Search Results (28)

This paper takes the quasi-natural experiment from the National Big Data Comprehensive Pilot Zone (NBDCPZ) in China as an example to examine the impact of market-oriented allocation of data elements on enhancing enterprises’ New Quality Productive Forces (NQPF). Based on panel data from China’s A-share listed enterprises on the Shanghai and Shenzhen stock exchanges between 2011 and 2022, this study employs a robust policy evaluation method, the multi-way fixed effects staggered difference-in-differences (MWFE Staggered DID) method, to analyze the impact of the NBDCPZ on NQPF comprehensively. The key findings are threefold: First, the NBDCPZ significantly boosts enterprises’ NQPF within their jurisdictions. Second, the NBDCPZ enhances NQPF by accelerating enterprise digital transformation, and the digital talent can amplify the promotional effect of the NBDCPZ on enterprise digital transformation. Third, the NQPF-enhancing effects are more pronounced for privately owned enterprises (POEs), foreign-invested enterprises (FIEs), and smaller enterprises, whereas they exhibit an inhibitory impact on state-owned enterprises (SOEs) and large enterprises. Fourth, the promotional effect of the NBDCPZ on enterprises’ NQPF varies across different industries. Furthermore, regional (city-level) digital infrastructure and financial development levels amplify the NQPF-enhancing effects of the NBDCPZ. Full article

Problem-based learning (PBL) is a student-centered instruction approach focused on skills development in problem-solving, interaction, autonomy, and critical thinking to learn and act to co-create new knowledge and solutions. Rarely, but authors sometimes identify the benefits of PBL for educators, for example, by allocating instructional time more flexibly for monitoring student performance and discussing issues. However, in the era where collaboration among universities and industries is emphasized, the authors pay little attention to contextualizing PBL in a broader context, such as bringing benefits for relationship management with the industry and alumni, promoting regional development, corporate and social responsibility, marketing of educational organizations, and talent development to create a mutual benefit-based ecosystem. Academic discussions about PBL planning and implementation also neglect the needs and motivation of industry stakeholders to get involved, thus narrowing not only the possibilities for cooperation between both parties but also negatively affecting student learning outcomes, which also directly depend on industry partners. Full article

Urgency and severity of climate change impacts have become increasingly prominent, making the enhancement of corporate climate risk disclosure (CCRD) a shared demand among regulators, investors, and the general public. From the perspective of irrational behavioral traits, this paper utilizes a sample of A-share-listed companies in China from 2008 to 2022 to empirically examine the impact of executives’ overseas experiences on CCRD and its underlying mechanisms. To measure firm-level climate risk disclosure, we employ machine learning-based textual analysis techniques and match the constructed disclosure indicators with firms’ financial data. The results demonstrate that executives with overseas experience significantly enhance the level of CCRD, and this effect remains consistent after a series of robustness tests. This effect operates through the dual paths of “climate attention allocation enhancement” and “management myopia mitigation”. Moreover, the positive impact of overseas experience is more pronounced among firms in climate-sensitive industries and regions with lower climate awareness. A further analysis of executive overseas experience characteristics shows that executives with experience in developed economies and those with international educational backgrounds exhibit a stronger influence in promoting CCRD. Additionally, an investigation into the economic consequences demonstrates that executives with overseas experiences not only improve firms’ ESG performances but also help reduce ESG rating discrepancies, reinforcing the beneficial role of overseas exposure in corporate governance. The findings not only provided micro-level empirical evidence for the effectiveness of talent recruitment policies in emerging economies but also yielded critical policy implications for regulatory bodies to refine climate disclosure frameworks and enable enterprises to leverage opportunities in low-carbon transition. Full article

