ScholarLens Back to search
2022•Journal of Asian Business and Economic StudiesOpen access

Technical Efficiency Analysis of State-owned Enterprises using Popular Estimation Methods for Stochastic Frontier Models

Hiền Hoàng Thanh, Linh Huỳnh Thị Diệu

Open full text 0 citations

Abstract

Technical efficiency (TE) is an important indicator to examine the performance of an enterprise. This paper applies the most popular stochastic frontier (SF) production functions to estimate the TE index for state-owned enterprises (SOEs) over the period 2010–2019. The results show that mean efficiency scores increased over the period 2010–2015, then decreased gradually in the period 2016–2019. Moreover, the analysis results by industry sectors also indicate that chemical manufacturing industry has the highest mean efficiency scores. Meanwhile, enterprises in the automotive and equipment manufacturing industries have the lowest technical efficiency, and the difference between these two sectors is up to 10%. The paper also makes some recommendations to policy makers to improve production efficiency in these firms.

Open-access reader

About this research paper

What this paper is about

Technical efficiency (TE) is an important indicator to examine the performance of an enterprise. This paper applies the most popular stochastic frontier (SF) production functions to estimate the TE index for state-owned enterprises (SOEs) over the period 2010–2019. The results show that mean efficiency scores increased over the period 2010–2015, then decreased gradually in the period 2016–2019. Moreover, the analysis results by industry sectors also indicate that chemical manufacturing industry has the highest mean efficiency scores. Meanwhile, enterprises in the automotive and equipment manufacturing industries have the lowest technical efficiency, and the difference between these two sectors is up to 10%. The paper also makes some recommendations to policy makers to improve production efficiency in these firms.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Technical efficiency (TE) is an important indicator to examine the performance of an enterprise. This paper applies the most popular stochastic frontier (SF) production functions to estimate the TE index for state-owned enterprises (SOEs) over the period 2010–2019. The results show that mean efficiency scores increased over the period 2010–2015, then decreased gradually in the period 2016–2019. Moreover, the analysis results by industry sectors also indicate that chemical manufacturing industry has the highest mean efficiency scores. Meanwhile, enterprises in the automotive and equipment manufacturing industries have the lowest technical efficiency, and the difference between these two sectors is up to 10%. The paper also makes some recommendations to policy makers to improve production efficiency in these firms.

Key concepts: Automotive industry, Stochastic frontier analysis, Estimation, Frontier, Production–possibility frontier, Production (economics), Industrial organization, Index (typography)

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Technical Efficiency Analysis of State-owned Enterprises using Popular Estimation Methods for Stochastic Frontier Models — Research Paper | ScholarLens