Innovative City Research Articles

Assessing the economic impact of innovative cities

ABSTRACT This study examines the effects of South Korea’s Innovative City (IC) policy, which aims to redistribute public institutions to local cities to alleviate urban congestion and mitigate regional disparities. Utilizing the synthetic control method, this study evaluates the policy’s influence on local productivity and investigates its spillover effects. The findings reveal a marked increase in productivity within rural cities, highlighting the policy’s efficacy in less urbanized areas. However, the outcomes vary across different locales, with some urban ICs experiencing productivity enhancements, while rural ICs near expanding urban areas do not. Additionally, the study observes limited spillover effects in cities near ICs, indicating that indirect benefits are not uniformly distributed.

The impact and spatial spillover effect of traditional culture on urban green innovation: Empirical evidence from China

The issues of resource scarcity and environmental pollution has become huge challenges that all of humanity faces together. To resolve the issue, promoting urban green innovation capacity is important. This study uses 189 prefecture-level cities and above in China from 2011 to 2020 as samples, and empirically test the impact and spatial spillover effect of traditional culture on urban green innovation. This study finds that: (1) Traditional culture can improve the local green innovation and positively impact the green innovation in neighboring cities by radiation effect, and the conclusion remains valid after robustness tests; (2) Talent flow and data flow negatively moderate the positive impact of traditional culture on green innovation in local cities. In addition, from a dynamic perspective, traditional culture has a negative impact on green innovation in neighboring cities because of the siphon effect; (3) The spatial spillover effect of traditional culture on urban green innovation shows distinct heterogeneity due to the different regions and whether it is a low-carbon pilot city. This study verifies the important value of Chinese traditional culture in urban sustainable development, which is of great significance for the protection and inheritance of traditional culture and the improvement of urban green innovation.

Spatial Distribution and Location Determinants of High-Tech Firms in Shenzhen, a Chinese National Innovative City

The development of high-tech firms is a vital driver for the economic growth of a city but their distribution and location determinants at the intra-urban level are still unclear. We aim to deepen the understanding of location determinants of high-tech firms, so we construct an analytical framework and use GeoDetector to investigate high-tech firms in Shenzhen based on firms and POI open data in 2023. We find that high-tech firms are distributed in a spatial pattern of ‘one core and six clusters’ with high density in the western area despite industrial heterogeneity. Agglomeration economies and amenity-based factors play a significant role in the distribution of high-tech firms. Institutional factors and classical locational factors have more significant effects on the location of high-tech service and manufacturing firms, respectively. This study contributes to the literature on study spatial units, the influence of amenities, and industrial specificities. These findings highlight public policies on industrial park planning, transportation systems, and public services.

The Impact of Innovative and Low-Carbon Pilot Cities on Green Innovation

Green innovation has emerged as a crucial strategy for reconciling economic development with environmental protection. While numerous policies target various aspects of innovation or green development individually, fewer policies address green innovation specifically. This raises the question of whether individual policies alone are sufficient to advance green innovation or whether a combination of policies is required. To address this, we analyze data from Chinese cities at the prefectural level or higher, focusing on the intersecting policies of innovative cities and low-carbon pilot cities as key explanatory variables. Using a longitudinal difference-in-differences model, our study examines the effects of these concurrent policies on green innovation and investigates the mechanisms underlying their effectiveness. Our findings reveal that the dual-pilot policy significantly promotes green innovation through four key pathways: regional economy, financial level, employment conditions, and education level. After confirming the efficacy of each policy individually, we rule out the impact of single or non-overlapping policies. This confirms that the observed enhancement in green innovation results from the combined effect of the two policies rather than from either policy in isolation. The study concludes with recommendations for further enhancing green innovation, based on the empirical evidence obtained.

Does innovative city pilot policy improve carbon reduction? Quasi-experimental evidence from China

A new direction for China in exploring sustainable development is the Innovative City Pilot Policy (ICPP), which provides policy guidance for accelerating carbon peaking and carbon neutrality by reducing carbon emissions. With data from 282 cities spanning 2006–2018, this paper examines ICPP's effect on carbon intensity (CI) through a multi-period difference-in-differences (DID) model, as well as exploring the mediating effect, moderating effect, heterogeneity, and spatial spillover effects. The results show that ICPP reduces CI significantly by enhancing technology innovation (TI), and when industrial structure (IS) is added, the effect of ICPP is expanded. The ICPP gains additional advantages in reducing CI by optimizing the efficiency of resource allocation (ERA). Compared with the concentration of human capital (HCL), the amount of scientific research institutes (SRI) has a slightly greater moderating effect. ICPP impacts considering location, size, and hierarchy heterogeneity. ICPP has a greater impact on mitigating CI in the western, larger size, and provincial capital cities. There are positive spillover effects of the ICPP on neighboring CI. To support the idea that ICPP can effectively contribute to CI reduction, this paper provides empirical evidence and theoretical guidelines.

