本文在“共生理论”的视角下，结合“创新群落—资源—技术—环境”4个核心生态要素，采用DEMATEL方法对30个测度指标进行重要性排序，从中删选出关键条件因素，进而运用fsQCA方法通过挖掘案例地区影响RIES系统能级提升的前因构型，从组态视角探索RIES系统能级提升的关键路径。研究发现：（1）创新种群的多样性与优势性、创新资源的禀赋水平、技术转移转化的能力以及创新环境会对RIES系统的能级产生重要影响，是决定RIES系统能级水平的重要因素；（2）驱动高能级的四条路径分别为“创新种群—资源生态位—环境生态位”均衡驱动路径、“高环境生态位—优势创新种群”双重驱动路径、“高资源生态位—高技术生态位”协同驱动路径、“创新种群—资源生态位—技术生态位—环境生态位”全面协调路径，上述4条路径进一步说明RIES系统能级提升具有“多重并发因果关系”，在一定程度上推动了整体视角下对RIES系统的研究。

From the perspective of "symbiosis theory", combined with the four core ecological elements of "innovation community - resources - technology - environment", this paper uses the DEMATEL method to rank the importance of 30 measurement indicators, delete the key condition factors, and then use the fsqca method to explore the key path of ries system energy level improvement from the perspective of configuration by mining the antecedent configurations that affect the ries system energy level improvement in the case area. It is found that: (1) innovation subject, innovation resources, innovation environment, collaborative innovation and system opening will have an important impact on the energy level of ries system, which is an important factor determining the energy level of ries system; (2) The four paths that drive the high-energy level are the balanced drive path of "innovative population resource niche environmental niche", "high environmental niche advantageous innovative population" dual drive path, "high resource niche high technology niche" collaborative drive path, "innovative population resource niche technology niche environmental niche" comprehensive coordination path, The above four paths further illustrate that the energy level rise of ries system has "multiple concurrent causality", which promotes the study of ries system from the overall perspective to a certain extent.

建设创新生态系统并发挥共生效应是推动地区科技创新发展的首选战略。结合2007-2015年中国30个省市相关数据，利用共生测度模型计算我国区域创新生态系统共生度，并进一步建立静态和动态面板数据模型，实证分析区域创新生态系统共生与科技创新绩效间的关系。研究结果表明：我国区域创新生态系统共生度整体呈“U”型发展特征，东部地区远高于中西部地区，地区间差异较大且下降幅度尚显微弱；短期内创新生态系统共生对科技创新的促进作用相对较弱，共生单元的作用效果并不显著，而长期内创新生态系统共生的正向驱动效应明显放大，且共生单元呈负向抑制作用；地区科技创新的累积效应明显，共生基质、共生平台和共生环境始终对科技创新具有正向驱动作用，而共生网络的正向驱动效应均不明显。

The digital economy plays an important role in promoting regional green innovation. Based on the panel data of 30 provincial administrative regions in mainland China (except Tibet) from 2011 to 2018, this paper constructs a comprehensive development index of the digital economy and explores the potential path of the digital economy affecting regional green innovation through factor analysis and regression analysis. The results show the following: Firstly, the digital economy can effectively promote regional green innovation capability. The causal relationship is mainly realized through scientific research funds and human resources. Secondly, in terms of regional heterogeneity, the role of the digital economy in promoting green innovation and R&D investment in eastern China is stronger than that in central and western China. Thirdly, further analysis showed that the digital economy has a significant nonlinear influence on regional green innovation capability. This feature is mainly reflected in the influence of R&D personnel on regional green innovation. Therefore, the rational allocation of R&D resources is conducive to the development of regional green innovation. Finally, it is suggested to improve the two mechanisms of R&D funds and personnel investment to actuate regional green innovation development.

This paper explores the cultivation paths of innovation ecosystems in the digital age by constructing a theoretical framework consisting of innovators, elements of innovation, platforms and digital governance. Four cities in China, Shenzhen, Hangzhou, Xuzhou and Weifang, were selected for in-depth case studies. Findings revealed that: (1) regions with ‘head enterprises’ and a strong industrial base achieve a competitive advantage via the synergy of digital industrialisation and industrial digitalisation; (2) digital technology pioneer regions can adopt digital industrialisation; (3) regions with a strong industrial base and traditional manufacturing industries can prioritise industrial digitalisation and (4) manufacturing regions with a large number of small and mid-size enterprises (SMEs) who can combine industrial digitalisation and digital value. This study provides theoretical and practical value for the cultivation of regional innovation ecosystems.

