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Although handloom is a significant source of livelihood for millions of people in India, it performs poorly compared to other sectors of the economy, which may be the root of technical inefficiency. Until now, to measure technical efficiency, no studies have been carried out; therefore, the purpose of this study is to estimate the technical efficiency in the handloom micro-enterprises in India.

This study includes 427 handloom micro-entrepreneurs from the Indian state of Assam. Using bootstrap truncated regression, the data envelopment analysis (DEA) was used to calculate the technical efficiency and identify the factors responsible for inefficiency.

The findings of this study reveal that handloom enterprises are 75% pure technically efficient, suggesting room for input reduction. The bootstrap truncated regression results show that education, prior experience, modern technology, ICT, bank loan, training, gender and location significantly influence the technical efficiency of handloom enterprises.

Despite recent advances in the DEA method, this study used a traditional form of DEA. This study used only one output and a limited set of inputs. Better results could have been obtained by expanding the number of inputs and output. Finally, the data for this study has been obtained from a very narrow geographic area. The production practices of the handloom enterprises in other parts of the region and other states might vary considerably.

Technical efficiency measurement has management implications for businesses because it allows entrepreneurs to determine how much less input is required to produce the same output. A meticulous analysis can pinpoint the causes of inefficiency.

This paper aims to make two significant contributions to the extant literature. First, to the best of the authors’ knowledge, no published document has analyzed the technical efficiency of handloom micro-enterprises anywhere in the world. The authors fill this void by systematically analyzing the technical efficiency of the handloom industry in Assam.

The purpose of this paper is to analyze the extent of aging in the agricultural labor force and its effect on farm production in a province of China.

The analysis uses panel data for the years 2004 through 2008 from a representative sample of farm households in Liaoning province. Descriptive statistics reveal the age structure of the agricultural labor force and correlations between labor force age and production characteristics. A translog stochastic frontier production function and technical inefficiency model is employed to analyze the effect of aging of the labor force on the technical efficiency of crop production.

The paper finds an accelerating trend towards aging of the agricultural labor force in the data. Results from the stochastic frontier production function and efficiency analysis reveal that household‐level technical efficiency increases until maximum efficiency is reached when the average age of the household labor force is 45, after which efficiency declines.

Aging of China's rural labor force may affect efficiency and productivity in crop production. Agricultural policies may need to pay more attention to the aging of the agricultural labor force. Some measures should be taken to address the pattern of migration, and policies to improve the social and economic environment in rural areas for younger workers should be developed. Also, extension programs could help older farmers to maintain efficient farming methods.

This is one of very few analyses of the effects of aging on production efficiency for a developing country, as well as for China. The analysis uses a unique panel dataset that covers 24 counties, 1,890 rural households, and more than 6,000 individuals, with each household tracked for five years. Most of the literature estimating technical efficiency carries out the analysis at the individual level; in China and other developing countries, farming is carried out at the household level. We have adapted the methodology to apply to situations where the unit of analysis is the household.

The purpose of this paper is to examine the effect of funding structure on technical efficiency of banks in Ghana, between 2011 and 2016.

Employing the random-effect and the truncated panel data of 25 banks, the results present new evidence.

The findings reveal that Ghanaian banks are less technically efficient, as the average efficiency scores generated is below the threshold of 1. Furthermore, the results show that banks in Ghana finance their operations mainly with deposit source of funding. The results reveal a significantly positive relationship between funding structure and technical efficiency. However, internally generated source of funds was negatively linked with technical efficiency. This is not surprising because banks that rely on external funds attract higher costs than internally generated funds, and this puts pressure on managers to perform. The results are relevant to emerging economies when the authors use additional macroeconomic factors.

Thus, a proportionally larger deposit base funding would typically lead to an overall increase in technical efficiency of banks in Ghana. Shareholders should put pressure on managers to plough back earnings in order to increase the use of internally generated funds, thus, increasing technical efficiency. Banks that are inefficient should make some adjustments to their weights of inputs and/or outputs combinations by following their benchmark banks (efficient banks) to improve their efficiency.