In the context of high-quality economic development, the empowering effect of regional integration policies on urban green and low-carbon development has significantly strengthened, playing a crucial strategic role in achieving the coordinated development of the economy and ecology. This study uses the expansion of the Yangtze River Delta urban agglomeration as a quasi-natural experimental scenario, analyzing the pathways and mechanisms through which regional integration policies influence urban green and low-carbon development based on panel data from Chinese cities between 2004 and 2022, using a multi-period Difference-in-Differences (DID) model. The empirical results show the following: ① Regional integration policies significantly enhance the efficiency of urban green and low-carbon development, a conclusion that remains robust after a series of robustness tests, including PSM-DID estimation, placebo tests, instrumental variable methods, indicator reconstruction, and policy interference exclusion. ② Mechanism tests reveal that regional integration policies mainly drive the green and low-carbon transformation through three channels: innovation investment, industrial upgrading, and talent aggregation. ③ Heterogeneity analysis indicates that the positive impact of regional integration policies on the green and low-carbon development of cities is more significant in eastern regions, resource-based cities, small and medium-sized cities, and old industrial cities. Spatial effect tests show that regional integration development has a significant spatial spillover effect on urban green and low-carbon transformation. Based on these findings, it is recommended that, in the future, in global efforts should be made to continuously improve the regional collaborative governance system, strengthen multi-dimensional linkage mechanisms in urban agglomerations, and build a policy support framework that drives innovation and optimizes the allocation of factors. This study not only provides empirical support for the green efficiency enhancement mechanisms of regional integration policies but also offers decision-making references for promoting regional coordinated development and achieving green economic growth in the digital economy era. Full article

To achieve agricultural modernization, agricultural land must be operated on a large scale. The primary means of encouraging massive operations is through the conveyance of farmland. This is crucial for advancing China’s digital farming. In this article, the degree of digital farming growth is evaluated via the entropy value approach, the impact of farmland transfer on digital agricultural development is analyzed via fixed effects and mediating effects, and the mediating role of resource allocation in farming land transfer to advance digital agriculture growth is investigated. It has been found that agrarian land transfer can effectively stimulate the growth of digital farming. From the mediating effect, farmland transfer fosters the advancement of digital agriculture by transferring farm labor and increasing the input of digital capital. According to heterogeneity analysis, the impact of agricultural land transfer on advancing digital agriculture is more pronounced in eastern and central China. Relevant countermeasures are proposed to enhance the farmland transfer system to promote the large-scale operation of digital agriculture, to increase the input of digital capital to support the growth and construction of digital agriculture, and to improve the regional talent flow mechanism and technological innovation environment to attract from and retain technical talent in digital agriculture. Full article

After a period of rapid growth, China’s pharmaceutical industry is facing multiple challenges, including insufficient innovation and severe pollution. Current research on the efficiency of pharmaceutical companies in China primarily focuses on financial or innovation aspects. Therefore, a holistic approach to operational efficiency is needed. To measure the operational efficiency of pharmaceutical companies in China more accurately and holistically, while accounting for environmental pollution, this study employs a three-stage Data Envelopment Analysis (DEA) model with undesirable outputs to evaluate efficiency across five dimensions: market performance, profitability, financial risk control, innovation, and sustainability. This approach integrates financial, innovation, and sustainability indicators to provide a more industry-specific framework for efficiency measurement. Furthermore, integrating with Stochastic Frontier Analysis (SFA) allows for revealing the impact of environmental factors on efficiency. The results show that both technical efficiency (TE) and pure technical efficiency (PTE) are relatively low in the first and third stages, with significant regional disparities. After excluding environmental factors, some regions—typically economically developed areas—showed improved overall efficiency. This indicates that the local environment in these regions is not conducive to the development of pharmaceutical enterprises. The SFA results further demonstrate that investments in education and high-level talent significantly enhance efficiency, whereas pollutant emissions and per capita income reduce operational efficiency. The findings suggest that local governments should enhance the operational efficiency of pharmaceutical enterprises by investing in education, attracting skilled talent, and improving waste infrastructure. Additionally, less efficient firms are encouraged to optimize resource allocation to achieve higher efficiency. Full article

