Work

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

Year: 2025

Type: article

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.

Source: International Journal of Decision Support System Technology

DOI: 10.4018/ijdsst.371756

Authors: Ni Zhong, Ming Yu Cheng, Sheik Kyin Tey, Kuk Fai Fok

Institutions: Suzhou City University, Universiti Tunku Abdul Rahman

Language: English

Topic: Economic and Industrial Development

Subfield: Economics and Econometrics

Field: Economics, Econometrics and Finance

Domain: Social Sciences

SDGs: Industry, innovation and infrastructure, Decent work and economic growth

Open Access status: hybrid

OpenAlex ID: W4408739140

FWCI:

Cites: 48

Cited by:

Related to: 10