|
|
How Can Digital Intelligence Enable High-quality Economic Development: A Study on the Regulatory Role of Business Environment |
Luo Binyuan,Chen Yanxia |
(School of Finance and Economics, Henan University of technology, Jiaozuo 454000,China) |
|
|
Abstract In recent years, how to enable high-quality economic development of digital intellectualization has become the focus of the practical and academic circles. This paper theoretically analyzes the impact mechanism of digital intelligence on high-quality economic development, and discusses the regulatory role of the business environment on them. Then it empirically tests the above impact mechanism and regulatory role with the relevant data of 31 provinces, cities, and autonomous regions in China from 2009 to 2018. It is found that the transformation and application of digital intelligence play a positive role in promoting high-quality economic development. Further research shows that the business environment has a significant moderating effect on the relationship between digital intelligence and high-quality economic development. The more optimized the business environment is, the more obvious regional differences in the regulatory role of the business environment in China, showing that the regulatory role of the eastern and central regions is stronger than that of the western regions. At the same time, there are distinct regional differences in the contribution of business environment optimization to the promotion of digital intelligence and the improvement of the quality of economic development, and its positive regulating effect is better in the eastern and central regions than in the western region. The fundamental driving force of China's high-quality economic development comes from the vitality, innovation, and competitiveness of economic development. The most innovative driving force for economic development often comes from the state and the government, and it is also the relevant government departments that can play a driving and supervisory role. However, in reality, how to streamline government administration and delegate power is a great challenge , and the current business environment is not fully adapted to the needs of high-quality economic development. Currently scholars at home and abroad mainly discuss the impact of business environment on economic development from three aspects: infrastructure environment, economic environment and talent environment. It is confirmed that the optimization of the business environment does have a driving effect on economic development, but there is inadequate research on how digital intelligence technology affects the high-quality economic development, and even less research on how digital intelligence can develop high-quality economic development under the existing business environment. The development of digital intelligence refers more to the development of information technology and digitalization, and rarely involves the combined effect of information technology and digitalization on economic development. Therefore, this paper introduces digital intelligence indicators to explore whether the business environment has a moderating role in the process of digital intelligence technology for high-quality economic development, which is of great research value and practical significance. The possible contributions of this paper areas follows. Firstly, it explores the relationship between digital intelligence and economic "quality" development, which enriches the connotation of quality economic development. Secondly, this paper uses the business environment as a moderating variable to examine the impact of digital intelligence on high-quality economic development, and explores the possible paths for digital intelligence to influence economic high-quality development, which provides new ideas for the study of the relationship between digital intelligence and regional economic high-quality development. Thirdly, further research on regional variability shows that there is significant regional heterogeneity in the development of digital intelligence that influences high-quality economic development through the business environment, which provides some inspiration for the formulation of regional development policies for the business environment.
|
Received: 06 April 2021
|
|
|
|
|
[1] COLECCHIA A,SCHREYER P.ICT investment and economic growth in the 1990s:is the united states a unique case? a comparative study of Nine OECD countries[J]. Review of Economic Dynamics, 2002,5(2):408-442.
[2] 王海军,冯乾.互联网金融的演进轨迹:学术论争与当下实践[J].改革,2015,32(9):142-150.
[3] 张鸿,刘中,王舒萱.数字经济背景下我国经济高质量发展路径探析[J].商业经济研究,2019,38(23):183-186.
[4] 易宪容,陈颖颖,位玉双.数字经济中的几个重大理论问题研究——基于现代经济学的一般性分析[J].经济学家,2019(7):23-31.
[5] 郭晗,廉玉妍.数字经济与中国未来经济新动能培育[J].西北大学学报(哲学社会科学版),2020,50(1):65-72.
[6] 孙早,侯玉琳.工业智能化如何重塑劳动力就业结构[J].中国工业经济,2019,36(5):61-79.
[7] GRAETZ G,MICHAELS G.Robots at work[J].CEPR Discussion Papers, 2015.