The results of this study have important implications for regulators, investors and policy makers, particularly an emerging economy. The implication of the study to investors is that investors should be able to identify an appropriate source of funds that can be used efficiently to maximize their wealth in emerging markets. It is important for regulators and managers of banks to improve technical efficiency by considering the role that macroeconomic and monetary environment play when identifying and using various sources of funds as a strategy to improve bank efficiency.

Consequently, future research should investigate the impact of funding structure on technical efficiency for other regions and considering their interactions with institutional quality, macroeconomic factors and financial stability.

To the best of the authors’ knowledge, the study is the first to fulfill an urgent need to explore a robust approach of measuring technical efficiency and funding structure within the context of banks over six-year period, prompting insightful avenues to the survival, growth and performance of financiers in emerging economy.

The purpose of this paper is to study the efficiency level of Islamic banks, the differences between Islamic banks in the MENA region and Southeast Asia and the role of the governance in improving performance.

This paper examines, on the one hand, the performance of Islamic banks by measuring their efficiency through data envelopment analysis (DEA) method and, on the other hand, the determinants of this efficiency emphasizing on the impact of the governance structure through the panel estimation of Islamic banks based on the three proxies of cost efficiency, namely, technical efficiency (TES), pure technique (PTE) and scale efficiency (SES).

The findings indicate that Islamic banks are experiencing an improvement in their efficiency cost. The technical efficiency of Islamic banks is largely explained by the scale efficiency where Islamic banks realize large economies of scale in order to achieve optimal size, especially in Malaysia and the GCC countries. Pure technical efficiency is less important than the efficiency of scale and improvement is necessary regarding the managerial performance. In terms of governance, the results show that the board of directors through its size and independence and the presence of a central Sharia board constitute a robust determinant of the Islamic banks’ efficiency. The ownership structure and the size of the Sharia board do no effect banking efficiency.

The originality of this paper lies mainly on the examination of the effect of the governance structure on the Islamic banks’ efficiency where studies on this issue for Islamic banks are almost inexistent. In addition, the size and the diversity of the Islamic banks’ panel constitute the strong point of this study.

The purpose of this paper is to examine the efficiency of vegetable farmers within the tree-crop based rainforest agro-ecological zone in Southwest region of Cameroon.

The non-parametric data envelopment analysis method was used to evaluate technical and scale efficiencies while the Tobit model was used to identify factors affecting efficiency of vegetable production.

An econometric analysis result indicates that family size, education and extension service have significant impact on both technical and scale efficiencies, whereas credit service has significant impact on scale efficiency.

Future agricultural policies could include measures to improve the capacity of farmers to efficiently use existing resources.

The study highlighted that encouraging more people to engage in farm labor and facilitating smallholder access to microcredit could render vegetable farmers more efficient.

In Cameroon, only a few studies have been conducted on technical efficiency. These encompass mainly cash and food crops. To the best of our knowledge, no single study has measured technical efficiency of vegetable farmers in forest-based farming of Cameroon.

The purpose of this paper is to analyse the performance of the Indian non-life (general) insurance sector in terms of efficiency, productivity and returns-to-scale economies. In addition to this, it identifies the determinants of efficiency.

This study employs a two-stage data envelopment analysis (DEA) bootstrap approach to estimate the level and determinants of efficiency. In the first stage, the DEA bootstrap approach is employed to estimate bias-corrected efficiency scores. In the second stage, the truncated bootstrapped regression is used to identify the effect of firm-level characteristics on the efficiency of insurers. Moreover, the bootstrapped Malmquist index is used to examine the productivity growth over the observation period 2005–2016.

