The effect of regulatory governance on efficiency of thermal power generation in India: A stochastic frontier analysis

Ghosh, Ranjan; Kathuria, Vinish

doi:10.1016/j.enpol.2015.11.011

Cited by 74 publications

(33 citation statements)

References 55 publications

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“…The first of these two approaches employs the linear programming mathematical process to evaluate the relative efficiency of a decision-making unit within a fixed production frontier, while the latter uses a production function to accurately simulate the absolute efficiency of an object being evaluated while at the same time taking the impact of uncontrollable factors influencing efficiency into account. The latter approach has proven to be more pertinent than the former in the case of certain problems (Ghosh et al, 2016;Jin et al, 2017). Thus, in general, although the SFA model has been widely applied in technical efficiency calculations involving domestic and foreign economic or enterprise production activities, few empirical studies addressing land use, urbanization, and ecological efficiency within China have so far been performed Jia et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal patterns in urbanization efficiency within the Yangtze River Economic Belt between 2005 and 2014

et al. 2018

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The question of how to generate maximum socio-economic benefits while at the same time minimizing input from urban land resources lies at the core of regional ecological civilization construction. We apply stochastic frontier analysis (SFA) in this study to municipal input-output data for the period between 2005 and 2014 to evaluate the urbanization efficiency of 110 cities within the Yangtze River Economic Belt (YREB) and then further assess the spatial association characteristics of these values. The results of this study initially reveal that the urbanization efficiency of the YREB increased from 0.34 to 0.53 between 2005 and 2014, a significant growth at a cumulative rate of 54.07%. Data show that the efficiency growth rate of cities within the upper reaches of the Yangtze River has been faster than that of their counterparts in the middle and lower reaches, and that there is also a great deal of additional potential for growth in urbanization efficiency across the whole area. Secondly, results show that urbanization efficiency conforms to a "bar-like" distribution across the whole area, gradually decreasing from the east to the west. This trend highlights great intra-provincial differences, but also striking inter-provincial variation within the upper, middle, and lower reaches of the Yangtze River. The total urbanization efficiency of cities within the lower reaches of the river has been the highest, followed successively by those within the middle and upper reaches. Finally, values for Moran's I within this area remained higher than zero over the study period and have increased annually; this result indicates a positive spatial correlation between the urbanization efficiency of cities and annual increments in agglomeration level. Our use of the local indicators of spatial association (LISA) statistic has enabled us to quantify characteristics of "small agglomeration and large dispersion". Thus, "high-high" 1114Journal of Geographical Sciences (H-H) agglomeration areas can be seen to have spread outwards from around Zhejiang Province and the city of Shanghai, while areas characterized by "low-low" (L-L) patterns are mainly concentrated in the north of Anhui Province and in Sichuan Province. The framework and results of this research are of considerable significance to our understanding of both land use sustainability and balanced development.

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Section: Introductionmentioning

confidence: 99%

Spatiotemporal patterns in urbanization efficiency within the Yangtze River Economic Belt between 2005 and 2014

et al. 2018

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“…For the literature on efficiency measurement evaluation, the most commonly used methods overall include data envelopment analysis (DEA) and stochastic frontier analysis (SFA). For example, Ghosh and Kathuria [6] employed SFA to investigate the effect of regulatory governance on thermal power generation efficiency in India. The mean technical efficiency of 76.7% indicates there is wide scope for efficiency improvement in the sector, and state-level regulators have positively impacted plant performance.…”

Section: Literature Reviewmentioning

confidence: 99%

Comparison and Optimization of energy efficiency between Hydropower and thermal power in China

Tian

Wang

Ren

2021

Preprint

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Background: As the two main forces of China’s power electricity, the energy generation efficiencies of thermal power and hydropower are important factors affecting the energy conservation, emissions reduction, and green development of the country’s whole power industry.Methods: Considering regional differences and multiple effective decision-making units, this research uses the Meta-SE-SBM undesirable model to comprehensively evaluate the efficiencies of hydropower and thermal power generation in China, taking CO2 emissions of thermal power generation as the undesirable output.Results: The average group efficiency of thermal power generation in the central region has greatly improved, the eastern and western regions also show an upward trend, but there is a slight downward trend for hydropower in the three regions. The hydropower technological gaps in the three regions have slightly expanded, but their thermal power technology gaps have gradually narrowed. From the perspective of input-output non-efficiency level, the undesirable output CO2 of thermal power energy efficiency in the eastern, central, and western regions is in a surplus, the redundancy of equipment utilization hours, energy input, and installed capacity in the western region are all high, but generation in the western region is insufficient, leading to relatively low efficiency of thermal power generation there. In the eastern region the redundancy of equipment utilization hours, number of employees, and installed capacity are all high, but the generation of hydropower in the eastern and central regions is insufficient, leading to relatively low hydropower efficiency in these two regions.Conclusions: When formulating policies to promote China’s power efficiency improvement and green development, the government and power industry managers should fully consider regional differences in the efficiencies of hydropower and thermal power. The thermal power industry is relatively mature, but its CO2 emissions should be reduced and the scale of thermal power cannot be blindly expanded. The hydropower industry needs further policy support to increase market share and to enhance the local power industry’s competitiveness under the condition of its resource endowments.

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“…Recent papers still maintain this focus. Ghosh and Kathuria [21] investigated the impact of institutional quality typified as regulatory governance on the performance of thermal power plants in India. They estimated a translog stochastic frontier model using an index of state-level independent regulation as one of the determinants of inefficiency.…”

Section: Literature Review On Thermal Power Plant Efficiencymentioning

confidence: 99%

What Does Cost Structure Have to Say about Thermal Plant Energy Efficiency? The Case from Angola

Hadi-Vencheh

Jamshidi

2020

Energies

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This paper analyzes the efficiency of thermal power plants in Angola by means of a two-stage Data Envelopment Analysis (DEA) approach. In the first stage, a novel super-efficiency DEA model for undesirable outputs (CO2 emission levels and discharge of polluted water) is initially used to measure their efficiency levels. Then, in the second stage, relevant cost structure variables frequently used to describe a productive technology are employed as analytical thresholds for assessing energy production performance either in terms of capital or labor-intensity levels. Precisely, bootstrapped regression trees are used to discriminate super-efficiency scores yielding an energy production performance predictive model based on the technology type as proxied by its cost structure and their respective thresholds, since Angolan thermal plants are heterogeneous. Findings suggest that Angolan power plants are old and labor intensive, as some of them date back to the colonial era, and that lack of capital investment should be revised in favor of installing carbon capture devices. The approach developed here consists of a valuable approach for identifying priorities when technologically updating a heterogeneous thermal industry to face pollutant concerns.

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The effect of regulatory governance on efficiency of thermal power generation in India: A stochastic frontier analysis

Cited by 74 publications

References 55 publications

Spatiotemporal patterns in urbanization efficiency within the Yangtze River Economic Belt between 2005 and 2014

Spatiotemporal patterns in urbanization efficiency within the Yangtze River Economic Belt between 2005 and 2014

Comparison and Optimization of energy efficiency between Hydropower and thermal power in China

What Does Cost Structure Have to Say about Thermal Plant Energy Efficiency? The Case from Angola

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