Xin Zhao
57210285679
Publications - 20
Valuation of ecosystem services from forests in Chinese rural areas based on forest resource investment
Publication Name: Humanities and Social Sciences Communications
Publication Date: 2025-12-01
Volume: 12
Issue: 1
Page Range: Unknown
Description:
Forest resources provide rural areas with abundant products and ecosystem services. However, due to difficulties and shortcomings in assessing the ecosystem service value of these resources in rural areas, investors or funding institutions often lack a comprehensive understanding of their true value. Consequently, challenges such as difficulties in securing rural forestry guarantees, limited loan amounts, and inadequate compensation standards have emerged, resulting in severely restricted investments in rural forest resources. This study aims to address these issues by establishing a comprehensive valuation system for the ecosystem services provided by rural forest resources, thereby enabling a more accurate assessment of their value. This study focuses on Muyun She Nationality Township in Fuan City, China, and valuates the ecosystem service value of the forest resources in this locality. The findings reveal that the annual economic value of ecosystem services provided by forest resources in Muyun She Nationality Township amounts to 397,899,293.49 yuan. Direct value constitutes over 63% of the total, with forest by-products contributing the largest share at 32%, followed by forest-related rural tourism at 31%. This underscores the significant contribution of agricultural products and tourism from rural forest resources to the local economy. Moreover, the study highlights the crucial role of rural forest resources in providing agricultural by-products, promoting rural tourism, enhancing rural economic development, and facilitating rural revitalization efforts. In light of these findings, this paper advocates for private-sector investment, expanding financing channels, and developing tourism projects to diversify investment channels for rural forest resources and increase investment amounts.
Open Access: Yes
Unveiling the mechanisms and implications: how artificial intelligence drives green growth in China’s Huaihe River Ecological Economic Belt under the carbon neutrality agenda
Publication Name: Carbon Footprints
Publication Date: 2025-09-01
Volume: 4
Issue: 3
Page Range: Unknown
Description:
Amidst the backdrop of global climate warming and China’s proactive chase of its carbon peak and carbon neutrality goals, the Huaihe River Basin (HRB), a region of significant strategic importance in the heartland and eastern expanse of the nation is confronted with formidable challenges, including high energy consumption and severe environmental pollution. Despite its substantial contributions to economic development, the traditional development model of the HRB conflicts with the principles of green development, necessitating the urgent exploration of innovative pathways to sustainable progress. Through a comprehensive review of scholarly literature and rigorous theoretical analysis, this study demonstrates that artificial intelligence (AI) can significantly drive green development by enhancing eco-innovation and optimizing industrial structures. Using a panel dataset from 27 cities in the Huaihe River Ecological Economic Belt (HEB) from 2010 to 2022, this study employs a bidirectional fixed-effects model to analyze the repercussions of AI on green development. The baseline regression results show that for every one-unit increase in AI development level (AIDL), HEB’s urban green development level significantly increases by 0.087. This positive influence is further confirmed through robustness tests. We found that AI can indirectly influence the mechanism and pathway of green development through intermediate variables. AI drives green development indirectly through two pathways: green technology innovation and the rationalization of the industrial structure, with a total explanatory power of 56.7% (R2 = 0.812). Based on these findings, we propose vigorously promoting the green effects of AI, refining industrial structures, and leveraging mediating effects to foster sustainable regional development. These insights offer novel perspectives for the green development of the HRB but also provide valuable references for the green transformation of other areas with similar challenges.