The Study on The Direction of Local Government System and Direction of Innovation City in Gyeongnam and Busan

The Study on The Direction of Local Government System and Direction of Innovation City in Gyeongnam and Busan

How consumers’ digital engagement affects regional innovation capacity in China?

Digital technology has altered the geographic distribution of knowledge in regional innovation. Existing studies emphasize the role of firms in the digitalization and innovation nexus, whereas there is little evidence on the effect of consumers' digital engagement on innovation capacity. Using data of 211 cities from 2015 to 2018 in China, this study investigates whether and how consumers' digital engagement affects regional innovation capacity. Our empirical results show that cities with greater knowledge diffusion embedded in consumer digital engagement benefit more from increased regional innovation capacity. Further analyses show that cities with higher digital consumer participation have higher innovation output, more entrepreneurial activities, and increased financial access, boosting city-level knowledge generation and commercialization. Our findings also reveal that consumers’ digital engagement is more beneficial in relatively developing regions, including western, peripheral, and less innovative cities, thereby alleviating the concentration of innovation to some extent.

The construction of innovative blocks and innovative cities under high-quality development in the new era

Under the new pattern of high-quality development stage, this paper closely combines the national innovation-driven development strategy and the new trend of international innovation center city construction, aiming to promote the construction and development of China's innovative blocks and innovative cities. Through in-depth comparison and analysis of the practice of innovative urban construction at home and abroad, combined with the shortcomings and shortcomings of the current innovative city construction, this paper proposes a synergistic development of urban renewal and innovative blocks. This framework aims to realize the goal of high-quality development of the city, to nurture more science and technology enterprises and knowledge-based talents, and to promote the virtuous cycle of the innovation system. At the same time, this paper emphasizes the synergistic strengthening of both "hard facilities" and "soft environment" to optimize the innovation ecosystem, build an open innovation system, and strive to create a global innovation highland. This study not only reflects the innovative concepts and decision-making wisdom in the field of management, but also provides new ideas and strategies for urban innovation and high-quality development.

How Sport Innovations Can Shape Sustainable Cities: An Interdisciplinary Approach

L Leveraging the potential of sport can play a significant role in shaping cities of tomorrow, generate environmental and social change. The integration of sport into city planning can provide multiple benefits, such as promoting physical activity, health, well-being, and enhancing social cohesion. However to date, there is a lack of research on the potential of sport innovations to enhance the sustainable development of cities. This study aims to explore the role of sport innovations in sustainable cities through systematic literature review, utilizing interdisciplinary approach that combines sport and urban management disciplines to understand how sport innovations affects the sustainable living. The findings of this study identify sustainable references in sport innovations literature, including best practices for integrating sport into urban planning and development, and thus verifying their contribution to the sustainable development of cities in areas of social inclusion, community participation, collaboration and networking, organizational strategy.

Can the new energy demonstration city policy promote corporate green innovation capability?

New energy demonstration city (NEDC) projects are significantly driving changes in energy structures and sustainable economic development. Corporate green technology innovation is key to achieving an alternative to our current energy use. To explore whether the NEDC project can help to improve companies' green innovation capabilities, this paper presents the dual differential model (DID) to conduct empirical research on panel data in 285 prefecture-level and above cities in China from 2008 to 2020. The DID model is arguably the most adequate for addressing the issue of endogenous problems. The research shows that the NEDC project has improved corporate green innovation capability; the findings of mechanism analysis show that NEDC projects have incited an upgrading of the local urban industrial structure and thereby improved corporate green innovation. The policy effect of NEDC projects obviously shows “insufficient momentum”; the heterogeneity test found that the promotion effect of NEDC projects for corporate green innovation in eastern cities, major cities, large-scale companies and energy-dependent industries is more significant. Based on the conclusions and heterogeneous characteristics for promoting corporate green innovation capability, the government should roll out further NEDC projects in a systematic way and more closely monitor the quality of such new energy demonstration cities.

Does the innovative city pilot policy improve university–industry collaborations in China?

Does the innovative city pilot policy improve university–industry collaborations in China?

