Factor substitution and development path of the new energy market in the BRICS countries under carbon neutrality: Inspirations from developed European countries
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[1] Debin Fang,et al. Exploring the driving mechanism and the evolution of the low‐carbon economy transition: Lessons from OECD developed countries , 2022, The World Economy.
[2] Feng Dong,et al. Dynamic evolution and driving factors of new energy development: Fresh evidence from China , 2022, Technological Forecasting and Social Change.
[3] Yuling Pan,et al. Design of energy use rights trading policy from the perspective of energy vulnerability , 2022, Energy Policy.
[4] Yajie Liu,et al. What are the roles of consumers, automobile production enterprises, and the government in the process of banning gasoline vehicles? Evidence from a tripartite evolutionary game model , 2022, Energy.
[5] Qiang Wang,et al. Does urbanization redefine the environmental Kuznets curve? An empirical analysis of 134 Countries , 2021, Sustainable Cities and Society.
[6] Riguan Gao,et al. Design and implementation of environmental design based on new energy technology , 2022, Energy Reports.
[7] Yunpeng Sun,et al. Renewable energy transition and environmental sustainability through economic complexity in BRICS countries: Fresh insights from novel method of Moments Quantile regression , 2021, Renewable Energy.
[8] Debin Fang,et al. Temporal-spatial determinants of renewable energy penetration in electricity production: Evidence from EU countries , 2021 .
[9] Mohd Irfan. Integration between electricity and renewable energy certificate (REC) markets: Factors influencing the solar and non-solar REC in India , 2021 .
[10] Hong-gang Peng,et al. A decision support framework for new energy selection in rural areas from the perspectives of information reliability and criterion non-compensation , 2021 .
[11] Qinglong Shao,et al. Exploring the determinants of renewable energy innovation considering the institutional factors: A negative binomial analysis , 2021 .
[12] Debin Fang,et al. Analysis of the generation efficiency of disaggregated renewable energy and its spatial heterogeneity influencing factors: A case study of China , 2021 .
[13] Feng Dong,et al. How does industrial convergence affect the energy efficiency of manufacturing in newly industrialized countries? Fresh evidence from China , 2021 .
[14] Qiang Wang,et al. Underestimated impact of the COVID-19 on carbon emission reduction in developing countries – A novel assessment based on scenario analysis , 2021, Environmental research.
[15] Yufeng Chen,et al. Is new energy driven by crude oil, high-tech sector or low-carbon notion? New evidence from high-frequency data , 2021 .
[16] Zhao Xin-gang,et al. Biased technological progress and total factor productivity growth: From the perspective of China's renewable energy industry , 2021 .
[17] Debin Fang,et al. Decoupling economic growth from energy-related PM2.5 emissions in China: A GDIM-based indicator decomposition , 2021 .
[18] Qiang Wang,et al. Is decoupling embodied carbon emissions from economic output in Sino-US trade possible? , 2021 .
[19] Feng Dong,et al. How virtual social capital affects behavioral intention of sustainable clothing consumption pattern in developing economies? A case study of China , 2021, Resources, Conservation and Recycling.
[20] Xinping Yan,et al. Research progress on ship power systems integrated with new energy sources: A review , 2021, Renewable and Sustainable Energy Reviews.
[21] M. Nematchoua. Analysis and comparison of potential resources and new energy policy of Madagascar island; A review , 2021 .
[22] Miaoer Xu,et al. Total factor efficiency and convergence analysis of renewable energy in Latin American countries , 2021, Renewable Energy.
[23] T. Havránek,et al. Measuring capital-labor substitution: The importance of method choices and publication bias , 2021, Review of Economic Dynamics.
[24] Achintya,et al. Sustainable energy security of India based on energy supply , 2021 .
[25] Wei Liu,et al. Research on the dynamic evolution and its influencing factors of stock correlation network in the Chinese new energy market , 2021 .
[26] Hongxing Yang,et al. Hybrid renewable energy applications in zero-energy buildings and communities integrating battery and hydrogen vehicle storage , 2021 .
