國為例。未出版之碩士論文,私立中國文化大學國際貿易學系研究所,台北市。
任立中、林佩瑩(2013)。台北市傳統零售市場消費型態之分析-分量迴歸模式之應用。 行銷科學學報,9(1),77-108。
行政院新聞傳播處(2018年1月11日)。行政院會通過「再生能源發展條例」修正草案。行政院全球資訊網,取自https://www.ey.gov.tw/Page/9277F759E41CCD91/fef00622-28c2-41aa-9d6d-733cda223d60
呂奕賢(2018)。碳排放和環境因子之分量迴歸分析。未出版之碩士論文,私立真理大學財務與精算學系研究所,新北市。
沈鋒(2008)。上海市經濟增長與環境污染關係的研究-基於環境庫茲涅茨理論的實證分析。財經研究,34(9),81-90。
周梅菁(2011)。二氧化碳排放量、能源消費與經濟成長之因果關係-以東亞國家為例。未出版之碩士論文,國立成功大學交通管理學系研究所,台南市。
林伯豪(2018)。經濟成長、能源消費及CO2排放之3E議題。未出版之碩士論文,國立臺北大學經濟學系研究所,新北市。
林宜慶(2013)。二氧化碳排放、核能消費、可再生能源消費與經濟成長之關聯性分析-台灣實證研究。未出版之碩士論文,國立中山大學經濟學研究所,高雄市。
林茂文(2022)。2050淨零碳排下的氫能發展方向與挑戰。石油季刊,58(1),1-42。
張云慈(2018)。GDP、再生能源與非再生能源之長期共整合分析。未出版之碩士論文,私立銘傳大學經濟與金融學系研究所,台北市。
莊家彰、管中閔(2005)。台灣與美國股市價量關係的分量迴歸分析。經濟論文,33(4), 379-404。
許智有(2023)。臺灣推動再生能源對淨零碳排之影響。未出版之博士論文,中原大學商學博士學位學程,桃園市。
陳於鈴、陳俞婷、李珣琮(2022)。台灣淨零轉型下之再生能源發展契機與展望。臺灣經濟研究月刊,45(4),50-57。
彭國昇(2020)。燃料進口量、碳排放與經濟成長之間的關係:來自台灣的實證研究。未出版之碩士論文,國立中山大學經濟學研究所,高雄市。
曾紀瑋(2019)。火力發電、核能發電、再生能源發電與經濟成長之關係-台灣實證研究。未出版之碩士論文,國立高雄科技大學國際企業系研究所,高雄市。
曾韋瑞(2019)。能源消費、經濟成長與二氧化碳排放之實證分析-以台灣與泰國為例。未出版之碩士論文,國立中山大學經濟學研究所,高雄市。
黃盈如(2017)。經濟成長、二氧化碳排放、能源消耗、核能與再生能源消耗之實證分析-以台灣為例。未出版之碩士論文,國立中山大學經濟學研究所,高雄市。
楊奕農(2017)。時間序列分析:經濟與財務上之應用(第三版)。台北市:雙葉書廊。
楊浩彥、郭迺鋒、林政勳(2013)。實用財經計量方法:Eviews之應用。台北市:雙葉書廊。
楊肅健(2018)。能源消費、二氧化碳排放與經濟成長之實證分析-以台灣與韓國為例。未出版之碩士論文,國立中山大學經濟學研究所,高雄市。
經濟部能源局(2023年8月25日)。淨零轉型起步走。111年能源統計手冊,取自https://www.esist.org.tw/publication/page2
廖仲仁、張金鶚(2006)。不對稱的仲介服務價格效果:分量迴歸法之檢驗。都市與計劃,33(1),1-16。
蕭宇喬(2021)。能源轉型下儲能應用模式及發展潛力。土木水利,48(4),39-44。
羅方妤(2020)。經濟、能源消費及政策工具與溫室氣體排放之探討-以台灣之實證研究為例。未出版之碩士論文,淡江大學會計學系研究所,新北市。
Acheampong, A. O. (2018). Economic growth, CO2 emissions and energy consumption: What causes what and where? Energy Economics, 74, 677-692.
