This study determines the top fifty authors in China and their university affiliations in the maritime transportation field, compared to their world ranking. We refer to China in the broad sense of the Chinese economies, including not only mainland China and Hong Kong, but also Chinese Taipei (Taiwan) and Singapore. This study analyzes sixty-five SSCI and SCI journals in the field of maritime and transportation between the years 2000 and 2015. In terms of ranking, three indicators are employed: total number of articles, weighted score (indication of author contribution), and the impact score. With the exception of Shanghai Jiao Tong University, no other universities selected in the first phase of Project 985, which received billions of dollars in government support/aid, were listed in the world ranking. Star authors are deemed to have contributed greatly to the rankings of their affiliated universities. The future of China’s rankings is bright in view of the increasing number of papers being published by Chinese authors and universities and their strong grounding in quantitative methodologies.
The Chinese economy today is second only to that of the USA, due to its open door policy. Even as China was being driven by the open-door policy and enjoying unprecedented economic growth, China’s leaders began to recognize the importance of education to further boost economic growth and social development. In February 1993, the Chinese authorities launched the “Program for Education Reform and Development in China,” in order for the central and local governments to focus on 100 key universities. In May 1995, the Communist Party of China (CCP) and the State Council, the cabinet of China, jointly issued the Decision to Speed up the Advancement of Science and Technology, with the State Council launching “Project 211” in 1995. Motivated by the development of China’s higher education under Project 211, then President Jiang Zemin asserted in May 1998 that China must have several first-rate universities of an advanced international level. In December 1998, the “Action Plan to Vitalize Education in the 21st Century” was promulgated by the Ministry of Education for concentrating limited resources to develop world-class universities within 20 years. President Jiang’s policy was named “Project 985.” Peking and Tsinghua universities were the first recipients, receiving 1.8 billion yuan (US$225 million) in the first round of special funding for three years from 1999. From July to November 1999, another seven universities were added to Project 985. By 2006, a total of 37 universities had been brought under the project scope. The universities were awarded special funds of billions of yuan each by both the central government and the respective local governments [
Against this backdrop, it is an intriguing research question whether China’s quest for world class universities has been satisfied in the maritime transportation area. More specifically, it seems to be timely, in view of the two decade-long government policy of developing world class universities, to single out the most productive researchers and institutions in China for maritime research, and to investigate whether their contributions are equivalently recognized in the literature. Logistics and supply chain literature has determined author and school rankings [
Therefore, this study can contribute to the literature and benefit the readers of this journal in the following ways. The results of this study are expected to serve as an important guideline for students in choosing graduate programs and professors in the field of maritime transport. Furthermore, the number of papers published in the SSCI and SCI journals in China recently has become important as an indicator of university competitiveness, which in turn becomes a source of attracting leading scholars and motivation for schools. Finally, the result of this research can be used to evaluate whether the investment of government or school on education are effective.
To this end, this paper examines the top 50 authors affiliated with Chinese research institutions (mostly universities) in the field of maritime transportation in comparison with their world rankings. In addition, it investigates what factors influence research performance. China in this paper refers, in the broad sense, to the Chinese economies including not only mainland China and Hong Kong, but also Chinese Taipei (Taiwan) and Singapore, as there is close collaboration and trade relationships in these economies, both in industry and academia. The analysis covers articles published in 65 Social Sciences Citation Index (SSCI) and Sciences Citation Index (SCI) maritime and transportation journals over sixteen years (from 2000 to 2015). For the purpose of ranking, this study employs three indicators: the number of papers, the weighted score (indicating author contribution), and the impact score that reflect the impact factor.
Section
This paper’s methodology builds on the work of Chang et al. [
First, we selected key journals by building upon Lee et al. [
From our search for the relevant key words, we discovered that “shipping” was the most researched field in maritime transport; more specifically, topics related to port, including “port management, service, performance, efficiency and competitiveness,” were the most popular, as well as “shipping market, industry, freight rate and economic impact”; and “terminal studies” [
In terms of keyword search, we initially worked with following nine: “port,” “shipping,” “maritime,” “marine,” “terminal,” “ship,” “liner,” “vessel,” and “seaport.” We then expanded and adjusted these keywords following Davarzani et al. [
We relied on three criteria: the number of papers published, weighted score, and impact score. In case of the H index which is widely used index measuring both the productivity and citation impact of the publications of authors for academic impacts, it only shows the most cited number of papers versus citations, while the impact score also contains information about the contribution of the first author or the corresponding author. Also, the H index loses information because it expresses the number of citations and papers as a minimum. For example, if a person wrote a single article and it was published in a prestigious journal with very high impact factor, the h index is only 1. Therefore, we excluded the H index. Given that the H index is widely used in the academia, the comparison between the H index and other criteria would be an interesting research topic in the future. In this study, we only focus on three criteria for the aforementioned reasons.