Open Access: Yes
DOI: 10.20517/cf.2025.9
Unlocking energy efficiency: Exploring the dynamic evolution and regional correlations in the Huaihe Eco-economic Belt
Publication Name: Gondwana Research
Publication Date: 2025-09-01
Volume: 145
Issue: Unknown
Page Range: 57-70
Description:
Energy is the cornerstone of today's social development, and it is of great significance to comprehensively and objectively reflect the level of energy efficiency (EE) and regional differences. Taking the Huaihe Eco-economic Belt (HEB) as an example, the EE of 28 cities in the HEB from 2008 to 2021 was measured and analyzed by using the super-efficiency SBM model with non-expected outputs; Using Dagum Gini coefficient to explore regional differences in EE levels and their sources; It also explores the dynamic evolutionary pattern and spatial correlation of EE levels using kernel density estimation, Markov transfer probability matrix, and Moran index. The results are as follows: (1) The value of EE in the HEB shows a trend of change that first declines and then rises, with relatively small changes; (2) Regional differences in EE show a fluctuating and increasing trend, with hypervariable density being the most important source of overall regional differences, which are much greater within regions than between regions; (3) The development of EE has been polarized, and the hierarchy of EE levels is relatively stable, with the phenomenon of “club convergence”; (4) There is spatial agglomeration in the level of EE development, with cities in the midwest parts of the country mostly falling in the high-value agglomeration area of the first quadrant, and cities in the northern part of the country mostly falling in the low-value agglomeration area of the third quadrant, with a few cities experiencing spatial and temporal jumps. This paper will be valuable to the government in identifying energy-inefficient cities, formulating targeted policy measures, and promoting the synergistic sustainable development of HEB.
Open Access: Yes
Financial Geographic Accessibility and Corporate Innovation: An Analysis of Spatial Synergy Based on Land Use and Environmental Sustainability
Publication Name: Land Degradation and Development
Publication Date: 2025-08-15
Volume: 36
Issue: 13
Page Range: 4562-4587
Description:
In the face of land degradation and environmental constraints, it is imperative to have an adaptive financial geography structure and a land resource utilization system that supports corporate innovation. This study constructs a refined financial geographic accessibility measurement index. By integrating multi-source spatio-temporal big data, the study breaks through the static limitation of traditional statistical data. It accurately analyzes the spatial synergistic effect between the spatial distribution of financial institutions and land use planning. Land use data, such as spatial development rate and spatial interest points, provide high-precision spatial evidence for revealing the mechanism of financial geographic accessibility affecting corporate innovation. Further, from the environmental sustainability perspective, this paper studies the moderating effect of environmental constraints on corporate innovation. Financial geographic accessibility can improve corporate innovation by reducing financing costs, accelerating knowledge spillover, realizing intermediate input sharing, improving labor matching, and giving play to location advantages. Notably, this facilitation effect performs better in cities with high energy consumption and carbon emissions. Heterogeneity analysis shows that proximity to the city center, low industrial maturity, government subsidies, soes, and large-scale corporations significantly amplify the innovation benefits of financial geographic accessibility. This study combines remote sensing data with spatial big data to provide a new methodological framework for analyzing land use and degradation.
Open Access: Yes
DOI: 10.1002/ldr.5653
The role of artificial intelligence in enhancing corporate environmental information disclosure: Implications for energy transition and sustainable development
Publication Name: Energy Economics
Publication Date: 2025-08-01
Volume: 148
Issue: Unknown
Page Range: Unknown
Description:
Global climate and environmental issues pose severe challenges to the sustainable development of human society. As major contributors to environmental pollution and carbon emissions, the quality of enterprises' environmental data has gained significant attention in academic and industrial circles. This study analyzes information from Chinese A-share companies spanning 2012 to 2023 to investigate the pathways through which artificial intelligence (AI) technology influences corporate environmental information disclosure (EID). The results indicate that AI significantly enhances the quality of corporate EID by optimising internal control levels and strengthening external supervision mechanisms. These conclusions have been validated through robustness and endogeneity tests. The heterogeneity analysis further reveals that the promoting effect of AI is more significant in large corporates, corporates in central cities, mature corporates, corporates audited by the Big Four international accounting firms, high-tech corporates, and heavily polluting industries. The study innovatively constructs a dual-path theoretical framework of ‘internal management optimisation–external supervision strengthening’ and integrates macro urban AI indicators with micro enterprise data, contributing new empirical support for the digital transformation and green governance of developing countries. Based on these findings, policymakers should promote the innovative application of AI technology in corporate environmental governance, improving internal control norms, optimising the external supervision system, and implementing a classified guidance strategy for different enterprise attributes, so as to help enterprises achieve low-carbon transformation and sustainable development.
