A study on the correlation between technology innovation and the new-type urbanization in Shaanxi province

Shang, Jin; Wang, Zhuo; Li, Ling; Yong, Cheng; Li, Pengfei

doi:10.1016/j.techfore.2018.04.029

Cited by 80 publications

(28 citation statements)

References 45 publications

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“…However, in the technology transformation stage, the technology has been applied to actual production, and with the spread of technology, the scale and scope of technology applications would continue to expand; thus, environmental pollution would also increase. CER restricts the environmental pollution caused by production activities through government mandatory laws, regulations, technical standards, and emission standards [44].…”

Section: Discussion and Recommendationmentioning

confidence: 99%

“…In general, it is believed that the secondary industry is the main source of pollution [26]. Referring to the study of Shang et al [44], the ratio of the secondary industry's output value to the GDP was used to characterise the industrial structure, represented as IP. In addition, the economic development level is the base of green innovation and is generally considered to promote the development of GIE [13,41].…”

Section: Control Variablesmentioning

confidence: 99%

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How Do Different Types of Environmental Regulations Affect Green Innovation Efficiency?

Zhao

Tang

et al. 2021

Journal of Mathematics

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Environmental regulation policies are being continuously enriched today. To effectively improve green innovation efficiency through environmental regulations, it is urgent to better understand the impact of different environmental regulations on green innovation efficiency (GIE). However, due to the defects of previous methods for measuring GIE, existing studies may have deviations when analysing the effect of environmental regulations on GIE. To fill this gap, using Shaanxi, China, as a case study, the present study proposes a network data envelopment analysis (DEA) model based on neutral cross-efficiency evaluation to accurately measure the GIE of Shaanxi during the period of 2001–2017. On this basis, this study further analysed the impact of different types of environmental regulations on GIE from three aspects: causality, evolutionary relationships, and effect paths. The results indicate that (1) the GIE of Shaanxi Province showed a “fluctuation-slow growth-steady growth” trend during 2001–2017, and after 2014, the problem of an uncoordinated relationship between technology research and design (R&D) and technology transformation began to appear; (2) there was a linear evolutionary relationship between command-and-control environmental regulation and GIE and a “U”-shaped evolutionary relationship between market-based/voluntary environmental regulation and GIE; and (3) command-and-control environmental regulation and voluntary environmental regulation affected GIE mainly at the technology R&D stage, while market-based environmental regulation ran through the entire process of green innovation activities. This study improves the evaluation methods and theoretical systems of GIE and provides the scientific basis for government decision-makers to formulate environmental regulation policies.

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Section: Discussion and Recommendationmentioning

confidence: 99%

Section: Control Variablesmentioning

confidence: 99%

How Do Different Types of Environmental Regulations Affect Green Innovation Efficiency?

Zhao

Tang

et al. 2021

Journal of Mathematics

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“…However, a city is comprised of many different systems and the success of the city as a whole, depends not only on how well each part functions, but also on the interconnections between these systems. Some attempts at measuring cities focus more on understanding the relationships between different elements of the city rather than a single overall measure [27,28].…”

Section: Research Into City Measuresmentioning

confidence: 99%

A taxonomy of measures for smart cities

Backhouse

2020

Proceedings of the 13th International Conference on Theory and Practice of Electronic Governance

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As the idea of a smart city has developed over the past few decades and become commonplace, so the urge to decide which cities are smarter or smartest, and the need to measure progress of cities towards increasing smartness have emerged. Measuring the functioning of cities is complex given that they consist of many intersecting systems. Many different measures have been proposed, tested, and in some cases, implemented. This array of measures results in confusion for researchers, policy makers and city management. This review of the academic and practitioner literature, as well as web sites, identified and examined fifty-three different measures for cities. The characteristics of these measures were analysed based on information available from desktop research. Four types and twelve sub-types of smart city measures were identified. From this analysis, a taxonomy of smart city measures is presented. The potential uses of each subtype within the taxonomy are discussed.

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“…Finalmente, la ciudad es complementada por políticas públicas, al incorporarse el Ministerio de Telecomunicaciones y de la Sociedad de la Información en Quito, lo cual trajo consigo el acceso a conexiones inalámbricas, banda ancha, 4G, internet en espacios públicos, automatización de los servicios, cámaras de vigilancia urbana, inteligencia artificial, plataformas electrónicas de gobierno, información abierta a la ciudadanía, entre otros elementos que han permitido experimentar la relación entre innovación tecnológica y urbanización de nuevo tipo (Shang et al (2018), y que, a su vez, desde el punto de vista de Peña (2012), han ayudado a emprender el camino hacia la generación de servicios terciarios en una ciudad de conectividad local y global.…”

Section: Figura 6: Implementación De Las Tic 2000-2018unclassified

El Desarrollo Tecnológico en El Proceso De Urbanización De La Ciudad De Quito

Álvarez

Rojas

2020

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La presente investigación tiene por objetivo analizar el encuadre histórico del proceso urbano de Quito, ciudad capital de Ecuador, a través de un estudio sintetizado de temporalidades y categorías tecnológicas desde el ámbito de la geografía urbana, lo cual, permite evidenciar diversos tejidos, hitos históricos, criterios e ideologías, que han enmarcado el desarrollo de la ciudad de acuerdo a su avance científico-tecnológico. Dicha indagación, que toma como periodo de estudio desde la fundación de la ciudad a fechas recientes (1534-2018), recurre al análisis documental y método histórico, para luego plasmarse de modo cartográfico, por medio de metodología participativa, a través de mapas ilustrados inéditos de la evolución tecnológica de la ciudad de Quito, producto de un equipo de trabajo multidisciplinar.

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A study on the correlation between technology innovation and the new-type urbanization in Shaanxi province

Cited by 80 publications

References 45 publications

How Do Different Types of Environmental Regulations Affect Green Innovation Efficiency?

How Do Different Types of Environmental Regulations Affect Green Innovation Efficiency?

A taxonomy of measures for smart cities

El Desarrollo Tecnológico en El Proceso De Urbanización De La Ciudad De Quito

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