China in the Renewable Energy Era: What Has Been Done and What Remains to Be Done
Abstract
:1. Introduction
2. Materials and Methods
3. Data
4. Renewables and Low-Carbon Perspective in China
5. Results
6. Policy Implications and Recommendations
7. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
Appendix A
Authors | Period | Country/Provinces | Variables | Methodology | Outcome |
---|---|---|---|---|---|
[121] | 1977–2005 | China | Energy-induced CO2 emission, total energy consumption carbon content of fuel | Logarithmic mean divisia index (LMDI) method | Renewable energy penetration also exhibits positive effect to the CO2 decrease |
[70] | 1978–2008 | China | Real GDP, GDP pc, per capita annual income of rural and urban households renewable energy consumption (REC), share of renewable energy consumption, number of employees, annual R&D expenditure per employee | Cobb–Douglas type production functions, multivariate OLS | Increases in REC increases: real GDP, GDP per capita, per capita annual income of rural households, per capita annual income of urban households |
[71] | 1971–2007 | People’s Republic of China | Real GDP, five different aggregated and disaggregated energy consumption measures | Meboot DGP based VAR estimation framework based on Yalta (2021) | Neutrality hypothesis confirmed in 53 out of 60 model estimations |
[122] | 1977–2011 | China | GDP, renewable energy consumption, CO2 emissions, labor | Johansen cointegration test, autoregressive distributed lag approach (ARDL), Granger causality test | Bi-directional long-term causality between renewable energy consumption and economic growth |
[123] | 1977–2013 (supply side) 1965–2011 (demand side) | China | Aggregate output coal, oil and renewable energy consumption, flow of services provided by the existing capital stock, labor employed in production, level of technology, energy measure for combined coal, oil and renewable energy consumption | Autoregressive distributed lag (ARDL) and vector error correction modeling (VECM) | Renewable energy consumption reduces emissions |
[124] | 1952–2012 | China | real GDP, labor, capital stock, coal, oil and gas consumption, electricity generated by wind, hydro, and nuclear | Johansen cointegration test Granger causality test | Bi-directional causality confirmed for GDP and CO2, coal, gas, and electricity consumption |
[125] | 1996–2013 | 30 provinces in China | Per capita real GDP, CO2 emissions, foreign trade, urbanization, renewable energy consumption | Dynamic system-GMM panel model | Explanatory variables impact renewable energy consumption |
[75] | 1993–2016 | China | Pc GDP, pc CO2 emissions, pc fossil fuel consumption, pc nuclear energy consumption, pc renewable energy consumption | Series of econometric techniques allowing for structural break is utilized | EKC confirmed for CO2 emissions, Renewable energy plays important roles in mitigating CO2 emissions |
[74] | 1970–2014 | China | Real GDP, hydroelectricity consumption, fossil fuels, capital stock, labor force | VECM Granger causality test | Feedback hypothesis confirmed between economic growth and hydroelectricity consumption |
[73] | 2000–2015 | 31 Chinese provinces | GDP pc, foreign direct investment pc, renewable energy consumption pc | VECM, impulse response function analysis, Granger causality test | Long-term and stable equilibrium relationship among GDP pc, foreign direct investment pc, and renewable energy consumption pc |
[95] | 2003–2017 | China | Rural household economy, renewable energy (including hydropower, bioenergy, and solar energy) | Two-way fixed effect model, Granger causality test | Investment in renewable energy improve the rural household economy |
[72] | 1961–2016 | China | GDP per capita/income level, human capital index, CO2 emissions renewable energy consumption, fossil fuel energy consumption, ecological footprint, biocapacity | Neural network, SIMPLS, U test, dynamic ARDL simulations, Prais–Winsten transformed regression with robust standard errors | EKC hypothesis Confirmed |
[126] | 2008–2014 | 29 Chinese provinces | Economic foundation, institutions, technological development potential, energy security and environmental protection, current status of the renewable energy sector | Dynamic principal component analysis technique | Large variations in RE development across provinces in China |
[76] | 2000–2015 | 30 Chinese provinces | Carbon intensity, Renewable energy technology innovation | Renewable energy technology innovation does not affect carbon intensity in the short term; renewable energy technology innovation negatively and significantly affects carbon intensity in the long-term | |
[53] | 2012–2017 | 30 Chinese provinces | Wind power efficiency | Data envelopment analysis (DEA) method | Differences in the spatial distribution of wind power efficiency in China |
[43] | 1997–2017 (national and regional levels) | China, 31 autonomous regions and municipalities | GDP, financial added value, renewable energy consumption (total electricity generation by renewable energy including hydropower, solar power, wind power, and nuclear power) | ARDL-PMG model, Granger causality test | Unidirectional causality from financial development to renewable energy consumption for China as a whole and eastern China, economic growth unidirectionally causes renewable energy consumption in China as a whole, and eastern and western China |
