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194,391 result(s) for "Renewable energy technologies"
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How does renewable energy technology innovation affect manufacturing carbon intensity in China?
Renewable energy technology innovation (RETI) is a crucial driver for promoting the manufacturing green transformation. However, few studies have explored the impact of RETI on manufacturing carbon intensity (MCI) from the perspective of spatial spillover and regional boundary. Based on the manufacturing panel data of 30 provinces in China from 2006 to 2020, this study examines the mechanism, spatial spillover effects, regional boundaries, and industry heterogeneity of RETI on MCI using the spatial Durbin model. The results show that (1) RETI significantly inhibits local and neighboring MCI. (2) The spatial spillover effect of RETI on MCI has a significant regional boundary, which is inhibitory in the range of 800 km and shows a significant “half-decay” characteristic at 400 km. However, in the range of 800 to 1400 km, RETI significantly promotes neighboring MCI. (3) The inhibitory effect of RETI on MCI has temporal and regional heterogeneity, which gradually increases over time, and the effect from high to low is central, west, and east. (4) RETI has a significant inhibitory effect on MCI of pollution-intensive, high-income, capital-intensive, and labor-intensive manufacturing in local and neighboring areas, but it has a more negligible effect on non-pollution-intensive, low-income, and technology-intensive MCI. The findings provide empirical evidence for formulating targeted and differentiated policy in manufacturing low-carbon development.
How do different types of energy technological progress affect regional carbon intensity? A spatial panel approach
This paper investigated the spatial effects of two types of technological progress, namely renewable energy technology patents (RET patents) and energy conservation and emission reduction technology patents (ECERT patents), on carbon intensity of 30 provinces in China. Based on the 2005–2017 provincial panel dataset of China, this paper used the spatial Durbin model to analyze the spatial dependence and the spillover effects of surrounding provinces. The results first proved the existence of the spatial correlation in the carbon intensity across different provinces in China. Second, we found that the energy conservation and emission reduction technological progress can effectively reduce the province’s own carbon intensity; however, this role is not significantly reflected by the progress in renewable energy technologies. Nonetheless, both types of technological progress have negative indirect and total effects on carbon intensity, thereby indicating that, geographically, they have technology diffusion effects. At the same time, the results demonstrated that technology patents play a negative role in carbon intensity. Third, by taking the interaction item between energy consumption and renewable energy technology patents into consideration, it was observed that the progress in renewable energy technologies can reduce the carbon intensity, owing to its role in optimizing the energy consumption structure of the province, but increase the carbon intensity of the surrounding provinces. Finally, based on the abovementioned findings, this paper put forward corresponding policy proposals.
Renewable energy technology innovation and inclusive low-carbon development from the perspective of spatiotemporal consistency
As an emerging driving factor, the positive impact of renewable energy technology innovation (RETI) on inclusive low-carbon development (ILCD) may be undervalued or even neglected. This paper develops an evaluation system to measure China’s ILCD by using provincial panel data from 2006 to 2020. Based on the combined perspective of spatial spillover effect and threshold effect, this paper examines the spatial spillover effects and the regional boundary of RETI on ILCD in different periods and further analyzes five heterogeneities. The results show that (1) RETI and ILCD are increasing steadily, presenting a spatial pattern of “high in the east and low in the west.” (2) Overall, RETI significantly promotes ILCD in local and neighboring areas. RETI in the growth period inhibits local ILCD, which in the mature period promotes local and neighboring ILCD. (3) The spatial spillover boundary of the whole RETI is 1400 km, that of RETI in the growth period is 1000 km, and that of RETI in the mature period is 1600 km. (4) The promotion effect of RETI on ILCD enhances over time and shows a spatial pattern of “eastern > central > south > north > western.” It is further found that RETI strongly promotes ILCD in non-resource-based, high marketization, and strong environmental regulation areas. Therefore, it is necessary to break down administrative and market barriers, strengthen inter-regional cooperation and interconnection of resource elements, and establish a dynamic management mechanism of “one province, one policy” according to the regional heterogeneity for providing decision-making reference in promoting global energy transition and climate governance.