Regional science and technology cooperation networks are pivotal for fostering sustainable global innovation. The China–ASEAN science and technology cooperation network integrates regional innovation resources, thereby promoting the sustainable flow of innovation elements and complementing technological strengths among countries, which significantly enhances cooperation efficiency and outcomes. This study employs a Social Network Analysis (SNA) and the Temporal Exponential Random Graph Model (TERGM) to analyze co-authored publications between China and ASEAN countries from 2003 to 2022, constructing a cooperation network that integrates both endogenous network structures and exogenous driving factors. This study explores the distinct mechanisms through which these factors influence the formation of cooperative relationships and highlights the key features and determinants of the network. The findings reveal the following: first, the China–ASEAN science and technology cooperation network has evolved from an initial “star-shaped structure” with China and Singapore as central nodes to a more interconnected network exhibiting “small world” and “high clustering” characteristics. Second, endogenous network structures, including the number of edges, node centrality, and closed triadic structures, significantly shape the network’s evolution, with some structures inhibiting the formation of new partnerships, while an increase in shared collaborators promotes new connections. Third, the evolution of the network demonstrates both stability and variability. Fourth, human capital is a key driver of partnership formation, while higher per-capita GDP countries show less inclination to form new partnerships. Fifth, proximity factors have heterogeneous effects: linguistic proximity positively impacts the formation of partnerships, while institutional proximity negatively affects the establishment of new collaborations. Based on these findings, this paper suggests improving international cooperation mechanisms, optimizing resource allocation, and enhancing the development of cross-border scientific talent. These measures aim to enhance the connectivity within the China–ASEAN science and technology cooperation network, effectively improve the utilization efficiency of regional innovation resources and technological capabilities, and promote the sharing and long-term collaboration of innovation resources within the region, thereby advancing sustainable development at both regional and global levels. Full article

The assessment of the relationship between the innovative city pilot policy (ICPP) and urban resilience is crucial for enhancing cities’ ability to foresee, endure, and recover from various disruptive events. Despite the widespread implementation of the ICPP in China, it remains uncertain if this strategy will contribute to the development of urban resilience. Starting with data collected from 245 prefecture-level cities in China from 2004 to 2020, this paper initially evaluates the causal effect of the policy intervention using the difference-in-differences (DID) model and the propensity score matching-difference-in-differences (PSM-DID) method. A multi-dimensional urban resilience measurement index and a mediating effect model were constructed. The empirical results show that (1) the ICPP has a significant effect on urban resilience, which remains in force after a series of robustness tests, such as a placebo test and difference-in-differences machine learning (DML) approach; (2) regional R&D investment, technological talent attraction, green innovation capability enhancement, and information infrastructure development are identified as the mediating variable for the ICPP’s impact on urban resilience dimensions; and (3) heterogeneity study results show that the ICPP has a significantly greater impact on medium-sized cities, attributed to their capacity to enhance the resilience of cities with more growing space. Furthermore, cities with lower economic agglomeration saw a greater increase in urban resilience due to the ICPP. Accordingly, it is recommended to prioritize the allocation of innovative resources to non-coastal regions, cities with low economic agglomeration, and medium-sized cities. This study provides crucial recommendations for the enlargement of the ICPP’s scale and coordinated progress of China’s urban resilience. Full article

