Impact and mechanism analysis of smart city policy on urban innovation: Evidence from China

2021 ◽  
Author(s):  
Jinxiu Wang ◽  
Kun Deng
Keyword(s):  
Smart City ◽  
Mechanism Analysis ◽  
City Policy

scholarly journals A Study of the Interaction of Human Smart Characteristics with Demographic Dynamics and Built Environment: The Case of Limassol, Cyprus

Smart Cities ◽  
2020 ◽  
Vol 3 (1) ◽  
pp. 48-73
Author(s):  
Maroula N. Alverti ◽  
Kyriakos Themistocleous ◽  
Phaedon C. Kyriakidis ◽  
Diofantos G. Hadjimitsis
Keyword(s):  
Decision Making ◽  
Smart City ◽  
Smart Cities ◽  
Policy Decision ◽  
Population Census ◽  
Data Set ◽  
Demographic Dynamics ◽  
Main Challenge ◽  
Policy Decision Making ◽  
City Policy

The smart city notion provides an integrated and systematic answer to challenges facing cities today. Smart city policy makers and technology vendors are increasingly stating their interest in human-centered smart cities. On the other hand, in many studies smart city policies bring forward a one-size-fits-all type of recommendation for all areas in question instead of location-specific ones. Based on the above considerations, this paper illustrates that smart citizen characteristics, alongside local urban challenges, are paving the way towards more effective efforts in smart city policy decision making. Our main presumption is that the development level of human-centered indicators of smart cities varies locally. The scientific objective of this paper is to find a simple, understandable link between human smart characteristics and local determinants in Limassol city, Cyprus. The data set consists of seven indicators defined as human smart characteristics and seven which determine local urban challenges consisting of demographic dynamics and built infrastructure attributes based on housing. Correlations of the 14 above indicators are examined in entirety and separately, as the study area was divided into three spatial sub-groups (high, moderate, and low coverage areas) depending on dispersed urbanization, as the main challenge of the study area. The data were obtained mainly from the most recent population census in 2011 and categorized in sub-groups by triggering CLC 2012. Analyzing the statistics using principal component analysis (PCA), we identify significant relationships between human smart city characteristics, demographic dynamics and built infrastructure attributes which can be used in local policy decision making. Spatial variations based on the dispersed urbanization are also observed regarding the above-mentioned relationships.

scholarly journals The Smart City is landing! On the geography of policy mobility

GeoScape ◽  
2018 ◽  
Vol 12 (2) ◽  
pp. 124-133
Author(s):  
Lucia Hýllová ◽  
Ondřej Slach
Keyword(s):  
Smart City ◽  
Policy Making ◽  
Urban Policy ◽  
Smart Cities ◽  
Specific Context ◽  
Policy Makers ◽  
Urban City ◽  
Time Space ◽  
Spatial Level ◽  
City Policy

Abstract The aim of this paper is to provide a geographical urban policy perspective on the strategy of Smart Cities in the specific context of Czechia. Considering that the implementation of the Smart Cities (SC) concept is still relatively young in Czechia, it is highly relevant to examine the time-space diffusion of this concept in Czechia in the geographical lens: where the first initiative to build a smart city started, when the process was started and by whom; in other words, to provide basic empirical evidence of understanding the policy mobility and implementation of smart city policy into the urban development strategies. In the first of our approach, we evaluate the implementation of the term “smart city” in strategic city documents. The next step is the analysis of the strategic urban (city) and smart city documents by distinguishing conceptually distinct pillars of the SC concept and an overview of actors and policy-makers who initiate and support individual pillars of the concept of SC in Czechia. The results of the analysis highlight the differences between the implemented SC topics into city strategies which are caused by fragmented policy mobility, its modifications and influence of key actors who have found the opportunity to participate in policy-making processes at the certain spatial level.

