Does innovative capability enhance the energy efficiency of Indian Iron and Steel firms? A Bayesian stochastic frontier analysis

Haider, Salman; Mishra, Prajna Paramita

doi:10.1016/j.eneco.2021.105128

Cited by 74 publications

(46 citation statements)

References 51 publications

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“…ey found that the energy tax can improve energy efficiency without considering undesired outputs, and changes in energy prices, environmental technologies, and the energy mix have an important effect on energy efficiency and suggest the corresponding improvement measures. Additionally, the DEA model is widely used in efficiency analysis, etc., [11]; for example, Dahooie et al [12] combined the DEA and MADM to evaluate the consumer credit risk with considering the undeniable impact of time and changes of the credit assessment criteria. ey proposed a new method to determine the final aggregated rank, which has been able to maintain robustness.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization of Tax Collection and Administration Efficiency in Less Developed Regions of Western China

Yan

Zuo

Zhang

et al. 2022

Discrete Dynamics in Nature and Society

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Tax is the main source of national and regional income, and the efficiency of tax collection and administration is of great significance to the sustainable development. In order to improve the efficiency of tax collection and administration in the less developed regions of western China due to the slow economic development, the low volume of tax revenue, and the high cost of tax collection and administration, this study extends the two-stage DEA model to the case of asymmetric two-stage efficiency values and analyzes the tax collection and administration efficiency of Yunnan Province by the improved model. The results show that the average value of tax collection and administration efficiency of Yunnan Province in 2020 is 0.944, and the overall efficiency values of tax collection and administration in most of the states and cities are within the range of 0.8–1.0. The overall tax collection and administration efficiency of Yunnan Province is relatively ineffective and can be improved. This study also makes relevant suggestions on how to improve the efficiency of organizations to promote the sustainable development of regions and the nation.

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Section: Literature Reviewmentioning

confidence: 99%

Optimization of Tax Collection and Administration Efficiency in Less Developed Regions of Western China

Yan

Zuo

Zhang

et al. 2022

Discrete Dynamics in Nature and Society

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“…Apart from the compatibility of the data we have allowed for the random noise in the form of excluded variables, misspecification of model, luck and measurement errors as inefficiency variables. Following the studies done for estimation of energy efficiency/inefficiency by (Haider & Mishra, 2021), (Mendonca, Pereira, Alberto, & Pessanha, 2020), (Hu & Honma, 2014), (Adom, 2019), (Adoma, Amakyeb, Abrokwac, & Quaidood, 2018), (Weyman-Jonesa, Boucinhab, & Inácioc, 2016), (Lin & Du, 2014), (Boyd & Lee, 2019), (Chen, Barros, & Borges, 2015), (Filippini & Hunt, 2011, (Evans, Filippini, & Hunt, 2013), (Filippini, et.al 2014), (Yu & Guo, 2016) and the most recent study by (Twerefou & Abeney, 2020) we have used SFA approach for the electricity consumption efficiency frontier estimation.…”

Section: Statistical Tools For Analysismentioning

confidence: 99%

Household electricity consumption inefficiency and it’s determinants in rural areas

Basumatary

Devi

2022

Preprint

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In this paper we have analysed the electricity consumption inefficiency of households in rural area by using stochastic frontier analysis (SFA) applying single stage one-sided approach on the primary data collected using stratified random sampling. We find the mean efficiency of the households is 77.25 percent where the stochastic demand frontier reveals government subsidy and minimum watt have a significant positive impact on household electricity consumption. Surprisingly, numbers of living room does not increase electricity consumption demand in rural areas.We found the inefficiency factors; a reduction in cut in minutes and cut frequency can reduce the inefficiency of electricity consumption by the households in rural areas. Intuitively, a reduction in cut time duration and number of times electricity is cut in a day on an average can reduce inefficiency of the households by 15 percent and 39 percent respectively. Additionally, households living in pukka floors and having inverter as secondary source of lighting could reduce their inefficiency by 11 and 7 percent respectively. Overall, we found inefficiency in electricity consumption in the rural areas lie more on the supply side constraints compared to the demand side.

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“…The method was applied in panel data by Pitt and Lee [29] and gradually became one of the mainstream measurement methods of total factor productivity. In studies of energy efficiency, most scholars adopted the SFA method to estimate energy efficiency of different industrial sectors, such as Hu [30] (energy industry), Xie et al [31] (transport sector), Longo et al [32] (wastewater Sector), Haider and Mishra [33] (steel industry) and Macharia et al [34] (manufacturing sector). Some other scholars developed SFA to study the influencing factors of energy efficiency.…”

Section: Measurement Of Energy Efficiencymentioning

confidence: 99%

“…Sun et al's [36] study across countries found that both green innovation and institutional quality had significant positive effects on energy efficiency. Macharia et al [33] pointed out that export status, R&D, senior management experience and female ownership could improve the energy efficiency of Kenya's manufacturing industry. In order to make better use of existing information, Haider and Mishra et al [33] used Bayesian SFA and found that innovation capabilities had improved the energy efficiency of Indian steel companies.…”

Section: Measurement Of Energy Efficiencymentioning

confidence: 99%

“…Macharia et al [33] pointed out that export status, R&D, senior management experience and female ownership could improve the energy efficiency of Kenya's manufacturing industry. In order to make better use of existing information, Haider and Mishra et al [33] used Bayesian SFA and found that innovation capabilities had improved the energy efficiency of Indian steel companies. In order to avoid estimation bias, Ouyang et al [37] combined the meta-frontier method and SFA and showed that improvement in energy technology was conducive to improving efficiency.…”

Section: Measurement Of Energy Efficiencymentioning

confidence: 99%

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The Influence of Energy Price Distortion on Region Energy Efficiency in China’s Energy-Intensive Industries from the Perspectives of Urban Heterogeneity

Wang

Liang

et al. 2021

Sustainability

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As typical representatives of China’s industrial sectors, energy intensive industries are the focus of energy conservation. This study constructs a trans-log production function and stochastic frontier analysis model to analyze the impact of energy price distortion on total factor energy efficiency in energy intensive industries on the city level. The results reveal that the phenomenon of energy price distortion existed in all cities from 2003 to 2019, with an average degree of −0.175; and the total factor energy efficiency in China’s energy intensive sectors showed an upward trend, with an average efficiency of 0.729. Further deep analysis of affecting mechanisms concluded that the price distortion showed a significant restraining effect on improving energy efficiency, while the improvement of urban agglomeration systems had an opposite effect. In addition, energy consumption structure, foreign trade, and infrastructure construction are positively correlated with energy efficiency. Therefore, promoting the market-oriented reform of China’s energy market is of great significance to improve city energy efficiency and build a resource-conserving society.

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Does innovative capability enhance the energy efficiency of Indian Iron and Steel firms? A Bayesian stochastic frontier analysis

Cited by 74 publications

References 51 publications

Optimization of Tax Collection and Administration Efficiency in Less Developed Regions of Western China

Optimization of Tax Collection and Administration Efficiency in Less Developed Regions of Western China

Household electricity consumption inefficiency and it’s determinants in rural areas

The Influence of Energy Price Distortion on Region Energy Efficiency in China’s Energy-Intensive Industries from the Perspectives of Urban Heterogeneity

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