The remarkable connectivity and embeddedness of digital technologies enable innovations undertaken by a broad set of actors, often beyond organizational and industry boundaries, whose relationships mimic those of interdependent species in a natural ecosystem. These digital innovation ecosystems, if successful, can spawn countless innovations of substantial social and economic value, but are complex and prone to often surprising failure. Aiming to understand ecosystems as a new organizational form for digital innovations, I develop a theory that addresses an underexplored but important question: In a digital innovation ecosystem, how are the efforts of autonomous parties integrated into a coherent whole and what role do digital technologies play in this integration? By synthesizing ecological and information perspectives, this information ecology theory identifies several key functions that digital technologies serve in providing the information needed to support the interactions and tasks for innovation in ecosystems of varying scales. This theory contributes to digital innovation research new insights on managing part–whole relations, the role of digital technologies in innovation, and multilevel interactions in and across digital innovation ecosystems. The theory can also inspire the development of next-generation information systems for ecosystems as a new organizational form.

Our era is one of increasingly pervasive digital technologies, which penetrate deeply into the very core of the products, services, and operations of many organizations and radically change the nature of product and service innovations. The fundamental properties of digital technology are reprogrammability and data homogenization. Together, they provide an environment of open and flexible affordances that are used in creating innovations characterized by convergence and generativity. An analysis of convergence and generativity observed in innovations with pervasive digital technologies reveals three traits: (1) the importance of digital technology platforms, (2) the emergence of distributed innovations, and (3) the prevalence of combinatorial innovation. Each of the six articles in this special issue relates to one or more of these three traits. In this essay, we explore the organizational research implications of these three digital innovation traits and identify research opportunities for organization science scholars. Examples from the articles in this special issue on organizing for innovation in the digitized world are used to demonstrate the kind of organizational scholarship that can faithfully reflect and inform innovation in a world of pervasive digital technologies.

数字经济的发展改变了市场要素供给结构，为资源配置提供了新机制，基于2011-2018年中国城市层面和技术企业个体层面的数据，使用“VHSD-EM”模型从多维指标体系评价数字经济发展指数，基于资源配置理论，实证检验数字经济对技术企业的资源配置效应。研究发现：数字经济的发展显著提高了技术企业的创新资源配置，在替换变量和引入工具变量后，其配置效应具有稳健性。数字经济的资源配置效应在不同城市、不同区域、不同企业间存在明显的差异。使用门槛模型发现数字经济对技术企业的资源配置具有“边际效应”递增的非线性特征。使用空间模型发现数字经济对技术企业资源配置具有显著的空间溢出效应，表明数字经济的发展有助于形成企业间协同创新的发展格局。研究意义：从企业微观层面加深了对数字经济红利效应的理解，对提高资源配置和促进企业创新发展具有指导作用。

Digital economy development has changed the supply structure of market factors and provided a new mechanism for resource allocation. Based on the data of Chinese cities and technology enterprises from 2011 to 2018, Using the "VHSD-EM" model to calculate the digital economy development index from multi-dimensional indicators, based on the theory of resource allocation. this paper empirically tests the resource allocation effect of digital economy development on science and technology enterprises. The study found: The development of the digital economy can significantly improve the resource allocation effect of technology companies, after replacing variables and introducing instrumental variables, the configuration effect is robust. Using the threshold model, it is found that the development of digital economy has the nonlinear characteristic of increasing "marginal effect" on the resource allocation of technology enterprises. Using the spatial model, it is found that the development of digital economy has a significant spatial spillover effect on the resource allocation of technology enterprises, Spatially, there are not only exogenous interactive effects of digital economy, but also endogenous interactive effects of resource allocation, which shows that the development of digital economy helps to form the pattern of collaborative innovation development among enterprises. The resource allocation effect of digital economy has obvious heterogeneity among different urban levels, different regions, and different enterprises. Among regions, the resource allocation effect of digital economy development on technology enterprises in central cities is greater than that in peripheral cities. The resource allocation effect of digital economy development on technology enterprises in the eastern region is significantly greater than that in the central and western regions. Among enterprises, the resource allocation effect of digital economy is stronger for technology enterprises with high degree of innovation internationalization and large stock of scientific and technological human capital. This research deepens the understanding of the dividend effect of digital economy from the micro level of enterprises, and plays a guiding role in improving resource allocation and promoting enterprise innovation and development.

