This paper investigates relative aggregate energy efficiency for a panel of 39 developing countries by econometrically estimating an energy-demand function (EDF) using the stochastic frontier analysis (SFA) approach to provide scores over period 1989 2008. Energy is arguably difficult define or even conceptualise with several interpretations in literature but here it based on economists’ perspe...

This study presents some quantitative evidence from a number of simulation experiments on the accuracy of the productivity growth estimates derived from growth accounting (GA) and frontier-based methods (namely Data envelopment Analysis-, Corrected ordinary least squares-, and Stochastic Frontier Analysis-based Malmquist indices) under various conditions. These include the presence of technical...

Identifying the critical factors of industrial total-factor coal productivity (TCP) and its promotion paths will help achieve goals regional energy conservation pollution reduction. Based on perspective productivity, this paper integrates methods stochastic frontier analysis (SFA), Kaya identity, STIRPAT model to systematically diagnose temporal spatial characteristics heterogeneous sources TCP...

Data envelopment analysis (DEA) is an axiomatic, mathematical programming approach to productive efficiency analysis and performance measurement. This paper shows that DEA can be interpreted as a nonparametric least squares regression subject to shape constraints on production frontier and sign constraints on residuals. Thus, DEA can be seen as a nonparametric counter-part of the corrected ordi...

The forestry sector is constantly looking for ways making data-driven decisions and improving efficiency. application of Data Envelopment Analysis (DEA) Stochastic Frontier (SFA) allow the users to go beyond at simple key performance indicators. Benchmarking one most common tools in business efficiency competitiveness. This study searched benchmarking studies Web Science until December 2020. It...

the aim of this paper is to use the concept of the metafrontier function to study the determination of efficiency differentials and technological gap ratio (tgr) on wheat production in khorasan razavi province. in this study, we used the metafrontier function and group frontier based on the concept of stochastic nonparametric envelopment of data analysis (stoned). the data used in this study co...

This paper simultaneously explores the determinants of the developing countries’ production frontier and their ‘efficiency’ in using the available resources and technology. In doing so it allows for the transfer of (industrial country) technology in determining the frontier and for international trade to influence absorptive capacity and national efficiency levels. Stochastic frontier analysis ...

In 2020, China put forward the goals of “peak carbon dioxide emissions” and “carbon neutrality” (“double-carbon”) it is urgent for energy industry to achieve green transformation. Aiming at rigid requirements carbon-peaking carbon-neutrality (“double-carbon”), this study established a performance evaluation index system an supply chain four-tier structure based on “double-carbon” goals, calcula...

BACKGROUND Our aim was to explore the technical efficiency (TE) of the Iranian rural primary healthcare (PHC) system for diabetes treatment coverage rate using the stochastic frontier analysis (SFA) as well as to examine the strength and significance of the effect of human resources density on diabetes treatment. METHODS In the SFA model diabetes treatment coverage rate, as a output, is a fun...

BACKGROUND Road traffic Injuries (RTIs) as a health problem imposes governments to implement different interventions. Target achievement in this issue required effective and efficient measures. Efficiency evaluation of traffic police as one of the responsible administrators is necessary for resource management. Therefore, this study conducted to measure Iran's rural traffic police efficiency. ...