Adedoyin, F. F., Ozturk, I., Bekun, F. V., Agboola, P. O., & Agboola, M. O. (2021). Renewable and non-renewable energy policy simulations for abating emissions in a complex economy: Evidence from the novel dynamic ARDL. Renewable Energy, 177, 1408-1420.
Ahmad, M., Hengyi, H., Rahman, Z. U., Khan, Z. U., Khan, S., & Khan, Z. (2018). Carbon emissions, energy use, gross domestic product and total population in China. Economics and Environment, 65(2), 32-44.
Anser, M. K., Shabbir, M. S., Tabash, M. I., Shah, S. H. A., Ahmad, M., Peng, M. Y. P., & Lopez, L. B. (2021). Do renewable energy sources improve clean environmental-economic growth? Empirical investigation from South Asian economies. Energy Exploration & Exploitation, 39(5), 1491-1514.
Apergis, N., & Payne, J. E. (2010). Renewable energy consumption and economic growth: Evidence from a panel of OECD countries. Energy Policy, 38(1), 656-660.
Apergis, N., & Payne, J. E. (2011). The renewable energy consumption-growth nexus in Central America. Applied Energy, 88(1), 343-347.
Azagba, S., & Sharaf, M. F. (2012). Fruit and vegetable consumption and body mass index: A quantile regression approach. Journal of Primary Care & Community Health, 3(3), 210-220.
Baek, J. (2016). Do nuclear and renewable energy improve the environment? Empirical evidence from the United States. Ecological Indicators, 66, 352-356.
Balado-Naves, R., Baños-Pino, J. F., & Mayor, M. (2018). Do countries influence neighbouring pollution? A spatial analysis of the EKC for CO2 emissions. Energy Policy, 123, 266-279.
Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social psychology, 51(6), 1173-1182.
Bekhet, H. A., & Othman, N. S. (2018). The role of renewable energy to validate dynamic interaction between CO2 emissions and GDP toward sustainable development in Malaysia. Energy Economics, 72, 47-61.
Bekun, F. V., Alola, A. A., & Sarkodie, S. A. (2019). Toward a sustainable environment: Nexus between CO2 emissions, resource rent, renewable and nonrenewable energy in 16-EU countries. Science of the Total Environment, 657, 1023-1029.
Bento, J. P. C., & Moutinho, V. (2016). CO2 emissions, non-renewable and renewable electricity production, economic growth, and international trade in Italy. Renewable and Sustainable Energy Reviews, 55, 142-155.
Bese, E., & Kalayci, S. (2021). Environmental Kuznets curve (EKC): Empirical relationship between economic growth, energy consumption, and CO2 emissions: Evidence from 3 developed countries. Panoeconomicus, 68(4), 483-506.
Bhattacharya, M., Paramati, S. R., Ozturk, I., & Bhattacharya, S. (2016). The effect of renewable energy consumption on economic growth: Evidence from top 38 countries. Applied Energy, 162, 733-741.
Bibi, F., & Jamil, M. (2021). Testing environment Kuznets curve (EKC) hypothesis in different regions. Environmental Science and Pollution Research, 28(11), 13581-13594.
Bozkurt, C., & Akan, Y. (2014). Economic growth, CO2 emissions and energy consumption: The Turkish case. International Journal of Energy Economics and Policy, 4(3), 484-494.
Chandran, V. G. R., & Tang, C. F. (2013). The impacts of transport energy consumption, foreign direct investment and income on CO2 emissions in ASEAN-5 economies. Renewable and Sustainable Energy Reviews, 24, 445-453.
Chang, C. T., & Lee, H. C. (2016). Taiwan’s renewable energy strategy and energy-intensive industrial policy. Renewable and Sustainable Energy Reviews, 64, 456-465.
Chen, C. L., Kuan, C. M., & Lin, C. C. (2007). Saving and housing of Taiwanese households: New evidence from quantile regression analyses. Journal of Housing Economics, 16(2), 102-126.
Chen, C., Pinar, M., & Stengos, T. (2022). Renewable energy and CO2 emissions: New evidence with the panel threshold model. Renewable Energy, 194, 117-128.
Chen, Y., & Lee, C. C. (2020). Does technological innovation reduce CO2 emissions? Cross-country evidence. Journal of Cleaner Production, 263, 1-11.