Innovation is important strategic support for improving social productivity and overall national strength, and it is also a powerful guarantee for enhancing the core competitiveness. As the main body of regional innovation activities and the gathering place of innovation elements, cities play the role of &quot;leader&quot;. How to find a new source of power to stimulate urban innovation has become the critical point of this research. With the rapid development of the digital economy, data has become a new element in addition to traditional elements such as labor, land, and capital. Can the digital economy empower urban innovation? This article first defines the concept and connotation of the digital economy. Second, a theoretical analysis framework for the impact of the digital economy on urban innovation has been constructed. Third, by selecting the panel data of 283 prefecture-level cities in China from 2016 to 2018, and using micro-big data to construct the &quot;Internet Plus Digital Economy&quot; index, we empirically test the impact and mechanism of the development of the digital economy on urban innovation.<br>The research results show that:First, on the whole, the rapid development of the digital economy can significantly promote urban innovation. After replacing the explained variables, lagging the explanatory variables by one period, eliminating sample selection bias, choosing quantile regression, and using the majors learned by the mayors of cities as the instrumental variable test, this conclusion still established steadily. Second, the agglomeration effect of human capital and the enhancement effect of entrepreneurial vitality are main channels that the development digital economy empowers urban innovation. Third, the spatial Durbin effect analysis shows that the development of the digital economy has significant spatial spillover effects, which not only promotes the improvement of the regional innovation level, but also has a substantial impact on the innovation output of neighboring cities. The digital economy relies on a powerful modern information network to break the locality of spatial distribution, strengthen economic ties between regions, and accelerate the spread and diffusion of innovation spillover effects. From the perspective of the impact of the development of the digital economy on the regional innovation gap, the spatial spillover effect generated by the development of the digital economy can narrow the innovation gap between regions. The digital economy brings &quot;digital dividends&quot; to regional innovation rather than &quot;digital divides&quot;.<br>Therefore, on the one hand, we should vigorously support the development of the digital economy, accelerate the spread and application of the digital economy in multiple fields, increase the scale of digital economy construction, use digital technology to accelerate learning by doing, and improve urban human capital. On the other hand, it is necessary to speed up investment in the construction of network technology facilities in the central and western regions, appropriately release the innovation incentive effect of the digital economy in the eastern region, and allow different production factors to play their respective roles in promoting urban innovation as much as possible, so as to avoid turning digital welfare into the digital divide.

数字技术浪潮为中国实现“碳达峰、碳中和”目标提供了重要动力。本文从理论上分析了数字技术发展对区域碳排放的影响机制，并基于中国284个城市2011-2017年面板数据构建数字技术发展综合指数，实证检验了二者关系的总体效应以及时空演变趋势。研究发现：数字技术发展能显著降低中国城市碳排放强度，并且随时间推移这种碳减排效应呈逐渐增强的趋势，作用机制分析显示，数字技术实现碳减排效应的中介路径除降低能源消耗强度这一直接渠道还包括促进产业结构升级和提高区域技术创新水平的间接渠道；空间计量分析表明，数字技术可通过空间外溢效应降低邻近城市的碳排放强度，有助于形成地区间协调发展的碳减排格局；另外，相较于中西部城市和外围城市，数字技术在东部和中心城市才能发挥显著的抑制碳排放作用。基于上述发现，本文从提高数字基础设施能耗效率、进一步破除行政和产业壁垒以及采取因地制宜的数字技术发展战略等方面提出了相应政策建议。

