China's industrial economy is growing at a high speed. In order to alleviate the ensuing problems of energy shortage and environmental pollution, the main source of China's industrial growth has been transformed from labor and capital investment to technological progress. However, there is still a considerable scale of manufacturing industries which show extensive growth and remain at the middle level and low endof the international industrial chain, and thus it is urgent to adjust the economic structure and realize industrial upgrading. The general economic development trend involves social networking, digitization and intelligence. The combination of digitization and carbon emissions has brought new driving forces to the development of industrial enterprises.#br#Given the digital strategy and the goals of "carbon peak" and "carbon neutrality", this paper discusses the nonlinear impact mechanism of digital level on corporate carbon performance and the mediating transmission of green technology innovation from three dimensions of digital construction, application and development. The data of Chinese industrial enterprises and the dynamic GMM model from 2010 to 2020 are selected for the empirical testing. The results reveal that firstly the level of digital construction, application and development has a U-shaped relationship with the carbon performance of enterprises. The levels of digital construction and application in most central and western provinces have not crossed the inflection point, and the impact on the carbon performance of enterprises is still in the inhibition stage. However, the digital development levels of eastern China and a few central and western provinces have crossed the inflection point, and has a significant promotion effect on the carbon performance of enterprises. Secondly both corporate inventive green technology innovation and improved green technology innovation play a partial mediating role between digital construction, application and development level and corporate carbon performance. The mediation effect decomposition shows that compared with improved green technology innovation, inventive green technology innovation has a more significant mediating role between various dimensions of digitalization level and corporate carbon performance. The robustness test is carried out by changing the data year, and it is found that the above conclusions still hold.#br#With integration of digitalization level, green technology innovation and enterprise carbon performance into a unified framework, this study discusses the nonlinear impact mechanism of different dimensions of digitalization level on enterprise carbon performance, as well as the mediating role of green technology innovation. It helps to improve the promotion effect of digital technology on enterprise low-carbon development, and provide decision-making reference for relevant departments to formulate the digitalization low-carbon development strategies. The following policy implications are therefor proposed. (1) The government should increase the digitalization investment in the central and western regions, and with appropriate preference to the central and western regions when formulating digital transformation policies to ease the development gap of regional enterprises' digitalization level, and accelerate the promotion of digital level on carbon performance. The central and western regions should strengthen communication and cooperation with the east, and deepen the introduction, digestion and absorption of digital technology to shorten the time when digital application level blocks carbon performance. The government should further optimize the digital talent incentive mechanism and digital industry guidance fund, and support outstanding digital industry entities to achieve high-quality digital development. (2) Enterprises should optimize the allocation of green technology innovation resources and promote the deep integration of digitalization and green technology innovation. The government should strengthen the financial support and property right protection for enterprises' green technology innovation, and further build the existing data resource platform with digital technology to achieve intelligent and real-time supervision and improve the quality of government environmental supervision. It is also necessary for enterprises to increase investment ingreen technology innovation according to their own actual conditions, and promote the transformation and technological upgrading of improved green technology innovation to effectively promote the green and low-carbon development of enterprises.#br#

With the increasing awareness of environmental protection in all walks of life, the green development of enterprises is getting more and more attention. Only by integrating the green and low-carbon sustainable development strategy into the development of enterprises can enterprises gain market recognition and competitive advantages, and enterprises' green transformation shall take a long time. The most effective way for enterprises to respond to environmental regulations (ER) is to implement environmental strategies (ES) and carry out green technological innovation (GTI). Among them, according to the different subjects and forms of constraints, this paper divides environmental regulation into command and control environment regulations (CAC), market-based incentive(MBI) and voluntary environmental program(VEP). According to the purpose and direction of its implementation, environment strategy is divided into reactive (RES) and proactive (PES) types. On one hand, existing research has gradually shifted from a single regulatory influence to a multi-regulatory composite analysis, while the attention to regulatory constraints is mostly influenced by the government, and corporate spontaneous constraints are less, and thus it is necessary to sort out the effects and differences of heterogeneous environmental regulations. On the other hand, most studies focus on the overall driving mechanism and effect of environmental strategies, ignoring the fact that enterprises dynamically adjust environmental strategies, and cannot explain the mechanism of differences in environmental performance caused by coordinating dual environmental strategies under different scenarios. In addition, less attention is paid to the impact on response regulation, strategic decision-making and behavioral performance of enterprises due to their differences in life cycle stages. Therefore drawing on the natural resource base view and institutional theory, this paper constructs a research framework of "environmental regulation—environmental strategy—green technology innovation" according to the heavily polluting manufacturing listed companies in China and discusses how enterprises can respond to heterogeneous environmental regulations and promote green technology innovation by coordinating dual environmental strategies.