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Anđelka Plenkovicmoraj - One of the best experts on this subject based on the ideXlab platform.
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research on the Industrial Energy eco efficiency evolution characteristics of the yangtze river economic belt in the temporal and spatial dimension china
International Journal of Environmental Research and Public Health, 2019Co-Authors: Zhonglin Tang, Min Fu, Anđelka PlenkovicmorajAbstract:Based on the panel data of the 11 provinces along the Yangtze River Economic Belt from 1997 to 2015, the super slack-based model (Super-SBM) model is adopted to calculate the provincial-level eco-efficiency of Industrial Energy. While bringing in time series analysis and spatial differentiation feature analysis, the traditional and spatial Markov probability transition matrix is established. This study delves into the spatial-temporal dynamic evolution traits of the eco-efficiency of Industrial Energy along the Yangtze River Economic Belt. According to the results: the eco-efficiency of Industrial Energy of the Yangtze River Economic Belt manifests “single crest” evolution and distribution traits from left to right and top to bottom, indicating that the eco-efficiency of Industrial Energy of the Yangtze River Economic Belt is steadily improving gradually. However, the overall level is still low and there is still ample room for the improvement of the eco-efficiency of Industrial Energy. Furthermore, the eco-efficiency of Industrial Energy along the Yangtze River Economic Belt is elevating. The geographical spatial pattern plays a pivotal role in the spatial and temporal evolution of eco-efficiency of Industrial Energy, and the spatial agglomeration traits are noticeable.
Lester C. Hunt - One of the best experts on this subject based on the ideXlab platform.
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Modelling Industrial Energy demand in Saudi Arabia
Energy Economics, 2020Co-Authors: Shahad Alarenan, Anwar A. Gasim, Lester C. HuntAbstract:Abstract Between 1986 and 2016, Industrial Energy consumption in Saudi Arabia increased by tenfold, making it one of the largest end-use sectors in the Kingdom. Despite its importance, there appear to be no published econometric studies on aggregate Industrial Energy demand in Saudi Arabia. We model aggregate Industrial Energy demand in Saudi Arabia using Harvey’s (1989) Structural Time Series Model, showing that it is both price and income inelastic, with estimated long-run elasticities of −0.34 and 0.60, respectively. The estimated underlying Energy demand trend suggests improvements in Energy efficiency starting from 2010. Applying decomposition analysis to the estimated econometric equation highlights the prominent roles of the activity effect (the growth in Industrial value added) and the structure effect (the shift towards Energy-intensive production) in driving Industrial Energy demand growth. Moreover, the decomposition shows how exogenous factors such as Energy efficiency helped mitigate some of that growth, delivering cumulative savings of 6.8 million tonnes of oil equivalent (Mtoe) between 2010 and 2016. Saudi Arabia implemented a broad Energy price reform program in 2016, which raised electricity, fuel, and water prices for households and industry. The decomposition results reveal that, holding all else constant, higher Industrial Energy prices in 2016 reduced the sector’s Energy consumption by 6.9 %, a decrease of around 3.0 Mtoe. Saudi policymakers could therefore build on the current policy of Energy price reform and Energy efficiency standards to mitigate the rate of growth of Industrial Energy consumption, increase economic efficiency, and maintain Industrial sector competitiveness.
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modelling oecd Industrial Energy demand asymmetric price responses and Energy saving technical change
Energy Economics, 2007Co-Authors: Olutomi Ibukunolu Adeyemi, Lester C. HuntAbstract:The Industrial sector embodies a multifaceted production process consequently modelling the ‘derived demand’ for Energy is a complex issue; made all the more difficult by the need to capture the effect of technical progress of the capital stock. This paper is an exercise in econometric modelling of Industrial Energy demand using panel data for 15 OECD countries over the period 1962 – 2003 exploring the issue of Energy-saving technical change and asymmetric price responses. Although difficult to determine precisely, it is tentatively concluded that the preferred specification for OECD Industrial Energy demand incorporates asymmetric price responses but not exogenous Energysaving technical change.
Junping Ji - One of the best experts on this subject based on the ideXlab platform.
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the impact of Industrial structure efficiency on provincial Industrial Energy efficiency in china
Journal of Cleaner Production, 2019Co-Authors: Siqin Xiong, Junping JiAbstract:Abstract Regional disparity in terms of Industrial Energy efficiency is noticeable in China due to the unbalanced economic progress in past decades. Analyzing the provincial Industrial Energy efficiency and its influencing factors is of great significance to formulate differentiated policies. To date, the influence of many social-economic factors on the Industrial Energy efficiency have been examined but the impact of the inter-industry structure has almost been ignored. In this paper, the slacks-based measure model incorporating undesirable output is applied to evaluate the Industrial Energy efficiency both at the provincial level and the sectoral level in China for the period 2010 to 2016. Then, Industrial structure efficiency is introduced, which reflects the inter-industry structure and takes the sectoral-level Energy efficiency into consideration. And the impact of the Industrial structure efficiency on provincial Industrial Energy efficiency is tested by Tobit regression model. The results show that huge discrepancies of provincial Industrial Energy efficiency exist and the Industrial structure efficiency is confirmed to be a determinative factor to the provincial Industrial Energy efficiency, with the coefficient of 0.525. Policy recommendations are provided for adjusting the provincial inter-industry structure and improving the Industrial Energy efficiency.