Towards low-carbon development through innovation: Empirical evidence from China

Innovation is crucial for countries to achieve their carbon peak and carbon neutrality goals. To explore how and to what extent innovation contributes to low-carbon development, this study utilizes data from 272 Chinese cities, applying both staggered difference-in-differences and spatial econometric approaches to comprehensively assess the direct and spatial spillover effects of China's innovative city pilot policy on urban low-carbon development. The findings are as follows: First, the innovative city pilot policy has reduced urban carbon intensity by 4.62 % and increased carbon total factor productivity by 3.03 %, with the effect being more significant in larger cities. Second, mechanism analysis indicates that the innovative city pilot policy primarily promotes urban low-carbon development through innovation financing and talent attraction, rather than optimizing industrial structures Third, spatial analysis reveals that the innovative city pilot policy has a low-carbon spillover effect, indicating it can promote low-carbon development in neighboring cities. Finally, this paper proposes policy recommendations for combining innovative city pilot policies with climate policies, focusing on the underlying mechanisms, and exploring cross-regional linkages.

Does green technology innovation promote green economic growth? –Examining regional heterogeneity between resource-based and non-resource-based cities

Using the radial Direction Distance Function (DDF) Golbal-Malmquist-luenberger (GML) index to calculate the growth efficiency of all-factor green economy, 262 resource-based and non-resource-based cities in China from 2003 to 2018 were taken as samples. The effects of green technology innovation on the growth efficiency of green economy and its heterogeneity are discussed through the fixed-effect model, and the internal influencing mechanism between resource dependence, green technology innovation and green economy growth in resource-based areas is further tested. The results show that: under the whole sample, green technology innovation has an “inverted U-shaped” nonlinear effect on the efficiency of green economy. Green technology innovation promotes the growth of green economy, However, with the continuous improvement of the level of green technology innovation, its marginal effect on the efficiency of green economy growth decreases. In the heterogeneity analysis of resource-based cities and non-resource-based cities, it is found that the impact of green technology innovation on green economic growth in resource-based cities is greater than that in non-resource-based cities. In the heterogeneity analysis of different resource-based cities, it is found that green technology innovation of growing and mature resource-based cities will significantly promote the growth of green economy. The mechanism test shows that the dependence of resource-based cities on natural resources will have a “crowding out effect” on human capital investment and science and technology investment.

Impact of extreme high temperatures on pollution emissions of enterprise: Evidence from China

Frequently occurring extreme weather events can pose a challenge to people and production systems. Coping with extreme high temperatures requires promoting the synergy between pollution reduction and carbon reduction. Accordingly, this study examines the causal relationship between extreme high temperatures and corporate pollution emissions by using the panel data of a Chinese sample from 2000 to 2014. This study uses fixed-effects models for the analysis. Baseline results show that a unit increase in the standardized temperature will result in a 4.6% reduction in corporate pollutant emissions. The heterogeneous analysis shows that extreme high temperatures will have an obvious effect on enterprises with low financing constraints and high policy and public constraints as well as on enterprises in cities with a high level of economic development, in innovative cities, and in the eastern region. We also explore the mechanism through which extreme high temperatures reduce pollutant emissions from the two dimensions of external environmental pressure and internal environmental governance. Extreme high temperatures will prompt enterprises to improve their energy efficiency, engage in innovative production processes, adopt source-and-end governance measures, and curb their pollutant emissions while strengthening government environmental supervision. This study provides new ideas for enterprise pollution reduction and serves as an inspiration to the government in formulating environmental policies.

Does innovative city construction promote tourist destination competitiveness? An analysis of a quasi-natural experiment

This article employs the multi-period difference-in-differences model to investigate the causal impact of innovative city construction on tourist destination competitiveness and its various dimensions based on panel data for 272 Chinese prefecture-level cities from 2005 to 2019. The findings indicate that innovative city construction significantly and positively impacts tourist destination competitiveness, with this effect growing over time. In particular, the impact on tourism industrial competitiveness is negative, whereas the effects on the competitiveness of tourism resources, ecological environment, and socio-economic support are positive and significant. The impact of innovative city construction on tourist destination competitiveness varies significantly across regions and administrative levels, with no variation found between the central and western regions. The possible mediating mechanisms include industrial structure, science and technology innovation, and environmental regulation. This article significantly contributes to the theoretical expansion of tourist destination competitiveness and its change mechanisms under innovative city construction.

Mobility of technicians and green innovation efficiency improvement: empirical analysis and policy implications in Chinese cities

ABSTRACT This study aims to explore the relationship between technicians’ mobility and green innovation efficiency in Chinese cities and proposes policy recommendations based on these findings. This study analyses data from 275 Chinese cities from 2011 to 2020 using the Spatial Durbin Model to examine the impact of technical personnel mobility on green innovation efficiency in local and adjacent areas and its transmission mechanism. The results indicate that technical personnel mobility significantly enhances green innovation efficiency in both local and adjacent areas, with a more pronounced effect in innovative cities and areas preferred by technical personnel. Additionally, the synergistic effect of government green innovation attention and the transmission effect of industrial structure upgrades further strengthen this positive impact. Based on these findings, it is recommended that enterprises, universities, and government agencies collaboratively enhance the mobility of technical personnel and cross-sector innovation. It is also advised to construct regional mechanisms for green innovation cooperation, and further boost green innovation efficiency by optimizing industrial configurations and intensifying awareness of green innovation. This study provides valuable references for attracting regional talent and innovation-driven high-quality development.

