The Experts below are selected from a list of 11907 Experts worldwide ranked by ideXlab platform
Boqiang Lin - One of the best experts on this subject based on the ideXlab platform.
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estimating energy conservation potential in china s energy intensive industries with Rebound Effect
Journal of Cleaner Production, 2017Co-Authors: Boqiang Lin, Ruipeng TanAbstract:Abstract The energy consumption of China’s six most energy-intensive sub-industries is about half of the total national energy consumption, and accounts for more than 70% of industrial energy consumption in recent years. These six industries are capital and energy intensive and have a great impact on the energy consumption of China, so they are directly related to the achievement of the energy conservation goal in the 13th Five Year Plan. This paper investigates the influential factors of energy consumption in the industries by employing the cointegration method, and estimates the possible energy conservation potential considering energy Rebound Effect. The results show that GDP and the scale of industries are the deterministic factors increasing energy consumption, while R&D intensity decreases it. Energy price has little impact on energy consumption. The average energy Rebound Effect is calculated using the latent variable approach and the result is 90.75%. Considering energy Rebound Effect, the energy conservation potential of China’s energy intensive industries is 14.18–26.54 million tons of standard coal equivalent in 2020 and 44.64–80.72 million tons of standard coal equivalent in 2030.
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Rebound Effect by incorporating endogenous energy efficiency: A comparison between heavy industry and light industry
Applied Energy, 2017Co-Authors: Boqiang LinAbstract:Abstract Energy resource depletion and environmental degradation have become big challenges for China's sustainable development. Energy efficiency improvement is usually regarded as an major pathway for reducing the pressure on energy and the environment. However, this would be undermined by the Rebound Effect, because the Rebound Effect would partially or even totally offset the anticipated of efficiency improvement. Evidence of the Rebound Effect has important implications for the economic, resource and environmental consequences of improving energy efficiency, as well as enables policy makers to take informed decisions on energy and environmental issues. In this paper, we incorporate the endogenous energy efficiency into the model specification of Rebound Effect, and build a unified comprehensive framework for analyzing Rebound Effect and related issues. We applied this framework to conduct empirical analysis and comparison of heavy and light industries, considering heterogeneity across sub-industries. Furthermore, this paper goes beyond simple estimation of Rebound Effect, and takes additional effort to highlight the policy application via combining energy subsidies and technological progress with Rebound Effect.
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technological progress and energy Rebound Effect in china s textile industry evidence and policy implications
Renewable & Sustainable Energy Reviews, 2016Co-Authors: Boqiang Lin, Hongli ZhaoAbstract:Although energy efficiency improvement can reduce energy consumption, reduction of the Effective price will also increase the demand for energy services. Part of this reduction is then offset because of the energy efficiency improvement. The magnitude of this energy Rebound Effect is one of the important factors that must be considered in the formulation and implementation of energy policies. The textile industry is a traditional pillar industry in China. It is an important part of the national economy and contributes significantly to international trade. This study uses the Morishima elasticities of substitution (MES) model combined with asymmetric energy prices, trans-log cost function, and other econometric methods to establish a framework to measure the Rebound Effect in China׳s textile industry. The empirical results of this paper indicate that the Rebound Effect for China׳s textile industry is 20.991%. This reveals that energy efficiency improvement is conducive for energy saving to a certain degree. Notwithstanding, these results also prove that energy efficiency improvement is not the only way for China׳s textile industry to realize energy saving and emission reduction. Finally, based on the analysis, future policy priorities are suggested.
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comments on using latent variable approach to estimate china s economy wide energy Rebound Effect over 1954 2010 by shuai shao tao huang and lili yang
Energy Policy, 2015Co-Authors: Boqiang LinAbstract:Abstract In a recent article, Shao et al. (2014) formulate economy-wide energy Rebound Effect based on the IPAT equation and employ latent variable approach for estimation. We argue that their formulation should be revised, and advocate the distinguishment between energy efficiency improvement and technological progress for estimating energy Rebound Effect. An application to estimate China's energy Rebound Effect over 1981–2011 is also provided.
