Determining the factors driving China's industrial energy intensity: Evidence from technological innovation sources and structural change

2020 ◽  
Vol 737 ◽  
pp. 139767 ◽  
Author(s):  
Bingjiang Luan ◽  
Junbing Huang ◽  
Hong Zou ◽  
Cheng Huang
Keyword(s):  
Structural Change ◽  
Technological Innovation ◽  
Energy Intensity ◽  
Industrial Energy

Structural Change, Sector Disaggregation and Electricity Consumption in uk Industry

1994 ◽  
Vol 5 (1) ◽  
pp. 1-16 ◽  
Author(s):  
B.W. Ang ◽  
J.F. Skea
Keyword(s):  
Energy Consumption ◽  
Structural Change ◽  
Energy Intensity ◽  
Electricity Consumption ◽  
Output Growth ◽  
Decomposition Technique ◽  
Policies And Measures ◽  
Industrial Energy ◽  
Environmental Goals ◽  
Industrial Energy Consumption

This paper discusses the decomposition technique for identifying the relative contributions of output growth, structural change and energy intensity to changes in industrial energy consumption. Apart from providing a deeper understanding of evolving patterns of energy consumption, such studies may have a role to play in assessing the degree to which policies and measures have contributed to the achievement of energy and environmental goals. However, there are a number of problems associated with the technique that the analyst needs to be aware of in using it and in interpreting the results it gives. These problems are discussed through analyzing the data on electricity consumption in UK industry. In particular, the problem associated with sector disaggregation is dealt with in detail.

China’s Industrial Energy Intensity: Regional Differences and Influencing Factors

2013 ◽  
Vol 13 (17) ◽  
pp. 3604-3607 ◽  
Author(s):  
Jinkai Li ◽  
Bo Shen ◽  
Pei Miao ◽  
Yafeng Han ◽  
Jin Zhang
Keyword(s):  
Influencing Factors ◽  
Regional Differences ◽  
Energy Intensity ◽  
Industrial Energy

scholarly journals Evaluating the Effects of Energy Standards on Industrial Competitiveness: Evidence from Iran

2020 ◽  
Vol 1 (1) ◽  
pp. 1-6
Keyword(s):  
Price Index ◽  
Energy Intensity ◽  
Negative Impact ◽  
Positive Impact ◽  
Seemingly Unrelated Regression ◽  
Export Market ◽  
Annual Data ◽  
Industrial Competitiveness ◽  
Unrelated Regression ◽  
Industrial Energy

This research tends to investigate how industrial competitiveness could be affected by energy standards in case of Iran. Annual data on Competitiveness Industrial Index (CIP), Export Value Index (PX), Export Market Share (EMS), Industrial Energy Intensity (IEI), Manufacturing Price Index (MPI), and Total Factor Productivity (TFP) was used spanning the period 1990-2014. The results of the Seemingly Unrelated Regression (SUR) model confirmed the positive impact of PX, EMS, and TFP versus the negative impact of MPI, and the twofold impact of energy standards (IEI) on CPI.

scholarly journals Socio-Economic Productive Capacities and Energy Efficiency: Global Evidence by Income Level and Resource Dependence

2021 ◽  
Author(s):  
Mehmet Demiral ◽  
Özge Demiral
Keyword(s):  
Energy Efficiency ◽  
Structural Change ◽  
Low Income ◽  
Energy Intensity ◽  
Primary Energy ◽  
Information Communication ◽  
Energy Productivity ◽  
Middle Income ◽  
Income Groups ◽  
Primary Energy Supply

Abstract This study tests the effects of productive capacities in socio-economic factors (human capital, transport, information-communication technology, institutions, private sector, and structural change) on energy efficiency in a sample of 125 countries. Energy efficiency is assessed by energy productivity (gross domestic product per unit of total primary energy supply) and energy intensity (total primary energy supply per capita). The world sample is divided into four income groups and an income-heterogeneous control group of non-renewable resource-dependent economies. The study utilizes cross-sectionally dependent and stationary panel data over the period 2000-2018. The analysis of variance shows that higher income groups monotonically have higher productive capacities and energy intensity. The regression results from appropriate fixed-effects and random-effects modeling reveal varied driver and barrier influences of the socio-economic factors on energy efficiency improvements (higher energy productivity and lower energy intensity). In some cases, predictors scale up both energy productivity and energy intensity indicating the issue of the rebound effect. Higher human capital capacity stimulates energy efficiency except for middle-income groups. Higher transport capacity reduces energy productivity, except for upper-middle-income economies, and tends to increase energy intensity for low-income and middle-income groups. The deployment of information-communication technologies is positively associated with energy productivity, except for low-income economies. Energy productivity performance of resource-dependent economies is improved by higher productive capacities in institutions and private sectors but impaired by structural change, whereas structural change drives energy efficiency in low-income economies. Additionally, the growth of gross national income per capita worsens energy efficiency for resource-dependent economies. Bidirectional feedback causalities are established between energy efficiency and its predictors in most cases. The heterogeneous findings are discussed for providing research and policy implications.

