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Article
Publication date: 18 January 2016

Khee Giap Tan, Tongxin NIE and Shinae Baek

This paper aims to apply a comprehensive Liveability Cities index to rank the liveability of 100 cities in the Greater China Region. Against the backdrop of the ongoing trend of…

Abstract

Purpose

This paper aims to apply a comprehensive Liveability Cities index to rank the liveability of 100 cities in the Greater China Region. Against the backdrop of the ongoing trend of rapid and extensive urbanisation observed in China, “liveability” is being given an increasingly higher priority by the Chinese government. However, there has been no attempt to empirically measure this concept and to examine its nexus to the narrower concept of competitiveness.

Design/methodology/approach

The index is based on 96 indicators across five environments, namely, economic vibrancy and competitiveness; environmental friendliness and sustainability; domestic security and stability; socio-cultural conditions; and political governance.

Findings

The empirical results show that Hong Kong, Macau and cities in Taiwan generally perform well in overall liveability rankings, while first-tier cities in mainland China (Beijing, Shanghai, Guangzhou and Shenzhen) do not find a place among the top ranks.

Originality/value

The rankings and simulation exercise aim to provide Chinese policy makers with a framework to assess the liveability of China’s cities and suggests indicative policy suggestions that can be taken to improve overall liveability.

Details

Competitiveness Review, vol. 26 no. 1
Type: Research Article
ISSN: 1059-5422

Keywords

Article
Publication date: 15 April 2020

Svetlana V. Lobova, Alexander N. Alekseev, Tatiana N. Litvinova and Natalia A. Sadovnikova

The purpose of the work is to solve the set problem and to study the competition and perspectives of division of labor of humans and machines during creation of intangible assets…

Abstract

Purpose

The purpose of the work is to solve the set problem and to study the competition and perspectives of division of labor of humans and machines during creation of intangible assets in Industry 4.0.

Design/methodology/approach

The research is performed with the help of regression and comparative analysis by building regression curves and with the help of the qualitative structural and logical analysis.

Findings

The authors perform an overview of the factors that determine the advantages and limits of participation in creation of intangible assets in Industry 4.0, determine the perspectives and compile recommendations for division of human and machine labor during creation of intangible assets in Industry 4.0.

Originality/value

The results of the performed research confirmed the general hypothesis that machine technologies allow improving the innovative, marketing and organizational and managerial activities and activities in the sphere of R&D through automatization of certain stages of the process of creation of intangible assets. The authors determine the factors that define the contribution of machine technologies in this process and their competitive advantages as compared to human intellectual capital during creation of intangible assets. These advantages prove the possibility and expedience of division of human and machine labor during creation of intangible assets.

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