Zhonglin Tang - One of the best experts on this subject based on the ideXlab platform.
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research on the Industrial Energy eco efficiency evolution characteristics of the yangtze river economic belt in the temporal and spatial dimension china
International Journal of Environmental Research and Public Health, 2019Co-Authors: Zhonglin Tang, Min Fu, Anđelka PlenkovicmorajAbstract:Based on the panel data of the 11 provinces along the Yangtze River Economic Belt from 1997 to 2015, the super slack-based model (Super-SBM) model is adopted to calculate the provincial-level eco-efficiency of Industrial Energy. While bringing in time series analysis and spatial differentiation feature analysis, the traditional and spatial Markov probability transition matrix is established. This study delves into the spatial-temporal dynamic evolution traits of the eco-efficiency of Industrial Energy along the Yangtze River Economic Belt. According to the results: the eco-efficiency of Industrial Energy of the Yangtze River Economic Belt manifests “single crest” evolution and distribution traits from left to right and top to bottom, indicating that the eco-efficiency of Industrial Energy of the Yangtze River Economic Belt is steadily improving gradually. However, the overall level is still low and there is still ample room for the improvement of the eco-efficiency of Industrial Energy. Furthermore, the eco-efficiency of Industrial Energy along the Yangtze River Economic Belt is elevating. The geographical spatial pattern plays a pivotal role in the spatial and temporal evolution of eco-efficiency of Industrial Energy, and the spatial agglomeration traits are noticeable.
Olutomi Ibukunolu Adeyemi - One of the best experts on this subject based on the ideXlab platform.
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Modelling OECD Industrial Energy demand
2008Co-Authors: Olutomi Ibukunolu AdeyemiAbstract:Given the importance of the global environmental agenda, never before has it been so important to understand the determinants of Industrial Energy demand in the developed world to aid international policy makers in their deliberations. They need sound and dependable models to support their projections of future Industrial Energy demand to underpin policy; for example to grant emission trading permits. Therefore, never has it been more important to obtain 'good' estimates for Energy demand as well as of the best way to specify and understand technical change. Previous research has attempted to resolve the debate on finding the appropriate way to measure technical progress in Energy demand models without a definite consensus. Arguably more recent research has narrowed the debate to two competing methodologies - Asymmetric Price Responses (APR) and Underlying Energy Demand Trends (UEDT) - as a means of accounting for technical progress in Energy demand models. This research has therefore used these competing methodologies within a panel data and time series modelling context. The time series methodology attempts to uncover the UEDT using the structural time series modelling (STSM) framework, while the panel data methodology seeks to uncover technical progress through the use of APR and fixed time dummies. This thesis, as part of this debate, uses both methodologies to investigate OECD Industrial Energy demand, with a view to obtaining an 'appropriate' model for Energy demand in the Industrial sector. In order to achieve this objective, three models are used to evaluate OECD Industrial Energy demand in a panel data context and a time series context. These are the asymmetry model without stochastic trend, the symmetric model with stochastic trend, and the asymmetric model with stochastic trend. Results from the time series analysis indicate that the data on OECD Industrial Energy demand strongly support the inclusion of a stochastic trend in the models. Although it is very difficult to obtain consistent estimates across different data sets, the results and tests from the panel data modelling framework supports the use of APR in explaining technical progress in the OECD Industrial sector in the longer data sets while it incorporates an exogenous trend in the shorter data sets.
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modelling oecd Industrial Energy demand asymmetric price responses and Energy saving technical change
Energy Economics, 2007Co-Authors: Olutomi Ibukunolu Adeyemi, Lester C. HuntAbstract:The Industrial sector embodies a multifaceted production process consequently modelling the ‘derived demand’ for Energy is a complex issue; made all the more difficult by the need to capture the effect of technical progress of the capital stock. This paper is an exercise in econometric modelling of Industrial Energy demand using panel data for 15 OECD countries over the period 1962 – 2003 exploring the issue of Energy-saving technical change and asymmetric price responses. Although difficult to determine precisely, it is tentatively concluded that the preferred specification for OECD Industrial Energy demand incorporates asymmetric price responses but not exogenous Energysaving technical change.