Coupling Relationship Among Technological Innovation,Industrial Transformation and Environmental Efficiency:A Case Study of the Huaihai Economic Zone,China

The 14th Five-Year Plan period is a critical period for China to achieve high-quality development. Based on super-efficiency slacks-based measure(SBM) model, grey-related analysis(GRA) and other models, this paper studies the heterogeneity of the coupling relationship among technological innovation, industrial transformation and environmental efficiency in the Huaihai Economic Zone during the period of 2005-2019. In addition, it analyzes the coupling mechanism of single and binary systems to the ternary system, which is of great significance for the collaborative symbiosis among systems. The findings are as follows. 1) The technological innovation, industrial transformation and environmental efficiency(TIE) systems of the Huaihai Economic Zone had significant spatial-temporal heterogeneity. Although their evaluation value fluctuated, the development trends are all positive. Ultimately, technological innovation is characterized by being high in the northeast and low in the southwest around Xuzhou, while other systems are relatively staggered in space. 2) The coupling of TIE systems is in transition, lack of orderly integration and benign interaction. However, the developing trend of interaction is also upward, and a spatial pattern driven by Xuzhou and Linyi as the dual cores has gradually formed. Moreover, the coupling is mostly manifested as outdated technological innovation and industrial transformation. Except for the final coordination of regenerative cities, the other resource types are all in transition. Cities in all traffic locations are still in transition. The overall system interaction of cities on Longhai Line(Lanzhou-Lianyungang Railway) is relatively optimal, and cities on Xinshi Line(Xinxiang-Rizhao Railway) are accelerating toward synergy. 3) The coupling status of TIE systems depends on the development of the single system and the interaction of the binary(2E) system. The coupling is closely related to technological innovation and Technology-Industry system,and is hindered by the inefficient interaction of Technology-Environment system. Specifically, the synergy of regenerative cities is attributed to the advantage of a single system and the effective integration of 2E systems. Beneficial from the advantages of environmental efficiency, the cities on Xinshi Line promote the synergy of the 2E and TIE systems. Therefore, while the Huaihai Economic Zone stimulates the development potential of the single and 2E systems, it is necessary to amplify the superimposition effect of systems in accordance on the basis of resource and location.

Technological Innovation Efficiency Evaluation of Equipment Manufacturing Industry--An Empirical Study of Shandong Province in China

Based on the statistical data of eight sub-sectors of equipment manufacturing industry in Shandong province from 2012-2016,DEA and Malmquist index were used to give the static and dynamic evaluation of technological innovation efficiency.The results show that the overall technological innovation efficiency of Shandong equipment manufacturing industry is higher due to the high pure technical efficiency and scale efficiency.As the technical regress and inefficient allocation of resources deepened,the total factor productivity of Shandong equipment manufacturing industry presents a dropped tendency.According to the innovation efficiency and its changes,different industries should adopt the specific development strategies.

Empirical Study on the Measurement of the High-Tech Industry Efficiency in China--Based on the Data of China＇s 31 Provinces （Including Municipalities and Autonomous Regions）

To evaluate the relative effectiveness of the input and output of the high-tech industry in China＇s 31 provinces （including municipalities and autonomous regions）, DEA evaluation model was constructed using data envelopment analysis （DEA）, and DEA evaluation model was solved using Deap2.1 software, for the purpose of obtaining the DEA efficiency and the non-DEA efficiency in all the provinces （including municipalities and autonomous regions）. Then, the comprehensive efficiency, technical efficiency, scale efficiency, scale return, and projection analysis were analyzed. Finally, the provinces of the non-DEA efficiency are sorted according to three efficiencies, and also a goal of improvement is proposed for the purpose of expanding technology investment in the provinces of the DEA efficiency.

High-tech Industrial Zones Take Lead in Industrial Innovation

China’s 56 leading high-tech industrial zones have led the country’s industrial innovation, playing an important role in the nation’s social and economic development, a government statement said on Jan 1.