A resilient innovation ecosystem is an important guarantee for enhancing industrial competitiveness. Knowledge spillover is the key driving force to enhance system resilience. Firstly, we use the MEREC-CoCoSo method to calculate the resilience level of the integrated circuit (IC) innovation ecosystem and analyze the evolution trajectory of the resilience before and after the emergence of the “stuck-neck” problem. Secondly, based on the panel data of 30 provinces (autonomous regions and municipalities directly under the central government) in China from 2011 to 2021, this paper analyzes the mechanism of the impact of intra-regional knowledge spillovers on the resilience of IC innovation ecosystems using the fixed-effect model and analyzes the spatial effect of inter-regional knowledge spillovers on the resilience of innovation ecosystems using the spatial Durbin model under the human capital matrix. Finally, we analyze the regulating role of contractual and relational governance mechanisms and try to open the “black box” of governance. The result shows the following: (1) The polarization of innovative ecosystem resilience of integrated circuits is gradually increasing, with strong spatial agglomeration, high–high agglomeration, low–low agglomeration, and low–high dispersion, and there is an obvious “matthew effect” and “siphon effect”. (2) Both intra- and inter-regional knowledge spillovers contribute significantly to the resilience of IC innovation ecosystems. The contractual governance mechanism can effectively enhance the impact of knowledge spillovers on the resilience of innovation ecosystems in the region, and the relational governance mechanism has a positive impact on the resilience of innovation ecosystems in neighboring regions. (3) Heterogeneity results show that knowledge spillovers within the Pan-PRD region have a significant positive impact on innovation ecosystem resilience. Knowledge spillovers between regions with low innovation capacity have a double effect on innovation ecosystem resilience, and knowledge spillovers between regions with “talent highlands” have a facilitating effect on innovation ecosystem resilience. Accordingly, policy recommendations are put forward to open up channels for innovation knowledge spillover, realize effective allocation of innovation resources, and optimize the system of innovation talents. Full article

Tourist resorts stand out as a focal point in the academic discourse on tourism, garnering significant attention within the tourism academic community. Assessing the efficiency of these resorts serves as a crucial tool for steering their management strategies, optimizing resource allocation, and contributing to regional economic development. This study centers on tourist resorts in Jiangsu Province, employing the data envelopment analysis method to gauge their tourism efficiency. The research delves into the impact of decomposing the efficiency of tourist resorts and investigates the spatiotemporal dynamic patterns of various efficiencies. Key findings indicate that: (1) The overall tourism efficiency of tourist resorts in Jiangsu Province registers as low, with an average of only 0.119, signaling ample room for improvement towards optimal levels. Among different efficiencies, scale efficiency exhibits the highest average value, followed by pure technical efficiency, with comprehensive efficiency ranking the lowest. (2) The comprehensive efficiency of tourist resorts in Jiangsu Province is influenced by the combined effects of various decomposition efficiencies. Notably, pure technical efficiency plays a more substantial role in overall efficiency compared to scale efficiency. (3) Spatial differentiation in efficiency values is evident among tourist resorts in Jiangsu Province. High-efficiency areas, particularly the southern Jiangsu region, display concentrated clusters, emphasizing a pronounced agglomeration of scale efficiency. In contrast, the central and northern regions of Jiangsu witness a rising number of tourist resorts demonstrating pure technical efficiency and high overall efficiency. (4) Over the research period, the focus of various efficiency factors in tourist resorts shifted towards the north, albeit without significant deviation. Simultaneously, the standard deviation ellipse area of various efficiencies exhibits a general trend of expansion. Drawing from these research outcomes, the article recommends practical measures such as enhancing the diversity of vacation resort services, establishing interactive mechanisms, and attracting management talent. These suggestions aim to provide actionable guidance for the development of tourist resorts, contributing to their sustained growth and success. Full article

Balanced regional development affects high-quality and sustainable development. Previous studies have shown that regional talent allocation, technology business incubators, industrial ecology, cross-regional cooperation, and balanced investment in higher education have positive effects on sustained regional development. Therefore, discussing more influencing factors that promote regionally balanced development is necessary. As far as China is concerned, with the spread of the migrant population to the central and western regions, it is of certain significance to explore the factors affecting the development of the western region from the perspective of migrant entrepreneurs’ flow. Urban public services, as an important way for the government to attract talent, directly affect the residence intentions of migrant entrepreneurs in the future. This paper uses the matching data of the 2017 China Migrants Dynamic Survey and 289 prefecture-level city data from the China City Statistical Yearbook to study the impact of urban public services in the western region on the residence intention of migrant entrepreneurs and further examines the heterogeneous impact of urban public services in the western region on the residence intention of migrant entrepreneurs. We find that urban public services in the western region significantly affect the residence intention of migrant entrepreneurs; that is, the higher the level of urban public services, the stronger the residence intention of migrant entrepreneurs. According to the heterogeneity analysis of household registration differences, generational differences, family structure differences, employment identity differences, and industry and flow range differences, this paper finds that public services have a positive impact on the residence intention of non-urban migrant entrepreneurs, the older generation of migrant entrepreneurs, entrepreneurs with small family structures, migrant entrepreneurs in low-tech industries, self-employed entrepreneurs, cross-province migration, and intra-province migrant entrepreneurs. Further analysis indicates that the level of education, culture, medical care, and transportation services in cities significantly enhances the permanent residence intentions of migrant entrepreneurs. The research conclusion not only provides reference and inspiration for China to achieve common prosperity through entrepreneurship and poverty reduction practices, but it can also, to some extent, alleviate population aggregation in large cities and promote the formation of a scientific and reasonable urbanization pattern. In addition, this paper explores the attractiveness of public services to migrant entrepreneurs in the western region of China from the perspective of entrepreneurs’ mobility and complements the relevant research on promoting regional balanced development. Full article

