Nonparametric Measures of Capacity Utilization of the Tunisian Manufacturing Industry: Short- and Long-Run Dual Approach

Kalai, Maha

doi:10.1007/s13132-017-0463-3

Cited by 8 publications

(3 citation statements)

References 13 publications

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“…The "economic" strand of literature on CU considers the minimum level of the short-or long-run average costs when identifying the capacity level. Kalai [18] developed a DEA-based framework for identifying the minima of the short-and long-run average cost curves which determined the corresponding capacities. Cesaroni et al [19] considered the short-and long-run capacity measures by imposing different assumptions on the disposability of inputs.…”

Section: Methodological Advancements In Non-parametric Cu Measuresmentioning

confidence: 99%

Estimating Capacity Utilization of Chinese State Farms

et al. 2019

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As the most populous country in the world, China has one of the largest agricultural systems in the world, which plays an important role in ensuring China’s food security. The state farms comprise an integral part of China’s agricultural system. However, there have been few studies evaluating the efficiency and capacity utilization of China’s state farms. In this paper, we estimate the efficiency and capacity utilization of state farms across 27 Chinese regions by applying the data envelopment analysis method. Performance of the overall state farm system and its three sub-industries is taken into consideration simultaneously. Over the period of 2013–2017, the technical efficiency fluctuated in between 0.74 and 0.84, whereas the capacity utilization fluctuated around 0.85. The regional differences were observed. The regional differences were also observed.

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Section: Methodological Advancements In Non-parametric Cu Measuresmentioning

confidence: 99%

Estimating Capacity Utilization of Chinese State Farms

et al. 2019

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“…The authors used the direct and indirect production function of Shephard to drive a measure CU rate using DEA Kalai (2019) Time series method CU level has been estimated and found that capacity is under-utilization in the Tunisian manufacturing industry highlight that the CU rate of India is lesser than abroad. So it becomes a prominent step to study capacity and CU in India, as well as abroad.…”

Section: Tunisiamentioning

confidence: 99%

Capacity utilization in industrial sector: a structured review and implications for future research

Singh

Rathi

Kaswan

2021

WJE

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Purpose This paper aims to uncover the significance of capacity, capacity utilization (CU) and its role in the quality and productivity improvement in an industrial environment. Besides, the current study is also aiming to explore the various ways to estimate CU and its status across the world. Design/methodology/approach In the present study, a comprehensive literature review on capacity and CU is carried out to expose the research direction in the field of CU. This work is primarily focused on capacity, CU and their estimation methods based on the research in various industries of different countries and current status in present scenario across the world. Findings The literature reveals that CU estimation is carried out by some government/central agencies at the national or sector level rather than the industry level in most of the productive nations. As far as industrial growth is concerned, capacity management should be carried out at a particular industry level so that engineering managers can be able to find out loopholes for huge capacity waste within the plant. It is observed that CU in the industrial sectors mainly computed by time series method, survey method, economic approach and engineering approach worldwide. Research limitations/implications This paper tries to cover almost all research work in the field of CU in various industrial sectors. However, the organizations which are producing the product with limited demand may get benefit inadequately. Practical implications This paper provides a vision to management toward productivity improvement through optimal utilization of available resources. As in most organizations, CU issues are much neglected areas. Originality/value This paper provides valuable insights on capacity and CU in the industrial sector across the world. Besides, it focused on comprehensive literature of capacity and various methods to estimate CU in industrial sectors.

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“…Their approach enables us to capture productivity growth while discounting the scale economies. Besides these, other studies have also assessed capacity utilisation in the manufacturing sector (Deb, 2014; Kalai, 2019; Ray, 2015; Yang et al , 2019). (Ray, 2015) proposed an approach to estimate the long-run economic capacity output of the US manufacturing sector using DEA in tandem with bootstrapping.…”

Section: Literature Review and Research Gapmentioning

confidence: 99%

Does capacity utilisation influence financial performance? A study of Indian public bus transport companies

Kushwaha

Prawesh

Venkatesh

2021

BIJ

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PurposeThe objective of the paper is to get a better understanding of capacity utilisation (CU) in Indian public bus companies. More specifically, this paper would be measuring CU and identifying the drivers of the same. Finally, the influence of CU on the financial performance of Indian bus companies is examined.Design/methodology/approachThe study adopted data envelopment analysis (DEA) to measure the CU in Indian public bus companies. Truncated regression was used to identify the drivers of CU. Subsequently, the ordinary least squares (OLS) regression was used to analyse the influence of CU on Indian bus companies' financial performance. The period of study was from 2013 to 17.FindingsThe significant drivers of CU were fleet age, passenger lead and fleet utilisation. Additionally, it was found that CU had a significant positive influence on the financial performance of Indian public bus companies and a unit increase in unused capacity has led to an increase of 7% in the operating ratio of the bus companies.Practical implicationsGetting insights into CU, apart from technical efficiency, is of immense use to both public transport researchers and practitioners. Managers of public bus companies should be mindful of CU as it has a significant bearing on their financial performance.Originality/valueThis is the first study in public transport, which establishes the linkage between CU and financial performance. Besides, a modified measure of cost-efficiency has also been conceptualised in this study.

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Nonparametric Measures of Capacity Utilization of the Tunisian Manufacturing Industry: Short- and Long-Run Dual Approach

Cited by 8 publications

References 13 publications

Estimating Capacity Utilization of Chinese State Farms

Estimating Capacity Utilization of Chinese State Farms

Capacity utilization in industrial sector: a structured review and implications for future research

Does capacity utilisation influence financial performance? A study of Indian public bus transport companies

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