[8] KROMANN L, MALCHOW-MLLER N, et al. Automation and productivity—a cross-country, cross-industry comparison[J]. Industrial and Corporate Change, 2020, 29(2): 265-287.
[9] 陈太义,王燕,赵晓松.营商环境、企业信心与企业高质量发展——来自2018年中国企业综合调查(CEGS)的经验证据[J].宏观质量研究,2020,8(2):110-128.
[10] 冯涛,张美莎.营商环境、金融发展与企业技术创新[J].科技进步与对策,2020,37(6):147-153.
[11] 董志强,魏下海,汤灿晴.制度软环境与经济发展——基于30个大城市营商环境的经验研究[J].管理世界,2012,28(4):9-20.
[12] 丁鼎,高强,李宪翔.我国城市营商环境建设历程及评价——以36个省会城市、直辖市及计划单列市为例[J].宏观经济管理,2020,36(1):55-66.
[13] 佟明亮.法制环境、金融市场化程度与民营企业贷款——来自2012年世界银行中国营商环境企业调查的证据[J].技术经济与管理研究,2015,36(10):73-78.
[14] EIFERT,et al. Business environment and comparative advantage in africa: evidince from the investment climate data[M].Banque Mondiale, Washington: DC (2005): 195-233.
[15] 姜巍.“互利共赢”新开放观与广东开放型经济体制创新研究[J].经济体制改革,2018,36(2):5-12.
[16] 林木西,张紫薇.“区块链+生产”推动企业绿色生产——对政府之手的新思考[J].经济学动态,2019,60(5):42-56.
[17] 温军,邓沛东,张倩肖.数字经济创新如何重塑高质量发展路径[J].人文杂志,2020,64(11):93-103.
[18] FEI JIA,XIUYING MA, et al. The differential role of manufacturing and non-manufacturing tfp growth in economic growth[J]. Structural Change and Economic Dynamics,2020,52,174-183.
[19] 马茹,罗晖,王宏伟,等.中国区域经济高质量发展评价指标体系及测度研究[J].中国软科学,2019,34(7):60-67.
[20] 边少颖.产业转型升级对经济高质量发展的影响研究[D].西安:西北大学,2019.
[21] 刘光岭,卢宁.全要素生产率的测算与分解:研究述评[J].经济学动态,2008,(10):79-82.
[22] 沈运红,黄桁.数字经济水平对制造业产业结构优化升级的影响研究——基于浙江省2008—2017年面板数据[J].科技管理研究,2020,40(3):147-154.
[23] 张雪玲,焦月霞.中国数字经济发展指数及其应用初探[J].浙江社会科学,2017,33(4):32-40.
[24] 刘亮,李廉水,刘军,等.智能化与经济发展方式转变:理论机制与经验证据[J].经济评论,2020,31(2):3-19.
[25] 温珺,阎志军,程愚.数字经济驱动创新效应研究——基于省际面板数据的回归[J].经济体制改革,2020,38(3):31-38.
[26] 张三保,康璧成,张志学.中国省份营商环境评价:指标体系与量化分析[J].经济管理,2020,42(4):5-19.
[27] 杨畅,白雪洁,赵洋.营商环境、债务来源与融资歧视——基于契约异质性视角的实证研究[J].当代财经,2020,41(6):101-113.
[28] 郑烨,王春萍,段永彪.“放管服”改革、政府透明度与区域营商环境——基于国内城市面板数据的实证研究[J].软科学,2020,34(9):1-11.
[29] 郑京海,胡鞍钢.中国改革时期省际生产率增长变化的实证分析(1979—2001年)[J].经济学(季刊),2005,5(1):263-296.
[30] 胡志强,苗长虹.中国省域五大系统的协调发展评价[J].统计与决策,2019,35(1):96-100.
[31] 温忠麟,侯杰泰,张雷.调节效应与中介效应的比较和应用[J].心理学报,2005,50(2):268-274.
[32] 罗斌元,刘玉.税收优惠、创新投入与企业高质量发展[J].税收经济研究,2020,25(4):13-21.
|
|
|
|