[4] | 1990–2020 | China | Renewable energy consumption, annual percentage growth rate of GDP, gross capital formation, labor force, trade openness, R&D expenditures, foreign direct investment | Mediation model, Granger causality test | Bidirectional causality between renewable energy consumption and economic growth |
[86] | 2011–2019 | 30 Chinese provinces | Dimensions of renewable energy (RE) development | AHP-EM integrated evaluation model | The comprehensive development level of RE in each province is relatively low, and the relatively high-level areas gradually move eastward in terms of spatial distribution |
[61] | 1971–2018 | China | Real GDP, energy usage, fossil fuels, renewable energy, net enrollment in primary, secondary, and tertiary education, net energy imports, R&D expenditures | ARDL bounds testing approach | Feedback effect between economic growth, dirty energy usage, and clean energy usage |
[80] | 2008–2020 | China | Renewable energy, green finance investment, GDP, renewable energy, public support policy | GMM model | Renewable energy and green economic growth (GDP) are critical determinants for sustainable development |
Appendix B
Journal | Studies Reviewed | Frequency [% Total (=175)] |
---|---|---|
Advances in Climate Change Research | 1 | 0.55555556 |
Applied Energy | 3 | 1.66666667 |
Applied Soft Computing | 1 | 0.55555556 |
Asian Perspective | 1 | 0.55555556 |
Chemical Engineering Research and Design | 1 | 0.55555556 |
Computers and Chemical Engineering | 1 | 0.55555556 |
Computers & Industrial Engineering | 2 | 1.11111111 |
Desalination | 1 | 0.55555556 |
Economic Modelling | 1 | 0.55555556 |
Energy | 14 | 7.77777778 |
Energy Economics | 4 | 2.22222222 |
Energy for Sustainable Development | 2 | 1.11111111 |
Energy Policy | 43 | 23.8888889 |
Energy Procedia | 1 | 0.55555556 |
Energy Reports | 1 | 0.55555556 |
Energy Strategy Reviews | 6 | 3.33333333 |
International Journal of Hydrogen Energy | 2 | 1.11111111 |
International Review of Economics and Finance | 1 | 0.55555556 |
Journal of Cleaner Production | 13 | 7.22222222 |
Journal of Environmental Management | 1 | 0.55555556 |
Journal of Marine Science and Engineering | 1 | 0.55555556 |
Marine Policy | 2 | 1.11111111 |
Procedia Computer Science | 1 | 0.55555556 |
Procedia Engineering | 1 | 0.55555556 |
Procedia Environmental Sciences | 1 | 0.55555556 |
Renewable and Sustainable Energy Reviews | 20 | 11.1111111 |
Renewable Energy | 33 | 18.3333333 |
Renewable Energy Focus | 1 | 0.55555556 |
Resources Policy | 6 | 3.33333333 |
Resources, Conservation & Recycling | 2 | 1.11111111 |
Science of the Total Environment | 2 | 1.11111111 |
Structural Change and Economic Dynamics | 1 | 0.55555556 |
Sustainability | 2 | 1.11111111 |
Sustainable Cities and Society | 1 | 0.55555556 |
Sustainable Energy Technologies and Assessments | 1 | 0.55555556 |
Technological Forecasting & Social Change | 2 | 1.11111111 |
Technology in Soceity | 1 | 0.55555556 |
Utilities Policy | 1 | 0.55555556 |
Water Science and Engineering | 1 | 0.55555556 |
Total number of journals reviewed | Total number of reviewed publications | Total (%) |
39 | 180 | 100 |
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Data Analysis | Model Optimization | Market Demand | Renewable Energy Technologies | Ocean Energy | Nuclear Energy | Policy |
---|---|---|---|---|---|---|
56 | 42 | 19 | 28 | 13 | 9 | 13 |
2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 |
---|---|---|---|---|---|---|---|---|---|
0 | 0 | 2 | 0 | 0 | 2 | 0 | 2 | 0 | 3 |
2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
3 | 7 | 8 | 6 | 7 | 10 | 7 | 10 | 13 | 15 |
2020 | 2021 | 2022 | 2023 | ||||||
11 | 16 | 22 | 36 |
Main Situation | 2021–2030 | 2031–2050 | 2051–2060 |
---|---|---|---|
Developing stage | Early stage (preparation) | Medium stage (competition) | Final stage (completion) |
Orientation statement | Major strategic window, namely 10-year preparation before carbon peak | Competing, cooperating, and coexisting with new energy in terms of technology, carbon sink, and proportion | Completion date of transformation development and carbon neutrality goals |
Tendency for coal consumption | Entering platform stage | Continuing to drop but descending rate unquantified | Dropping to a stable level |
Energy orientation | Foundational energy | Major energy | Alternative energy |
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Ekonomou, G.; Menegaki, A.N. China in the Renewable Energy Era: What Has Been Done and What Remains to Be Done. Energies 2023, 16, 6696. https://doi.org/10.3390/en16186696
Ekonomou G, Menegaki AN. China in the Renewable Energy Era: What Has Been Done and What Remains to Be Done. Energies. 2023; 16(18):6696. https://doi.org/10.3390/en16186696
Chicago/Turabian StyleEkonomou, George, and Angeliki N. Menegaki. 2023. "China in the Renewable Energy Era: What Has Been Done and What Remains to Be Done" Energies 16, no. 18: 6696. https://doi.org/10.3390/en16186696
APA StyleEkonomou, G., & Menegaki, A. N. (2023). China in the Renewable Energy Era: What Has Been Done and What Remains to Be Done. Energies, 16(18), 6696. https://doi.org/10.3390/en16186696