An Empirical Study on the Key Factors of Intelligent Upgrade of Small and Medium-sized Enterprises in China
Promoting the intelligent upgrades of small and medium-sized enterprises is one of the important tasks of implementing “Made in China 2025„ in China. As a front runner of nation-level reform, Zhejiang Province has provided much room for innovation and development, along with the...
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doaj-9e9b43866f734a5bab49060b12ffae5f2020-11-24T20:44:28ZengMDPI AGSustainability2071-10502019-01-0111361910.3390/su11030619su11030619An Empirical Study on the Key Factors of Intelligent Upgrade of Small and Medium-sized Enterprises in ChinaZhengxin Wang0Minghuan Shou1Shuai Wang2Ruinan Dai3Keqian Wang4School of Economics, Zhejiang University of Finance & Economics, Hangzhou 310018, ChinaSchool of Economics, Zhejiang University of Finance & Economics, Hangzhou 310018, ChinaSchool of Economics, Zhejiang University of Finance & Economics, Hangzhou 310018, ChinaSchool of Economics, Zhejiang University of Finance & Economics, Hangzhou 310018, ChinaSchool of Economics, Zhejiang University of Finance & Economics, Hangzhou 310018, ChinaPromoting the intelligent upgrades of small and medium-sized enterprises is one of the important tasks of implementing “Made in China 2025„ in China. As a front runner of nation-level reform, Zhejiang Province has provided much room for innovation and development, along with the emergence of a new type of ecology, accelerated formation of two ecosystems and international cooperation, and a supportive policy environment. Therefore, this paper uses 173 Small and Medium-sized Enterprises (SMEs) from Zhejiang Province as the research objects, builds a binary selection model, and analyzes the dynamic and constraining mechanism of intelligent upgrades of SMEs with regard to employee qualification, technology, capital, policy environment, and so on. The study finds that: First, among three main industries, manufacturing is the major industry for the intelligent upgrades of SMEs and there are significant demonstration effects and industry heterogeneity. Secondly, the willingness to upgrade intelligently for SMEs is relatively strong. More than half of SMEs that have not intelligently upgraded show willingness to implement intelligent upgrades. Thirdly, factors such as corporate profitability, human capital quality, and industry intelligence level have significantly promoted the intelligent upgrades of SMEs, while the impact of labor cost, capital structure, government subsidies, and other variables are not significant. This conclusion still works after a number of robustness tests. Last but not least, based on the above conclusions, this paper proposes corresponding policy recommendations which are practically beneficial to the development of SMEs in China.https://www.mdpi.com/2071-1050/11/3/619small and medium-sized enterprisesintelligent upgradesdynamic mechanismconstraintsdemonstration effectindustry heterogeneity |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zhengxin Wang Minghuan Shou Shuai Wang Ruinan Dai Keqian Wang |
spellingShingle |
Zhengxin Wang Minghuan Shou Shuai Wang Ruinan Dai Keqian Wang An Empirical Study on the Key Factors of Intelligent Upgrade of Small and Medium-sized Enterprises in China Sustainability small and medium-sized enterprises intelligent upgrades dynamic mechanism constraints demonstration effect industry heterogeneity |
author_facet |
Zhengxin Wang Minghuan Shou Shuai Wang Ruinan Dai Keqian Wang |
author_sort |
Zhengxin Wang |
title |
An Empirical Study on the Key Factors of Intelligent Upgrade of Small and Medium-sized Enterprises in China |
title_short |
An Empirical Study on the Key Factors of Intelligent Upgrade of Small and Medium-sized Enterprises in China |
title_full |
An Empirical Study on the Key Factors of Intelligent Upgrade of Small and Medium-sized Enterprises in China |
title_fullStr |
An Empirical Study on the Key Factors of Intelligent Upgrade of Small and Medium-sized Enterprises in China |
title_full_unstemmed |
An Empirical Study on the Key Factors of Intelligent Upgrade of Small and Medium-sized Enterprises in China |
title_sort |
empirical study on the key factors of intelligent upgrade of small and medium-sized enterprises in china |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2019-01-01 |
description |
Promoting the intelligent upgrades of small and medium-sized enterprises is one of the important tasks of implementing “Made in China 2025„ in China. As a front runner of nation-level reform, Zhejiang Province has provided much room for innovation and development, along with the emergence of a new type of ecology, accelerated formation of two ecosystems and international cooperation, and a supportive policy environment. Therefore, this paper uses 173 Small and Medium-sized Enterprises (SMEs) from Zhejiang Province as the research objects, builds a binary selection model, and analyzes the dynamic and constraining mechanism of intelligent upgrades of SMEs with regard to employee qualification, technology, capital, policy environment, and so on. The study finds that: First, among three main industries, manufacturing is the major industry for the intelligent upgrades of SMEs and there are significant demonstration effects and industry heterogeneity. Secondly, the willingness to upgrade intelligently for SMEs is relatively strong. More than half of SMEs that have not intelligently upgraded show willingness to implement intelligent upgrades. Thirdly, factors such as corporate profitability, human capital quality, and industry intelligence level have significantly promoted the intelligent upgrades of SMEs, while the impact of labor cost, capital structure, government subsidies, and other variables are not significant. This conclusion still works after a number of robustness tests. Last but not least, based on the above conclusions, this paper proposes corresponding policy recommendations which are practically beneficial to the development of SMEs in China. |
topic |
small and medium-sized enterprises intelligent upgrades dynamic mechanism constraints demonstration effect industry heterogeneity |
url |
https://www.mdpi.com/2071-1050/11/3/619 |
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