Prompting High-tech Industrialization through Mechanism Innovation

With the further implementation of the knowledge innovation program (KIP), piloted by the Chinese Academy of Sciences (CAS), encouraging progress has been made in contributing to the development of the country's high-tech industry, and forging S&T cooperation with local governments and industrial sectors. This was revealed at the Second CAS Conference on High-tech Industrialization April 25 - 29 in Shenzhen, Guangdong Province.

Research on the Influence of Government R&D Funding and Enterprise R&D Investment on the Innovation Efficiency of Pharmaceutical Industry

Objective To study the effect of government R&D funding and enterprise R&D input on innovation efficiency of China’s pharmaceutical industry.Methods Based on the inter-provincial panel data of China’s pharmaceutical industry from 2009 to 2019,the stochastic frontier analysis method was used to study the influence of government R&D funding and enterprise R&D input on the innovation efficiency.Results and Conclusion With 1%increase in government R&D funding,the innovation efficiency of enterprises will increase by 0.122%.When R&D investment increases by 1%,innovation efficiency will increase by 0.169%.Both government R&D funding and enterprise R&D investment promote the innovation efficiency of pharmaceutical enterprises,but the increase of enterprise R&D investment contributes more to the improvement of pharmaceutical innovation efficiency.

Impact of scientific and technological innovation policies on innovation efficiency of high-technology industrial parks-A dual analysis with linear regression and QCA

Scientific and technological innovation policies play a critical role in the innovative development of high-technology industrial parks.However,it remains unclear how scientific and technological innovation policies impact the innovation efficiency of hightechnology industrial parks and what the impact pathways are.An in-depth investigation of this topic can give an insight into the inherent relation between the scientific and technological innovation policies and technological innovation.By conducting a theoretical analysis,this study empirically analyzed the impact of scientific and technological innovation policies on the innovation efficiency of high-technology industrial parks.The main research methods applied in this study were linear regression and qualitative comparative analysis(QCA).The results showed that the policy targets drove innovation efficiency in a relatively minor way.Among all policy tools,the demand-based policy tools had the most significant influence on innovation efficiency.The supply-based and environment-based policy tools had notable positive impacts during the lag periods of policies.The policy mix pathways for scientific and technological innovation policies that impact innovation efficiency come in four forms,namely,the targets-directed,demand-driven,supplydominated environment optimization,and environment-dominated comprehensive pathways.Therefore,this study put forward proposals on classifying and refining the scientific and technological innovation policies and optimizing the policy mix-driven models.

Assessing the innovation efficiency of China's high-tech industry temporal-spatially:An integrated DEA approach

Given the significant role of the high-tech industry(HTI)in the national development,it is crucial to promote its balanced and efficient development.This study aims to investigate the innovation efficiency(IE)of the HTI of China’s mainland from 2009 to 2019 and find practical paths of driving its sustained development.Using an integrated approach within the data envelopment analysis framework,we obtain both static and dynamic IE,of which we also conduct in-depth temporal and spatial analysis based on the Moran index.The results show an uneven and spatially correlated distribution of the IE,and the technological upgrading is identified as the main way of improving the efficiency.Furthermore,the Tobit regression analysis is applied to explore the impact of environmental factors on the IE from the macro perspective.The per capita GDP and the number of R&D institutions reveal a significantly positive effect on the improvement of the IE.Based on our main findings,we also put forward corresponding policy suggestions to enhance the competitiveness of this industry in China.

Investigating the role of emissions trading policy to reduce emissions and improve the efficiency of industrial green innovation

Rapid economic development usually leads to serious environmental pollution problems.In order to solve the problem of pollutant emission in sustainable industrial development,it is urgent to examine the implementation effect of emissions trading policy(ETP)and its impact on green industrial development.This study adopts China's ETP as a case study and selects provincial panel data from 2004 to 2018.We first use a non-radial,non-directed,slack-based measure-directional distance function(SBM-DDF)to measure industrial green innovation efficiency.Then we use a difference in differences(DID)model to empirically test the emissions reduction effect of China's policy and whether it promotes industrial green innovation.Thereafter,results show that:(1)the ETP reduces sulfur dioxide(SO2)emissions indicating the effectiveness of the policy;(2)the policy significantly improves industrial green innovation efficiency,meaning it promotes the sustainable development of the economy;(3)heterogeneity analysis highlights that ETP produces greater benefits for the most polluted regions of China which have more strict environmental regulations.The study examines the effect of emissions trading policy implementation from a new perspective.The study also provides a reference point for China to further refine its policy mechanisms and for other countries to formulate suitable ETP.

