Social Development in Hong Kong: Development Issues Identified by Social Development Index (SDI)

Chua, Hoi-wai; Wong, Anthony K. W.; Shek, Daniel T. L.

doi:10.1007/s11205-009-9525-7

Cited by 20 publications

(7 citation statements)

References 11 publications

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“…Only a small percentage of the population can afford the high prices of private housing, with about 50% of the population residing in public housing. More than 100,000 applicants are listed in the Housing Authority, awaiting public rental housing (PRH), possibly for at least seven years before moving into a rental place, given the PRH demand and supply (Chua et al, 2010). Housing issues in Hong Kong have resulted in widespread discontent.…”

Section: Introductionmentioning

confidence: 99%

Schedule risks in prefabrication housing production in Hong Kong: a social network analysis

Hong

Xue

et al. 2016

Journal of Cleaner Production

231

172

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Various schedule risks beset prefabrication housing production (PHP) in Hong Kong throughout the prefabrication supply chain, from design, manufacturing, logistics, to on-site assembly. Previous research on the risks in prefabrication construction projects has mainly focused on the construction stage and has been confined to issues of completeness and accuracy without consideration of stakeholder-related risks and their cause-and-effect relationships.However, in reality, the supply chain is inseparable as precast components should be manufactured and transported to sites to fit in with the schedule of on-site assembly in seamless connection manner, and most risks are interrelated and associated with various stakeholders.This study applies social network analysis (SNA) to recognize and investigate the underlying network of stakeholder-associated risk factors in prefabrication housing construction projects.Critical risks and relationships that have important roles in structuring the entire network of PHP are identified and analyzed. BIM (Building Information Modelling)-centered strategies are proposed to facilitate stakeholder communication and mitigate critical schedule risks and interactions underlying the risk network. This study not only provides an effective method to analyze stakeholder-associated risk factors and to evaluate the effect of these risk factors from a network perspective, but also offers a new visual perspective in the promotion of the use of the Internet of things (IoT) and helps identify housing construction problems in Hong Kong.

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Section: Introductionmentioning

confidence: 99%

Schedule risks in prefabrication housing production in Hong Kong: a social network analysis

Hong

Xue

et al. 2016

Journal of Cleaner Production

231

172

View full text Add to dashboard Cite

show abstract

“…Although there are different indicators and rankings to measure and monitor progress on sustainability at the macro level, the benefits for stakeholders and policy makers are still limited due to the lack of predictive models (Pérez-Ortiz et al, 2014). The literature studies show that the results of research on various aspects of sustainable development, including its social dimension, are presented above all at the level of individual countries, for example Roszkowska and Karwowska (2014), Roszkowska and Filipowicz-Chomko (2016), Ivanova (2015), Kotykova and Albeshchenko (2017), Prasad (2008), Ray (2008), Chua et al (2010), Bibó (2015), Kumar (2017).…”

Section: Discussionmentioning

confidence: 99%

Industry 4.0 and Social Development in the Aspect of Sustainable Development: Relations in EC Countries

Wyrwa¹,

Barska²,

Jędrzejczak-Gas³

et al. 2020

ERSJ

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“…Secondly, in the expected output indicators, the outputs of three benefits (economic, social and ecological) are adopted as the first level of indicators. The Science, Education, Culture, and Health Development Index is used to measure the output of social benefits, where the number of invention patents, primary and secondary school teachers, library collections, and hospital beds are comprehensively calculated using the entropy value method [39]. Meanwhile, the downtown GDP and downtown landscaped area are adopted as indicators of economic and ecological benefits, respectively.…”

Section: Measurement Of Urban Land Green Use Efficiencymentioning

confidence: 99%

The Impact of Industrial Agglomeration on Urban Land Green Use Efficiency and Its Spatio-Temporal Pattern: Evidence from 283 Cities in China

Yan-ming

2023

Land

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Industrial agglomeration is one of the primary driving factors in city creation, and the improvement of urban land green use efficiency (ULGUE) is an important part in green development. This study concentrates on the impact of industrial agglomeration on ULGUE in the process of urbanization. Based on the panel data of 283 cities in China from 2003 to 2019, this paper constructs a super efficiency SBM-DEA model including unexpected outputs to evaluate ULGUE. Using a spatial Durbin model, we examine the spatial spillover effects of manufacturing and productive services agglomeration on ULGUE. The results show the following: (1) There has been fluctuation over the study period, which can be classified into three stages, and ULGUE in China as a whole is on the rise. (2) Chinese ULGUE has increased greatly in the western and northeastern regions, changed massively in the eastern region, and stayed largely steady in the middle region. The degree of manufacturing agglomeration is further improved, exhibiting a feature resembling a ladder, with high concentrations in the southeast coastal region and low concentrations in the interior. Production service industry agglomeration intensity has declined, revealing a more dispersed spatial pattern. (3) The rise in local ULGUE will have a beneficial impact on the ULGUE of spatially correlated regions, according to ULGUE’s relatively strong spillover effect. (4) Manufacturing agglomerations can enhance the ULGUE in the neighborhood, but it is not obvious how this will impact the local regions. The agglomeration of production service industry can enhance the improvement of ULGUE in local and spatially correlated regions, but the direct effect is weak. (5) The integration of the manufacturing and productive service industry does not quite strengthen its stimulatory effects on the growth of ULGUE.

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Social Development in Hong Kong: Development Issues Identified by Social Development Index (SDI)

Cited by 20 publications

References 11 publications

Schedule risks in prefabrication housing production in Hong Kong: a social network analysis

Schedule risks in prefabrication housing production in Hong Kong: a social network analysis

Industry 4.0 and Social Development in the Aspect of Sustainable Development: Relations in EC Countries

The Impact of Industrial Agglomeration on Urban Land Green Use Efficiency and Its Spatio-Temporal Pattern: Evidence from 283 Cities in China

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