Institutional quality and its spatial spillover effects on energy efficiency

Sun, Huaping; Edziah, Bless Kofi; Sun, Chuanwang; Kporsu, Anthony Kwaku

doi:10.1016/j.seps.2021.101023

Cited by 107 publications

(61 citation statements)

References 104 publications

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“…With the deepening of the research, various spatial analysis methods such as Gini coefficient and Theil index were widely used to investigate the temporal and spatial pattern, regional gap, distribution dynamic evolution trend of efficiency (Pang et al, 2016). In recent years, with the development of spatial econometrics and geosciences, more and more scholars begin to use spatial econometric methods to analyze production efficiency by combining data points with their corresponding spatial locations (Wang et al, 2019;Sun et al, 2021b). This method has extended the traditional regression model from the spatial dimension and compensates for the limitations of instability and spatial correlation of traditional spatial data.…”

Section: Space Effects Of Grain Production Efficiencymentioning

confidence: 99%

Assessing the Environmental Efficiency of Grain Production and Their Spatial Effects: Case Study of Major Grain Production Areas in China

Gao

2021

Front. Environ. Sci.

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Environmental factors have a profound impact on the evaluation of grain production efficiency. Taking environmental factors into account can more accurately measure grain production efficiency and identify the development stage of grain production. Based on the global super-efficiency SBM model, environmental factors are included in the grain production efficiency measurement system, while the temporal and spatial evolution characteristics of grain production environmental efficiency and the sources of inefficiency are analyzed. In addition, the Spatial Durbin Model is used to investigate the influencing factors and spatial spillover effects of China’s grain production environmental efficiency. The results show that: environmental factors have a significant impact on the efficiency of grain production in China; the environmental efficiency of grain production in China fluctuates with a downward trend; the environmental efficiency of grain production in different provinces show obvious spatial differentiation and geographical agglomeration; the main influencing factors of the environmental efficiency loss of grain production in major grain production areas are carbon emissions, non-point source pollution of grain production and labor input; the level of education, the level of technological development, and labor transfer have a significant positive spillover effect on the environmental efficiency of China’s grain production, yet disaster rate has a significantly negative one. Thus, it is important to pay attention to resource conservation and pollution control, strengthen cooperation and exchanges between provinces, and take the path of coordinated development between the environment and grain production.

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Section: Space Effects Of Grain Production Efficiencymentioning

confidence: 99%

Assessing the Environmental Efficiency of Grain Production and Their Spatial Effects: Case Study of Major Grain Production Areas in China

Gao

2021

Front. Environ. Sci.

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“…However, the variable for institutional quality shows no significant effect on energy efficiency which contradicts those found in Sun et al (2019) and Sun et al (2021b). Since the quality of institutions in developing countries is weak and relatively weaker compare to developed countries, it is understandable why the quality of institutions seems to contribute less to the improvement of energy efficiency.…”

Section: Estimated Energy Demand Modelmentioning

confidence: 64%

Human Capital and Energy Efficiency: Evidence from Developing Countries

Edziah¹,

Sun²,

Anyigbah³

et al. 2021

AJIBM

Self Cite

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This study explores the effect of human capital on energy efficiency in a panel of developing countries from 1990 to 2017. Using the stochastic frontier model and the energy demand function, our results show that human capital can increase energy efficiency. Even after controlling for certain factors, the variable for human capital result remains unchanged. With regards to the controls, green innovation increased energy efficiency, while institutional quality showed an insignificant relation with energy efficiency. In general, the research results show that one essential positive externality of human capital development is that it promotes a greener future through energy conservation. Our findings can provide policymakers and governments with good reasons why more attention should be paid to human capital development to stimulate energy efficiency and a green future.

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“…The spillover effect is an eternality [ 8 ], stemming from an unpredicted or unrelated event of a socio-economic system. Correspondingly, the momentum effect stems from within a system, in that it is an empirically observed phenomena whereby events which have been trending in a certain direction for some time would be expected to continue to do so [ 9 ], akin to the momentum generated under a physical system.…”

Section: Introductionmentioning

confidence: 99%

COVID-19 lockdowns and air quality: Evidence from grey spatiotemporal forecasts

Gao

Yang

Xiao

et al. 2022

Socio-Economic Planning Sciences

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This paper proposes a novel grey spatiotemporal model and quantitatively analyzes the spillover and momentum effects of the COVID-19 lockdown policy on the concentration of PM2.5 (particulate matter of diameter less than 2.5 μm) in Wuhan during the COVID-19 pandemic lockdown from 23 January to 8 April 2020 inclusive, and the post-pandemic period from 9 April 2020 to 17 October 2020 inclusive. The results suggest that the stringent lockdowns lead to a reduction in PM2.5 emissions arising from a momentum effect (9.57–18.67%) and a spillover effect (7.07–27.60%).

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Institutional quality and its spatial spillover effects on energy efficiency

Cited by 107 publications

References 104 publications

Assessing the Environmental Efficiency of Grain Production and Their Spatial Effects: Case Study of Major Grain Production Areas in China

Assessing the Environmental Efficiency of Grain Production and Their Spatial Effects: Case Study of Major Grain Production Areas in China

Human Capital and Energy Efficiency: Evidence from Developing Countries

COVID-19 lockdowns and air quality: Evidence from grey spatiotemporal forecasts

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