The wide application of digital technology has driven the Global Fourth Industrial Revolution. As the world&#039;s largest emerging economy, China has launched new infrastructure construction and accelerated the development of digital technologies such as 5G, data centers, cloud computing and the Internet of Things. Meanwhile, China faces the urgent task of carbon emission reduction. The wave of digital technology has provided an important impetus for China to achieve the goal of &quot;carbon peak and carbon neutrality&quot;. Based on the panel data of 284 Chinese cities from 2011 to 2017, this paper constructs a comprehensive index of digital technology development from four aspects: digital infrastructure, digital factor input, digital technology-related output and digital transaction development, not only theoretically analyzes the influence mechanism of digital technology development on regional carbon emissions, but also empirically tests the overall effect of the relationship and its temporal and spatial evolution trends. In order to alleviate the possible endogenous problems, this paper takes the interaction term of the historical throughput of post and telecommunications and the annual per capita telecom revenue of each city as the instrumental variable of the digital technology development index, and constructs the two-stage least squares regression model (IV-2SLS). Then, the mediating effect model is used to test the influence paths of digital technology influencing regional carbon emissions. Considering that the three paths of the impact of digital technology on carbon emissions have different durations, the impact of digital technology on carbon emissions may have time heterogeneity. So the core explanatory variables are replaced by the digital technology development index of the current period, the first lag period and the second lag period respectively for regression. In order to further verify the spatial spillover effect of digital technology development on carbon emissions, this paper constructed the geographical distance matrix, economic distance matrix and adjacency matrix at the city level respectively, and adopted the spatial panel econometric model for spatial estimation. It is found that the development of digital technology can significantly reduce the carbon emission intensity of Chinese cities, and this conclusion is still robust through a series of robustness tests. The mechanism analysis shows that the intermediate paths of digital technology to achieve carbon emission reduction effect includes reducing energy consumption intensity, promoting industrial structure upgrading as well as improving regional technological innovation level. The spatial and temporal dynamic effect analysis shows that the carbon emission reduction effect of digital technology gradually increases with time, and digital technology can reduce the carbon emission intensity of neighboring cities through spatial spillover effect, which is conducive to the formation of coordinated regional carbon emission reduction pattern. In addition, digital technology has a significant inhibitory effect on carbon emission in eastern cities, but not in central and western cities, it can significantly reduce the carbon emission intensity of central cities, but can not play a significant inhibitory effect on carbon emission in peripheral cities. Based on the findings, we puts forward corresponding policy recommendations on improving energy efficiency of digital infrastructure, further breaking down administrative and industrial barriers, and adopting digital technology development strategies tailored to local conditions.

数字技术创新是数字经济的发展核心驱动力,深入探讨数字技术创新的区域分布格局及其形成机制有助于推动地区数字经济布局及其高质量发展。基于数字经济与专利国际分类号的对应关系获取了2003&#x02014;2018年数字经济的专利产出数据,并分析了长三角地区数字技术创新发展时空格局及其影响因素。研究发现：①数字技术创新规模和活力呈现明显空间分异特征,在上海市、江苏南部、浙江东北部、安徽中部形成集聚分布的格局,集聚程度呈降低趋势。②莫兰指数及空间计量的结果均显示长三角地区的数字技术创新规模和活力具有较为显著空间溢出效应。③结果证实经济发展、人力资本、资本富集、数字接入、基础设施建设对数字技术创新具有显著正向影响,环境污染有显著负向影响。数字技术创新的技术经济范式转变为相对落后地区的经济发展提供了新的赶超机会,未来相对落后地区高质量发展还要更多关注数字经济核心竞争力培育,加强数字基础设施建设和数字技术创新能力建设。

Digital technology innovation is the core driving force of the digital economy development. An in-depth study on the regional distribution pattern and its formation mechanism of digital technology innovation is helpful to promote the regional digital economy and its high-quality development. Based on the corresponding relationship between digital economy and international patent classification,this paper obtains the patent output data of digital economy from 2003 to 2018,and analyzes the spatial and temporal pattern of digital technology innovation and its factors in the Yangtze River Delta. The results show that: 1) The scale and vitality of digital technology innovation show obvious spatial differentiation,and form a pattern of agglomeration distribution in Shanghai,southern Jiangsu,northeastern Zhejiang and central Anhui,and the agglomeration degree is decreasing. 2) The results of Moran' I and spatial measurement show that the scale and vitality of digital technology innovation in the Yangtze River Delta region have a significant spatial spillover effect. 3) The results confirm that economic development,human capital,capital enrichment,digital access and infrastructure construction have a significant positive impact on digital technology innovation,while environmental pollution has a significant negative impact. The transformation of the technological and economic paradigm of technological innovation provides a new opportunity for the economic development of the relatively backward areas to catch up. In the future,the high-quality development of central and western regions should pay more attention to the cultivation of the core competitiveness of digital economy,and strengthen the construction of digital infrastructure and the construction of digital technology innovation ability.