Open Access: Yes
Exploring the impact of China's low carbon energy technology trade on alleviating energy poverty in Belt and Road Initiative countries
Publication Name: Energy
Publication Date: 2025-03-01
Volume: 318
Issue: Unknown
Page Range: Unknown
Description:
The objective of this study is to analyze how low-carbon technology imports such as wind turbines, solar panels, carbon capture equipment, and biomass systems from China affect Belt and Road Initiative (BRI) countries’ energy poverty. Additionally, we analyze the role of financial development, deliberative democracy, economic complexity, human development, and telecommunications infrastructure on energy poverty in BRI countries. We use 69 countries from Belt and Road initiative countries and a sample period from 2000 to 2019. We classify these countries according to the IMF classification of advanced, emerging and low-income developing countries. We employ the instrumental variable generalized method of moments (IV-GMM) approach as the main technique to take care of the endogeneity concerns inherent in the model, as well as a robust quantile-based technique called the method of moments quantile regression estimator (MMQREG). Our results reveal that low-carbon technology trade from China does not significantly alleviate energy poverty in the BRI countries. Financial development increases energy poverty while deliberative democracy decreases it. Economic complexity, as well as human development, negatively affects energy poverty, while telecommunications infrastructure does not affect energy poverty significantly. Based on the results, policy implications are provided.
Open Access: Yes
Harnessing artificial intelligence for urban economic resilience
Publication Name: Applied Economics
Publication Date: 2025-01-01
Volume: Unknown
Issue: Unknown
Page Range: Unknown
Description:
Amid escalating global economic uncertainty, a comprehensive analysis of the effect of artificial intelligence (AI) development on urban economic resilience (UER) is crucial for promoting sustainable global economic development. This study utilizes panel data from 284 Chinese cities from 2010 to 2022 to empirically test the influence of urban AI on UER and its role mechanism by using the fixed-effects, mediating-effects, and moderating-effects models. The study reveals that AI significantly enhances UER, with an improvement of 7.44%. Harnessing AI for UER remains valid even after conducting the robustness and endogeneity tests. Mechanism analysis discovered that AI enhances UER by increasing urban innovation ability. Industrial structure and wage structure positively moderate the effect of AI on UER. Heterogeneity analysis demonstrates that the improvement effect of AI level on UER is more evident in large (7.49% increase), southern (5.11% increase), non-resource-based (10.84% increase), and high-economic cities (11.17% increase). This paper discusses the path selection from an AI perspective to enhance UER, which provides a useful reference for cities seeking to navigate the new wave of technological revolution.
Open Access: Yes
The Role of Economic Growth and FDI in Ecological Footprint and the Load Capacity Factor: Evidence From Türkiye
Publication Name: Acta Montanistica Slovaca
Publication Date: 2025-01-01
Volume: 30
Issue: 1
Page Range: 193-208
Description:
Proposed sustainable economic development and growth have been among the leading and desired objectives of policymakers. Thus, various investigations have been conducted, considering different social, political, and economic factors to lessen environmental degradation and improve biocapacity. Within this context, Türkiye is one of the most essential cases because of its location and role in the global supply chain, emerging countries' members, and the severity of the environmental situation. Thus, the study employs the Fourier ARDL, FADL co-integration tests, FMOLS estimations with Fourier Terms, and Fourier Toda-Yamamoto analysis to investigate the role of economic growth and FDI in ecological footprint and the load capacity factor along with considering some control variables over the period between 1982 to 2021. As a result of the investigations, it is concluded that the economic growth, the FDI, and the remaining variables do not promote impact the load capacity factor. However, the considered variables pressure the environment when the ecological footprint is regarded as the environmental indicator, and the pollution haven hypothesis holds for Türkiye. To reverse and mitigate the harmful effects of economic activities, efforts, and policies should be made toward environmentally friendly forms of production, trade, FDI, and renewable energy sources.
