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China as a global clean energy champion : lifting the veil
\"This book considers China's role as a rising champion of clean energy and document the policy decisions and actions which have underpinned this evolution. It considers the construction of the world's largest fleets of advanced coal-fired power stations, wind farms and solar photovoltaic arrays, examines sustained efforts to reduce national GDP intensities of energy and CO2 emissions, and assesses the rhetoric of government announcements on national policy and international commitments, including the Thirteenth Five-year Plan for Energy (2016-2020). The book notably considers the factors that have supported these achievements, including the availability of large amounts of capital, the role of state-owned companies with soft budgetary constraints, and many forms of indirect support from local governments. It also explores the obstacles to reaching the formal goals of reducing air pollution and CO2 emissions as well as the costs and unintended consequences of these policies, and identifies those parts of the energy supply chain where the governance of energy has been less effective in terms of energy efficiency and environmental protection.\"-- Provided by publisher.
Book
Strategies to save energy in the context of the energy crisis: a review
New technologies, systems, societal organization and policies for energy saving are urgently needed in the context of accelerated climate change, the Ukraine conflict and the past coronavirus disease 2019 pandemic. For instance, concerns about market and policy responses that could lead to new lock-ins, such as investing in liquefied natural gas infrastructure and using all available fossil fuels to compensate for Russian gas supply cuts, may hinder decarbonization efforts. Here we review energy-saving solutions with a focus on the actual energy crisis, green alternatives to fossil fuel heating, energy saving in buildings and transportation, artificial intelligence for sustainable energy, and implications for the environment and society. Green alternatives include biomass boilers and stoves, hybrid heat pumps, geothermal heating, solar thermal systems, solar photovoltaics systems into electric boilers, compressed natural gas and hydrogen. We also detail case studies in Germany which is planning a 100% renewable energy switch by 2050 and developing the storage of compressed air in China, with emphasis on technical and economic aspects. The global energy consumption in 2020 was 30.01% for the industry, 26.18% for transport, and 22.08% for residential sectors. 10–40% of energy consumption can be reduced using renewable energy sources, passive design strategies, smart grid analytics, energy-efficient building systems, and intelligent energy monitoring. Electric vehicles offer the highest cost-per-kilometer reduction of 75% and the lowest energy loss of 33%, yet battery-related issues, cost, and weight are challenging. 5–30% of energy can be saved using automated and networked vehicles. Artificial intelligence shows a huge potential in energy saving by improving weather forecasting and machine maintenance and enabling connectivity across homes, workplaces, and transportation. For instance, 18.97–42.60% of energy consumption can be reduced in buildings through deep neural networking. In the electricity sector, artificial intelligence can automate power generation, distribution, and transmission operations, balance the grid without human intervention, enable lightning-speed trading and arbitrage decisions at scale, and eliminate the need for manual adjustments by end-users.
Journal Article
Clean energy investment and financial development as determinants of environment and sustainable economic growth: evidence from China
Environmental sustainability has become one of the most common phrases in discussions about climate change. This study examines the impact of clean energy investment and financial development on environmental sustainability and China’s economic growth, using manufacturing value-added and urbanization as moderator variables from 1970 to 2016. We used advanced econometric methodologies for empirical estimations, used structural break unit root tests, fully modified least square, dynamic least square, and robust least square multiple regressions for long-run estimates. Overall, the results determine that clean energy investment is negatively associated with CO
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emissions and ecological footprint while positively associated with China’s economic growth. Financial development, manufacturing value-added, and urbanization are positively associated with CO
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emissions, ecological footprint, and China’s economic growth. Moreover, clean energy investment improves environmental sustainability at the expense of economic growth. Financial development, manufacturing value-added, and urbanization encourage economic growth at the expense of environmental sustainability. We argued that the local governments play a critical role in lifting the outstanding barriers to cleaner energy investment, addressing disincentives, including pricing carbon dioxide emissions, reforming inefficient nonrenewable fossil fuel subsidies, and addressing regulatory and market rigidities that can undesirably affect the attractiveness of clean energy investment. Policymakers are suggested to encourage green finance strategy for the financial sector to broader sustainable development objectives. At the heart of green manufacturing, industrialization policies are needed to integrate diverse intentions, like inclusive growth, environmental protection, and productivity through a wider range of economic, social, and environmental policy frameworks suitable for decoupling growth from social and environmental unsustainability.