Many existing studies have used the first criterion to measure author performance [
Since papers published in prestigious journals tend to have greater “impact,” it is necessary to adjust the score to account for the “impact factor.” We calculate this statistic by dividing the total number of citations over the past two years by the total number of papers published during the same period in a journal. The impact factor is generally agreed to be a reliable and reasonable measure of journal quality [
We calculated the impact score as follows:
To investigate what factors influence research works, ANOVA was untaken with the impact score as the dependent variable. For the independent variables, we considered the following: (1) the ratio of multi-authored papers; (2) the average number of authors per paper; (3) school rankings from the author’s latest affiliation; (4) a dummy variable for country; and (5) a dummy variable for the authors’ major. Analysis of the data shows that the ratio of multi-author papers has increased sharply in contrast with decreasing single-author papers. Additionally, the number of authors was considered. Following Gorman and Kanet [
Since the data set seemed to have an extreme value, the Bonferroni outlier test was conducted. All information came from web journal data bases except for school rankings, which came from QS World University Rankings (
The number of papers published in China with maritime research themes have increased rapidly from 17 and 10 papers in 2000 and 2001, respectively, to 147 papers in 2015 amounting to an almost fifteenfold increase. The number of papers has almost doubled every five years, and the range of journals has also widened from 25 journals for the 2000-2005 period to 64 journals for the 2011-2015 period. Most of the papers were multi-authored, while single-authored papers have gradually declined from 20 % in the early period to 10 % lately.
Table
Ranking by author.
Rank | Author | No. of papers | Author | Weighted score | Author | Impact score |
---|---|---|---|---|---|---|
1 | Meng, Qiang | 52 | Meng, Qiang | 22.0 | Meng, Qiang | 39.6 |
2 | Cheng, T. C. E. | 32 | Lam, Jasmine Siu Lee | 16.3 | Lam, Jasmine Siu Lee | 22.4 |
3 | Lam, Jasmine Siu Lee | 32 | Lu, Chin-Shan | 13.4 | Lu, Chin-Shan | 14.4 |
4 | Lun, Y. H. Venus | 26 | Lun, Y. H. Venus | 10.0 | Lun, Y. H. Venus | 13.3 |
5 | Lu, Chin-Shan | 25 | Luo, Meifeng | 9.2 | Luo, Meifeng | 13.0 |
6 | Lai, Kee-hung | 25 | Lee, Paul Tae-Woo | 9.0 | Lim, Andrew | 12.3 |
7 | Lim, Andrew | 25 | Cheng, T. C. E. | 8.2 | Lee, Paul Tae-Woo | 12.1 |
8 | Lee, Paul Tae-Woo | 25 | Lee, Der-Horng | 7.9 | Cheng, T. C. E. | 10.7 |
9 | Luo, Meifeng | 20 | Yip, Tsz Leung | 7.4 | Lee, Der-Horng | 10.5 |
10 | Lee, Der-Horng | 18 | Lim, Andrew | 7.1 | Yip, Tsz Leung | 10.2 |
| ||||||
11 | Yip, Tsz Leung | 16 | Lai, Kee-hung | 6.6 | Lee, Chung-Yee | 9.8 |
