Trade-facilitated technology spillovers in energy productivity convergence processes across EU countries

Wan, Junwei; Baylis, Katherine R.; Mulder, Peter

doi:10.1016/j.eneco.2014.12.014

Cited by 72 publications

(47 citation statements)

References 91 publications

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“…Overall, we find evidence of a beta-convergence process in energy productivity growth for the full sample countries. This result is consistent with the results of Markandya et al (2006) and Wan et al (2013), who found the convergence in energy intensity or productivity from EU countries. In addition, similar results were obtained by Yu (2012) for a panel of 30 provinces of China.…”

Section: Beta-csupporting

confidence: 83%

“…More recently, three studies (Mulder et al, 2011;Yu, 2012;Wan et al, 2013) have primarily focused on convergence of energy intensity or productivity using the spatial panel data technique. Mulder et al (2011) investigated the global energy productivity trends covering the period 1971-2001.…”

Section: Introductionmentioning

confidence: 99%

“…Yu (2012) investigated the influential factors of China's regional energy intensity using the spatial panel data models for the period 1988-2007 and found the notable spillover effect between eastern and western China as well as the existence of the absolute beta-convergence of provincial energy intensity. Likewise, Wan et al (2013) analyzed the trade-facilitated spillovers in convergence of energy productivity across 16 European Union countries during the period 1995-2005 by using the spatial panel data approach. The authors found an evidence of convergence in energy productivity for 16 European Union countries.…”

Section: Introductionmentioning

confidence: 99%

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Energy Productivity Convergence in Asian Countries: A Spatial Panel Data Approach

Adhikari

Chen

2014

IJEF

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The main purpose of this paper is to examine the convergence of energy productivity for 35 Asian countries over the period 1993-2010. These 35 countries are divided into five different geographical regions, namely, South East Asia, South Asia, North East Asia, North Asia and West Asia. We first use the sigma-convergence approach to investigate the disparity of energy productivity over time and find weak evidence of sigma-convergence process in energy productivity for all sample countries and mixed evidence for sub-sample countries. We then estimate the beta-convergence model by using the spatial panel data approach and find an existence of beta-convergence process in energy productivity for the whole set of sample countries and North East Asia. Moreover, we find mixed evidence of beta-convergence process in energy productivity for South East Asia, North Asia and West Asia. In South Asia, we find strong evidence of divergence process in energy productivity over the study period.

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Section: Beta-csupporting

confidence: 83%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Energy Productivity Convergence in Asian Countries: A Spatial Panel Data Approach

Adhikari

Chen

2014

IJEF

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“…where Z is control variable, which contains the factors about urban economics development, including gross and structure characteristics of urban economics [19] and G(x) is the same as above in Equation (8). In this paper, urban per capita income Y and urban industrial structure IS are selected to measure gross and structure characteristics of urban economics respectively, namely Z = (Y, IS).…”

Section: Ln(mentioning

confidence: 99%

A Study on China’s Urban Electricity Productivity Convergence with Spatial Smooth Transition Effect

2017

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This paper analyzes the absolute convergence of urban electricity productivity in China during 1990-2011, applying Spatial Error Smooth Transition Auto-regression Model, and examines the spatial effect in convergence process. Then it analyzes the stage characteristics of electricity productivity convergence during the process of electricity market reformation and the conditional convergence which is affected by the urban economy. According to the results of our research, there exists significant absolute convergence of urban electricity productivity in China, and the spatial effect, especially spatial smooth transition effect, significantly enhance the convergence of urban electricity productivity. Since the electricity market reformation in 2002, significant stage characteristics exist in convergence of urban electricity productivity. The convergence rate of electricity productivity before 2002 is obviously lower than the one during the whole sample period, also the one after 2002 and the spatial nonlinear effect strengthens during the later period with marketization in electricity market and stricter regulation on energy conservation. The urban economy also affects the convergence of urban electricity productivity, while it does not promote the convergence rate because the high proportion of electricity-intensive industry in cities of western and northeastern region. At the conclusion of our paper, we put forward policy suggestions with the objective of narrowing the gap of urban electricity productivity and realizing sustainable urban development.

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“…FDI in renewable energy takes an active response to this strategy. It improves technological capability and promotes the performance growth of energy industry [6][7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Impacts of FDI Renewable Energy Technology Spillover on China’s Energy Industry Performance

Liu

Yang

et al. 2016

Sustainability

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Environmental friendly renewable energy plays an indispensable role in energy industry development. Foreign direct investment (FDI) in advanced renewable energy technology spillover is promising to improve technological capability and promote China's energy industry performance growth. In this paper, the impacts of FDI renewable energy technology spillover on China's energy industry performance are analyzed based on theoretical and empirical studies. Firstly, three hypotheses are proposed to illustrate the relationships between FDI renewable energy technology spillover and three energy industry performances including economic, environmental, and innovative performances. To verify the hypotheses, techniques including factor analysis and data envelopment analysis (DEA) are employed to quantify the FDI renewable energy technology spillover and the energy industry performance of China, respectively. Furthermore, a panel data regression model is proposed to measure the impacts of FDI renewable energy technology spillover on China's energy industry performance. Finally, energy industries of 30 different provinces in China based on the yearbook data from 2005 to 2011 are comparatively analyzed for evaluating the impacts through the empirical research. The results demonstrate that FDI renewable energy technology spillover has positive impacts on China's energy industry performance. It can also be found that the technology spillover effects are more obvious in economic and technological developed regions. Finally, four suggestions are provided to enhance energy industry performance and promote renewable energy technology spillover in China.

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Trade-facilitated technology spillovers in energy productivity convergence processes across EU countries

Cited by 72 publications

References 91 publications

Energy Productivity Convergence in Asian Countries: A Spatial Panel Data Approach

Energy Productivity Convergence in Asian Countries: A Spatial Panel Data Approach

A Study on China’s Urban Electricity Productivity Convergence with Spatial Smooth Transition Effect

Impacts of FDI Renewable Energy Technology Spillover on China’s Energy Industry Performance

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