Are low carbon cities attractive to cleantech firms? Empirical evidence from a survey

Kapsalyamova, Zhanna; Mezher, Toufic; Hosany, Nawal Al; Tsai, I-Tsung

doi:10.1016/j.scs.2014.05.005

Cited by 8 publications

(3 citation statements)

References 15 publications

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“…This implies that urban population pressure has a significant impact on the yield of ES, which is also consistent with previous findings [21,64]. Xi'an, the administrative, economic and political center of the study area, has a strong urban absorption capacity [65], but remains a spatial depression of ESV [66]. Of the land available for development, Xi'an is the most heavily developed and has displayed the greatest increase in consumption of ESV.…”

Section: Spatial Inequality Of Per Capita Esv In 2025supporting

confidence: 90%

Impacts and Projections of Land Use and Demographic Changes on Ecosystem Services: A Case Study in the Guanzhong Region, China

Chen

et al. 2022

Sustainability

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Land use change and demographic factors directly or indirectly affect ecosystem services value, and the analysis of ecosystem services contributes to optimization of land planning, which is essential for regional sustainable development. In this study, ArcGIS 10.2, IDRISI 17.0 Selva and MATLAB software, value coefficient method, CA-Markov prediction model and population growth model were applied to analyze the spatial and temporal changes of land use trends and ecosystem service values in Guanzhong region, and further predict the impacts of land type changes and population changes on ecosystem services in the context of urbanization. Results showed that the expansion of construction land was the most intense, and the transfer process mainly crowded out arable land; the total ecosystem services value grew spatially in a “low center-high periphery” ring with large differences at the bottom, and forest land was the most important value provider. The total ecosystem services value was estimated to decline in the future, with low-value areas spreading northward and differences in the per capita ecosystem services value increasing. This study provides a reference for optimal simulation of urban expansion and ecological conservation.

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Section: Spatial Inequality Of Per Capita Esv In 2025supporting

confidence: 90%

Impacts and Projections of Land Use and Demographic Changes on Ecosystem Services: A Case Study in the Guanzhong Region, China

Chen

et al. 2022

Sustainability

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“…Scholars have explored how cleantech firms design their external collaborations and partnerships (Meyskens and Carsrud 2013;Hansen 2014), develop the markets for their products (Doganova and Karnøe 2015), enter foreign markets (Steinz et al 2016), attract venture capital investments (Giudici and Roosenboom 2004;Boyer 2011;Criscuolo and Menon 2015;Cumming et al 2016), and raise capital through specialized crowdfunding portals (Bonzanini et al 2016;Giudici et al 2017). Kapsalyamova et al (2014) have shown that cleantech firms are not interested in relocating their activities to low-carbon cities, but their location choices primarily depend on factors of supply and demand. In this manner, the authors reveal a more general research issue: which local factors favor/hamper the creation of cleantech firms (hereafter: cleantech startups) in a geographical area?…”

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confidence: 99%

The creation of cleantech startups at the local level: the role of knowledge availability and environmental awareness

2017

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In this paper, we explore which local factors affect the creation of cleantech startups in a geographical area. Specifically, we note that these startups combine innovation and attention to the environment. Thus, we consider two primary sets of local factors: the availability of scientific and technological knowledge and the environmental awareness of local governments and communities as the main drivers of the creation of cleantech startups. Using a dataset of 393 cleantech startups created between 2012 and 2014 and extracted from the Italian official database of innovative startups, we estimate negative binomial regressions whose dependent variable is the number of cleantech startups created in each of the 110 Italian provinces. The results highlight that both the local availability of scientific and technological knowledge and the local environmental awareness are crucial determinants of cleantech entrepreneurship in a geographical area. We discuss the implications of these results for policymakers who intend to stimulate this type of entrepreneurship.

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“…In addition, the existing literature also found that low‐carbon city pilot policy can help improve the environmental performance of enterprises (Li et al, 2023) and increase the green innovation of enterprises (Zeng et al, 2023). However, the low‐carbon city pilot policy did not significantly increase the migration of clean technology companies (Kapsalyamova et al, 2014) and has also intensified the green‐washing behavior of enterprises (Zhang, 2023).…”

Section: Literature Review and Hypothesis Formulationmentioning

confidence: 99%

Carbon reduction policy and firms' executive‐employee pay gap: Evidence from low‐carbon city pilot policy

Xie,

Miu,

Zhang

2024

Manage Decis Econ

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Taking the low‐carbon city pilot policy as a quasi‐natural experiment and using the data of Chinese listed companies, this paper examines the impact and mechanism of low‐carbon city pilot policy on the firms' executive‐employee pay gap. The results show that the implementation of low‐carbon city pilot policy significantly promotes the executive‐employee pay gap. Mechanism analysis results show that the low‐carbon city pilot policy promotes the executive‐employee pay gap mainly by enhancing the risks of enterprises' environmental violations and increasing management complexity. Heterogeneity analysis shows that the promoting effects of the pilot policy are more obvious in state‐owned enterprises, large‐scale enterprises, high‐carbon emission enterprises, and enterprises in labor‐intensive industries. The paper provides a decision‐making reference for coordinating common prosperity progress and corporate high‐quality development in the context of carbon reduction transformation.

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Are low carbon cities attractive to cleantech firms? Empirical evidence from a survey

Cited by 8 publications

References 15 publications

Impacts and Projections of Land Use and Demographic Changes on Ecosystem Services: A Case Study in the Guanzhong Region, China

Impacts and Projections of Land Use and Demographic Changes on Ecosystem Services: A Case Study in the Guanzhong Region, China

The creation of cleantech startups at the local level: the role of knowledge availability and environmental awareness

Carbon reduction policy and firms' executive‐employee pay gap: Evidence from low‐carbon city pilot policy

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