Renewable energy policy and deployment of renewable energy technologies: The role of resource curse
Due to the increasing emission of greenhouse gases and global warming, the development of renewable energy has become very important. The availability of fossil fuels and the low cost of their extraction compared to renewable energy projects reduce the motivation of countries, especially countries that have abundant natural resources, to develop this technology. Renewable energy deployment has become crucial in response to rising greenhouse gas emissions and global warming. Policies supporting renewable energy play a significant role in this. This study examines the effect of such policies on the deployment of renewable energy technologies, considering the role of natural resources. Two groups of countries were analysed: 20 oil developed countries and 20 oil developing countries. Given the availability of data and the achievement of balanced panels to evaluate short-term and long-term relationships between variables, in current research Data from 2010 to 2020 was used, and various panel data estimators such as Feasible Generalized Least Squares and Generalized Method of Moments were employed. The Quantile estimator was also used to assess the accuracy of the results. The findings suggest that renewable energy policies consistently lead to increased deployment of renewable energy technologies, regardless of a country's group. Of course, this positive effect is different according to the level of development in countries. Due to the higher efficiency of renewable energy policy, developed oil countries have more capacity to support renewable energy projects than oil developing countries. The abundance of natural resources in oil developed countries did not negatively impact renewable energy capacity, but in oil developing countries, the \" resource curse \" hindered the development of installed renewable energy.
Are we really addressing the roadblocks to adoption of renewable and sustainable energy technologies? Total interpretive structural modeling approach
Urban areas serve as a vital contribution to the global structural change towards renewable and sustainable energy technologies which also influence climate change. The aim of this paper is to identify the adoption roadblocks to renewable and sustainable urban energy technologies. This research has three parts: a mini-systematic literature study was conducted to identify the most prevalent roadblocks. Using total interpretive structural modeling (ISM), the relationships between the roadblocks and the source of causation were then examined. The roadblocks are classified based on their dependence and driving powers using MICMAC analysis in the third part of this research. The principal results and major conclusions demonstrate that all roadblocks are necessary for renewable and sustainable urban energy technologies. The roadblocks at level I are insufficient infrastructure, lack of coordination among authorities, lack of quality and reliable data and information, and competition with non-renewable technologies; roadblocks in level II are lack of skilled and trained personnel, limited public participation, awareness, and consumer interest, and lack of standardized technology; roadblock in level III is high initial investment cost; and lastly, roadblocks in level IV are lack of subsidies and financial support programs and absence of coherent related policies. Furthermore, as a result of the MICMAC analysis, none of the aforementioned roadblocks are classified as autonomous variables, implying that they are all required. The dependent roadblocks to renewable and sustainable energy technologies are defined as lack of coordination among authorities, lack of information, and competition with non-renewable technologies. Moreover, linkage roadblocks have high dependence and driving powers which are insufficient infrastructure, limited awareness and consumer interest, and lack of standardized technology. Lastly, high initial investment costs, lack of subsidies and financial support programs, absence of coherent related policies, and lack of skilled and trained personnel are the driving roadblocks with high driving power however not dependent.
Carbon emission reduction effect of renewable energy technology innovation: a nonlinear investigation from China’s city level
There has always been controversy over how renewable energy technologies can play a role in reducing carbon emissions. Based on the energy patent data and the economic data of 244 prefecture-level cities from 2007 to 2017 in China, we explore the carbon reduction effect of renewable energy technology and its mechanism from the perspective of energy production, conservation, and management. The two-way fixed effect, instrumental variable, spatial Durbin, and mediation effect models are employed to explore empirical results. We found that (1) the impact of renewable energy technologies on carbon emissions is nonlinear, with an inverted U shape. However, this inverted U-shaped relationship only exists locally in cities and there are uncertainties in adjacent cities, which indicates that cross-regional cooperation in renewable energy technology needs to be improved. (2) The mechanism analysis shows that industrial agglomeration and energy consumption scale are the channels that renewable energy technologies affect carbon emissions. Thus, the implicit carbon emissions generated by industrial agglomeration and the failure to green upgrade energy consumption are the main reasons for the inverted U-shaped relationship. (3) The carbon reduction effect of renewable energy technologies of conservation type takes effect first, and renewable energy technologies of production type do not reduce carbon emissions in non-eastern cities, which means that non-eastern cities are likely to become pollution havens. This study provides evidence for renewable energy technologies to achieve efficient carbon emission reduction and cross-regional technical cooperation.
