Does energy efficiency enhance total factor productivity in case of India?

Haider, Salman; Ganaie, Aadil Ahmad

doi:10.1111/opec.12099

Cited by 19 publications

(7 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An interesting stream of this literature focuses on energy productivity. Haider and Ganaie [24] investigated the impact of energy productivity (GDP per unit of energy use), trade openness, and CO 2 emissions on TFP employing a vector error correction model (VECM) to Indian data from 1971 to 2013. The study used TFP data from Penn World Table version 8.1 and concluded that energy productivity has a negative impact on TFP.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

How Total Factor Productivity Drives Long-Run Energy Consumption in Saudi Arabia

Hasanov

Liddle

Mikayilov

et al. 2019

Energy and Environmental Strategies in the Era of Globalization

View full text Add to dashboard Cite

In this study, we investigate how total factor productivity (TFP), alongside income, price, and population, shapes energy consumption in the long-run in Saudi Arabia, the world's number one oil exporter. To do so, we first estimate a production function and construct the associated TFP series, and then assess TFP's impact on energy consumption. To take into consideration the stochastic properties of the variables, we employ unit root and cointegration methods. We also correct estimations and test results for potential small sample bias. Our main finding is that TFP has a statistically significant impact on energy consumption in the long-run. The main contribution of our research is that to the best of our knowledge this is the first study that estimates energy consumption effects of TFP for Saudi Arabia. We believe that our research would be useful for Saudi Arabian policymakers in understanding how TFP, a representation of technological progress, institutional development, innovations, openness, and R&D development, influences energy consumption over time. Saudi Vision 2030, the strategic road map of Saudi Arabian development, implies The original version of this chapter was revised: The category of this chapter has been changed to open access. The correction to this chapter is available at https://doi.195 196 F. J. Hasanov et al.rational behavior and lowering the pace of energy consumption in the country. Thus, TFP improvement is a sustainable way to attain these goals.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

“…The study used TFP data from Penn World Table version 8.1 and concluded that energy productivity has a negative impact on TFP. In addition, Haider and Ganaie [24] found that there is one-directional causality from energy productivity to TFP. The long-run energy productivity elasticity of TFP is found to be −0.8.…”

Section: Literature Reviewmentioning

confidence: 99%

How Total Factor Productivity Drives Long-Run Energy Consumption in Saudi Arabia

Hasanov

Liddle

Mikayilov

et al. 2019

Energy and Environmental Strategies in the Era of Globalization

View full text Add to dashboard Cite

show abstract

“…However, a study by Menegaki (2011) in EU countries using panel regression analysis found that renewable energy does not significantly affect economic growth in the study period. Lean and Smyth (2013) The researchers also investigate the role of energy efficiency for mitigating environmental quality in firm-level and country-level data case and suggest that with improved technologies and cross-border spending in performance improvement programs, materials, and energy efficiency should be enhanced (Haider and Ganaie, 2017;Haider and Bhat, 2018;Haider and Bhat, 2019;Haider and Mishra, 2019). The renewable energy sector transition is increasing nowadays to protect the environment.…”

Section: Renewable Energy Economic Growth and Environmental Qualitymentioning

confidence: 99%

Determinants of material footprint in BRICS countries: an empirical analysis

Sahoo

Saini

Villanthenkodath

2021

Environ Sci Pollut Res

View full text Add to dashboard Cite

This paper explores the relationship between renewable energy consumption, urbanization, human capital, trade, natural resources, and material footprint for BRICS countries from 1990 to 2016. We apply the cross-sectional dependency test to check the correlation among the crosssection. Then, we use the second-generation panel test like CADF and CIPS to check the stationary in the series. After that, we go for the panel cointegration test, i.e., Pedroni and Westerlund panel cointegration, to know the long-run relationship of the variable. The test results reject the null hypothesis of no cointegration among the variables and accept cointegration. The long-run results indicate that economic growth, natural resources, renewable energy, and urbanization have reduced the environmental quality for BRICS countries in case of material footprint employed to measure environmental degradation. However, foreign trade, human capital improves environmental quality. Based on the empirical results, the study recommended some important policy suggestions to achieve sustainable development in BRICS countries.

show abstract

“…Dasgupta and Roy () study the level of energy intensity across major energy‐intensive firms and decomposition of energy intensity over the period. Recently, researcher has investigated the role of total factor productivity as a proxy of technological advancement in the reduction of energy intensity (Haider & Ganaie, ; Sahu & Sharma, ). Prasad and Mishra () have taken managerial perspective and find out the linkage between ISO‐14001 certification and carbon emission through panel regression of firm‐level data of iron and steel industry.…”

Section: Literature Reviewmentioning

confidence: 99%

Reducing the energy consumption of Indian iron and steel industry through enhancing energy efficiency: Role of regional coordination

Haider

Mishra

2020

Journal of Public Affairs

Self Cite

View full text Add to dashboard Cite

This article aims at estimating the energy efficiency of the iron and steel industry in production theoretic approach. Taking a regional perspective, we have done a meta‐frontier analysis combined with the slack‐based measure of data envelopment analysis (DEA). The results depict huge energy efficiency gap exists across four regions. The northern region is the best performer under group frontier than meta‐frontier DEA. South and west regions are relatively well‐performed under meta‐frontier than group frontier while the eastern region performs moderately well under both frontiers. The results show the significant energy efficiency improvement opportunities available across regions can be realised through technological advancement and energy management.

show abstract

Does energy efficiency enhance total factor productivity in case of India?

Cited by 19 publications

References 42 publications

How Total Factor Productivity Drives Long-Run Energy Consumption in Saudi Arabia

How Total Factor Productivity Drives Long-Run Energy Consumption in Saudi Arabia

Determinants of material footprint in BRICS countries: an empirical analysis

Reducing the energy consumption of Indian iron and steel industry through enhancing energy efficiency: Role of regional coordination

Contact Info

Product

Resources

About