Energy efficiency and environmental improvements in small-scale industries: present initiatives in India are not working

Dasgupta, Nandini

doi:10.1016/s0301-4215(99)00079-8

Cited by 13 publications

(5 citation statements)

References 4 publications

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“…However, many of the energy efficiency and environmental improvement initiatives in the SMEs sector are not successful in India. [20] This can be mainly attributed to the presence of various factors such as technological obsolescence, lack of awareness among entrepreneurs about better alternatives, higher composition of unskilled labor force, etc. Nonetheless, how small industry clusters consume energy and cause pollution is interesting and useful to probe.…”

Section: Review Of Literaturementioning

confidence: 99%

Energy efficiency in sustainable development of Small and Medium Enterprises: An empirical study

Narasimha

Nagesha

2013

2013 7th International Conference on Intelligent Systems and Control (ISCO)

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The Small and Medium Enterprises (SMEs) are an integral component of the Indian economy. SMEs consists of many energy intensive industries such as foundry, forging, steel re-rolling mills, glass and ceramics, bakeries, brick manufacture, food processing etc. The primary source of energy for these industries is coal, biomass, petroleum and electricity. Energy consumption in each of these industries is of high intensity and magnitude. Among them, the brick making units are generally confined to rural and semi-urban areas. Though they make an important contri bution to the economy in terms of employment and rural development, majority of them are traditionally operated using energy ine f ficiently at the cost of environmental degradation. Hence, e f ficient use of energy is one of the pre-conditions for sustainable development of such units. The improved Energy-E f ficiency helps not only in enhancing competitiveness through cost reduction, but also in minimizing environmental degradation. In this backdrop, the current paper probes various issues pertaining to energy and environment in an energy intensive brick industry cluster in India. Based on the primary data from 50 randomly selected units, the importance of energy input is established using a Cobb Douglas production function. The energy consumption pattern and associated environmental pollution are also studied. The results revealed that energy as the most important contributor to the value of output amongst all inputs. Further, the results of this study have useful policy implications for ensuring sustainable growth of the SME sector.

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Section: Review Of Literaturementioning

confidence: 99%

Energy efficiency in sustainable development of Small and Medium Enterprises: An empirical study

Narasimha

Nagesha

2013

2013 7th International Conference on Intelligent Systems and Control (ISCO)

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“…& A fast industrialization for infrastructure building, relying on highly energy intensive industries, based on highly energy consuming technologies compared to international standards in industry and in the power sector (Dasgupta 1999;Mongia et al 2001). & The development of modern energy forms, allowing the substitution from traditional energy carriers towards electricity.…”

Section: Indian Energy Intensity Driversmentioning

confidence: 99%

Energy-GDP decoupling in a second best world—a case study on India

Guivarch

Mathy

2011

Climatic Change

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Reference emission scenarios in the literature have been the target of criticisms that suggest they convey too optimistic views on spontaneous energy-GDP decoupling of emerging countries economies. This article focuses on the case of India. It explores the role of current suboptimalities of the Indian power sector (structural under-investment in the sector leading to capacity shortage, power cuts and low efficiency) on future energy-GDP decoupling. To do so, it uses a hybrid general equilibrium framework, in which these suboptimalities are explicitly introduced. The results highlight that whether the constraints on investments in the power sector persist or not leads to contrasted trends in energy-GDP decoupling and GHG emissions. Over the short-term, capital scarcity in the power sector constrains the development of energy-intensive activities and therefore leads to higher energy-GDP decoupling. But on the longer-term, constrains on the power sector capacity limits substitution from fossil fuels to electricity, which entails both a low energy-GDP decoupling and a constraint on GDP growth when oil prices are high. The alleviation of suboptimalities appears thus as an insurance policy towards future oil price increase.

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“…However, the MSMEs suffer from inefficient use of resources, environmental non-compliance, low productivity and poor working conditions (Chakraborty and Chakraborty, 2007;Chakraborty, 2011;Ahmad et al, 2021). Studies have advocated that efficiency and productivity improvement can enhance the overall performance of the small-scale industries (Dasgupta, 1999;Sharma and Sharma, 2010; In this study, we focus on the leather industry's efficiency performance, which is an important MSME sector in India that generates substantial employment and contributes to significant export growth. The leather industry is among the top ten export earning sectors in India and employs 4.42 million people, mostly coming from the weaker sections of the society (Council of Leather Exports, 2019).…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysing drivers of efficiency in the leather industry: a two-stage double bootstrap DEA approach

Singh

Gundimeda

2021

BIJ

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PurposeThe Indian leather industry contributes to economic growth at a significant environmental cost. Due to the rising global demand for sustainable leather products, promoting efficient input utilisation has become vital. This study measures input efficiency and its determinants for leather industry in order for it to improve its future performance.Design/methodology/approachIn the first stage, bootstrap data envelopment analysis (DEA) approach is used for measuring efficiency and analysing firms' differences based on their geographical location, organisational structures, urban-rural location and sub-industrial groups. A second stage regression examines efficiency determinants using size, age, skill and capital-labour intensity as the explanatory variables.FindingsEfficiency result shows a significant potential of minimising inputs by 47% provided the firms adopt best practices. West Bengal firms, urban located firms, individual and proprietorship owned firms and leather consumer goods firms are found to be relatively efficient to their counterparts. Size, skilled managerial staff and labour-intensive firms positively affect efficiency.Practical implicationsConstruction of well-connected roads for accessing urban retail markets and provision of reliable electricity would improve efficiency of rural firms. Small-scale enterprises have a larger share in Indian leather industry; therefore, policy should focus on enhancing the firms' scale and investing in training facilities to skill employed labour for ensuring optimal use of inputs.Originality/valuePrevious studies on the leather industry have used the conventional DEA efficiency measurement approach. This study uses DEA bootstrapping model for robust efficiency estimates and provides consistent inferences about the determinants.

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Energy efficiency and environmental improvements in small-scale industries: present initiatives in India are not working

Cited by 13 publications

References 4 publications

Energy efficiency in sustainable development of Small and Medium Enterprises: An empirical study

Energy efficiency in sustainable development of Small and Medium Enterprises: An empirical study

Energy-GDP decoupling in a second best world—a case study on India

Analysing drivers of efficiency in the leather industry: a two-stage double bootstrap DEA approach

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