Open Access: Yes
Enhancing cognitive metrics in supply chain management through information and knowledge exchange
Publication Name: International Journal of Logistics Management
Publication Date: 2025-01-01
Volume: 36
Issue: 7
Page Range: 200-221
Description:
Purpose: This research primarily aims to investigate the impact of organizational implants on knowledge transmission, process innovation and security integration in intricate supply chains. Design/methodology/approach: The research utilizes a mixed-method approach, employing a stratified sampling strategy to get a representative sample of 1,284 enterprises from various sectors within the logistics industry within the European Union. Data were gathered by computer-assisted web interviewing (CAWI) and analysed utilizing structural equation modelling (SEM) to evaluate hypotheses concerning cognitive congruence, process diffusion and security integration. Findings: The results indicate that while task interdependence clearly improves face-to-face communication, excessive cognitive congruence can hinder process innovation, resulting in what the article terms “cognitive rigidity.” The study suggests that achieving a balance between cognitive congruence and cognitive flexibility is crucial to improving the safety diffusion and integration process. Originality/value: This study presents an innovative conceptual framework that synthesizes cognitive congruence, cognitive flexibility and cognitive rigidity to examine their combined influence on knowledge transfer and process dissemination throughout supply chains. It presents cognitive stiffness as a boundary condition, contesting the conventional belief that more cognitive congruence is invariably advantageous.
Open Access: Yes
Does urban shrinkage impact energy efficiency?: Evidence from Chinese counties
Publication Name: Renewable Energy
Publication Date: 2025-01-01
Volume: 238
Issue: Unknown
Page Range: Unknown
Description:
Some cities in China are facing challenges due to population loss while also attempting to address energy conservation and emissions reduction. Although urban shrinkage can relieve pressure from energy consumption demands, such as water, electricity and gas, does it improve urban energy efficiency? This study attempts to answer this question. Based on Point of Interest (POI) big data and Global Human Settlement Layer (GHSL) raster data, this study identifies urban shrinkage from the coupling perspective of administrative and economic boundaries. It also examines the impact of urban shrinkage on energy efficiency. The results suggest that Chinese counties’ overall energy efficiency is experiencing a four-stage “decline-rise-decline-rise” trend, and the urban shrinkage of Chinese counties exists in three major areas: the Northeast, the Southwest, and the Centre. Compared to non-shrinking cities, urban shrinkage has a significant negative impact on improving energy efficiency. This impact exhibits significant heterogeneity. Specifically, compared with mature resource cities and cities in Western China, regenerative cities, non-resource cities and cities in Central China have less impact on energy efficiency. In addition, urban shrinkage may impede energy efficiency improvement by hindering industrial structure transformation and upgrading, energy-saving technology innovation, and financial development. Clarifying the relationship between urban shrinkage and energy efficiency is helpful for shrinking cities to change their development strategies, which is critical for sustainable development.
Open Access: Yes
Ecological Impacts of Cultivated Land Conversion and Urban Eco-Resilience in the COP29 Era
Publication Name: Land Degradation and Development
Publication Date: 2025-01-01
Volume: Unknown
Issue: Unknown
Page Range: Unknown
Description:
In the COP29 era, food security is crucial. The urban agglomeration in the middle reaches of the Yangtze River (UAMRYR) in China must ensure both food and ecological security. Analyzing the transformation of agricultural land use patterns and their ecological impacts over space and time is essential for improving regional ecological protection and promoting high-quality development. This study starts from the perspective of cropland conversion and is based on data from 31 cities in China's city cluster in the UAMRYR from 2002 to 2022. It analyzes the spatial and temporal distribution of land use structure and cropland conversion, and explores the ecological effects of cropland conversion using a panel fixed model. The results of the study show that: (1) From 2002 to 2022, the spatial distribution pattern of land use in the UAMRYR remained consistent overall, with arable land and forest land dominating, and a significant increase in the area of impervious surfaces. (2) Relative to 2002, the area of arable land transferred out accounted for 11.997% of the total arable land and the area of arable land transferred in accounted for 12.755% of the total arable land. Overall, there is a trend of expansion in arable land. (3) The overall level of urban eco-resilience shows a steady increasing trend, with Jiangxi Province having the best urban eco-resilience, followed by Hunan Province and Hubei Province. (4) The inflow and net increase of cultivated land area play a positive role in promoting urban eco-resilience, while the outflow and conversion to impervious surfaces suppress the ecosystem's resilience against risks. This study conducts a sustained investigation into the ecological effects of cropland conversion across multiple cities, providing empirical evidence to enhance environmental quality and optimize the rational allocation of land resources.
