scholarly journals Key influencing factors of innovation activities in China’s manufacturing enterprises: Evidence from Jiangsu Province

2009 ◽  
Vol 3 (1) ◽  
pp. 145-169 ◽  
Author(s):  
Jie Zhang ◽  
Zhibiao Liu ◽  
Jianghuai Zheng
2013 ◽  
Vol 671-674 ◽  
pp. 3049-3054
Author(s):  
Cao Qian ◽  
Xi Jian Quan ◽  
Yu Yan Wang

On the basis of investigation and research, we firstly determined factors that impact manufacturing enterprises to implement green supply chain. Then, based on data of Parts of manufacturing enterprises in Shandong Province implementing green supply chain, the influencing factors of manufacturing enterprises implementing green supply chain is analyzed by factor analysis. The conclusion show that the influencing factors mainly concentrates in seven aspects that is raw material purchase, the enterprise internal management, the worn recycling, the product design, the enterprise prestige, the enterprise energy consumption, the reject processes.


2021 ◽  
Vol 16 (2) ◽  
pp. 341-353
Author(s):  
Jaroslav Vrchota ◽  
Petr Řehoř

Current time of turbulent changes is related to the necessity of innovation, of both the products and the entire organization management system. However, innovation activities must be implemented in a short time. Unfortunately, most of the organizations struggle with insufficient costs and the lack of creative and active human resources. All of this might lead to a loss of market position and a decrease in competitiveness. If an organization wants to succeed on the market and survive in the long term, the trial and error method is ruled out. The project management is a possible way of dealing with the issue. Project management is characterized by a detailed examination of all the aspects of the project, their detailed planning, culminating in the implementation of the change and innovation. Therefore, the current managers need to define the precise goals, the responsible persons, and deadlines, allocate the tasks, costs and define the procedures crucial for project management clearly. Only in this way an organization is able to react to major changes quickly and without any mistakes. The aim of the paper is to evaluate the factors, important for the manufacturing enterprises in the projects, and to find out the relations of such factors. The research was carried out in 2019 in 116 manufacturing enterprises in the Czech Republic. The project managers often focus their attention on customer satisfaction and cost magnitude in evaluating of the projects.


2021 ◽  
Vol 267 ◽  
pp. 01014
Author(s):  
Xue Qin ◽  
Jun Yan ◽  
G.Y. Zhu

Straw resources are abundant in Jiangsu province, the utilization and burning of straw is an important problem in agriculture carbon emission reduction. In order to analyze the effect of straw’s comprehensive utilization technology on agricultural carbon emission, the STIRPAT model is introduced, which takes straw utilization technology as the core explanatory variable while other influencing factors as control variables, and the ridge regression is adopted to conduct an empirical analysis on the influencing factors of agricultural carbon emission in Jiangsu province from 2008 to 2018. The results demonstrate that for every 1% increasing of straw’s comprehensive utilization technology, agriculture carbon emission will be reduced by 0.17%; the labor force is the biggest driver of agriculture carbon emissions; agriculture economic development, energy consumption takes a certain inhibitory effect on agriculture carbon emissions, but not very great.


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Quanzhi Luo

A scientific and comprehensive measurement of the efficiency of scientific and technological innovation activities is the basis and prerequisite for evaluating the existing environment and conditions of universities and is conducive for improving the efficiency and promoting the development of provincial economy. The paper selects the DEA (Data Envelopment Analysis) method to measure the efficiency of scientific and technological innovation in universities of China from 2007 to 2019 and studies its spatial differences. Then, the paper uses Markov chain estimation to describe the dynamic evolution process of the efficiency, and finally uses system GMM (generalized method of moments) model to identify the key influencing factors of its efficiency. The conclusions obtained are as follows: (1) The scientific and technological innovation efficiency in universities presents the highest distribution characteristics in the eastern part, the western part of China has the lowest, and the central part is midway of the two regions. There are significant differences between regions. (2) During the entire observation period, the efficiency in each region showed a path-dependent characteristic. After 2016, the mobility of different levels of technological innovation efficiency of universities in eastern part of China has increased, while in the central and western parts of China it tends to be stable. (3) Economic advantages, location advantages, government support, research and development foundation, and the efficiency of scientific and technological innovation in universities have a significant relationship, and the results are different in different regions.


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