#br#The sample companies are determined by referring to the Environmental Information Disclosure Guide of Listed Companies in 2010 and the Industry Classification Standard issued by China Securities Regulatory Commission in 2012, and the sample data of 358 companies from 2013 to 2020 are selected from China Environmental Statistics Yearbook and CNRDS database, with a total of 2 864 valid observation results.#br#The findings are as follows. (1) Environmental regulation has a positive impact on environmental strategy. VEP has the highest importance to each strategy, and it has a higher impact on PES than RES; CAC has a greater impact on RES while MBI is more important to PES. (2) There are differences in the promotion effects of various environmental regulations on green technological innovation. MBI is the most important, followed by VEP and finally CAC. (3) Environmental dual strategy plays a mediating role in environmental regulations and green technological innovation. Various ER affect GTI by affecting RES and PES; both RES and PES promote GTI, and PES is more important. (4) For enterprises with different life cycles, in the process of ER driving ES, there is no significant difference in the promotion effect of CAC in each life cycle stage; the promotion effect of MBI on ES in growth period is stronger; VEP has a stronger effect on the implementation of RES in mature stage and PES in recession stage, and in the process of ES driving GTI, the positive effect of RES in mature period is higher than in other periods; the positive effect of PES in recession period is the greatest. In the process of ER to promote GTI, the promotion effect of growing enterprises under the influence of various ER is stronger.#br# By dividing the subject and form of constraints,this study explores the driving effects of different types of environmental regulations on enterprise environmental dual strategy and green technology innovation, and reveals the performance from external systems to internal strategies. It further expounds the differences of environmental dual strategy in regulating and influencing green technological innovation from the dual strategic perspective, the natural resource-based view and etc.,improving the practical understanding of environmental strategy and enriching the theoretical value and applied research of dual strategy. Moreover with the effectiveness analysis of the driving mechanism of green technology innovation in different enterprise life cycle scenarios, the research perspective of green technology innovation has been expanded.#br#

With the strategic goals of "carbon neutrality and carbon peaking", green transformation and upgrading is critical for the fundamental transformation of economic development. The technological dividend brought by the development of the digital economy provides an important opportunity for the green transformation and upgrading of the manufacturing industry, and gradually becomes the core element driving the green transformation and upgrading of the manufacturing industry. New digital models such as smart manufacturing and industrial Internet emerge one after another to accelerate the integration and innovation of the modern manufacturing industry, and help to solve the sore points in the green transformation and upgrading of China's manufacturing industry.#br#Most of the existing research on the digital economy and the green transformation and upgrading of the manufacturing industry has analyzed the role of the digital economy in enabling industrial upgrading and promoting high-quality development from the macro level, but the synergistic enabling mechanism of the digital economy in the macro environment and the micro organization has not been tapped; the mechanism of the role of the digital economy on the green transformation and upgrading of the manufacturing industry is still in a black box. Therefore, it is necessary to explore the influence mechanism of digital economy on the green transformation and upgrading of the manufacturing industry from the internal and external perspectives of enterprises, and put forward effective ways and government intervention strategies to realize the green transformation and upgrading of the manufacturing industry.#br#This paper incorporates industrial digitalization and digital governance into the same analytical framework from the dual perspectives of resource empowerment and structural empowerment based on digital empowerment theory and the combination of dynamic capability theory, green innovation theory and resource-based view, and introduces green process innovation. Using the Super-SBM model, GML index model, text mining method and fixed effects model, it conducts an empirical study on the mechanism of the role of digital economy in empowering green transformation and upgrading of manufacturing industry, with the research samples from 311 listed manufacturing companies from 2015 to 2020.