A Study on Theoretical Model and Applied Evaluation of Land Use Performance of High-tech Zone in Urban Fringe: A Case Study in Haidian District, Beijing

High-tech industrial zone is an important carrier for constructing innovative cities. It also plays an important role in implementing the national independent innovative strategy. How-ever, most of the high-tech industrial zones have many problems in their development process, such as efficiency of land use, weakness of oriented function and lack of land intensive. To solve these problems, the authors of this paper introduced the concept of land use performance and established the theoretical model to assess the land use performance of high-tech industrial zones. The model consists of the following three-dimensional parts: land use benefit, land use efficiency and innovative function. Based on this theory model, an index system which was composed of three secondary indictors, eight tertiary indictors and 37 fourth-grade indictors was set up to evaluate the land use performance of high-tech zone. To avoid the defects of plus model and function model, the authors brought out a three-dimensional evaluation model to examine the index of the land use performance of the high-tech industrial parks, which equals to the evaluation indicator system of land use performance of high-tech zone based on the above research. The authors examined the land use performance of five different high-tech industrial parks in Haidian District, Beijing City. The results indicated that the indicator system per-forms better in the aspect of evaluating land use benefit, land use efficiency and function of the high-tech industrial zone compared with other models.

Quality of High-Tech Product Marketing A Comparative Study Between Chinese and European Telecommunication Companies in Saudi Arabian Market

This paper specifies substantial characteristics in high-tech industry which is playing an increasingly dominant role in men＇s lives with the rapid development of high-tech industry, among which the telecommunication industry is the best example. From a macro perspective, competition has been fierce in high-tech and telecom over the past years, especially in increasingly saturated markets such as North America and Europe. In order to sustain and thrive in this market, companies have to apply various applicable strategies. The dominance of enterprises from developed nations is not a rare phenomenon. How China as a late-comer can succeed in the high-tech field is a serious issue that requires consideration. China＇s Huawei, a relatively new enterprise that has become a leader in telecom industry, boasts a perfect example in this case. This paper attempts to investigate how Huawei made its way into the telecom sector by comparing with Ericsson, a giant telecom enterprise in European market. More specifically, the paper aims to explore the most significant factors in developing a suitable marketing strategy for telecom companies in Saudi Arabia. The results of the study show that given the nature of telecom industry, innovation and customization play a crucial role in venturing in foreign nations. It can also be concluded that an overall analysis of various factors is quite essential when entering middle-eastern markets such as Saudi Arabia. This also gives China a revelation that being a late-comer is never an excuse to expand its telecom sector, instead, as long as due attention is given to enterprises＇ marketing strategies and competitiveness. Conclusions have been made about the nature, characteristics, the Saudi Arabia markets, and goals and objectives telecommunication in Saudi Arabia. Methodology has been used for stating and structuring the empirical data.

高质量发展下中国工业企业碳减排路径选择

管理改进与技术创新是工业企业实现高质量减排的两大关键路径。运用Shapley值分解方法实证测度了技术创新与管理改进对工业企业碳减排技术进步效率的贡献作用。结果发现,整体上技术创新与管理改进的贡献率分别为28.45%和71.55%,并且二者贡献率在不同类型特征企业之间存在明显差异。随着企业技术进步水平、雇佣规模和能耗水平的提升,技术创新的贡献率逐步递减,而管理创新的贡献率则呈现递增趋势。首次对企业管理改进与技术创新对碳排放效率的贡献进行测度,为优化“双碳”目标政策与指导企业减排行动提供有益参考。

