Low-carbon innovation efficiency of high-tech industries and its influencing factors

Author:

Yang Qingqing12ORCID,Elbakri Idris3

Affiliation:

1. Xi’an Shiyou University School of Economics and Management, , Xi’an, Shaanxi, China

2. Shaanxi Soft Science Institute of Innovation and Entrepreneurship Management Big Data Research Center, , Xi’an, Shaanxi, China

3. Kyrgyz National University Faculty of Informational and Innovational Technology, , Bishkek, Kyrgyzstan

Abstract

Abstract China has a vast territory, with an abundance of natural resources. Industrial investment of provinces promulgating and implementing state policies and measures on the basis of the various regions and industries are slowly widening the gap, which leads to significant differences in the level of industrial development. The imbalance between development at both provincial and municipal levels has become more prominent. The state has formulated a policy of coordinated development of the regional economy. There are differences between regions and industries in the demand for technological innovation of high-tech industry. This article is from the regional perspective, industry perspective and the perspective of the two. This paper, through the research of technology innovation and output data of China’s 31 provinces, municipalities and autonomous regions, finds the delivery rate is an independent variable of the average number of employees, R&D funds, R&D internal expenditure, external spending, new product sales income, the absorption of funding expenditure, technical transformation of funds for fixed assets, and gross profit as a technological low-carbon innovation efficiency measure. Using factor analysis, multiple regression methods and SPSS software, from the perspective of two regions and industries, enables empirical analysis of the influencing factors of this variable.

Funder

Scientific Research Program Funded by Shaanxi Provincial Education Department of China

Social Science Foundation of Shaanxi Province of China

Innovation Capability Support Program of Shaanxi Province of China

Publisher

Oxford University Press (OUP)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3