The behavioral and stochastic cost frontier functions are applied to estimate cost inefficiency by farms. The behavioral approach satisfies most of the assumptions of dual cost function and the likelihood ratio test rejects the market efficiency hypothesis implying less than optimum use of manures, labor, and fertilizers. A suboptimal use is explained by holding size, education, credit, and subsistence needs. Small farms seem to be more efficient than large farms in the region. A measure of inefficiency based on a stochastic cost frontier approach confirms the results of the behavioral approach.
The present paper estimates the technical, allocative and economic efficiency of tomato growers. The study was conducted in two villages, namely, Tarnab and Akbarpura of the District Peshawar, the Khyber Pakhtunkhwa province, Pakistan. The data were collected by conducting a farm level survey of 300 tomato growers in the study area. The findings show that there was a big gap between the maximum and minimum technical efficiency indices, with an average technical efficiency index of 66%. There was also a huge gap between the highest and the lowest index of allocative efficiency of tomato growers. Economic efficiency indices also varied significantly. The study concluded that the farmer education, extension visits, age and access to credit were the significant determinants of these efficiencies. One of the most important policy implications of this study is that there is enough potential to increase the present level of efficiencies for tomato production in the study area.
Purpose In view of organizational inertia, with the occurrence of a major event, though resource rigidity minimizes, however simultaneously, it increases process rigidity, which creates difficulties in motivating managers and dealing with the agency problem. Therefore, keeping in mind the high demand created by the China–Pakistan Economic Corridor and Naya Pakistan Housing Scheme in the cement sector of Pakistan, the purpose of this paper is to investigate the impact of corporate governance (CG) on the cost of equity (COE) in the cement sector, to deal with the problems surging during and after the completion of these projects and highlight further opportunities for the cement sector of Pakistan. Design/methodology/approach CG is a qualitative concept therefore, eight proxies have been used to measure it along with the two control variables. This study uses balance panel data of six years from 2012 to 2017, collected from 18 companies of the cement sector of Pakistan. Descriptive statistics have been used to describe the data, correlation matrix to see the nature of the relationship, and Pooled OLS as the estimation technique, while to analyze the data a statistical package 13 has been used. To measure the COE, the Capital Asset Pricing Model (CAPM) has been used. Findings Regression results suggest that block ownership, insider ownership and the board size are insignificant, while CEO tenure is negatively and significantly associated with the COE. Non-executive directors, independence and CEO duality are insignificant; however, diversity is positively and significantly associated with the COE. Moreover, the mean value of the COE is 8.22 percent for the cement sector, while the coefficient of determination of the model under study is 74 percent. Research limitations/implications This paper is based on the data from the cement sector of Pakistan only. Therefore, this is the reason that these results cannot be generalized on the whole economy of Pakistan. Practical implications This study helps in finding out the COE value specific to the cement sector, which will help this sector to evaluate the capital budgeting decision more precisely and accurately than before. Moreover, the association of diversity as positive, while independence as negative with the COE highlights a room for improvement in the implementation of CG codes by SECP. This study also helps to mitigate the impact of inertia, the after-effects of high demand, and managing the agency problem in the cement sector. Originality/value This is the first study using CG data collected just after the revised promulgation of CG codes in 2012, along with a wide range of eight proxies measuring CG and its impact on the COE in the cement sector.
Purpose The purpose of this paper is to explore how multiple facets of board diversity influence technical efficiency (TE) and total factor productivity (TFP). Design/methodology/approach The authors measure board diversity in two dimensions: relation-related dimension (age and gender) and task-related dimension (tenure, education and expertise). The authors use a balanced panel data of 806 nonfinancial Chinese firms over the period 2009–2017. The authors use a two-stage approach for analysis. In the first stage, the authors use a non-parametric frontier approach to calculate the TE and factor productivity scores. In the second stage, the authors regressed these scores on board diversity attributes (relation-related diversity and task-related diversity). Findings By using tobit regression and two-step system GMM, the authors find that board diversity improves TE and TFP. The authors’ analyses illustrate that a higher diversity on corporate board (in terms of age, gender, tenure, education and expertise) positively influence firm efficiency. Practical implications The findings have important implications for policymakers. The findings suggest that regulators should devise policies to encourage board diversity. Because a diverse board can bring knowledge, skills, abilities, expertise and experience of diverse group members, which will ultimately enhance a firm’s efficiency. Especially, in the emerging markets (such as China), there is still a need for standard governance mechanisms; therefore, the authors suggest that policymakers should develop regulations and promote diversity of directors as one of the factors for improving the governance mechanisms, which will ultimately improve firms productivity. Originality/value Prior studies mostly considered only one dimension (such as gender) of diversity and, therefore, have overlooked how other dimensions influence firms. The authors consider several dimensions of diversity and quantify them into relation-related (age and gender) and task-related (tenure, education and expertise) attributes and show how they influence firms’ efficiency. To the best of the authors’ knowledge, this is the first study to comprehensively investigate how several facets of diversity influence a firm’s TE and TFP.
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