市场激励型环境规制与区域绿色创新效率——基于产业结构优化的中介作用和财政分权的调节作用

市场激励型环境规制是解决环境治理负外部性、推进区域绿色创新效率的重要途径。以2005~2020年省级面板数据为研究对象,采用系统广义矩模型(GMM)法检验市场激励型环境规制对区域绿色创新效率的影响效应及作用机理。结果表明:市场激励型环境规制能够显著促进区域绿色创新效率的提升;从影响机制来看,市场激励型环境规制可以通过促进产业结构合理化和产业结构高级化显著促进区域绿色创新效率的提升。此外,有效的财政分权环境能够正向调节市场激励型环境规制与区域绿色创新效率的关系。

数字金融发展与“两业”融合——经济高质量发展背景下的机制识别与效应检验

先进制造业和现代服务业融合是高质量发展实体经济的内在要求。数字金融作为传统金融业和数字信息技术融合的重要创新产品,对制造业与服务业融合有着重要影响。研究利用286个地级及以上城市2011—2019年的面板数据,并通过面板门槛模型等回归方式,考察了数字金融发展对“两业”深度融合的影响和传导机理。研究发现:(1)数字金融发展对提升“两业”融合水平具有显著影响,技术创新和资本配置效率是数字金融影响“两业”融合的主要机制;(2)数字金融对“两业”融合的影响具有明显的非线性特征,在数字金融发展的不同阶段具有不同的作用效果;(3)异质性检验发现数字金融发展对“两业”融合的促进作用在经济发展水平较高、工业化程度适中和国家政策试点的城市更为显著;(4)数字金融提升“两业”融合水平会巩固产业基础,提高产业核心竞争力,最终促进经济高质量发展。

数字经济、科技创新与制造业转型升级

文章基于2010—2021年我国30个省份的统计数据,深入研究了数字经济、科技创新与制造业转型升级之间的关系,结果显示,数字经济能够促进制造业高度化和合理化转型升级,通过工具变量法进行稳健性检验后,该结论依旧成立。中介效应检验结果显示,数字经济能够通过科技人才集聚和科技创新效率推动制造业高度化和合理化转型升级。门槛效应检验结果显示,科技人才集聚和科技创新效率在制造业高度化转型升级中均存在单一门槛效应,在制造业合理化转型升级中均存在双重门槛效应。异质性分析结果显示,数字经济对制造业高度化转型升级的影响存在时间异质性,但对制造业合理化转型升级的影响不存在时间异质性;数字经济对制造业高度化和合理化转型升级的影响均存在空间异质性,对沿海区域的影响效应比内陆区域更显著。

机器人应用对旅游产业绿色创新效率的影响

在全球范围内,机器人技术的迅猛发展正为旅游产业绿色发展转型提供新的动力.该文基于颠覆性创新理论,以2010—2019年中国省级旅游产业为研究对象,利用国际机器人联合会(IFR)数据,并结合超效率SBM模型和固定效应模型,对机器人应用对旅游产业绿色创新效率的影响进行了测量与分析.研究发现:1)机器人应用驱动了旅游产业绿色创新效率的提升,该结论在考虑内生性问题和进行稳健性检验时依然成立.2)机器人应用可以通过增强地区旅游业密集度和提高旅游行业竞争性两条路径,对旅游产业绿色创新效率产生正向作用.3)减少旅游业一般性人力资本可以强化机器人应用对绿色创新的促进作用.4)机器人应用对旅游产业绿色创新效率的积极影响存在显著的区域异质性.该研究为理解中国旅游产业绿色创新效率的发展提供了新视角,也对于合理利用机器人以提升旅游产业的绿色创新效率提供了实证依据和策略建议.