scholarly journals IMPLEMENTASI KEBIJAKAN SMART CITY DALAM MEWUJUDKAN KUALITAS PELAYANAN PUBLIK DI KOTA TANGERANG

2020 ◽  
Vol 3 (3) ◽  
pp. 61-75
Author(s):  
Syamsul Bahri ◽  
Khasan Effendy ◽  
Ngadisah ◽  
Sampara Lukman
Keyword(s):  
Information And Communication Technology ◽  
Communication Technology ◽  
Smart City ◽  
Public Services ◽  
Standard Operating Procedure ◽  
Standard Operating ◽  
Effective Level ◽  
Information And Communication ◽  
City Policy ◽  
Descriptive Method

The problems that arise in this research are related to the implementation of policy policies in realizing quality public services in in Tangerang City which focuses on the use of information and communication technology via the internet, online, digital and social media. The research method used is descriptive method with a qualitative approach. The results showed that the implementation of the smart city policy in realizing quality public services in Tangerang City could not be implemented effectively in improving the welfare of the community in fact from the factors that influence including; (1) communication that affects all existing indicators, and skills indicators are still not effective; (2) Relevant resources from all the existing indicators, and lack of effective skills in the provision of facilities and infrastructure needed; (3) The related disposition of all the existing indicators, and the less effective level of trust taken by the leadership; (4) Bureaucratic structures related to all existing indicators, and which are still less effective and instructive according to the Standard Operating Procedure (SOP).

scholarly journals Effects of Smart City Policies on Green Total Factor Productivity: Evidence from a Quasi-Natural Experiment in China

2019 ◽  
Vol 16 (13) ◽  
pp. 2396 ◽  
Author(s):  
Xin ◽  
Qu
Keyword(s):  
Total Factor Productivity ◽  
Traffic Congestion ◽  
Smart City ◽  
Natural Experiment ◽  
Population Expansion ◽  
Factor Productivity ◽  
Negative Effects ◽  
Development Patterns ◽  
City Policy ◽  
The City

When cities develop rapidly, there are negative effects such as population expansion, traffic congestion, resource shortages, and pollution. It has become essential to explore new types of urban development patterns, and thus, the concept of the “smart city” has emerged. The purpose of this paper is to investigate the links between smart city policies and urban green total factor productivity (GTFP) in the context of China. Based on panel data of 200 cities in China from 2007–2016 and treating smart city policy as a quasi-natural experiment, the paper uses a difference-in-differences propensity score matching (PSM-DID) approach to prevent selection bias. The results show: (a) Smart city policies can significantly increase urban GTFP by 16% to 18%; (b) the larger the city, the stronger and more significant this promotion.

The significance of digital data systems for smart city policy

2017 ◽  
Vol 58 ◽  
pp. 13-21 ◽  
Author(s):  
Karima Kourtit ◽  
Peter Nijkamp ◽  
John Steenbruggen
Keyword(s):  
Smart City ◽  
Digital Data ◽  
Data Systems ◽  
City Policy

scholarly journals Can Smart City Policy Facilitate the Low-Carbon Economy in China? A Quasi-Natural Experiment Based on Pilot City

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Shuangshuang Fan ◽  
Shengnan Peng ◽  
Xiaoxue Liu
Keyword(s):  
Smart City ◽  
Large Scale ◽  
Smart Cities ◽  
Dynamic Effect ◽  
Data Envelopment ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
City Policy ◽  
The Impact ◽  
Carbon Economy

This paper studies the impact of the implementation of smart city policy (SCP) on the development of low-carbon economy (LCE) in China. For this purpose, we developed a nonconvex meta-frontier data envelopment analysis (DEA) approach to measure LCE and used the differences-in-difference (DID) analysis method in the econometric model to empirically analyze the impact of SCP on LCE, using the dataset of 230 cities from 2005 to 2018. The results show that the implementation of SCP can significantly improve the LCE of cities, and the dynamic effect test presents that the promotion of smart cities to low-carbon economy increases with time. In addition, SCP promotes the development of LCE by optimizing government functions and improving the efficiency of governance and the degree of implementation openness. But there is heterogeneity between different cities as follows: the implementation of SCP has a more significant effect on the promotion of LCE in central and western regions in China and large-scale cities and cities without strict environmental protection planning. Finally, the robustness test verifies the reliability of the experimental data again and puts forward conclusions and policy recommendations.

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