Input Efficiency Measurement and Improvement Strategies of New Infrastructure under High-Quality Development

Author:

Wang Sai1ORCID,Sun Xiumei1,Cong Xuhui1,Gao Yongkun2

Affiliation:

1. Business School, Shandong University of Technology, Zibo 255049, China

2. School of Economics, Shandong University of Technology, Zibo 255049, China

Abstract

As a result of implementing new development concepts and absorbing new technical revolutions in the Intelligent Economy Age, new infrastructure is defined as a new driving force for high-quality development. However, as new infrastructure is constructed, there are problems such as the small scale of high-tech industries, weak economic support and human capital, and difficulty in carrying out new infrastructure construction projects, so it has become crucial to find solutions to these problems. Using the slacks-based measure model and Moran index, this study compares and analyzes the input efficiency of new infrastructure in 30 provinces of China from 2011 to 2020, alongside the analysis of temporal and spatial differences. China’s new infrastructure input generally shows a stable development trend in terms of efficiency, while the regional coordination still needs to be strengthened. Eastern China maintains a leading trend, Central China is developing rapidly, and the western region and Northeastern China do not form high-value agglomeration areas. This study puts forward relevant policy recommendations from four dimensions—optimizing the industrial structure, giving scope to government function, focusing on key areas, and compensating for weak links—to supply a powerful impetus for the development of new infrastructure.

Funder

Natural Science Foundation of Shandong Province

Publisher

MDPI AG

Subject

Information Systems and Management,Computer Networks and Communications,Modeling and Simulation,Control and Systems Engineering,Software

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