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.
Cheng, C., Ren, X., & Wang, Z. (2019a). The impact of renewable energy and innovation on carbon emission: An empirical analysis for OECD countries. Energy Procedia, 158, 3506-3512.
Cheng, C., Ren, X., Wang, Z., & Yan, C. (2019b). Heterogeneous impacts of renewable energy and environmental patents on CO2 emission-Evidence from the BRIICS. Science of The Total Environment, 668, 1328-1338.
Chernozhukov, V., & Hansen, C. (2004). The effects of 401(k) participation on the wealth distribution: An instrumental quantile regression analysis. Review of Economics and Statistics, 86(3), 735-751.
Chien, T., & Hu, J. L. (2008). Renewable energy: An efficient mechanism to improve GDP. Energy Policy, 36(8), 3045-3052.
Çıtak, F., Uslu, H., Batmaz, O., & Hoş, S. (2021). Do renewable energy and natural gas consumption mitigate CO 2 emissions in the USA? New insights from NARDL approach. Environmental Science and Pollution Research, 28, 63739-63750.
Cook, B. L., & Manning, W. G. (2009). Measuring racial/ethnic disparities across the distribution of health care expenditures. Health Services Research, 44(5p1), 1603-1621.
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), 427-431.
Ding, Q., Khattak, S. I., & 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.
Dogan, E., & Seker, F. (2016). The influence of real output, renewable and non-renewable energy, trade and financial development on carbon emissions in the top renewable energy countries. Renewable and Sustainable Energy Reviews, 60, 1074-1085.
Edenhofer, O., Pichs-Madruga, R., Sokona, Y., Farahani, E., Kadner, S., Seyboth, K., et al. (2014). Climate change 2014: Mitigation of climate change. UK: Cambridge University Press.
Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37, 424-438.
Granger, C. W., & Newbold, P. (1974). Spurious regressions in econometrics. Journal of Econometrics, 2(2), 111-120.
Grossman, G. M., & Krueger, A. B. (1995). Economic growth and the environment. The Quarterly Journal of Economics, 110(2), 353-377.
Grossman, G. M., & Kruger, A. G. (1991). Environmental influences of a North American free trade agreement. NBER Working Paper, No. 3914, Washington.
Haldar, A., & Sethi, N. (2021). Effect of institutional quality and renewable energy consumption on CO2 emissions-An empirical investigation for developing countries. Environmental Science and Pollution Research, 28(12), 15485-15503.
Haseeb, A., Xia, E., 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.
Hdom, H. A., & Fuinhas, J. A. (2020). Energy production and trade openness: Assessing economic growth, CO2 emissions and the applicability of the cointegration analysis. Energy Strategy Reviews, 30, 1-13.
Heidari, H., Katircioğlu, S. T., & Saeidpour, L. (2015). Economic growth, CO2 emissions, and energy consumption in the five ASEAN countries. International Journal of Electrical Power & Energy Systems, 64, 785-791.
Hsu, T. K. (2016). Exploring relationship between the stock price of Taiwan and the exchange rate: An autoregressive distributed lag model with a quantile regression. International Journal of Economics and Finance, 8(1), 72-78.
Hsu, T. K. (2018). Stock prices and ZAR/USD exchange rates: A quantile utoregressive distributed lag approach. The Empirical Economics Letters, 17(10), 1195-1202.
Hsu, T. K. (2020). The effect of trade openness on carbon dioxide emission in Taiwan: A quantile mediation analysis. WSEAS Transaction Environment Development, 16, 434-439.
Hsu, T. K. (2021). The effect of renewable energy on carbon dioxide emission in Taiwan: Quantile mediation analysis. Science Progress, 104(S3), 1-13.
Hsu, T. K., Yeh, Y. S., & Granmo, A. (2023). Using quantile mediation analysis to explore relationships among hydropower energy consumption, economic growth, and carbon dioxide emissions in Taiwan. Processes, 11(2), 1-12.
Huaman, R. N. E., & Jun, T. X. (2014). Energy related CO2 emissions and the progress on CCS projects: A review. Renewable and Sustainable Energy Reviews, 31, 368-385.