[27] P. Lal,et al. Investigating factors affecting renewable energy consumption: A panel data analysis in Sub Saharan Africa , 2021 .
[28] Guo-liang Luo,et al. Do governmental subsidies improve the financial performance of China’s new energy power generation enterprises? , 2021, Energy.
[29] L. Shao,et al. Is solar power renewable and carbon-neutral: Evidence from a pilot solar tower plant in China under a systems view , 2021, Renewable and Sustainable Energy Reviews.
[30] M. Song,et al. Moving towards a sustainable and innovative city: Internal urban traffic accessibility and high-level innovation based on platform monitoring data , 2021 .
[31] H. Di̇nçer,et al. Analysis of risk priorities for renewable energy investment projects using a hybrid IT2 hesitant fuzzy decision-making approach with alpha cuts , 2021 .
[32] Muhammad Shahbaz,et al. The fossil energy trade relations among BRICS countries , 2021 .
[33] Chuanwang Sun,et al. The economic impacts of China's differential electricity pricing policy: Evidence from energy-intensive firms in Hunan Province , 2021 .
[34] S. Rezania,et al. Investigating the asymmetric impact of energy consumption on reshaping future energy policy and economic growth in Iran using extended Cobb-Douglas production function , 2021 .
[35] Edouard Wemy. Capital-labor substitution elasticity: A simulated method of moments approach , 2021 .
[36] L. Tian,et al. CO2 emissions inequality through the lens of developing countries , 2020, Applied Energy.
[37] A. Schaffartzik,et al. Talk renewables, walk coal: The paradox of India's energy transition , 2020, Ecological Economics.
[38] G. C. Leung,et al. The relationship between energy prices, economic growth and renewable energy consumption: Evidence from Europe , 2021 .
[39] Xueqing Tian,et al. Purchase willingness of new energy vehicles: A case study in Jinan City of China , 2021 .
[40] Lu Wang,et al. Gap between words and actions: Empirical study on consistency of residents supporting renewable energy development in China , 2021 .
[41] M. Song,et al. Interaction determinants and projections of China’s energy consumption: 1997–2030 , 2021 .
[42] M. Sheikh-El-Eslami,et al. Designing a regulatory tool for coordinated investment in renewable and conventional generation capacities considering market equilibria , 2020 .
[43] F. You,et al. Can renewable generation, energy storage and energy efficient technologies enable carbon neutral energy transition? , 2020 .
[44] J. W. Dunn,et al. Development of wind energy market in the European Union , 2020 .
[45] C. Jinhua,et al. China’s renewable energy trade potential in the "Belt-and-Road" countries: A gravity model analysis , 2020 .
[46] Debin Fang,et al. Driving mechanism and decoupling effect of PM2.5 emissions: Empirical evidence from China’s industrial sector , 2020 .
[47] Qiang Wang,et al. India’s renewable energy: New insights from multi-regional input output and structural decomposition analysis , 2020 .
[48] D. Bienvenido-Huertas,et al. Analysing natural ventilation to reduce the cooling energy consumption and the fuel poverty of social dwellings in coastal zones , 2020, Applied Energy.
[49] Qiang Wang,et al. Renewable energy consumption and economic growth in OECD countries: A nonlinear panel data analysis , 2020 .
[50] Yeqing Zhang,et al. Patent growth and the long-run performance of VC-backed IPOs , 2020 .
[51] P. Joshi,et al. Adoption and diffusion of improved technologies and production practices in agriculture: Insights from a donor-led intervention in Nepal , 2020, Land Use Policy.
[52] J. Amankwah‐Amoah,et al. Closing Technological Gaps to Alleviate Poverty: Evidence from 17 Sub-Saharan African Countries , 2020 .
[53] M. Song,et al. Driving factors of global carbon footprint pressure: Based on vegetation carbon sequestration , 2020, Applied Energy.
[54] Samuel Asumadu Sarkodie,et al. Environmental quality effects of income, energy prices and trade: The role of renewable energy consumption in G-7 countries. , 2020, The Science of the total environment.
[55] G. Mothé,et al. Renewable energy in reducing greenhouse gas emissions: Reaching the goals of the Paris agreement in Brazil , 2020 .
