Search

Your search keyword '"MENG Kejun"' showing total 2 results
Start Over Author "MENG Kejun"
2 results on '"MENG Kejun"'

1. Performance measurement for UK construction projects

Author

Meng, Kejun and Fenn, Francis

Abstract

As construction projects become more complicated, practitioners and researchers always deliberate on performance improvement. However, it is ambiguous for the definition of performance and how to measure it. Researchers with different theoretical backgrounds develop the functional performance measurement models from independent perspectives. However, these frameworks coexist simultaneously because every framework merely studies one of the multi-facets of performance with an obscure classification principle. Through critically reviewing literature from 1987 to 2020, 17 latent variables and 54 observable factors are identified covering broad aspects including finance, operation, quality, safety, client satisfaction, and development potential. A research method is required in conjunction with purpose; therefore, a quantitative method is used in this research to proceed with theory testing underpinned by a set of epistemological foundations with a large sample size. Structural Equation Modeling (SEM) is justified owing to its competency in effectively imputing the relations between unobservable and observable constructs. After data collection from UK contractors, High-order Confirmatory Factor Analysis (HCFA) through software named Mplus is implemented for data analysis. Model simplification, comparison and modification are determined based on the discussion of data analysis results. This research gives clear theoretical contributions by filling the research gap, which is the lack of the integrated construction project performance measurement model. HPMMCP model is developed to comprehensively consider financial and non-financial performance, internal and external stakeholders, current performance and developmental potential, for UK construction projects from the contractor perspective. In practice, utilising HPMMCP model assists the UK contractors to evaluate the to-date performance and manage stakeholders. HPMMCP model could further be coded as a plug-in of computer software to evaluate project performance automatically and momentarily. Keywords: Construction Projects; Performance Measurement; Construction Contractors; Structural Equation Modeling with Mplus; Confirmatory Factor Analysis.

Published
2021

2. Impact of the low-carbon city pilot policy on income inequality: exacerbation or restraint.

Author

FANG Xianming and MENG Kejun

Subjects
*INCOME inequality, *CITIES & towns, *CARBON nanofibers, *INCOME distribution, *GREEN technology, *GINI coefficient, *REGIONAL disparities, *TRAVELING salesman problem
Abstract

In order to promote green and low-carbon transformation, China has gradually carried out the pilot policy of low-carbon cities. In the process of promoting common prosperity, the impact of the implementation of this pilot policy on income inequality needs to be further studied. First, this research established a theoretical model to analyze the impact of the low-carbon city pilot policy on income inequality and its mechanisms. Then, using the panel data of 271 cities at prefecture level and above in China from 2006 to 2021, the Dagum Gini coefficient was constructed, and a quasi-natural experiment was conducted using a progressive difference-in-differences model. The results showed that: 1 The low-carbon city pilot policy could suppress income inequality. Since the implementation of this policy, income inequality in the pilot areas had decreased by an average of 0.9% compared with non-pilot areas during the experiment period. 2 The impact of the low carbon city pilot policy on restraining income inequality was realized through the mechanism of environmental governance investment and that of green technology innovation. 3 Heterogeneity analysis showed that the impact of the low-carbon city pilot policy on regional income inequality was significantly different due to differences in initial income distribution endowment, labor resource allocation, and carbon intensity. The impact of the low-carbon city pilot policy on income inequality was better in pilot areas with low initial income distribution endowments and insufficient labor resources. It had no obvious impact on the pilot areas with high carbon intensity. 4 Further research showed that the low-carbon city pilot policy could improve the common wealth index of pilot areas. Since the implementation of the policy, the common wealth index in pilot areas had increased by an average of 0.5% compared with non-pilot areas during the experiment period. Based on the above research findings, this study suggests that: we should continue to promote the low-carbon city pilot policy and deepen the social green and low-carbon transformation; improve the mechanism of regional environmental governance investment and enhance the level of regional green technology innovation; identify the distribution structure of regions with unbalanced income and guide labor flow in regions with misallocation of resources; and pay attention to employment problems in regions with high carbon intensity. [ABSTRACT FROM AUTHOR]

Published
2024

Catalog

Books, media, physical & digital resources
See catalog results