How heterogeneous are the determinants of total factor productivity in manufacturing sectors? Panel-data evidence from Vietnam

Artikel

One of the remaining challenges in explaining differences in total factor productivity is heterogeneity between sectors and within a specific sector in terms of labor and capital. This paper employs the generalized method of moments (GMM) to identify factors that affect total factor productivity across 21 manufacturing sectors and to clarify the heterogeneous determinants of total factor productivity within manufacturing sectors for the period 2010-2015. Our estimations show that large firms have significantly greater total factor productivity levels than small firms in some fragmentations of firms in terms of both labor and total capital and in some manufacturing sectors. It is suggested that firm characteristics should be considered by the government in establishing relevant policies for enhancing firm productivity.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Journal: Economies ; ISSN: 2227-7099 ; Volume: 8 ; Year: 2020 ; Issue: 3 ; Pages: 1-21 ; Basel: MDPI

Classification and Topics

• Classification: Wirtschaft ; Firm Performance: Size, Diversification, and Scope ; Technological Change: Choices and Consequences; Diffusion Processes ; Industry Studies: Manufacturing: General ; Multiple or Simultaneous Equation Models: Panel Data Models; Spatio-temporal Models
• Subject: total factor productivity ; panel causality ; heterogeneity ; manufacturing sector ; Vietnam

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Quang Thanh Ngo ; Quang Van Tran ; Nguyen, Tien-Dung ; Nguyen, Trung Thanh
• Event: Veröffentlichung
• (who): MDPI
• (where): Basel
• (when): 2020

Further information

• DOI: doi:10.3390/economies8030057
• Handle: http://hdl.handle.net/10419/257106
• Last update: 10.03.2025, 11:43 AM CET