scholarly journals Latvia’s Energy Efficiency Policy for the Manufacturing Industry in the Green Deal Transition

2020 ◽  
Author(s):  
◽  
Kristaps Ločmelis
Keyword(s):  
Energy Efficiency ◽  
Energy Intensity ◽  
Policy Instruments ◽  
Energy Efficiency Policy ◽  
Climate Targets ◽  
Audit Data ◽  
Industrial Energy ◽  
Future Policy ◽  
Climate Neutrality ◽  
The Impact

By 2030, the European Union (EU) must ensure a 32.5 % reduction in energy consumption compared to the 2007 baseline scenario projection. In Latvia in the period from 2021 to 2030 the cumulative energy efficiency savings of at least 73.7 PJ or 20.5 TWh are expected to be achieved, with the largest share of energy savings coming from the manufacturing sector. On December 11, 2019 the European Commission (EC) set out even more ambitious EU climate targets by publishing the European Green Deal, aiming at EU climate neutrality by 2050, which is not possible without the immediate and significant involvement of industry, while recognizing potential competitiveness risks with global players from countries and regions, where the level of ambition of climate targets lags behind the EU. Significantly, the European Green Deal does not offer to address the risks of industrial competitiveness through subsidies or tax rebates, but emphasizes the importance of energy efficiency policies in energy-intensive industries as one, if not the only, sustainable solution for maintaining global competitiveness. The aim of the study is to analyse Latvia’s energy efficiency and energy policy in relation to manufacturing industries, assessing the impact of existing policies on energy efficiency and reduction of carbon dioxide (CO2) emissions in the transition to climate neutrality defined in the European Green Deal, and provide recommendations for future policy instruments. The analysis includes a comparison of Latvia’s industrial energy intensity with other EU countries, as well as an assessment of the technical potential of energy efficiency in key Latvian manufacturing industries using industrial energy audit data and statistical data processing methods and benchmarking them with results of similar policy studies, assessing the potential for undiscovered energy efficiency and CO2 emission reduction potential in leading industries in Latvia. The dissertation is designed as a set of publications, which combines parts of scientific publications written during doctoral studies. The introduction reflects the aims and objectives of the study, as well as a brief description of its scientific and practical significance. The first chapter examines the existing energy efficiency policy, its goals and literature review of similar policies. The second chapter provides an analysis of Latvia’s industrial sectors, their energy intensity and CO2 emission intensity. The third chapter examines the impact of support policy for energy-intensive industrial enterprises on energy efficiency measures using system dynamics modelling, as well as quantifies these support measures. In the fourth chapter, a comparative analysis of industrial energy audit data in leading industries and an assessment of the undiscovered potential of energy efficiency is performed. In the fifth chapter, the analysis of Latvia’s energy efficiency targets for industry is performed, taking into account the historical and target data of industrial energy intensity and interpreting the necessary trajectory in the context of the European Green Deal. Finally, conclusions and recommendations for future policy instruments are provided.

scholarly journals Structural Change for a Post-Growth Economy: Investigating the Relationship between Embodied Energy Intensity and Labour Productivity

2020 ◽  
Vol 12 (3) ◽  
pp. 962 ◽  
Author(s):  
Lukas Hardt ◽  
John Barrett ◽  
Peter G. Taylor ◽  
Timothy J. Foxon
Keyword(s):  
Structural Change ◽  
Structural Changes ◽  
Energy Intensity ◽  
Labour Productivity ◽  
Meaningful Work ◽  
Embodied Energy ◽  
Or Education ◽  
Price Inflation ◽  
Service Sectors ◽  
The Uk

Post-growth economists propose structural changes towards labour-intensive services, such as care or education, to make our economy more sustainable by providing meaningful work and reducing the environmentally damaging production of material goods. Our study investigates the assumption underlying such proposals. Using a multi-regional input-output model we compare the embodied energy intensity and embodied labour productivity across economic sectors in the UK and Germany between 1995 and 2011. We identify five labour-intensive service sectors, which combine low embodied energy intensity with low growth in embodied labour productivity. However, despite their lower embodied energy intensities, our results indicate that large structural changes towards these sectors would only lead to small reductions in energy footprints. Our results also suggest that labour-intensive service sectors in the UK have been characterised by higher rates of price inflation than other sectors. This supports suggestions from the literature that labour-intensive services face challenges from increasing relative prices and costs. We do not find similar results for Germany, which is the result of low overall growth in embodied labour productivity and prices. This highlights that structural change is closely associated with economic growth, which raises the question of how structural changes can be achieved in a non-growing economy.

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