The bootstrapped DEA results show that the Indian non-life insurance sector is moderately technical, scale, cost and allocative efficient, and there is a large opportunity for improvement. Moreover, the results reveal that the public insurers are more cost efficient than the private insurers. It is also evident that all the insurers irrespective of size and ownership type are operating under increasing returns to scale. Malmquist index results divulge an improvement in productivity of insurers, which is attributable to the employment of the best available technology. Bootstrapped DEA and bootstrapped Malmquist index results also show that the global financial crisis of 2008 has not severely affected the efficiency and productivity of the Indian non-life insurance sector. The truncated regression results spell that size and reinsurance have a statistically significant negative relationship with efficiency. It also shows a statistically significant positive age–efficiency relationship.

The results hold practical implications for the regulators, policy makers, practitioners and decision makers of the Indian non-life insurance companies.

This study is the first of its kind that comprehensively investigates different types of robust efficiency measures, determinants of efficiency, productivity growth and returns-to-scale economies in the Indian non-life insurance market for an extended time period.

The purpose of this paper is to investigate how Korean conglomerates (chaebol) have rapidly ascended to international prominence. The success of Korean chaebol firms seems to be associated with internal market transactions. Just as Japanese keiretsu firms succeeded by utilizing a bank‐centred financing system, Korean chaebol firms devised an internal financing system such as payment guarantees and collateral provisions in a restrictive regulatory environment.

This study examines the effects of such internal market transactions on the technical efficiency of chaebol firms using a stochastic frontier function for a panel data set of 1,675 firms from 1992 to 1998.

The study has found that chaebol firms have achieved a net gain in technical efficiency by utilizing internal market transactions as a way of mitigating liquidity constraints. Thus, the chaebol's role as an internal capital provider has given Korean conglomerates a competitive advantage in product pricing and capital financing, which is the main source of the success of Korean chaebol firms.

What is new in the paper is that the positive effects of the Korean chaebol on the Korean economy have outweighed the negative effects of the chaebol. The paper has provided empirical evidence that the chaebol played a major role in transforming the Korean economy from an agricultural economy to an IT‐led economy. The main value of the paper may be found in its attempt to analyze the technical efficiency of Korean large business groups using a stochastic frontier production approach. The paper will appeal to readers who are interested in the driving forces of rapid economic growth in a developing economy.

Organizational performance improves through several channels, including changes in efficiency, innovation and technological change. Most of the extant research has focused on overall performance, often measured by partial measures of productivity, with little attention given to the components of performance. The aim of this paper is to analyze the impact of HR practices and unionization on one important channel – organization efficiency - as measured by technical and scale efficiency. Using French industry survey data, the paper shows that HR practices do influence efficiency, but this is moderated by the existence of unions. The results show a rather complex set of associations. We find robust results that show that in France, HR practices have a positive effect on scale efficiency but this effect is dampened in the presence of unions. On their own, HR practices have no effect on technical efficiency. However, some of the results suggest that HR practices can exert a positive influence when combined with unions.

Data envelopment analysis (DEA) and window analysis are used to follow the changes in Australian trading banks' pure technical efficiency, scale efficiency, and the nature of returns to scale. The main findings indicate declining average efficiency scores until 1991, followed by a steady rise thereafter. Pure technical inefficiency emerges as a greater source of inefficiency than scale inefficiency. Overall, regional banks exhibit increasing returns to scale and major trading banks exhibit decreasing returns to scale. Also worthy of note is the mixed size of banks operating at optimal returns to scale.

In this study, the authors use data envelopment analysis to assess the technical efficiency and performance of real estate investment trusts (REITs) in Singapore, for the years 2009 through 2013.

The authors apply the Malmquist Productivity Index to express the productivity change of the REITs over time.

The authors find that while most REITs have experienced efficiency improvements, there has been little productivity growth at the frontier during the study period.

The finding indicates that it is possible to improve the performance of the REITs by further improving technological efficiency because technological regress has been the main reason for the poor productivity growth of the REITs in Singapore.