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Measuring energy Rebound Effect in the Chinese economy: An economic accounting approach
Energy Economics, 2015Co-Authors: Boqiang LinAbstract:Estimating the magnitude of China's economy-wide Rebound Effect has attracted much attention in recent years. Most existing studies measure the Rebound Effect through the additional energy consumption from technological progress. However, in general technological progress is not equivalent to energy efficiency improvement. Consequently, their estimation may be misleading. To overcome the limitation, this paper develops an alternative approach for estimating energy Rebound Effect. Based on the proposed approach, China's economy-wide energy Rebound Effect is revisited. The empirical result shows that during the period 1981–2011 the Rebound Effects in China are between 30% and 40%, with an average value of 34.3%.
Zhaohua Wang - One of the best experts on this subject based on the ideXlab platform.
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exploring the energy consumption Rebound Effect of industrial enterprises in the beijing tianjin hebei region
Energy Efficiency, 2019Co-Authors: Guo Li, Zhaohua WangAbstract:High energy conservation and emission reduction (ECER) requirements across industries in the Beijing–Tianjin–Hebei (BTH) region have been proposed along with the transformation of China’s economic development mode. However, the energy consumption Rebound Effect, as an important proxy for achieving sustainable low-carbon development, has not been adequately investigated across industrial enterprises in this area. This study adopts an alternative estimation model based on neoclassical economic theory to measure the energy Rebound Effect of industrial enterprises in the BTH region from 1996 to 2015. Four main results are obtained. First, the energy Rebound Effects in Beijing, Tianjin, and Hebei are significantly different in the temporal and spatial dimensions. Second, technological progress does not reduce energy consumption, and the local government must simultaneously consider technological progress, industrial structure, and policy formulation to achieve the ECER goals. Third, ECER policies combined with government administrative measures do not have an impact on reducing energy consumption. Fourth, in the process of implementing the integration development of the BTH region, Hebei faces greater pressure to attain ECER goals in the future than the other regions. This study provides suggestions based on these derived results from the perspectives of market-oriented measures, management factors, development mode, and regional cooperation to achieve the sustainable development of the BTH region.
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Measurement of energy Rebound Effect in households: Evidence from residential electricity consumption in Beijing, China
Renewable and Sustainable Energy Reviews, 2016Co-Authors: Zhaohua Wang, Bai HanAbstract:Abstract Energy efficiency improvement policies have special significance for carbon emissions reduction and the mitigation of the Effects of climate change. However the energy Rebound Effect caused by technological progress will indirectly increase energy consumption. The magnitude of the Rebound Effect largely determines the Effectiveness of energy efficiency in mitigating energy consumption. This study reviews the main theory behind estimated methods of energy Rebound Effect measurement, focuses on constructing a double logarithm energy demand model and an error correction model of the asymmetric demand responses of electricity price changes to empirically analyse the direct Rebound Effect on residential electricity use in Beijing. It integrates consumer׳s demand theory with the embodied electricity of household spending from a seven-sector environmental energy-input–output (E-I-O) analysis to estimate the indirect Rebound Effect. The three income-elasticity, weight change, and proportional re-spending scenario simulation results show that: residential electricity use in Beijing exhibits a partial Rebound Effect, and the long-term direct and indirect Rebound Effects are 46% to 56%, and the short-term direct Rebound Effect is 24% to 37%. Finally, the direct and indirect energy Rebound Effect for various income groups needs further research. An appropriate policy mix should be adopted to mitigate Effectively the Rebound Effect in China’s current lower energy price and lower energy efficiency market.