#br#　　The research results show that (1) after taking into account the non-desired outputs such as energy inputs and pollutant emissions, the overall level of green transformation and upgrading in China's manufacturing industry is on an upward trend, but the space for green development needs to be further expanded through technological progress; (2) digital technology transformation in enterprises achieves an improved factor allocation efficiency and generates technological iteration effects in manufacturing enterprises, significantly improving their green transformation and upgrading level; (3) as the two dimensions of green process innovation, cleaner production technology innovation and end-treatment technology innovation play significant mediating roles in the impact of digital technology transformation on the green transformation and upgrading of manufacturing industry; (4) digital governance capability of the government, as a new form of governance, positively moderates the promotion effect of digital technology transformation on green transformation and upgrading in manufacturing. By identifying the situational factors of the digital economy empowering the green transformation and upgrading of the manufacturing industry, it helps the manufacturing industry to achieve sustainable development and provides an important basis for the effective implementation of ecological civilization construction strategy and digital construction in China.#br#　　The paper provides theoretical and practical contributions. By exploring the mechanism of the digital economy enabling green transformation and upgrading of the manufacturing industry from the perspective of the internal and external collaboration of enterprises, this paper enriches the theoretical research on the digital economy and green transformation and upgrading of the manufacturing industry. Meanwhile, on the basis of analyzing the current situation of green transformation and upgrading of the manufacturing industry, this paper explores the strategies from the perspective of the role mechanism of the digital economy in enabling green transformation and upgrading of the manufacturing industry, and provides suggestions for improving the practice of green transformation and upgrading of the manufacturing industry and guiding the government to improve its governance capability.#br#

High-quality development occupies an important role in the digital era, and promotes technologies including big data and artificial intelligence to be integrated with economic development closely. Following the research logic of “theoretical basis—logical system—practical problems—practical strategies”, the internal mechanism and path selection of digital technology's promotion on high-quality development are comprehensively discussed.#br#On the basis of the theoretical analysis of the connotation and nature of high-quality development of digital empowerment and digital technology empowering for development, this paper clearly explains the digital technology's important functions in high-quality development. Along with Chinese economy upgrading to a high-quality development phase from a high-speed growth phase, there is a fundamental requirement for formulating development thinking, enforcing economic policies, and implementing macro-controls by promoting high-quality development. High-quality development refers to stable economic growth, balanced development between urban and rural region, innovative driving force and green environment, so that the citizens can benefit from the economic development more equitably. Development balance, growth stability, environmental sustainability and social fairness together constitute the critical characteristics of high-quality development. Correspondingly digital technology, presenting the characteristics of diversified service objects, virtual roles, collaborative practical operations and organizational ecosystems, can provide intelligent decision-making service for multiple parties at the same time. The efficiency of resource allocation and total factor productivity can be improved by digital technology with the functions of promoting the traditional industries and optimizing people's consumption experience, for it could inject sustainable and abundant vitality into high-quality development. The typical digital technologies like big data, cloud computing and artificial intelligence play practical roles in data identification and mining, extraction and integration, and human-computer interaction. High-quality development implies the transformation of development mode, the optimization of economic structure, the innovation of growth momentum and the improvement of total factor productivity through the implementation of the new development concepts. Digital technology promotes the quality and efficiency of development by promoting the efficient flow of resources and reducing factor costs, thus creating a high level of supply and demand balance.#br#With the dissection of the fundamental logic in which digital technology promotes high-quality development from the perspectives of comprehensive and rapid changes, economic transformation and upgrading, subversion of development methods and innovative support, the study confirms that digital technology optimizes the development process in rapid iterative updating, creates development opportunities in the innovation paradigm, and subverts the development mode in extensive integration; moreover it is conducive to production cycle and value realization, and can provide huge possibilities for innovation and development. Besides in the digital age, the advanced digital technologies also help market players to improve the level of innovation and development, and provide diversified innovative support and strategic opportunities for high-quality development by the effects of expanding knowledge spillover.#br#This study deconstructs the difficult and complex environment, various barriers and new contradictions in the high-quality development facilitated by digital technology. It is found that some of the prominent problems in China's efforts to break through technology bottlenecks are the overemphasis on quantitative growth and the ignorance of ecological environment and people's livelihood. Moreover, the digital transformation of market entities faces multiple obstacles due to the imbalance and inadequacy of the original development. Thus there are complex and diverse challenges in the promotion of digital technology for high-quality development. The specific strategies to promote high-quality development in the new stage are proposed. This paper holds that the development should be optimized from the perspectives of digital technology innovation,a modern economic system, new development concepts, supply-side structural reforms, efficient markets and promising government coordination. It is important to focus on strengthening the original and independent innovation of digital technology, provide potent support for the construction of a modern economic system, and accelerate the digital transformation of industries under the guidance of new development concepts. In addition it is essential to build a reasonable and effective digital empowerment development pattern in the process of continuously optimizing the relations between effective market and well-functioning government, and further execute supply-side structural reform and resolve contradictions.#br#

