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Institution

Hong Kong Polytechnic University

EducationHong Kong, China
About: Hong Kong Polytechnic University is a education organization based out in Hong Kong, China. It is known for research contribution in the topics: Tourism & Population. The organization has 29633 authors who have published 72136 publications receiving 1956312 citations. The organization is also known as: HKPU & PolyU.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors compared the performance of Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) on the same set of container port data for the world's largest container ports and compared the results obtained.
Abstract: The efficiency of the container port industry has been variously studied utilising either Data Envelopment Analysis (DEA) or Stochastic Frontier Analysis (SFA). Given the strengths and weaknesses associated with these two approaches, the efficiency estimates and scale properties derived from these analyses are not always convincing. This paper applies both approaches to the same set of container port data for the world’s largest container ports and compares the results obtained. A high degree of correlation is found between the efficiency estimates derived from all the models applied, suggesting that results are relatively robust to the DEA models applied or the distributional assumptions under SFA. High levels of technical efficiency are associated with scale, greater private-sector participation and with transhipment as opposed to gateway ports. In analysing the implications of the results for management and policy makers, a number of shortcomings of applying a cross-sectional approach to an industry characterised by significant, lumpy and risky investments are identified and the potential benefits of a dynamic analysis, based on panel data, are enumerated.

509 citations

Journal ArticleDOI
TL;DR: A comprehensive review of existing plate debonding strength models is presented and each model is summarised and classified into one of the three categories based on the approach taken, and its theoretical basis clarified.

507 citations

Journal ArticleDOI
TL;DR: In this article, a critical review and assessment of existing analysis-oriented models for FRP-confined concrete is presented; this database includes 23 new tests which have not previously been published.

507 citations

Journal ArticleDOI
TL;DR: The proposed 3D DSN is capable of conducting volume‐to‐volume learning and inference, which can eliminate redundant computations and alleviate the risk of over‐fitting on limited training data, and the3D deep supervision mechanism can effectively cope with the optimization problem of gradients vanishing or exploding when training a 3D deep model.

507 citations

Posted Content
TL;DR: The authors examined the empirical association between corporate social responsibility (CSR) and tax avoidance and found that firms with excessive irresponsible CSR activities have a higher likelihood of engaging in tax sheltering activities and greater discretionary/permanent book-tax differences.
Abstract: We examine the empirical association between corporate social responsibility (CSR) and tax avoidance. Our findings suggest that firms with excessive irresponsible CSR activities have a higher likelihood of engaging in tax sheltering activities and greater discretionary/permanent book-tax differences. Moreover, at the onset of FASB Interpretation No. 48, these firms have more uncertain tax positions; also, these firms’ initial tax positions are likely supported by weaker facts and circumstances as indicated by their larger post-FIN 48 settlements with tax authorities and their higher likelihood of a net decrease in the overall level of uncertain tax positions after FIN 48. Collectively, these results suggest that firms with excessive irresponsible CSR activities are more aggressive in avoiding taxes, lending credence to the idea that corporate culture affects tax avoidance.

506 citations


Authors

Showing all 30115 results

NameH-indexPapersCitations
Jing Wang1844046202769
Xiang Zhang1541733117576
Wei Zheng1511929120209
Rui Zhang1512625107917
Jian Yang1421818111166
Joseph Lau140104899305
Yu Huang136149289209
Dacheng Tao133136268263
Chuan He13058466438
Lei Zhang130231286950
Ming-Hsuan Yang12763575091
Chao Zhang127311984711
Yuri S. Kivshar126184579415
Bin Wang126222674364
Chi-Ming Che121130562800
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
2023229
2022971
20216,743
20206,207
20195,288