数字化转型对工业企业创新效率的影响研究

本文就数字化转型对工业企业创新效率的影响进行实证检验。其中,以工业企业创新效率为因变量,数字化转型为自变量,企业规模、企业产权结构、对外开放程度、资产负债率、创新氛围、政府支持为控制变量,通过多重共线性分析、回归分析、异质性检验和稳健性分析,验证了因变量和自变量之间的相关性。结果表明,我国工业企业数字化转型显著提高了工业企业创新效率;不同行业类型的工业企业中,数字化转型对工业企业创新效率的影响不同,在资源密集型和劳动密集型产业中,数字化转型对工业企业创新效率存在线性促进作用;在资本密集型产业中,数字化转型对工业企业创新效率存在非线性影响,呈倒U型;在技术密集型产业中,数字化转型对工业企业创新效率存在非线性影响,呈U型。在此基础上,为提高工业企业创新效率,分别从企业层面和政府层面提出了针对性建议与政策,充分发挥数字化转型对工业企业创新效率的促进作用。

数字基础设施建设对城市绿色创新效率的影响——基于“宽带中国”战略试点政策的准自然实验

本文基于我国280个地级及以上城市2006~2021年的面板数据,利用多期双重差分模型考察“宽带中国”战略试点政策实施对城市绿色创新效率的影响效应、内在机制及异质性表现。研究发现:(1)“宽带中国”战略试点政策实施对城市绿色创新效率具有显著的提升作用,并且在一系列稳健性检验后结果依然稳健;(2)劳动力流动和生产性服务业集聚是“宽带中国”战略试点政策实施提高城市绿色创新效率的两种机制;(3)“宽带中国”战略试点政策实施对城市绿色创新效率的促进作用在东部城市、大规模城市、非资源型城市中更强;(4)正式环境规制和非正式环境规制正向调节“宽带中国”战略试点政策实施对城市绿色创新效率的驱动作用。本文为推动数字基础设施建设以及城市绿色创新效率的提升提供了重要政策启示。

新能源汽车产业集聚对区域绿色经济效率的影响——基于长江经济带的实证研究

将产业集聚、绿色技术创新和绿色经济效率纳入同一研究框架,聚焦长江经济带,研究新能源汽车产业集聚对绿色经济效率的影响,为我国在“双碳”背景下推进实现制造强国的战略目标及长江经济带新能源汽车发展提供参考。论文基于2012—2020年长江经济带沿线11个省市面板数据,综合利用超效率SBM和区位熵法,构建计量模型,实证研究新能源汽车产业集聚对绿色经济效率的影响,探讨绿色技术创新的中介效应,并进一步分析新能源汽车产业集聚对绿色经济效率的空间溢出效应和区域异质性。研究结果表明:1)长江经济带整个区域已形成“带状”新能源汽车产业集聚区,集聚平均水平随年份波动上升,上中下游产业集聚水平呈递增格局,水平差异较大且有逐渐增加趋势;2)新能源汽车产业集聚通过整合内部网络资源和提升外部整体能力,对长江经济带绿色经济效率具有正向促进作用;3)产业集聚的发展通过竞争效应和合作效应促进绿色技术创新,而绿色技术创新的发展可以提升经济动力和效率,因而绿色技术创新在产业集聚与绿色经济效率之间具有中介作用;4)新能源汽车产业集聚对绿色经济效率具有空间溢出效应,上中下游新能源汽车产业集聚对绿色经济效率的影响存在差异。据此,从加强产业集群建设,发挥新能源汽车产业发展的长效机制、强化发展绿色技术创新体系和推动新能源汽车区域异质性发展三个方面提出对策建议。

知识产权保护对数字产业创新效率的影响

知识产权保护是提升数字产业创新效率的有力支撑,也是助推创新型国家建设的重要抓手。本文借助渐进式双重差分模型,使用2010~2022年我国上市公司数据考察知识产权保护对数字产业创新效率的影响。结果显示:(1)知识产权保护能够正向提升数字产业创新效率,且随着数字产业创新效率持续提升,知识产权保护的正向驱动效应呈边际递增特征;(2)机制检验结果显示,知识产权保护可通过促进知识溢出、提升技术创新和人力资本水平驱动数字产业创新效率提升;(3)异质性检验结果显示,相较于西部及东北部地区、传媒服务业和国有企业,知识产权保护更能推动东、中部地区、软件开发及信息技术服务业和非国有数字企业创新效率提升。基于此,提出多管齐下健全知识产权保护机制、多路并进提升数字产业创新效率、因地制宜推动数字产业协同发展的对策建议,希冀为提高数字产业创新效率提供相关理论经验。