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an empirical study of direct Rebound Effect for road freight transport in china
Applied Energy, 2014Co-Authors: Zhaohua WangAbstract:Improving energy efficiency has been considered as a major approach to reduce transportation fuel consumption, whereas its Effectiveness that reduced transportation cost may lead to incremental energy use-i.e., a “direct Rebound Effect”. This paper provides a critical review of direct Rebound Effect literature, adopts a double logarithmic regression equation and a error correction model respectively to measure the magnitude of long-term and short-term direct Rebound Effects by 31 provincial panel data of China from 1999 to 2011. The empirical study shows that: in aspect of long term, a partial Rebound Effect exist in Chinese road freight transportation department, and its magnitude of entire nation, eastern, central and western regions are 84%, 52%, 80% and 78%. A majority of the expected energy reduction from efficiency improvement could be offset due to the existence of Rebound Effect; independent policy of improving energy efficiency is not as Effective as people expected. In aspect of short term, a tiny super conservation Effect exists in Chinese road freight transportation department. Further investigation indicated that direct Rebound Effect for road freight transportation tends to decline as growth rate of urbanization decrease.
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Direct Rebound Effect on urban residential electricity use: An empirical study in China
Renewable and Sustainable Energy Reviews, 2014Co-Authors: Zhaohua Wang, Jian-cai WangAbstract:Abstract Though improving energy efficiency is an important approach to decrease the energy consumption, the Rebound Effect caused by technology progress negatively affects the Effectiveness of energy efficiency policies. This paper empirically investigates direct Rebound Effect of urban residential electricity use in China. Using China's 30 provincial government panel data from1996 to 2010, we build a co-integration equation and a panel error correction model to analyze the direct Rebound Effect. The results indicate that an obvious Rebound Effect in the Chinese urban residential electricity consumption does exist. Specifically, the long-term Rebound Effect is 0.74, while the short-term Rebound Effect is 0.72. Therefore, the Rebound Effect significantly impairs functions of energy efficiency policies. For this reason, Chinese government should take the Rebound Effect into consideration when formulating energy policies.
Hua-rong Peng - One of the best experts on this subject based on the ideXlab platform.
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exploring the direct Rebound Effect of residential electricity consumption an empirical study in china
Applied Energy, 2017Co-Authors: Yue Jun Zhang, Hua-rong PengAbstract:Abstract Due to the energy Rebound Effect, the electricity conservation brought about by improving the electricity efficiency of China’s households may be not as much as expected. Therefore, this paper employs the panel threshold model to investigate the direct Rebound Effect of China’s residential electricity consumption under different kinds of regimes and its main influencing factors during 2000–2013. The results show that, first, the direct Rebound Effect (RE) of China’s residential electricity consumption is about 72% on average. Second, the direct RE is about 68% (55%) in the low (high) income regime, and the increase in GDP per capita may help to reduce the direct RE. Third, the direct RE is around 75% (90%) in the low (high) cooling degree days regime, and the decrease in cooling degree days may reduce the direct RE. Fourth, the direct RE is around 68% (86%) in the light (heavy) rainfall regime, and the decrease of rainfall may help to reduce the direct RE. Finally, GDP per capita and population have significant positive impact on residential electricity consumption; while the impact of cooling degree days and rainfall appears relatively weaker.
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Energy Rebound Effect in China's Industry: An aggregate and disaggregate analysis
Energy Economics, 2017Co-Authors: Yue Jun Zhang, Hua-rong Peng, Bin SuAbstract:Considering the crucial role of industrial sectors in energy conservation, this paper investigates the impact of output growth on energy consumption in China's industrial sectors with an index decomposition model and the energy Rebound Effect in the industrial sectors with a panel data model using the annual data during 1994–2012. The empirical results indicate that: first, industrial output growth is proved to be the major factor in promoting industrial energy consumption, while energy intensity reduction and structure shifts across industrial sub-sectors play the dominant roles in slowing down industrial energy consumption. Second, there does exist energy Rebound Effect in China's aggregate Industry, which ranges from 20% to 76% during 1995–2012 (or 39% on average). In particular, the energy Rebound Effect in Manufacturing is relatively smaller during the sample period (i.e., 28% on average). Finally, the energy Rebound Effect in both China's aggregate Industry and Manufacturing exhibit an overall decreasing trend over time.