Green technology innovation is the fundamental way to promote the transformation of regional economic structure, and a reasonable environmental management system is the key to encouraging regional enterprises to carry out green innovation. As the main body of green innovation, enterprises need to bear the dual externalities of innovation activities. It is difficult for them to realize green transformation only by market mechanism，and environmental policy intervention of the local governments is an important driver of enterprises' green transformation. #br#The environmental decentralization system, as the basic guarantee for local governments to independently formulate environmental policies, is expected to strengthen the flexibility of local governments in environmental governance. What impact will the existing environmental decentralization system and the level of decentralization have on the efficiency of green innovation of enterprises? It shall promote the green transformation of economic society by exploring this issue. The allocation of power and responsibility in economic affairs between central and local governments will also affect the decision-making of local governments in environmental management. The existing research on the impact of environmental decentralization on green innovation efficiency of enterprises is insufficient, and scholars have paid more attention to the relationship between environmental decentralization and green development. Most scholars focus on exploring the direct impact of environmental decentralization on green development without reaching generally-accepted consensus.#br#Following the theory of heterogeneous environmental decentralization, this paper uses the panel data of China's inter-provincial industrial enterprises from 2009 to 2020, and employs the dynamic GMM panel model to empirically analyze and test the nonlinear impact of environmental protection personnel decentralization, environmental protection funds decentralization，and environmental protection legislation decentralization on the efficiency of green innovation of enterprises，and explore the mediating effect of multiple factors in green R&D input and R&D output of enterprises , and finally it analyzes the moderating effect of fiscal decentralization. #br#The study finds that firstly both the decentralization of environmental protection personnel and decentralization of environmental protection legislation have an inverted U-shaped impact on the efficiency of enterprise green innovation, while the decentralization of environmental protection funds has an U-shaped impact on the efficiency of enterprise green innovation. There are obvious differences in the level of environmental decentralization in different dimensions among provinces in China. At present, three types of environmental decentralization in most provinces in China have not crossed the inflection point, and the impact of environmental protection personnel and legislative decentralization on the efficiency of green innovation of enterprises is in the promotion stage, while environmental protection funds decentralization has a blocking effect on the efficiency of enterprise green innovation. Secondly the green R&D input and R&D output of enterprises are the main transmission channels through which environmental decentralization plays a role in the green innovation efficiency of enterprises. Among them, the input of green R&D personnel and green R&D funds, and the output of green technology and the green economy show a significant partial or complete mediating role. Thirdly fiscal decentralization positively moderates the inverted U-shaped or U-shaped relationship among environmental protection personnel decentralization, environmental protection funds decentralization and the efficiency of green innovation of enterprises, while negatively moderates the inverted U-shaped relationship between the decentralization of environmental protection legislation and the efficiency of enterprise green innovation.#br#On the basis of the research results, this paper puts forward the following suggestions. Firstly for the different dimensions of environmental decentralization, the government should adopt regional differentiated environmental decentralization policies. Secondly the government should pay attention to the mediating role of green R&D input and R&D output, guide and urge enterprises to increase R&D investment and encourage enterprises to carry out technological innovation through environmental policy means. Thirdly it is essential to match the degree of fiscal decentralization with the division of central and regional environmental management authority, and further give play to the advantageous role of local governments in environmental decentralization governance from the perspective of fiscal decentralization.#br#

