This paper is concerned with significance testing of the effects of exogenous determinants upon the one-sided deviation term of a semiparametric stochastic frontier model. Two nonparametric significance tests for all or a subset of the determinants of inefficiency are proposed. The proposed...

This paper proposes a new measure of firm digital transformation from the perspective of investment after pointing out the weakness of measures used in previous research. Using the new measure and the panel data of manufacturing listed companies in China during 2009-2020, this paper examines the...

Purpose: This paper utilizes an amalgamation of cluster analysis and non-parametric approach to calculate the performance and efficiency index of banks in Vietnam, and grouping them accordingly. Design/methodology/approach: This requirement has inspired this cluster analysis, a classification...

The present research aims to analyze the efficiency of human capital in relation to sales in each of the subsectors of economic activity within Mexican small- and medium-sized enterprises in the manufacturing industry. To accomplish this, a panel data set covering the years 2009-2020 is...

The manufacturing industry makes a significant contribution to Russia’s GDP and exports, but it faces problems that hinder its development. The aim of this study is to estimate the relationship between intellectual capital and performance indicators of Russian manufacturing companies. The...

The problem of zombie enterprises originated in Japan's bubble economy around 1990. Afterward, after China's oversupply problem in 2016, it gained attention and received policy support from the Chinese government in solving related problems. The contribution of this measurement is to integrate...

The inefficiency term in stochastic frontier models is usually assumed to have positive skewness; but when this assumption is not met, efficiency scores are overestimated. Potential endogeneity of model regressors poses an additional empirical challenge and greatly hinders identification of...