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direct energy Rebound Effect for road passenger transport in china a dynamic panel quantile regression approach
Energy Policy, 2015Co-Authors: Yue Jun Zhang, Hua-rong PengAbstract:The transport sector appears a main energy consumer in China and plays a significant role in energy conservation. Improving energy efficiency proves an Effective way to reduce energy consumption in transport sector, whereas its Effectiveness may be affected by the Rebound Effect. This paper proposes a dynamic panel quantile regression model to estimate the direct energy Rebound Effect for road passenger transport in the whole country, eastern, central and western China, respectively, based on the data of 30 provinces from 2003 to 2012. The empirical results reveal that, first of all, the direct Rebound Effect does exist for road passenger transport and on the whole country, the short-term and long-term direct Rebound Effects are 25.53% and 26.56% on average, respectively. Second, the direct Rebound Effect for road passenger transport in central and eastern China tends to decrease, increase and then decrease again, whereas that in western China decreases and then increases, with the increasing passenger kilometers. Finally, when implementing energy efficiency policy in road passenger transport sector, the Effectiveness of energy conservation in western China proves much better than that in central China overall, while the Effectiveness in central China is relatively better than that in eastern China.
Yue Jun Zhang - One of the best experts on this subject based on the ideXlab platform.
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exploring the direct Rebound Effect of residential electricity consumption an empirical study in china
Applied Energy, 2017Co-Authors: Yue Jun Zhang, Hua-rong PengAbstract:Abstract Due to the energy Rebound Effect, the electricity conservation brought about by improving the electricity efficiency of China’s households may be not as much as expected. Therefore, this paper employs the panel threshold model to investigate the direct Rebound Effect of China’s residential electricity consumption under different kinds of regimes and its main influencing factors during 2000–2013. The results show that, first, the direct Rebound Effect (RE) of China’s residential electricity consumption is about 72% on average. Second, the direct RE is about 68% (55%) in the low (high) income regime, and the increase in GDP per capita may help to reduce the direct RE. Third, the direct RE is around 75% (90%) in the low (high) cooling degree days regime, and the decrease in cooling degree days may reduce the direct RE. Fourth, the direct RE is around 68% (86%) in the light (heavy) rainfall regime, and the decrease of rainfall may help to reduce the direct RE. Finally, GDP per capita and population have significant positive impact on residential electricity consumption; while the impact of cooling degree days and rainfall appears relatively weaker.
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Energy Rebound Effect in China's Industry: An aggregate and disaggregate analysis
Energy Economics, 2017Co-Authors: Yue Jun Zhang, Hua-rong Peng, Bin SuAbstract:Considering the crucial role of industrial sectors in energy conservation, this paper investigates the impact of output growth on energy consumption in China's industrial sectors with an index decomposition model and the energy Rebound Effect in the industrial sectors with a panel data model using the annual data during 1994–2012. The empirical results indicate that: first, industrial output growth is proved to be the major factor in promoting industrial energy consumption, while energy intensity reduction and structure shifts across industrial sub-sectors play the dominant roles in slowing down industrial energy consumption. Second, there does exist energy Rebound Effect in China's aggregate Industry, which ranges from 20% to 76% during 1995–2012 (or 39% on average). In particular, the energy Rebound Effect in Manufacturing is relatively smaller during the sample period (i.e., 28% on average). Finally, the energy Rebound Effect in both China's aggregate Industry and Manufacturing exhibit an overall decreasing trend over time.
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The direct and indirect CO2 Rebound Effect for private cars in China
Energy Policy, 2017Co-Authors: Yue Jun Zhang, Zhao Liu, Chang-xiong Qin, Tai-de TanAbstract:The quantity of China's private cars has increased dramatically in the past decade, which has become one of the key sources of carbon emission and air pollution in the cities of China. In theory, to improve energy efficiency can reduce carbon emission significantly, but the result may be affected by the Rebound Effect. This paper utilizes a two-stage Almost Ideal Demand System (AIDS) model to estimate the total CO2 Rebound Effect for China's private cars during 2001–2012 at the provincial level, then uses a panel data model to analyze its impact factors. The results suggest that, first of all, the CO2 emissions of private cars have the super conservation Effect, partial Rebound Effect and backfire Effect among provinces in China. And the direct CO2 Rebound Effect plays a dominant role in the total CO2 Rebound Effect in most provinces. Second, the total CO2 Rebound Effect of private cars among China's provinces presents an overall convergence trend over time. Finally, the household expenditure and the population density have a negative and positive influence on the total CO2 Rebound Effect for China's private cars, respectively.