China is one of the largest digital economies in the world, and it is served as one of the most important testing grounds for digital transformation. Although digitalization is constantly promoting the diffusion of knowledge in physical and virtual spaces, the existing studies have rarely focused on the potential power to cause the changes in regional innovation geography. Since the digital technologies have triggered a new round of innovation growth, they are reshaping the geography of regional innovation in China. This paper aims to investigate the reshaping effect of digitalization on regional innovation geography based on the theory of backwardness advantage. It is of great practical significance for digital dividend sharing and regional coordinated development by judging scientifically the impact of digitalization on China′s regional innovation geography.#br#　　Using 283 city observations in China from 2013-2021,this paper systematically studies the role of digitalization in reshaping regional innovation geography. It selects four dimensions of digital infrastructure, digital element input, digital industry output and digital transaction development to calculate the digitalization index at the city level. Then it constructs the convergence model incorporating the digitalization moderating mechanism to examine the impact of digitalization on the convergence of regional innovation. This paper also investigates the heterogeneous influence of digitalization on the internal innovation convergence process in the northern and southern regions. Furthermore, using the panel threshold regression method, it reveals the nonlinear evolution of the impact of digitalization. The results imply that, first, the overall level of digitalization in China has been continuously improving in recent years, but the digital construction of cities has become polarized. Second, the convergence process of China′s regional innovation and digitalization facilitates the acceleration of this trend significantly. This result still holds after a series of robustness tests. Third, the heterogeneity analysis shows that there is club convergence in regional innovation in the north and south of China, and the innovation convergence rate in the south is faster than that in the north, while the acceleration effect of digitalization on innovation convergence in the north is obviously stronger. Last, the digitalization has an obvious double-threshold effect on regional innovation convergence. Only when the digitalization level reaches the threshold value of 0.154 can it show a significant acceleration effect on the convergence process of regional innovation. #br#　　To sum up, this paper explains the impact of digitalization on regional innovation geography and provides a reference for the new round of digital construction strategies in China. Then it puts forward the following policy implications. Overall, the digital infrastructure construction should be further popularized, with special emphasis on improving the network penetration of underdeveloped cities, and incorporating marginal cities into digital networks to realize economies of scale. For the central government, by scientifically judging the influence of digitalization on regional innovation geography in different regions and stages, digital construction can be an effective and new means to promote high-quality and coordinated regional development. Late-developing cities should employ comparative advantages and digital means to strengthen innovation cooperation with developed cities, further transform exogenous knowledge into endogenous pursuit power, and achieve high-level convergence in innovation. While developed cities should make full use of digital infrastructure to expand the effective scope of innovation spillovers, formulate sustainable inter-regional digital economic dividend sharing policies, and drive late-developing regions to carry out innovation activities at different levels. #br#　　Compared with previous studies, this paper contributes to the literature in three important ways. First, it studies the role of digitalization in reshaping the regional innovation geography, which is an expansion of the research field of digitalization affecting regional innovation. Second, by introducing a digital adjustment mechanism based on the conditional β convergence model, this paper overcomes the limitation that the conditional β convergence model is only used to describe convergence facts. Third, it further analyzes the threshold conditions for digitalization to accelerate the process of regional innovation convergence, and studies the characteristics of regional clubs in the effect of digitalization on reshaping the regional innovation geography. By analyzing threshold effects and heterogeneous facts of digitalization, it provides a decision-making reference for the government to make targeted digitalization strategies.#br#

Since the reform and opening up, China's manufacturing industry has transformed from a follower to a counterpart of those in the developed countries in the process of technology imitation and equipment introduction by using large-caliber international circulation, and has realized the catch-up of technology. The "zigzag lead" between China and the United States has broken the previous US-led global value chain system. With the continuous escalation of trade frictions between China and the United States, the supply side of R&D spillovers is blocked. The "supply decoupling" of key and core technologies and the "chain decoupling" of global industrial transfer have further increased the risk of anti-globalization, and the marginal contribution of using international circulation to promote the technological leap of China's manufacturing industry is increasingly weak. The shift from "spillover inside" to "internal and external spillovers" has become an important support for the transformation to a manufacturing power under the new development pattern. It is urgent to verify if the traditional R&D international circulation spillover will help the manufacturing industry break through the R&D obstacles, and under the new development pattern, what kind of R&D spillovers China's manufacturing industry has to effectively promote the technology leap of manufacturing industry, and then move forward to a manufacturing power.