Regional socio-economics has multiple and far-reaching influences on the development of top-tier education, and the development of top-tier education also represents the strength and level of the regional socio-economics to a large extent. The present study investigates the spatial and temporal differences in the distribution pattern of doctoral disciplines of Chinese “double first-class” construction universities between 1996 and 2022 and the influence of regional socio-economics through two perspectives of economic regions and provinces. The study shows that there are differences in the development speed, scale, and level of top-tier education among different economic divisions and provinces, and the overall pattern of “fast in the east and slow in the west”, “more in the east and less in the west”, and “strong in the east and weak in the west” is unbalanced. At the same time, there is a high degree of concentration in different economic regions. The main reasons include the historical problem of the unbalanced allocation of China’s educational resources, as well as the uneven geographical distribution of relevant national policies, and the influence of regional socio-economic development differences, especially GDP and literacy rate. In terms of the influence mechanism, the development mindset of universities themselves, especially the strategy for talent cultivation and introduction, is the fundamental factor for the formation of the top-tier education development gap among different economic regions and provinces. Full article

In the context of the digital age, the digital economy, as a new economic model that the Chinese government is currently committed to developing, has played a positive role in driving consumption and creating employment opportunities. However, the differential development characteristics of the digital economy are becoming increasingly evident. The level of digital infrastructure and the application of digital facilities in China’s eastern regions are superior to those in the central and western regions. The increasing level of differential development in the digital economy will further accelerate the cross-regional mobility of labor. For the more developed eastern regions in China, in terms of the digital economy, the ability to empower employment is relatively high, which can create more job opportunities and attract a larger labor force seeking employment opportunities. In contrast, the central and western regions face slower development in the digital economy and relatively insufficient employment-empowering capacity, leading to labor force outflow. Proper cross-regional labor mobility can enhance the efficiency of labor resource allocation. However, excessive labor force mobility can lead to imbalanced labor resource allocation, causing job shortages and reduced employment quality in regions with an excess of labor force, while labor loss regions face labor shortages and talent drain, resulting in a loss of economic vitality in those regions. Therefore, clarifying and addressing the various negative impacts brought about by the differential development of the digital economy are crucial for improving the overall employment quality in the digital economy era. However, there is currently limited research focused on the influence of differential development levels of the digital economy on employment quality. This study delves into the impact of the differential development levels of the digital economy on employment quality and analyzes the underlying mechanisms. Based on panel data from 31 provinces and cities in mainland China from 2011 to 2020, this study uses the entropy method to calculate both the employment quality index and the digital economy index. Building upon the digital economy index, the Gini coefficient of the digital economy development level in various regions in China is calculated using the Gini coefficient formula. Subsequently, a two-way fixed-effects model empirically analyzes the impact of China’s differential development levels in the digital economy on employment quality. The research finds that the improvement in China’s differential development level in the digital economy significantly reduces employment quality. After re-calculating the Gini coefficient and the employment quality index using principal component analysis, it is found that the Gini coefficient of the digital economy still has a significantly negative impact on the employment quality index. After conducting 2SLS regression using instrumental variables, it is confirmed that there is still a significant negative correlation between the Gini coefficient of the digital economy and the employment quality index. According to the regression results, for every 1% increase in the Gini coefficient of the digital economy, the employment quality index will decrease by 0.111% to 0.361%. Through a regression analysis of the mechanism of action, it is found that the industrial structure plays an intermediary role in the impact of the differential development levels of the digital economy on employment quality. The improvement in the differential development levels of the digital economy is unfavorable for the transformation and upgrading of the industrial structure in the central and western regions, as well as the rational development of China’s overall industrial structure, thereby affecting the improvement of employment quality. Based on the above empirical results, the following policy recommendations are proposed: 1. The Chinese government should increase fiscal support for digital infrastructure construction in the central and western regions, continuously narrowing the gap in digital economy development levels between regions. 2. Regional governments in China should actively guide the healthy upgrading of industrial structures based on the actual conditions of each region. 3. In the digital economy era, the government should introduce relevant labor protection and social security policies based on the characteristics of emerging professions to further improve the employment quality of workers in the digital economy era. Full article