[56] Zhenbing Yang,et al. How to optimize the allocation of research resources? An empirical study based on output and substitution elasticities of universities in Chinese provincial level , 2020 .
[57] R. Poudineh,et al. Electricity market design under increasing renewable energy penetration: Misalignments observed in the European Union , 2019 .
[58] Zhang,et al. Urban Industrial Water Supply and Demand: System Dynamic Model and Simulation Based on Cobb–Douglas Function , 2019, Sustainability.
[59] M. Antoszewski. Wide-range estimation of various substitution elasticities for CES production functions at the sectoral level , 2019, Energy Economics.
[60] O. Lucon,et al. From Kyoto to Paris: Measuring renewable energy policy regimes in Argentina, Brazil, Canada, Mexico and the United States , 2019, Energy Research & Social Science.
[61] Zhidong Li,et al. Multi-objective optimization of energy consumption in crude oil pipeline transportation system operation based on exergy loss analysis , 2019, Neurocomputing.
[62] D. Fullerton,et al. Environmental Policy on the Back of an Envelope: A Cobb-Douglas Model is Not Just a Teaching Tool , 2019, Energy Economics.
[63] Chu Penghao,et al. Prospects of hydropower industry in the Yangtze River Basin: China's green energy choice , 2019, Renewable Energy.
[64] Umit Bulut,et al. Renewable energy in Turkey: Great potential, low but increasing utilization, and an empirical analysis on renewable energy-growth nexus , 2018, Energy Policy.
[65] Manuel A. Gómez. Factor substitution and convergence speed in the neoclassical model with elastic labor supply , 2018, Economics Letters.
[66] Boqiang Lin,et al. Do we really understand the development of China's new energy industry? , 2018, Energy Economics.
[67] Jinyue Yan,et al. Power and methanol production from biomass combined with solar and wind energy: analysis and comparison , 2018, Energy Procedia.
[68] V. Brummer,et al. Of expertise, social capital, and democracy: Assessing the organizational governance and decision-making in German Renewable Energy Cooperatives , 2018 .
[69] C. Doblinger,et al. The firm-level innovation impact of public R&D funding: Evidence from the German renewable energy sector , 2018 .
[70] F. Nicolli,et al. Heterogeneous policies, heterogeneous technologies: The case of renewable energy , 2016 .
[71] S. Gamlath,et al. Public and Private Education Expenditures, Variable Elasticity of Substitution and Economic Growth , 2014 .
[72] S. K. Layson. The increasing returns to scale CES production function and the law of diminishing marginal returns , 2014 .
[73] Francesco Vona,et al. Environmental policies, competition and innovation in renewable energy , 2014 .
[74] Jessica Jewell,et al. Ready for nuclear energy?: An assessment of capacities and motivations for launching new national nuclear power programs , 2011 .
[75] Chaoqing Yuan,et al. Research on energy-saving effect of technological progress based on Cobb-Douglas production function , 2009 .
[76] L. Fanti,et al. Neoclassical production theory and growth with unemployment: The stability issue revisited , 2009 .
[77] E. Gnansounou. Assessing the energy vulnerability: Case of industrialised countries , 2008 .
[78] R. Jones. The aggregate elasticity of factor substitution with middle products , 2008 .
[79] Volker Böhm,et al. Differential savings, factor shares, and endogenous growth cycles , 2000 .
[80] C. Kemfert. Estimated substitution elasticities of a nested CES production function approach for Germany , 1998 .
[81] L. Jones,et al. Endogenous growth theory: An introduction , 1997 .
[82] Erkin I. Bairam. Learning‐by‐doing, variable elasticity of substitution and economic growth in Japan, 1878–1939 , 1989 .
[83] R. A. Meyer,et al. Linear and Nonlinear Estimation of Production Functions , 1974 .
[84] R. Sato,et al. Production Functions with Variable Elasticity of Factor Substitution: Some Analysis and Testing , 1968 .
[85] C. Lovell. Capacity Utilization and Production Function Estimation in Postwar American Manufacturing , 1968 .