Details
| Original language | English |
|---|---|
| Article number | 57 |
| Journal | Economies |
| Volume | 8 |
| Issue number | 3 |
| Publication status | Published - 6 Jul 2020 |
Abstract
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.
Keywords
- Heterogeneity, Manufacturing sector, Panel causality, Total factor productivity, Vietnam
ASJC Scopus subject areas
- Social Sciences(all)
- Development
- Economics, Econometrics and Finance(all)
- Economics, Econometrics and Finance (miscellaneous)
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In: Economies, Vol. 8, No. 3, 57, 06.07.2020.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - How Heterogeneous Are the Determinants of Total Factor Productivity in Manufacturing Sectors? Panel-Data Evidence from Vietnam
AU - Ngo, Quang Thanh
AU - Tran, Quang Van
AU - Nguyen, Tien Dung
AU - Nguyen, Trung Thanh
N1 - Funding information: This research is funded by the Vietnam National University—Ho Chi Minh City, Vietnam, under grant number C2018-34-05.
PY - 2020/7/6
Y1 - 2020/7/6
N2 - 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.
AB - 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.
KW - Heterogeneity
KW - Manufacturing sector
KW - Panel causality
KW - Total factor productivity
KW - Vietnam
UR - http://www.scopus.com/inward/record.url?scp=85091403827&partnerID=8YFLogxK
U2 - 10.3390/ECONOMIES8030057
DO - 10.3390/ECONOMIES8030057
M3 - Article
AN - SCOPUS:85091403827
VL - 8
JO - Economies
JF - Economies
IS - 3
M1 - 57
ER -