Do talent housing policies foster regional innovation? An analysis based on labor force heterogeneity

Human capital plays a crucial role in regional innovation and economic progress, which has increasingly been highlighted in research. However, rising housing costs in cities can push talent away, causing brain drain and hindering local innovation. Within this context, China has seen widespread adoption of talent housing policies (THPs) aimed at providing housing assistance for the high-skilled labor force, although the ramifications of these initiatives remain largely underexplored. Based on labor force heterogeneity, this study investigates the effects of THPs targeted at high-skilled labor on the mobility of both high- and low-skilled workers and their consequent impact on regional innovation. Our findings reveal that while THPs bolster the local pool of highly skilled human capital and attract more low-skilled workforce, enhancing regional innovation through labor–skill complementarities, they concurrently elevate housing costs for low-skilled laborers, reducing their long-term settlement intensions and potentially hindering a city's innovation trajectory.

Can China's carbon generalized system of preferences reduce urban residents' carbon emissions? Evidence from a quasi-natural experiment

The carbon generalized system of preferences (CGSP) is an innovative incentive mechanism implemented by the Chinese government, which has also become an important part of carbon emission reduction at the living end, and it is of great significance to study whether the Pilot Policy can reduce the carbon emissions of residents. This study firstly accounts for the total carbon emissions and per capita carbon emissions of the residents of 284 cities in China, and on this basis, adopts the SCM method to quantitatively study and analyze the overall and local implementation effects of CGSP in China by taking the first batch of CGSP pilots in China as an example, and further applies the mediation effect model to test the pathways of the role of CGSP. The main findings of the study are as follows: (1) During the period of 2010–2020, the total carbon emissions from urban residents' living in China showed a yearly growth trend, from 36,623.98 ×10−2Mt in 2010–85,241.20 ×10−2Mt in 2020, an increase of 8.83%. Total carbon emissions present a structural difference of "electricity consumption > central heating > private transport > gas (oil, natural gas) consumption". (2) Overall, the implementation of the CGSP had a robust positive impact on the overall carbon emission reduction in the pilot cities, with an average annual emission reduction effect value of 36.53 ×10−2Mt. Locally, the annual net policy effect values of Dongguan, Zhongshan, Heyuan, and Guangzhou are 6169.79 ×10−2, 26,600.17 ×10−2, 17,081.34 ×10−2 and 9393.36 ×10−2Mt respectively. (3) CGSP has a good carbon emission reduction effect by suppressing the impact on residents' carbon emissions through enhancing the city's innovation capacity and promoting electricity saving and consumption reduction, while the mediating effect played by the promotion of green and low-carbon travel in the pilot policy is not significant. Finally, based on the research findings, relevant suggestions are targeted.

Between risk perceptions and adaptation policies: centering climate justice and social innovation in heat vulnerable cities

ABSTRACT This study leverages the roles of climate justice and social innovation in the perceptions of climate risk and climate adaptation policies within the local heat-vulnerable areas of seven Korean metropolitan cities. Using survey and document-based analyses, this work examines residents’ perceptions of climate risks and evaluates local climate adaptation plans in the context of climate adaptation policies. Results demonstrate that economic and social fairness aspects and collaborative learning activities played positive roles in enhancing adaptation policies. Further, higher participation as an aspect of social innovation led to heightened climate risk perceptions. Findings imply that social innovation and climate justice features can contribute to triggering risk perceptions as an initial stage for enabling subsequent steps in support of climate adaptation policies.

How Do Institutional and Technological Innovations Influence the Smart City Governance? Focused on Stakeholder Satisfaction and Crime Rate

Effective institutional and technological development are key to governance in smart cities. This study investigates the fundamental complexities of institutional and technological innovations in smart cities. A city’s innovation capabilities depend significantly on its technology and implementation capacity. This study suggests that institutional and technological innovation serve a role that moderates the relationships between smart city governance, stakeholder satisfaction, and crime rate. Multiple regression models were developed by surveying 496 Pakistani citizens with a questionnaire. Using stakeholders and innovation theories, analyzing the relationships between smart governance, stakeholder satisfaction, and city crime rates reveals a moderating role of institutional and technological innovation. The findings showed that institutional and technological innovations have strengthened the stakeholder satisfaction level while weakening the crime rate in a smart city.