Journal Article
Research on the resilience of renewable energy in rural areas—Based on the data from Shandong Province
China’s rural energy system faces three challenges: high structural carbonization, low energy utilization efficiency and insufficient supply stability. These systemic contradictions seriously hinder the coordinated promotion of the “dual carbon” strategy and the rural revitalization process. This study takes 16 cities and cities in Shandong Province as the object and combines GIS technology to construct a biomass and solar energy resource evaluation model. The amount of agricultural biomass resources is calculated through the grass valley ratio method. Its resource potential and convertible power generation are quantified, and the “Four Quadrant Model for Renewable Energy Abundance” is introduced to divide regional types. Use spatial analysis to reveal the geographical heterogeneity of resource distribution and explore differentiated low-carbon transformation paths to enhance energy resilience. The study found that the rural renewable energy endowment in Shandong Province showed significant regional differences and proposed four types of development paths: The dual-resource areas jointly develop agricultural and light complementarity and straw power generation, the photovoltaic advantage zone explores energy storage and hydrogen production, the biomass-led areas strengthen cogeneration, and the resource-scarce areas implement green electricity allocation and energy efficiency upgrades. The conclusion shows that multi-energy coordination can improve energy supply stability through space-time complementarity and risk dilution, enhance energy supply resilience, and provide a scientific paradigm for the low-carbon transformation of high-carbon provinces.
Journal Article
Substitutes or complements? Exploring the impact of environmental regulations and informal institutions on the clean energy utilization behaviors of farmers
With rapid economic development and tremendous population growth, emerging economies are facing huge pressure to conserve energy and reduce emissions. Although governmental authorities have formulated numerous relevant policies, a considerable number of farmers have yet to actively take energy-saving measures. Consequently, it is imperative to investigate how institutions (i.e., environmental regulations and informal institutions) affect the clean energy utilization behaviors (CEUBs) of farmers (e.g., biomass energy, natural gas, and solar energy) for better aligning governance strategies. Drawing on institutional theory, we explore the underlying influencing mechanisms of the institutional constraints on farmers’ CEUBs using survey data collected from Central China. The double hurdle model results reveal that both environmental regulations (e.g., incentivizing regulations, binding regulations) and informal institutions (e.g., value orientation) have positive impacts on farmers’ adoption of CEUBs. Informal institutions were found to have stronger influences on farmers’ CEUBs than formal regulations. Interestingly, the interactions between two institutional constraints primarily have substitutionary effects on the natural gas and solar energy using behaviors of farmers. The interaction effects of the two institutional constraints on biomass energy using behavior are complementary. Consequently, this study sheds new light on guiding farmer CEUBs and better aligning formal and informal energy strategies.
Journal Article
Clean and Affordable Energy within Sustainable Development Goals: The Role of Governance Digitalization
Achieving sustainable development goals depends on governance effectiveness within the penetration of digital technologies in all spheres and levels. Furthermore, the energy sector is a crucial inhibitor of sustainable development that depends on the efficacy of digital public services. In this case, the paper aims at analyzing the impact of e-governance on achieving sustainable development goals, particularly on affordable and clean energy. The object of research is EU countries in the period 2013–2019. The data are compiled from the databases of Eurostat, the World Data Bank, and the Sustainable Development Report. The study applies the following methods: the taxonomy method to measure the e-governance index, the fixed effect, the random effect, and a pooled OLS regression model to check the impact of e-governance on affordable and clean energy. The results outlined the leaders (Estonia, Denmark, Finland, Sweden, Latvia, and Malta) and the outsiders (Romania, Croatia, Greece, Bulgaria, and Poland) in e-governance in 2019. The findings confirm the statistically positive impact of e-governance on extending affordable and clean energy. Thus, improving e-governance by 1 point causes the growth of renewable energy on average by 4.4 points. Furthermore, the industrial structures’ improvement allows increasing renewable energy on average by 0.4 and the trade activization (economic openness) contributes to an increase of renewable energy on average by 0.1. The democracy level does not have a statistically significant impact on achieving sustainable development goals for EU countries. The empirical results show that the countries with high values of e-governance (Sweden, Latvia, Finland, Denmark, and Austria) achieve the highest values of the SDG7 Index Score. Thus, within EU countries, governance digitalization is the strategic inhibitor of SDG achievement.