Open Access: Yes
DOI: 10.1002/ldr.70080
Unveiling the blueprint for rural digital prosperity: A comparative examination of top 100 digital counties in China
Publication Name: Technological Forecasting and Social Change
Publication Date: 2024-11-01
Volume: 208
Issue: Unknown
Page Range: Unknown
Description:
The current research focus in the field of digital rural development revolves around achieving high-quality digital rural construction and addressing the digital divide in different regions. This is particularly significant in China, where the issue has grown increasingly prominent. To delineate the pathway for rural digitalization and bridge the digital divide, we have constructed a Technology-Organization-Environment (TOE) framework, drawing upon configuration theory. Utilizing data from China's Top 100 Digital Rural Counties and applying the methods of Necessary Condition Analysis (NCA) and Qualitative Comparative Analysis (QCA), we identified the configurational paths necessary to achieve high-quality digital rural construction and discerned the nature of the digital divide across various regions. The findings show that: 1) none of the single antecedent conditions is a necessary condition for achieving a high level of digital rural construction. 2) There are four configurational paths for high-quality digital rural construction: technology-organization combination, technology-organization optimization, technology-organization symbiosis, and environmental integration. 3) Further analyses show that the configurational path for high-quality rural digitalization in the southeast coastal areas is organization-led, multi-coordinated, and technology-environment driven. In contrast, for inland provinces, it is technology-led, technology-innovation, and technology-external pressure. Moreover, a comparative analysis of regional differences shows that the high-quality digital rural construction in the southeast coastal provinces presents a well-rounded development type, whereas for the inland provinces it demonstrates a development mode of technology-driven under government leadership. The findings provide valuable insights for rural digitalization research and shed light on bridging the digital divide.
Open Access: Yes
Technological innovation, industrial structure upgrading and mining energy efficiency: An analysis based on the super-efficient EBM model
Publication Name: Resources Policy
Publication Date: 2024-11-01
Volume: 98
Issue: Unknown
Page Range: Unknown
Description:
The sustainable development of the mining industry is essential for economic growth. However, this practice necessitates environmental protection and social sustainability. This study uses the super-efficient epsilon-based measure (EBM) model to measure mining energy efficiency (MEE) based on panel data for 30 provinces from 2007 to 2021 in China. We empirically examined the effects of technological innovation (TEC) on MEE and the mediating and threshold effects of industrial structure upgrading (IS) between the two through the fixed, mediating, and threshold effects models. The study findings show that TEC is conducive to enhancing MEE and that this role is relatively robust regarding the mechanism of action. TEC enhances the MEE industry through the IS. We observed the impact of TEC on MEE in the threshold effect of IS—as the level of IS rises, the role of TEC on MEE shows an increasing marginal effect. Therefore, the government should encourage the construction and innovation of technology to optimise the industrial structure and layout and improve energy efficiency in the regional mining industry. This study is a useful supplement to the study of MEE and provides new perspectives and methods for understanding and improving MEE. Meanwhile, the study results provide an important reference for the government to formulate long-term planning and policies for mining development, which is of great significance for optimising the structure of mining resources and improving MEE in the region.