Concentrating solar power in developing countries
At present, different concentrating solar thermal technologies (CST) have reached varying degrees of commercial availability. This emerging nature of CST means that there are market and technical impediments to accelerating its acceptance, including cost competitiveness, an understanding of technology capability and limitations, intermittency, and benefits of electricity storage. Many developed and some developing countries are currently working to address these barriers in order to scale up CST-based power generation.Given the considerable growth of CST development in several World Bank Group partner countries, there is a need to assess the recent experience of developed countries in designing and implementing regulatory frameworks and draw lesson that could facilitate the deployment of CST technologies in developing countries. Merely replicating developed countries’ schemes in the context of a developing country may not generate the desired outcomes.Against this background, this report (a) analyzes and draws lessons from the efforts of some developed countries and adapts them to the characteristics of developing economies; (b) assesses the cost reduction potential and economic and financial affordability of various CST technologies in emerging markets; (c) evaluates the potential for cost reduction and associated economic benefits derived from local manufacturing; and (d) suggests ways to tailor bidding models and practices, bid selection criteria, and structures for power purchase agreements (PPAs) for CST projects in developing market conditions.
Exploring the spatial pattern of renewable energy technology innovation: evidence from China
Considering the obvious regional differences in China, research on the drivers for renewable energy technology innovation (RETI) needs to fully consider the spatial factors. Based on the expanded function of knowledge production, which includes the human capital, institutional quality, and industrial scale, and using panel data from 29 provinces during 2006–2017, this study examines the factors promoting RETI by employing spatial regression methods. The results show that RETI presents moderate spatial agglomeration and spatial heterogeneity. Human capital, enterprise R&D intensity, and research institution R&D intensity have a significant driving effect on the local RETI, and the university R&D intensity, institutional quality, and industrial scale have no significant contribution. Human capital is the most important factor driving the local RETI, and enterprise R&D intensity has the strongest spatial spillover effect on the RETI of the surrounding provinces. In addition, the R&D intensity of enterprises and research institutions can enhance the local RETI and also significantly promote RETI in surrounding provinces through the spatial spillover effect. In contrast, human capital has played a significant driving role in the local RETI, whereas its spatial spillover effect on the surrounding provinces is not obvious. Therefore, the direct and spatial spillover effects of enterprise R&D intensity and research institution R&D intensity should be fully considered in policy making. In addition, effective policies should be formulated to break the block division of human capital investment and to promote the optimized allocation of talented people in order to better promote RETI in China.
The Road to Eliminating Energy Poverty: Does Renewable Energy Technology Innovation Work?
Under the constraint of carbon neutrality targets, the issue of energy poverty has garnered increasing concerns. This study aims to measure energy poverty and assess the impact of renewable energy technology innovation in 30 provinces across China. Furthermore, it calculates city-level energy poverty in 274 cities. By examining the influence of renewable energy technology innovation on energy poverty, this study proposes a new approach to accelerate energy transition and promote sustainable development. The regression results, which have undergone rigorous robustness and endogeneity tests, demonstrate that renewable energy technology innovation significantly alleviates energy poverty. Moreover, the treatment effect of policies is determined through the regression control method. Specifically, the cities of Zhangjiakou, Baotou, and Qiqihar are analyzed to provide targeted suggestions for China’s energy development. The treatment effects of both provincial and city-level policies indicate that implementing renewable energy demonstration zones can effectively alleviate energy poverty. JEL Classification: Q48; O31
Strategic planning and challenges to the deployment of renewable energy technologies in the world scenario: its impact on global sustainable development
To achieve the solutions to environmental problems that the world is facing in the current scenario, possible enduring actions projected to attain global sustainable developments are needed. Today, the world needs clean energy revolution to decline necessity towards fossil fuels; such a vital clean energy revolution may enhance the implementation of renewable energy technologies (RETs). The RETs have the unique capabilities to accomplish the requirements for energy and its associated services to ensure human societal and economic improvement; however, to make it successful, it must be sustainable globally. The present article describes the possible contribution associated with the RET to the three segments of sustainability. It enhances sustainability indicators like energy access and energy security; these impacts encourage the permanent societal and economic development. Irrespective of such opportunities, there are certain obstacles hindering sustainability of RERs towards sustainable development. These obstacles comprise market failures, lack of awareness, environmental, as well as institutional challenges. The proposed analysis and policy recommendations together will help to accomplish the goal of sustainability and mitigation of climate change. Also, it may decrease greenhouse gas emissions and provide healthy environment with clean energy for the present, as well as future, generations.