Journal Article
Renewable energy for sustainable development in China: Discourse analysis
China is the world’s largest renewable energy installer with a capacity of 1020 gigawatts in 2021. This study aims to analyze the public discourse around China’s green energy and green technology and the paths to sustainable development by comparing public policy. The public discourse analysis approach and Grey Prediction Model are applied to analyze the motives for the distinct inferences being reached over the influences of renewable energy initiatives (REIs). The findings show that the modeling and assumptions are found different in theoretical perspectives, especially in the case of economic and environmental sustainability. The results are close to the other jurisdictions following REIs, including feed-in-tariff, standards and renewable liabilities. Based on statistics during 2012–2021 Five-year plan period, three major renewables are forecasted under base, reference and aggressive scenarios with interesting results. The wind would rise by 109 terawatt hours in an aggressive scenario while solar will rise from 83–99% with a rise of four times in the next decade. Finally, China’s current energy policy has been proven to be a series of effective public policies by making the discourse analysis, which can energetically widen the subsidy funds’ sources, discover miscellaneous financing techniques, standardized the subsidy process, supervise in applying the renewable energy technologies, and enhance the feed-in-tariff attraction of consumers and private investors.
Journal Article
Cleaner Technology and Natural Resource Management: An Environmental Sustainability Perspective from China
In economies, cleaner technology, increased demand for renewable energy, and more efficient use of natural resources contribute to meeting environmental sustainability targets. The Chinese economy is no exception in its attempts to conserve economic and natural resources via collaborative efforts to embrace cleaner technology, green energy sources, and resource conservation management to preserve resources for future generations. This research examines the influence of cleaner technologies, green energy sources, and natural resource management on reducing greenhouse gas emissions using quarterly data for the Chinese economy from 2000Q1 to 2020Q4. The findings demonstrate that increasing demand for green energy reduces greenhouse gas emissions, hence substantiating the premise of ‘green is clean’ energy development. Additionally, optimum resource usage enhances environmental quality, corroborating the ‘resource cleaner blessing’ hypothesis. The positive link between inward foreign direct investment and greenhouse gas emissions substantiates the ‘pollution haven’ concept, according to which inward foreign direct investment uses unsustainable technology in manufacturing processes, hence degrading air quality indicators. Inadequate access to clean cooking technology and increased population density has a detrimental effect on the country’s environmental sustainability agenda, which must be corrected via sustainable regulations. The causality estimates show the feedback relationship between renewable energy demand (and economic growth) and cleaner technology, between economic growth and green energy (and inbound foreign direct investment), and between population density and economic growth (and green energy). The Impulse Response function estimates suggested that economic growth and population density would likely increase GHG emissions. In contrast, cleaner technology, green energy demand, natural resource management, and inbound foreign direct investment would likely decrease greenhouse gas emissions for the next ten-year time period. The sustainability of the environment and natural resources in China is bolstered by developing cleaner technologies, a greater reliance on renewable energy sources, and better management of natural resources.
Journal Article
Towards a green economic policy framework in China: role of green investment in fostering clean energy consumption and environmental sustainability
Recently, China has relished rapid green investment, and its influence on clean energy consumption and environment is substantial. Therefore, this study scrutinizes the effects of green investment on clean energy consumption and CO2 emissions in China by using autoregressive distributed lag model (ARDL) approach over time from 1998 to 2019. The results show that green investment tends to have a positive effect on clean energy consumption in China in the long run. The outcomes of study also show that green investment also tends to have a negative effect on CO2 emissions in China, but it has a small effect on carbon emissions in magnitude in the long run. Importantly, possible channels revealed green investment encouraging consumers and producers to consume clean energy, thereby positively affecting the environmental quality in China. Other control variables’ findings show that environmental tax and financial development have increased the environmental quality by decreasing the CO2 emissions. Based on the findings, it recommends that green investment is considered necessary for encouraging clean energy consumption to reduce carbon emissions in high pollutant economies.
Journal Article
Trends and future challenges in hydrogen production and storage research
With the rapid industrialization, increasing of fossil fuel consumption and the environmental impact, it is an inevitable trend to develop clean energy and renewable energy. Hydrogen, for its renewable and pollution-free characteristics, has become an important potential energy carrier. Hydrogen is regarded as a promising alternative fuel for fossil fuels in the future. Therefore, it is very necessary to summarize the technological progress in the development of hydrogen energy and research the status and future challenges. Hydrogen production and storage technology are the key problems for hydrogen application. This study applied bibliometric analysis to review the research features and trends of hydrogen production and storage study. Results showed that in the 2004–2018 period, China, USA and Japan leading in these research fields, the research and development in the world have grown rapidly. However, the development of hydrogen energy still faces the challenge of high production cost and high storage requirements. Photocatalytic decomposition of water to hydrogen has attracted more and more research in hydrogen production research, and the development of new hydrogen storage materials has become a key theme in hydrogen storage research. This study provides a comprehensive review of hydrogen production and storage and identifies research progress on future research trend in these fields. It would be helpful for policy-making and technology development and provide suggestions on the development of a hydrogen economy.
Journal Article