Open Access: Yes
Role of energy natural resource productivity and environmental taxation in controlling environmental pollution: Policy-based analysis for regions
Publication Name: Geological Journal
Publication Date: 2024-11-01
Volume: 59
Issue: 11
Page Range: 3068-3079
Description:
The present study explores the impact of energy natural resource productivity and environmental tax on environmental sustainability in six major CO2 -emitting economies: the Euro Area, China, South Korea, Japan, the United Kingdom and the United States, from 1997 to 2019. This analysis aims to reveal novel findings and implications for different energy natural resource productivity types and environmental regulations. We employed data regarding leading national and regional CO2 emitters from 1997 to 2020 to conduct an empirical analysis using the panel non-linear auto-regressive distributed lag (NARDL) and panel quantile ARDL (QARDL) methods. The results show that energy natural resource productivity and environmental tax are crucial components in reducing CO2 emissions by controlling for innovation technology and renewable energy consumption. The main findings demonstrate that the impact is stronger in the presence of increased energy natural resource productivity and vice versa. These findings have novel implications for sustainable development and carbon neutrality.
Open Access: Yes
DOI: 10.1002/gj.5047
Resource savings, recycling and utilization, and energy transition: Introduction
Publication Name: Geoscience Frontiers
Publication Date: 2024-05-01
Volume: 15
Issue: 3
Page Range: Unknown
Description:
No description provided
Open Access: Yes
Blue sky through intellectual property protection: quasi-experimental evidence from China’s Intellectual Property City Program
Publication Name: Environment Development and Sustainability
Publication Date: 2024-01-01
Volume: Unknown
Issue: Unknown
Page Range: Unknown
Description:
A well-developed intellectual property system is an important backbone for green innovation and technology, which are widely regarded as crucial tools to combat haze pollution and achieve blue sky. Despite China’s aggressive launch of the Intellectual Property City Program (IPCP) since 2012 to improve its intellectual property system, there is little evidence on whether and how IPCP affects haze pollution. Compiling a panel dataset of Chinese cities, we employ a difference-in-differences estimator to identify the causal impact of IPCP on haze pollution. We find that IPCP can effectively reduce haze pollution in IPCP cities compared to non-IPCP cities after the IPCP launch. Our instrumented results using ancient academies further support the haze-abatement effect of IPCP. Mechanism tests reveal that this reduction is driven by green innovation effect and resource allocation effect. The effect is pronounced in eastern cities and cities with high degrees of green innovation, marketization and environmental regulation intensity. Our findings provide support for the critical role of powerful IP protection in haze pollution control.
Open Access: Yes
Interoperability of the revolutionary blockchain architectures and Islamic and conventional technology markets: Case of Metaverse, HPB, and Bloknet
Publication Name: Quarterly Review of Economics and Finance
Publication Date: 2023-12-01
Volume: 92
Issue: Unknown
Page Range: 112-131
Description:
This study examines how Islamic and conventional technology stock indices interact with blockchain technology assets including Metaverse, High-Performance Blockchain, and Blocknet, throughout different market conditions and horizons. A three-pronged approach is employed, namely the quantile cross-spectral coherency approach, the time-varying parameter vector autoregressions (TVP-VAR), and the Causality in quantiles methodology. The quantile coherency results show that connectivity between new generation blockchains and conventional and Islamic markets varies. It was found that the connectedness of the network of variables rises in the medium run and reaches its peak in the long run as a result of the TVP-VAR approach. It is evident from the results that the application of sharia screening only impacts the relationship between the technology stock index and digital assets significantly, but does not affect the connectedness and causality between the two. Technology managers, policymakers, and blockchain designers are able to gain new insights from these research findings.
