Research on Manufacturing Upgrading and Its Influencing Factors Based on Var Modeling

Utilising data from the Jiangsu Province manufacturing sector from 2000 to 2022, this study applies the entropy value method to build a manufacturing upgrading level indicator system from three dimensions: scale, efficiency, and quality. Additionally, foreign direct investment (FDI), urbanisation rate (UR) and government intervention (GI) are selected to construct a vector autoregressive (VAR) model to empirically test the dynamic influence of the selected factors on manufacturing upgrading (MU). The results indicate an overall upward trend in MU in Jiangsu Province from 2000 to 2022. Impulse response and variance decomposition analyses reveal that UR and FDI negatively correlate with MU, while GI has a positive effect. The MU itself is the primary contributor to Jiangsu province's MU. The contribution rates of other influence factors are as follows: GI;FDI;UR.

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Publication Details

Journal
International Journal of Decision Support System Technology
Published
2025-03-22
DOI
https://doi.org/10.4018/ijdsst.371756
Primary Topic
Quality and Management Systems
Type
article
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article

Research on Manufacturing Upgrading and Its Influencing Factors Based on Var Modeling

Sheik Kyin Tey, Kuk Fai Fok, Ni Zhong, Ming Yu Cheng
International Journal of Decision Support System Technology
Quality and Management Systems
article

Research on Manufacturing Upgrading and Its Influencing Factors Based on Var Modeling

Sheik Kyin Tey, Kuk Fai Fok, Ni Zhong, Ming Yu Cheng
article en

Abstract

Utilising data from the Jiangsu Province manufacturing sector from 2000 to 2022, this study applies the entropy value method to build a manufacturing upgrading level indicator system from three dimensions: scale, efficiency, and quality. Additionally, foreign direct investment (FDI), urbanisation rate (UR) and government intervention (GI) are selected to construct a vector autoregressive (VAR) model to empirically test the dynamic influence of the selected factors on manufacturing upgrading (MU). The results indicate an overall upward trend in MU in Jiangsu Province from 2000 to 2022. Impulse response and variance decomposition analyses reveal that UR and FDI negatively correlate with MU, while GI has a positive effect. The MU itself is the primary contributor to Jiangsu province's MU. The contribution rates of other influence factors are as follows: GI;FDI;UR.

International Journal of Decision Support System TechnologyVol. 17(1)
Universiti Tunku Abdul Rahman (MY)
Openalex Percentile: Top 93%
Quality and Management Systems
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Research on Manufacturing Upgrading and Its Influencing Factors Based on Var Modeling — Sheik Kyin Tey, Kuk Fai Fok, et al. · International Journal of Decision Support System Technology (2025) | TGRS Research Map | TGRS