Huang, Q., Zhang, H., Chen, J., & He, M. (2017). Quantile regression models and their applications: A review. Journal of Biometrics & Biostatistics, 8(3), 1-6.
Ifa, A., & Guetat, I. (2022). Analysing short-run and long-run causality relationship among public spending, renewable energy consumption, non-renewable energy consumption and economic growth: Evidence from eight of South Mediterranean countries. Energy Exploration & Exploitation, 40(2), 554-579.
Irandoust, M. (2016). The renewable energy-growth nexus with carbon emissions and technological innovation: Evidence from the Nordic countries. Ecological Indicators, 69, 118-125.
Ito, K. (2017). CO2 emissions, renewable and non-renewable energy consumption, and economic growth: Evidence from panel data for developing countries. International Economics, 151, 1-6.
Jamil, K., Liu, D., Gul, R. F., Hussain, Z., Mohsin, M., Qin, G., & Khan, F. U. (2022). Do remittance and renewable energy affect CO2 emissions? An empirical evidence from selected G-20 countries. Energy & Environment, 33(5), 916-932.
Jebli, M. B., Youssef, S. B., & Ozturk, I. (2016). Testing environmental Kuznets curve hypothesis: The role of renewable and non-renewable energy consumption and trade in OECD countries. Ecological Indicators, 60, 824-831.
Jena, P. R., Majhi, B., & Majhi, R. (2022). Estimating Long-Run relationship between renewable energy use and CO2 emissions: A Radial Basis Function Neural Network (RBFNN) approach. Sustainability, 14(9), 1-17.
Kahia, M., Ben Jebli, M., & Belloumi, M. (2019). Analysis of the impact of renewable energy consumption and economic growth on carbon dioxide emissions in 12 MENA countries. Clean Technologies and Environmental Policy, 21(4), 871-885.
Kaika, D., & Zervas, E. (2013). The environmental Kuznets curve (EKC) theory. Part B: Critical issues. Energy Policy, 62, 1403-1411.
Khobai, H. (2018). Renewable energy consumption and economic growth in Indonesia. Evidence from the ARDL bounds testing approach. MPRA Working Papers, No. 85081, Department of Economics, Nelson Mandela University.
Khobai, H., & Le Roux, P. (2018). Does renewable energy consumption drive economic growth: Evidence from Granger-Causality technique. International Journal of Energy Economics and Policy, 8(2), 205-212.
Koenker, R. (2005). Quantile regression. Econometric Society Monographs, Cambridge university press.
Koenker, R. (2017). Quantile regression: 40 years on. Annual Review of Economics, 9, 155-176.
Koenker, R., & Bassett Jr, G. (1978). Regression quantiles. Econometrica, 46(1), 33-50.
Koenker, R., & Hallock, K. F. (2001). Quantile regression. Journal of Economic Perspectives, 15(4), 143-156.
Koenker, R., Chernozhukov, V., He, X., & Peng, L. (2018). Handbook of quantile regression. Chapman & Hall/CRC Handbooks of Modern Statistical Methods. CRC Press, Boca Raton, FL.
Kuan, C. M., Michalopoulos, C., & Xiao, Z. (2013). Quantile regression on multiple quantile ranges. Available at SSRN 1869379, Retrieved from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1869379
Kulionis, V. (2013). The relationship between renewable energy consumption, CO2 emissions, and economic growth in Denmark. Unpublished master’s thesis, Lund University, Lund, Sweden.
Kuznets, S. (1955). Economic growth and income inequality. The American Economic Review, 45(1), 1-28.
Lee, S. R., & Yoo, S. H. (2016). Energy consumption, CO2 emissions, and economic growth in Korea: A causality analysis. Energy Sources, Part B: Economics, Planning, and Policy, 11(5), 412-417.
Li, H., Khattak, S. I., & Ahmad, M. (2021). Measuring the impact of higher education on environmental pollution: New evidence from thirty provinces in China. Environmental and Ecological Statistics. 28, 187-217.
Li, P., Ouyang, Y., & Zhang, L. (2020). The nonlinear impact of renewable energy on CO2 emissions: Empirical evidence across regions in China. Applied Economics Letters, 27(14), 1150-1155.