Open Access: Yes
Spatial effects and heterogeneity analysis of the impact of environmental taxes on carbon emissions in China
Publication Name: Heliyon
Publication Date: 2023-11-01
Volume: 9
Issue: 11
Page Range: Unknown
Description:
Environmental taxes are important means by which governments can address environmental pollution problems. Amid increasingly severe global warming, how should environmental taxes be used to better combat pollution and reduce emissions to promote sustainable socioeconomic development? This empirical analysis explores the influence of environmental taxes on CO2 emissions by utilizing a spatial Durbin model constructed with panel data from 2006 to 2020 encompassing 30 provinces, autonomous regions, and municipalities under the direct jurisdiction of China's central government. First, we found that a strong spatial auto-correlation exists between carbon emission intensity and environmental taxes at the geographic and economic levels in each province. The characteristics of high–high and low–low agglomeration are consistent with the actual situation where each province has a strong regional correlation. Second, the estimation results of environmental taxes' spatial effect on carbon emissions show that under the neighboring space weight matrix, environmental taxes and fees can not only better promote regional carbon emission reduction but also reduce the carbon emissions of neighboring regions. Under the economic distance weight matrix, environmental taxes' impact on reducing carbon emission intensity in the province is not significant, but it can promote the reduction of carbon emissions in the economically neighboring provinces. Additionally, the results of the sub-tax estimation of environmental taxes and carbon emission intensity show that differences exist in the impacts of different environmental taxes on carbon emission intensity under different weight matrices. Among them, environmental protection, resource, vehicle and vessel, and urban land use taxes are basically unfavorable in reducing carbon emission intensity in a region and its neighboring regions, while urban maintenance and construction and cultivated land occupation taxes enhance carbon emission reduction. Our findings suggest that efficiently promoting carbon emissions reduction requires effectively utilizing the spatial effects of environmental taxes and carbon emissions, establishing and improving the regional carbon emissions reduction linkage mechanism, including carbon dioxide in the scope of taxation to further strengthen environmental taxes' positive impact on carbon emission reduction, and focusing on the heterogeneity of environmental tax implementation to achieve emission reduction goals.
Open Access: Yes
Entrepreneurial ecosystem and urban innovation: Contextual findings in the lens of sustainable development from China
Publication Name: Technological Forecasting and Social Change
Publication Date: 2023-06-01
Volume: 191
Issue: Unknown
Page Range: Unknown
Description:
Entrepreneurial activities constitute a critical antecedent to urban innovation (UI), which reflects the levels of innovation and creation activities in cities and is strongly related to their economic development. Existing research on UI focuses on the net effects of individual explanatories in isolation while leaving the synergistic effects between these factors under-examined. Drawing from the entrepreneurial ecosystem (EE) theory, we constructed an entrepreneurial ecosystem composed of market, finance, human capital, internet access, transportation, and government, adopting the fuzzy set qualitative comparative analysis (fsQCA) of 34 representative cities in China to analyze the combined effects of multiple elements underpinned UI. Consequently, the following findings were observed. First, no single entrepreneurial ecosystem element constitutes a necessary condition for a high UI level. Second, large markets and well-designed government services correspond well to high UI levels. Third, the lack of mature transportation and a large market lead to a non-high level. This study advances antecedent research on UI by addressing the complex mechanism of multi-factor linkages.
Open Access: Yes
Obsessive passion, opportunity recognition, and entrepreneurial performance: The dual moderating effect of the fear of failure
Publication Name: Frontiers in Psychology
Publication Date: 2023-01-04
Volume: 13
Issue: Unknown
Page Range: Unknown
Description:
A strong inclination toward an important or preferred activity is a critical factor that drives individual to engage in corresponding activities. This study focuses on how entrepreneurs, influenced by obsessive passion, are motivated to put great effort into taking advantage of business opportunities and accomplishing entrepreneurial goals. By using SPSS and AMOS tools to analyze the multi-source questionnaire of 208 entrepreneurs, the research results show that obsessive passion can promote entrepreneurial performance and opportunity recognition plays a mediating role. In addition, endogenous and exogenous fear of failure play different moderating roles in the effect of obsessive passion on opportunity recognition. The research conclusion deepens the theoretical understanding of entrepreneurial passion, opportunity recognition, and fear of failure at a more subtle level.
Open Access: Yes