#br#The climbing of the value chain is an important guarantee for unblocking the R&D spillover channels, promoting the transformation of the national value chain to the global value chain, and realizing the technological leap of manufacturing industry by building a R&D system centered on China's manufacturing industry. Strengthening and expanding the regional and local effects of R&D spillovers has become the only way for China's manufacturing industry to use R&D spillovers to drive up the global value chain, and realize the technological leap of manufacturing industry. Especially since the outbreak of the financial crisis in 2008, the accelerated return of manufacturing industries in major developed countries has impeded the international R&D circulation spillover. According to the development pattern of global and regional innovation , the domestic and international R&D circulation spillovers have entered a rebalancing state in the framework of big cycle. This rebalancing state determines the embedding position and climbing height of manufacturing industry in the global value chain, and the R&D double-cycle spillover and value chain climbing are the decisive factors affecting the technological leap of China's manufacturing industry.#br#On the basis of the existing literature and the panel data of China's manufacturing industry from 2008 to 2020, this paper estimates the effects of R&D double-cycle spillovers and value chain climbing on the technological transition of manufacturing industry. The results show that with the comprehensive expansion of intelligent capital in new technology fields such as artificial intelligence and big data, the low adaptability of supply and demand caused by the continuous iteration of new demand makes the positive effect of R&D double-cycle spillover on the technological transition of manufacturing industry insignificant.By further incorporating the value chain climb, it is found that the R&D double-cycle spillover characterized by "zigzag leading" reduces the risk of "chain break" and "supply break" in China's manufacturing industry; it improves the added value and competitiveness of the manufacturing industry, promotes the extension of China's manufacturing industry to both ends of the global value chain, and has a significant positive effect on the technological leap of the manufacturing industry. #br#Compared with the existing literature, the contribution of this paper is mainly reflected in two aspects. First, considering that different types of R&D spillovers have significant differences in the technological transition of manufacturing industry, this paper examines the mechanism of R&D double-cycle spillovers affecting the technological transition of manufacturing industry on the basis of distinguishing different R&D spillover channels under the new development pattern. Secondly, starting from the rebalancing state in the framework of the R&D big cycle, it introduces the value chain climbing into the model, and makes a deep investigation of the dynamic mechanism of the R&D double cycle spillover and the value chain climbing on the manufacturing technology transition.#br#

In an increasingly complex and changeable economic environment, enterprises must keep promoting innovation to survive, succeed and create competitive advantages. In order to gain a sustainable innovation advantage, organizations should internalize the spirit of innovation into the work habits of every employee. Then how to develop employees' innovative habits and stimulate their innovative behavior? In recent years, many scholars have found that individual factors (e.g., personal traits, psychological states and cognitive styles) as well as team factors (e.g., leadership style, knowledge flow and team climate) have a significant impact on employees' innovative behavior. Therefore, they suggest screening employees with certain characteristics or creating a certain type of work climate. However, the above means (approaches) are too general to be applicable in the current research context and do not necessarily answer the research questions.#br#Through interviews with managers and grassroots employees, it is understood that changes in the external economic environment first hit the organization's business, which brought about adjustments in employees' job content and work styles, as well as higher demands on their skill variety. In this context, focusing on employee skill variety (job characteristics) rather than individual employee characteristics takes into account the contextual relevance of innovation activities and helps to deeply analyze the antecedent variables affecting employee innovation behavior. In addition, in job diagnostic research, Hackman and Oldham (1975) asserted that job characteristics affect employees' work output by influencing their psychological states. Inspired by this, this paper focuses on employees' psychological cognitive states and explores the serial mediating effect of core self-evaluation and harmonious passion between job skill variety and employees' innovative behavior from a self-perception perspective.#br#Given the need for the sample to closely fit the research question, this paper selects two high-tech companies that place a high priority on optimizing the skills of their employees from the manufacturing industry to distribute the questionnaires. The subjects are the front-line employees of different ages and departments in the two companies, such as those engaged in technical support, performance development, R&D experiments, on-site processes, product testing and after-sales service. These employees are required to have diverse work skills in terms of work tasks, work content and job responsibilities. After conducting a two-stage questionnaire, the study collects a total of 395 data from 395 supervisor-subordinate dyads. Then it runs the confirmatory factor analysis and common method variance test, descriptive analysis, correlation analysis and bootstrapping to test the data. The results show that the selected scales have good discriminant validity;there are no serious common method variance problems;the data results of correlation analysis initially support the main research hypotheses;the data results of structural equation modeling further prove the theoretical hypotheses.#br#Specifically, the results show that (1) job skill variety has a positive effect on core self-evaluation, harmonious passion and innovative behavior;(2) both core self-evaluation and harmonious passion play the mediation role in the relationship between job skill variety and employee innovative behavior;(3) job skill variety has an indirect effect on employee innovative behavior through the multiple mediating effect of core self-evaluation and harmonious passion.