This research delves into the spatial and temporal evolution characteristics of rural areas, focusing on understanding the phenomenon of rural hollowing in Fujian Province and other coastal regions. By analyzing data from the Fujian Province Statistical Yearbook and the Social Development and National Economy Statistical Bulletin (2010–2020), employing methodologies such as Pearson correlation and the natural interruption point method in ArcGIS, this study seeks to provide both theoretical and practical groundwork for rural revitalization efforts. The findings of this study yield significant insights. Firstly, a pronounced geographical differentiation emerges in the context of rural hollowing in Fujian province, characterized by a distinctive “high inland and low coastal” spatial pattern. Secondly, despite its coastal location, Fujian Province continues to confront substantial rural hollowing challenges. Although the overall pace of rural hollowing development has been moderate, the persistence of population and economic hollowing is noteworthy. Consequently, the issues of depopulation and economic decline in rural areas remain pressing concerns for Fujian Province. Lastly, the investigation identifies key driving forces behind the phenomenon of rural hollowing, encompassing factors such as arable land area, rural population settlement rate, economic development level, and farmers’ net income. These drivers significantly influence the dynamics of rural hollowing. Drawing from the research findings, this study proposes several strategic recommendations to counteract rural hollowing in coastal regions. These include tailoring management approaches to address geographical disparities, enhancing resource allocation and land utilization practices, orchestrating shifts in industrial structure to foster integrated urban–rural development, and emphasizing the revitalization of talent to sustain the progress of rural areas. Full article

The digital economy system is an essential driving force that promotes the development of the sports industry, aligning with Sustainable Development Goals (SDGs), including Goal 9 (Industry, Innovation, and Infrastructure), Goal 8 (Decent Work and Economic Growth), and Goal 11 (Sustainable Cities and Communities). This paper aims to provide a comprehensive understanding of the roles of the digital economy in enhancing the sustainable high-quality development of the sports industry in China. This study utilizes panel data from 17 provinces in China, spanning the period from 2014 to 2020. The level of high-quality development in both China’s digital economy and sports industry is calculated using the entropy method. To examine the empirical relationship between the digital economy and the sports industry’s high-quality development, this study employs benchmark regression, mediation models, and spatial analysis and conducts robustness tests. The findings of this study indicate that the digital economy not only directly and significantly contributes to the development of the sports industry but also drives it indirectly through the transformative effects of technological innovation. This study reveals that the impacts of the digital economy on the sports industry’s high-quality development exhibit nonlinear characteristics, with an initial period of rapid growth followed by a diminishing growth rate and spatial spillover effects. By recognizing this dynamic relationship, stakeholders could better strategize and allocate resources in their efforts to achieve SDGs. To advance the development of the sports industry and contribute to the SDGs, it is crucial to accelerate the construction of digital infrastructure in China, nurture a diverse pool of talent in sports science and technology, and develop region-specific strategies that consider sustainability and inclusivity. Full article