Knowledge Structures of City Innovation Systems: Singapore and Hong Kong

Wong, Chan‐Yuan; Ng, Boon-Kwee; Azizan, Suzana Ariff; Hasbullah, Maisarah

doi:10.1080/10630732.2017.1348882

Cited by 25 publications

(6 citation statements)

References 51 publications

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“…The primary indicator of science and technology consists of 75 system elements, and its appraisal rate was 155 times, while the average appraisal rate was 2.07 times. Four system elements were identified with a high appraisal rate: patented technology (27 times), research funding (24 times), scientific literacy (24 times), and the number of scientific researchers (22 times) [36,37,38].…”

Section: Methodsmentioning

confidence: 99%

An Evaluation Model for Urban Comprehensive Carrying Capacity: An Empirical Case from Harbin City

Xue

Liang

2019

IJERPH

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Urbanization has brought notable benefits for cities, but has also resulted in severe and diverse challenges in China. Previous studies have contributed to the definitions and evaluation of urbanization. However, there remain a great deal of ambiguities regarding urban comprehensive carrying capacity, and its measurable indicators still need further exploration given the urban development. This study aims to explore a model for evaluating urban comprehensive carrying capacity and thus to promote urban development. A total of 48 indicators which fell into 8 subsystems were identified to evaluate the urban comprehensive carrying capacity through literature reviews and interviews. The indicator set was developed for evaluation indicator selecting. Meanwhile, the dynamic system was explored, and an evaluation model based on the entire array polygon method was designed to evaluate urban comprehensive carrying capacity. Finally, a case study was conducted to provide suggestions for the decision-maker to implement the evaluation model. The results of this study show that the evaluation indicator system was dynamic due to urban development. Meanwhile, the model of the entire array polygon method was able to effectively evaluate urban comprehensive carrying capacity through the case study. Furthermore, this study found that there is an imbalance among subsystems in urban development according to the standard deviation. The findings are useful for setting up a benchmark framework for urban sustainability and providing an evaluation and monitoring model for decision maker to improve the urban carrying capacity.

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Section: Methodsmentioning

confidence: 99%

An Evaluation Model for Urban Comprehensive Carrying Capacity: An Empirical Case from Harbin City

Xue

Liang

2019

IJERPH

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“…Finally, urban areas are populated with well‐educated people having a social background who are highly paid and create a high and differentiated level of consumer demand (Shang et al., 2018). Theoretical and practical models of city/urban innovation systems have been fully explored in literature (Markatou & Alexandrou, 2015; Shang et al., 2018; Wong et al., 2018). However, not every city has to be innovative (Fitjar and Rodríguez‐Pose, 2020).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Innovation drivers in regions. Does urbanization matter?

2022

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Most research aimed at identifying factors stimulating innovation activity at the regional level poorly takes into account the fact that the importance of various factors may differ in regions with different degrees of urbanization. Moreover, there is still few comprehensive empirical studies identifying innovation systems as regional 'ecosystems', which significantly expands the set of potential factors influencing innovation activity. In the present study, we address this research gap on the example of Polish NUTS 3 regions. Using econometric models of panel data we analyse regional innovation ecosystems from the perspective of quintuple helix components. It was proven that the impact of the various elements depends on the urbanization degree. One of the findings is that, while the science sector turned out to be one of the most important for urban regions and social capital is key for rural areas, the road infrastructure appears to be important for intermediate regions. The results obtained may constitute the basis for differentiation of policies addressed to selected, more or less urbanised areas, not only in terms of factors reflecting the enterprises directly but also in such aspects as science, administration, territorial conditions, natural environment and other elements of the enterprise environment.

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“…The past 20 years have seen Smart City development initiatives aimed at developing infrastructure and services that form a comfortable urban environment for people in many cities around the world. However, Smart City development's scientific paradigm is in its infancy today, which is due to the multiplicity of similar categories as ''sustainable '', ''smart'', ''digital'', ''intelligent'', and ''ecofriendly'', etc. Many scientists (Albino et al, 2015;Angelidou, 2017;Benner, 2019;Ben-Zadok, 2019;Dowling et al, 2019;Hatuka et al, 2018;Jin et al, 2019;Joss et al, 2019;Jonescu et al, 2020;Komninos, 2014;Wong et al, 2018;Yigitcanlar & Kamruzzaman, 2019) associate the Smart City transport and logistics system with the development of physical, digital and intellectual infrastructure, which serves as the basis for harmonizing streaming and non-streaming processes. However, the theoretical and methodological foundations of its development and functioning are in the process of formation.…”

Section: Problem Statementmentioning

confidence: 99%

“…Today, the progressive development of modern cities faces the following problems such as the resource supply, the functioning of the transport and logistics system (or TLS), processing, storage and transmission of information, as well as with an increase in social and material inequality, security, deterioration of the natural environment and difficult epidemic situations (Dalton et al, 2019;Dowling et al, 2019;Hatuka et al, 2018;Jin et al, 2019;Wong et al, 2018). Of particular interest are the directions of economic discussions on the development and formation of an integrated urban digital ecosystem, where the development of modern cities' infrastructure is of the highest priority.…”

Section: Introductionmentioning

confidence: 99%