Li, Q., Cherian, J., Shabbir, M. S., Sial, M. S., Li, J., Mester, I., & Badulescu, A. (2021). Exploring the relationship between renewable energy sources and economic growth. The case of SAARC countries. Energies, 14(3), 1-14.
Lin, B., & Moubarak, M. (2014). Renewable energy consumption-economic growth nexus for China. Renewable and Sustainable Energy Reviews, 40, 111-117.
Liu, X., Zhang, S., & Bae, J. (2017). The impact of renewable energy and agriculture on carbon dioxide emissions: Investigating the environmental Kuznets curve in four selected ASEAN countries. Journal of Cleaner Production, 164, 1239-1247.
Machado, J. A., & Mata, J. (2005). Counterfactual decomposition of changes in wage distributions using quantile regression. Journal of Applied Econometrics, 20(4), 445-465.
Malik, A., Lan, J., & Lenzen, M. (2016). Trends in global greenhouse gas emissions from 1990 to 2010. Environmental Science & Technology, 50(9), 4722-4730.
Masson-Delmotte, V., Zhai, P., Pirani, A., Connors, S. L., Péan, C., Berger, S., et al. (2021). Climate change 2021: The physical science basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, 2, 1-2391.
Masson-Delmotte, V., Zhai, P., Portner, H. O., Roberts, D., Skea, J., Shukla, P. R., et al. (2018). Global warming of 1.5°c : An IPCC special report on impacts of global warming of 1.5°c above pre-industrial levels and related global greenhouse gas emission pathways, in the contex of strengthening the global response to the thereat of blimate change, sustainable development, and efforts to eradicate poverty. UK: Cambridge University Press.
Meinshausen, N., & Ridgeway, G. (2006). Quantile regression forests. Journal of Machine Learning Research, 7(6), 983-999.
Minx, J. C., Baiocchi, G., Peters, G. P., Weber, C. L., Guan, D., & Hubacek, K. (2011). A “carbonizing dragon”: China’s fast growing CO2 emissions revisited. Environmental Science & Technology, 45(21), 9144-9153.
Mirziyoyeva, Z., & Salahodjaev, R. (2022). Renewable energy and CO2 emissions intensity in the top carbon intense countries. Renewable Energy, 192, 507-512.
Muhammad, B., & Khan, S. (2021). Understanding the relationship between natural resources, renewable energy consumption, economic factors, globalization and CO2 emissions in developed and developing countries. Natural Resources Forum, 45(2), 138-156.
Nan, S., Huang, J., Wu, J., & Li, C. (2022). Does globalization change the renewable energy consumption and CO2 emissions nexus for OECD countries? New evidence based on the nonlinear PSTR model. Energy Strategy Reviews, 44, 1-14.
Narayan, P. K. (2005). The saving and investment nexus for China: Evidence from cointegration tests. Applied Economics, 37(17), 1979-1990.
Nelson, C. R., & Plosser, C. R. (1982). Trends and random walks in macroeconmic time series: Some evidence and implications. Journal of Monetary Economics, 10(2), 139-162.
Nkoro, E., & Uko, A. K. (2016). Autoregressive Distributed Lag (ARDL) cointegration technique: Application and interpretation. Journal of Statistical and Econometric Methods, 5(4), 63-91.
Panayotou, T. (1993). Empirical tests and policy analysis of environmental degradation at different stages of economic development. ILO Working Papers, No. 992927783402676.
Pesaran, H. H., & Shin, Y. (1998). Generalized impulse response analysis in linear multivariate models. Economics Letters, 58(1), 17-29.
Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289-326.
Phillips, P. C., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346.
Rahman, M. M., & Vu, X. B. (2020). The nexus between renewable energy, economic growth, trade, urbanisation and environmental quality: A comparative study for Australia and Canada. Renewable Energy, 155, 617-627.
Rahman, M. M., Nepal, R., & Alam, K. (2021). Impacts of human capital, exports, economic growth and energy consumption on CO2 emissions of a cross-sectionally dependent panel: Evidence from the newly industrialized countries (NICs). Environmental Science & Policy, 121, 24-36.
Rogelj, J., Den Elzen, M., Höhne, N., Fransen, T., Fekete, H., Winkler, H., et al. (2016). Paris Agreement climate proposals need a boost to keep warming well below 2°C. Nature, 534(7609), 631-639.