#br#The implications for managers arising from the study as follows: (1) it is essential to pay attention to the diversity of employees' job skills, carry out job analysis and job design in conjunction with market changes, and update employees' job descriptions in a timely manner;(2) employees' psychological perceptions are important so that it is necessary to collect employees' feedback on job characteristics in a timely manner, and guide and improve employees' core self-evaluation through various communication channels (e.g., weekly and morning meetings, psychological counseling);(3) it is also meaningful to take effective measures to stimulate and maintain the harmonious-type passion of grassroots employees. This paper creatively integrates the relevant research on job characteristics, self-cognition and innovative behavior, and discusses the relationship between skill variety and employee innovative behavior from the perspective of self-enhancement. It expands the application scope of self-enhancement theory, and promotes the combination of job design and social psychology.#br#

The knowledge economy has grown with the continuous development of the world. It is difficult for enterprises to gain market competitiveness by relying only on their own resources with the changing market and new technologies. Collaborative innovation has become an effective choice for enterprises to reduce R&D costs, risks and gain competitive advantages. The participation ratio of key inventor is an important allocation of innovation resources and it determines the achievements of exploitative innovation or exploratory innovation output. It has been found that in collaborative innovation between enterprises, the higher the proportion of key inventors participants, the more inclined it will be to have exploitative innovation, which is not conducive to exploratory innovation. In addition, the innovation activities of key inventors are embedded in the social relations of the organization and affect the collaborative innovation process between enterprises by influencing knowledge acquisition and flow. Multi-dimensional proximity refers to the similarity of collaborative enterprises in space, social relations and knowledge base, and it affects the knowledge creation process of key inventors embedded in the organization and moderates the relationship between key inventors and enterprise collaboration and innovation. Therefore, this paper explores the moderating mechanism of multidimensional proximity in the participation ratio of key inventors and collaborative innovation output of enterprises.#br#The patent data of China's Silk Road Economic Belt and the National High-tech Industrial Development Zone (High-tech Zone) located in the Yangtze River Economic Belt is from the China National Intellectual Property Administration, and the data is taken as the sample in the preliminary screening, with 390 qualified partnerships between enterprises selected. The negative binomial regression model is used to analyze the moderating effects of multidimensional proximity on the relationship between key inventor-firm collaborative exploratory and exploitative innovation outputs. The research results show that geographical proximity has a positive and significant impact on the promotion of the proportion of key inventor participants to collaborative innovation. Social proximity is positively and significantly moderating the relationship between the participation ratio of key inventors and collaborative innovation in enterprises. The closer the proximity of technology is, the greater the promotion effect of the participation ratio of key inventors on collaborative utilization innovation. With the increase of technological proximity, the participation ratio of key inventors has a stronger inhibitory effect on collaborative exploratory innovation.#br#From the perspective of micro-individual research, this paper combines multi-dimensional proximity with the participation ratio of key inventors, and elaborates the influence of the interaction between individuals and firms on inter-firm collaborative innovation, which enriches the research on the relationship between multi-dimensional proximity and inter-firm innovation cooperation. Different from the previous literature, this paper introduces multi-dimensional proximity as a moderating role, suggesting a new research perspective from multi-dimensional proximity.#br#The research results have practical significance for enterprises to optimize the external collaborative relationships and effectively allocate human and knowledge resources. Firstly the geographical distance between cooperative enterprises affects the mechanism of the key R&D participation ratio on the output of cooperative innovation, and this conclusion is helpful for enterprises to better seek partners and develop systems; secondly, in order to reduce knowledge monopolization and free riding in innovation cooperation, focal enterprises could choose partners with more social relations to ensure the smooth completion of innovation cooperation. Finally, when the innovation cooperation project is expected to make exploratory innovation, but the proportion of key R&D staff is small, the focal enterprise can choose partners with low similarity in their technical knowledge. When exploitative innovation is expected to be achieved, the focal enterprises can choose partners with similar technology fields for cooperation.#br#The research is subjective to a number of limitations, for it only takes patent data of innovation cooperation in the "Two Belts", and the number of research samples is small. In addition,it is necessary to further explore if the influence of multi-dimensional proximity on the binary cooperative innovation relationship between key R&D makers and enterprises has a substitutive or complementary effect. Finally, the individual characteristics of key inventors may play a certain role in the dual innovation between key researchers and enterprises, and it is worthy of further study.#br#