Determinants of firms’ total factor productivity in manufacturing industry in Vietnam: An approach of a cross-classified model
Nguyen Thi Hoang Oanh
DOI: 10.24311/jabes/2019.26.S01.1
Abstract
This study investigates the determinants of total factor productivity in manufacturing firms in Vietnam using the cross-classified multilevel model. This model enables the study to provide a more proper estimation and to make clear distinctions between firms, region-specific effects, and sector-specific effects. This study combined a data set of Vietnamese manufacturing firms and sectoral variables gathered from the annual data of the Vietnam Enterprises Survey, Technology Competitiveness Survey, and some regional variables from the General Statistics Office’s Province Competitive Index during the period from 2011 to 2014. The study found that the main source of firm total factor productivity heterogeneity mostly originates at the firm level. In addition, the interaction between regional (provincial) and sectoral factors also contribute considerably to total factor productivity heterogeneity among firms. At the firm level, both firm size and expenses on technology have a significant positive effect on firm total factor productivity. In addition, firms with exporting activities seem to have a higher total factor productivity. At the regional level, the provinces with a high ratio of well-trained employees may have a positive impact on firm total factor productivity in that province. At the sectoral level, the concentration of sectors in a province may benefit firms belonging to that sector in that province. More interestingly, the study also indicates that the concentration of sectors in a province may benefit firms located in the provinces with a ratio of better trained employees. These findings could lead to policies not only at the firm level but also at the regional level and sectoral level to enhance total factor productivity.
Keywords
Total Factor Productivity; Cross-classified multilevel models; Localized industry.
2025, Journal of Asian Business and Economic Studies
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Abstract
Purpose
This study aims to examine the premature deindustrialization risk in Vietnam.
Design/methodology/approach
This study uses a manufacturing–income relationship to conduct an empirical estimation. The latecomer index is adopted in the regression model to identify a downward shift of latecomer's relationship.
Findings
The empirical analysis indicates that there is a risk of premature deindustrialization in the Northern Midlands and Mountain Areas. The provinces with low trade openness or foreign direct investment may experience risk of premature deindustrialization.
Practical implications
This study proposes technology diffusion as a policy direction to prevent premature deindustrialization. Furthermore, the Vietnamese government should improve the business environment in the Northern Midlands and Mountain Areas by promoting and attracting export-oriented foreign direct investment.
Originality/value
This study is the first to examine premature deindustrialization in Vietnam based on provincial-level data.