Sahoo, M., & Sahoo, J. (2022). Effects of renewable and non‐renewable energy consumption on CO2 emissions in India: Empirical evidence from disaggregated data analysis. Journal of Public Affairs, 22(1), 1-12.
Said, S. E., & Dickey, D. A. (1984). Testing for unit roots in autoregressive-moving average models of unknown order. Biometrika, 71(3), 599-607.
Saidi, K., & Omri, A. (2020a). Reducing CO2 emissions in OECD countries: Do renewable and nuclear energy matter? Progress in Nuclear Energy, 126, 1-12.
Saidi, K., & Omri, A. (2020b). The impact of renewable energy on carbon emissions and economic growth in 15 major renewable energy-consuming countries. Environmental Research, 186, 1-25.
Salem, S., Arshed, N., Anwar, A., Iqbal, M., & Sattar, N. (2021). Renewable energy consumption and carbon emissions-testing nonlinearity for highly carbon emitting countries. Sustainability, 13(21), 1-17.
Sharif, A., Bhattacharya, M., Afshan, S., & Shahbaz, M. (2021). Disaggregated renewable energy sources in mitigating CO2 emissions: New evidence from the USA using quantile regressions. Environmental Science and Pollution Research, 28(41), 57582-57601.
Staffa, S. J., Kohane, D. S., & Zurakowski, D. (2019). Quantile regression and its applications: A primer for anesthesiologists. Anesthesia & Analgesia, 128(4), 820-830.
Thombs, R. P. (2018). Has the relationship between non-fossil fuel energy sources and CO2 emissions changed over time? A cross-national study, 2000-2013. Climatic Change, 148(4), 481-490.
Tiwari, A. K. (2011). A structural VAR analysis of renewable energy consumption, real GDP and CO2 emissions: Evidence from India. Economics Bulletin, 31(2), 1793-1806.
Tsai, I. C. (2012). The relationship between stock price index and exchange rate in Asian markets: A quantile regression approach. Journal of International Financial Markets, Institutions and Money, 22(3), 609-621.
Tugcu, C. T., Ozturk, I., & Aslan, A. (2012). Renewable and non-renewable energy consumption and economic growth relationship revisited: Evidence from G7 countries. Energy Economics, 34(6), 1942-1950.
Waheed, R., Chang, D., Sarwar, S., & Chen, W. (2018). Forest, agriculture, renewable energy, and CO2 emission. Journal of Cleaner Production, 172, 4231-4238.
Wei, X., Liu, J., Wei, T., & Wang, L. (2017). High proportion renewable energy consumption and demand structure model in 2050. Journal of Clean Energy Technologies, 5(2), 163-169.
Xiaosan, Z., Qingquan, J., Iqbal, K. S., Manzoor, A., & Ur, R. Z. (2021). Achieving sustainability and energy efficiency goals: Assessing the impact of hydroelectric and renewable electricity generation on carbon dioxide emission in China. Energy Policy, 155, 1-12.
Yao, S., Zhang, S., & Zhang, X. (2019). Renewable energy, carbon emission and economic growth: A revised environmental Kuznets Curve perspective. Journal of Cleaner Production, 235, 1338-1352.
Yin, J., Zheng, M., & Chen, J. (2015). The effects of environmental regulation and technical progress on CO2 Kuznets curve: An evidence from China. Energy Policy, 77, 97-108.
Yu, K., Lu, Z., & Stander, J. (2003). Quantile regression: Applications and current research areas. Journal of the Royal Statistical Society: Series D (The Statistician), 52(3), 331-350.
Zafar, M. W., Shahbaz, M., Hou, F., & Sinha, A. (2019). From nonrenewable to renewable energy and its impact on economic growth: The role of research & development expenditures in Asia-Pacific Economic Cooperation countries. Journal of Cleaner Production, 212, 1166-1178.
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.
Zoundi, Z. (2017). CO2 emissions, renewable energy and the Environmental Kuznets Curve, a panel cointegration approach. Renewable and Sustainable Energy Reviews, 72, 1067-1075.

 
 
 
 
第一頁 上一頁 下一頁 最後一頁 top
QR Code
QRCODE