Labour productivity, energy intensity and economic performance in small enterprises: A study of brick enterprises cluster in India

Subrahmanya, M.H. Bala

doi:10.1016/j.enconman.2005.05.021

Cited by 70 publications

(33 citation statements)

References 9 publications

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“…Pardo Martinez (2011) and He et al (2013) also concluded that a higher value of VAIND is associated positively with energy efficiency. Our estimate that labour quality in terms of CEMP imposes a positive and significant effect on the efficient use of energy is also proved by Subrahmanya (2006), Mukherjee (2008), andPardo Martinez (2011). Furthermore, the result regarding the positive impact of PROD on energy efficiency is in accordance with similar conclusions reported in other studies.…”

Section: Tablesupporting

confidence: 93%

“…Furthermore, the result regarding the positive impact of PROD on energy efficiency is in accordance with similar conclusions reported in other studies. For example, Subrahmanya (2006) and He et al (2013) observed that the sectors or countries that exhibit higher labour productivity also have higher energy efficiency performance. Conversely, Pardo Martinez (2009) noted that changes in labour intensity should not necessarily mean higher or lower energy efficiency.…”

Section: Tablementioning

confidence: 95%

“…Geller et al (2006) claimed that energy efficiency improvement can be achieved through technological progress, as well as by increasing energy prices, cutting energy costs, and eliminating subsidies for fossil fuels. Mukherjee (2008) and Subrahmanya (2006) concluded that quality of labour has a positive impact on efficiency performance, whereas capital, electricity share in total energy, and reforms have no significant coefficient. unlike capital inputs have a positive and significant effect on industrial efficiency.…”

Section: Cross-classified Multilevel Modelmentioning

confidence: 97%

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Measuring the efficiency of energy-intensive industries across European countries

et al. 2016

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Section: Tablesupporting

confidence: 93%

Section: Tablementioning

confidence: 95%

Section: Cross-classified Multilevel Modelmentioning

confidence: 97%

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Measuring the efficiency of energy-intensive industries across European countries

et al. 2016

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“…These include: analysis on how to facilitate the implementation of energy efficiency measures, assessment of potential energy saving and/or emission mitigation by improving energy efficiency, and evaluation of the cost of energy efficiency investment, etc. (Boardman 2004;Clinch et al 2001;Fan et al 2007;Gellings et al 2006;Jakob 2006;Lang 2004;Lu 2006;Mahlia et al 2002;Worrell et al 2000;Balachandra and Shekar 2001;Dai et al 2006;Masjuki et al 2001;Önüt and Soner 2007;Subrahmanya 2006). Several current research focus on the potential rebound effect accompanying energy efficiency improvement (Khazzoom 1980;Brookes 1990;Berkhout et al 2000;Saunders 2000;Greening et al 2000;Binswanger 2001;Herring 2006;Brännlund et al 2007; Greene et al 1999).…”

Section: Introductionmentioning

confidence: 97%

The effect of energy end-use efficiency improvement on China’s energy use and CO2 emissions: a CGE model-based analysis

2009

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With its rapid economic growth, China is now confronted with soaring pressure from both its energy supply and the environment. To deal with this conflict, energy end-use efficiency improvement is now promoted by the government as an emphasis for future energy saving. This study explores the general equilibrium effect of energy end-use efficiency improvement on China's economy, energy use, and CO 2 emissions. This paper develops a static, multisector computable general equilibrium model (CGE) for China, with specific detail in energy use and with the embodiment of energy efficiency. In order to explore the ability of subsidizing non-fossil-generated electricity on moderating potential rebound effects, in this model, the electricity sector was deconstructed into five specific generation activities using bottomup data from the Chinese electricity industry. The model is calibrated into a 16-sector Chinese Social Accounting Matrix for the year 2002. In the analysis, seven scenarios were established: business as usual, solely efficiency improvement, and five policy scenarios (taxing carbon, subsidized hydropower, subsidized nuclear power, combination of taxing carbon and subsidized hydropower, combination of taxing carbon and subsidized nuclear power). Results show that a sectoral-uniform improvement of energy enduse efficiency will increase rather than decrease the total energy consumption and CO 2 emissions. The sensitivity analysis of sectoral efficiency improvement shows that efficiency improvements happened in different sectors may have obvious different extents of rebound. The three sectors, whose efficient improvements do not drive-up total national energy use and CO 2 emissions, include Iron and Steel, Building Materials, and Construction. Thus, the improvement of energy end-use efficiency should be sectoral specific. When differentiating the sectoral energy-saving goal, not only the saving potential of each sector but also its potential to ease the total rebound should be taken into account. Moreover, since the potential efficiency improvement for a sector over a certain period will be limited, technology measures should work along with a specific policy to neutralize the rebound effect. Results of policy analysis show that one relatively enhanced way is to combine carbon taxing with subsidized hydropower.

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“…Many studies have proved that productivity improvements can reduce energy consumption by improving energy efficiency [16,74]. The overall per capita productivity of the Japanese non-metallic mineral products industry was relativity stable during 1990-2010, of which the average annual growth rate was about 1.04% ( …”

Section: Per Capita Productivity (mentioning

confidence: 99%

Determinants of Electricity Demand in Nonmetallic Mineral Products Industry: Evidence from a Comparative Study of Japan and China

Sun

2015

Sustainability

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Electricity intensity is an important indicator for measuring production efficiency. A comparative study could offer a new perspective on investigating determinants of electricity demand. The Japanese non-metallic mineral products industry is chosen as the object for comparison considering its representative position in production efficiency. By adopting the cointegration model, this paper examines influencing factors of electricity demand in Japanese and Chinese non-metallic mineral products industries under the same framework. Results indicate that although economic growth and industrial development stages are different between the two countries, major factors that affect the sectoral energy consumption are the same. Specifically, economic growth and industrial activity contribute to the growth of sectoral electricity consumption, while R&D intensity, per capita productivity and electricity price are contributors to the decline of sectoral electricity consumption. Finally, in order to further investigate the development trend of sectoral electricity demand, future electricity consumption and conservation potential are predicted under different scenarios. Electricity demand of the Chinese non-metallic mineral products industry is predicted to be 680.53 TWh (terawatt-hours) in 2020 and the sectoral electricity conservation potentials are estimated to be 118.26 TWh and 216.25 TWh under the moderate and advanced electricity-saving scenarios, respectively. OPEN ACCESSSustainability 2015, 7 7113

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Labour productivity, energy intensity and economic performance in small enterprises: A study of brick enterprises cluster in India

Cited by 70 publications

References 9 publications

Measuring the efficiency of energy-intensive industries across European countries

Measuring the efficiency of energy-intensive industries across European countries

The effect of energy end-use efficiency improvement on China’s energy use and CO2 emissions: a CGE model-based analysis

Determinants of Electricity Demand in Nonmetallic Mineral Products Industry: Evidence from a Comparative Study of Japan and China

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