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direct energy Rebound Effect for road passenger transport in china a dynamic panel quantile regression approach
Energy Policy, 2015Co-Authors: Yue Jun Zhang, Hua-rong PengAbstract:The transport sector appears a main energy consumer in China and plays a significant role in energy conservation. Improving energy efficiency proves an Effective way to reduce energy consumption in transport sector, whereas its Effectiveness may be affected by the Rebound Effect. This paper proposes a dynamic panel quantile regression model to estimate the direct energy Rebound Effect for road passenger transport in the whole country, eastern, central and western China, respectively, based on the data of 30 provinces from 2003 to 2012. The empirical results reveal that, first of all, the direct Rebound Effect does exist for road passenger transport and on the whole country, the short-term and long-term direct Rebound Effects are 25.53% and 26.56% on average, respectively. Second, the direct Rebound Effect for road passenger transport in central and eastern China tends to decrease, increase and then decrease again, whereas that in western China decreases and then increases, with the increasing passenger kilometers. Finally, when implementing energy efficiency policy in road passenger transport sector, the Effectiveness of energy conservation in western China proves much better than that in central China overall, while the Effectiveness in central China is relatively better than that in eastern China.
Tooraj Jamasb - One of the best experts on this subject based on the ideXlab platform.
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energy efficiency and Rebound Effect in european road freight transport
Transportation Research Part A-policy and Practice, 2017Co-Authors: Manuel Llorca, Tooraj JamasbAbstract:Energy efficiency has become a primary energy policy goal in Europe and many countries and has conditioned the policies towards energy-intensive sectors such as road freight transport. However, energy efficiency improvements can lead to changes in the demand for energy services that offset some of the achieved energy savings in the form of Rebound Effects. Consequently, forecasts of energy savings can be overstated. This paper analyses the energy efficiency and Rebound Effects for road freight transport in 15 European countries during the 1992–2012 period. We use a recent methodology to estimate an energy demand function using a stochastic frontier analysis approach and examine the influence of key features of Rebound Effect in the road freight transport sector. We obtain, on average, a fuel efficiency of 89% and a Rebound Effect of 4%. Our results indicate that the achieved energy efficiencies are retained to a large extent. We also find, among other results, that the Rebound Effect is higher in countries with higher fuel efficiency and better quality of logistics. Finally, a simulation analysis shows significant environmental externalities costs even in countries with lower Rebound Effect.
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Energy efficiency and Rebound Effect in European road freight transport
2016Co-Authors: Manuel Llorca, Tooraj JamasbAbstract:Energy efficiency has become a primary energy policy goal in Europe and many other countries and has conditioned the policies towards energy-intensive sectors such as road freight transport. However, energy efficiency improvements can lead to changes in the demand for energy services that offset some of the expected energy savings in the form of Rebound Effects. Consequently, forecasts of energy savings can be overstated. This paper analyses the energy efficiency and Rebound Effects for road freight transport in 15 European countries during the 1992-2012 period. We use a recent methodology to estimate an energy demand function using a stochastic frontier analysis approach and examine the influence of key features of Rebound Effect in the road freight transport sector. We obtain on average a fuel efficiency of 91% and a Rebound Effect of 18%. Our results indicate that the achieved energy efficiencies are retained to a large extent. We also find, among other results, that the Rebound Effect is higher in countries with higher fuel efficiency and better quality of logistics. Finally, a simulation analysis shows significant environmental externalities costs even in countries with lower Rebound Effect.