12 | Wong, Christina W. Y. | 14 | Thai, Vinh V. | 6.2 | Lai, Kee-hung | 9.2 |
13 | Yang, Zhongzhen | 11 | Yang, Yi-Chih | 6.0 | Zhu, Wenbin | 8.9 |
14 | Lee, Loo Hay | 11 | Yang, Ching-Chiao | 4.3 | Zhen, Lu | 7.0 |
15 | Zhu, Wenbin | 11 | Zhu, Wenbin | 4.0 | Yang, Yi-Chih | 6.4 |
16 | Fu, Xiaowen | 10 | Lee, Chung-Yee | 3.9 | Thai, Vinh V. | 6.1 |
17 | Thai, Vinh V. | 10 | Wong, Christina W. Y. | 3.7 | Lee, Loo Hay | 5.5 |
18 | Lee, Chung-Yee | 10 | Chao, Shih-Liang | 3.7 | Chao, Shih-Liang | 5.2 |
19 | Liu, Liming | 10 | Yang, Zhongzhen | 3.5 | Yang, Ching-Chiao | 5.1 |
20 | Xu, Zhou | 8 | Wang, Dong-Hua | 3.5 | Wong, Christina W. Y. | 5.1 |
| ||||||
21 | Cao, Jin Xin | 8 | Xu, Zhou | 3.3 | Wang, Dong-Hua | 5.0 |
22 | Yang, Yi-Chih | 7 | Ho, Joshua | 3.0 | Ho, Joshua | 4.8 |
23 | Yang, Ching-Chiao | 7 | Chen, Lu | 3.0 | Zheng, Jianfeng | 4.8 |
24 | Chen, Gang | 7 | Zhen, Lu | 3.0 | Lin, Dung-Ying | 4.7 |
25 | Wang, Tingsong | 7 | Lee, Loo Hay | 2.9 | Wu, Wei-Ming | 4.4 |
26 | Fan, Lixian | 7 | Liu, Liming | 2.7 | Shiau, Tzay-An | 4.3 |
27 | Qu, Xiaobo | 6 | Hsu, Wen-Kai K. | 2.7 | Zhu, Ling | 3.9 |
28 | Jin, Jian Gang | 6 | Zhang, Abraham | 2.7 | Lee, Yusin | 3.8 |
29 | Shang, Kuo-Chung | 6 | Chen, Gang | 2.6 | Fu, Xiaowen | 3.7 |
30 | Chao, Shih-Liang | 6 | Wu, Wei-Ming | 2.5 | Chen, Lu | 3.7 |
| ||||||
31 | Feng, Cheng-Min | 5 | Wang, Tingsong | 2.4 | Chen, Gang | 3.7 |
32 | Huang, Dao-Zheng | 5 | Shiau, Tzay-An | 2.3 | Liu, Liming | 3.7 |
33 | Li, Yi-Zhou | 5 | Shang, Kuo-Chung | 2.3 | Yang, Zhongzhen | 3.5 |
34 | Tseng, Po-Hsing | 5 | Feng, Cheng-Min | 2.3 | Wu, Yen-Chun Jim | 3.4 |
35 | Du, Yuquan | 5 | Chen, Shun | 2.3 | Tang, Loon Ching | 3.4 |
36 | Wang, Hua | 5 | Sheu, Jiuh-Biing | 2.3 | Xu, Zhou | 3.4 |
37 | Chen, Lu | 5 | Fu, Xiaowen | 2.2 | Wei, Lijun | 3.3 |
38 | Chen, Shun | 5 | Fan, Lixian | 2.2 | Hsu, Wen-Kai K. | 3.0 |
39 | Liu, Xin | 5 | Lin, Dung-Ying | 2.2 | Wang, Hua | 3.0 |
40 | Yang, Dong | 4 | Tseng, Po-Hsing | 2.2 | Cao, Jin Xin | 3.0 |
| ||||||
41 | Wang, Xinchang | 4 | Chu, Hsing-Chung | 2.0 | Weng, Jinxian | 3.0 |
42 | Zheng, Jianfeng | 4 | Wan, Yulai | 2.0 | Zhang, Abraham | 3.0 |
43 | Hsu, Wen-Kai K. | 4 | Song, YH | 2.0 | Wang, Tingsong | 2.9 |
44 | Weng, Jinxian | 4 | Jin, Jian Gang | 2.0 | Jin, Bo | 2.9 |
45 | Cao, Zhi | 4 | Zeng, Qingcheng | 2.0 | Jin, Jian Gang | 2.9 |
46 | Zhang, Abraham | 4 | Zheng, Jianfeng | 1.9 | Shang, Kuo-Chung | 2.9 |
47 | Lee, Tsung-Chen | 4 | Laih, Chen-Hsiu | 1.8 | Ku, Kuo-Cheng | 2.8 |
48 | Wang, Dong-Hua | 4 | Jane, Chin-Chia | 1.8 | Jane, Chin-Chia | 2.8 |
49 | Li, Wenkai | 4 | Weng, Jinxian | 1.8 | Liu, Xin | 2.8 |
50 | Wei, Lijun | 4 | Lee, Tsung-Chen | 1.8 | Yang, Chih-Te | 2.8 |
Looking into the dynamic change of author rankings by impact score method every five years (Table
Dynamics of author ranking.
Rank | Author | Impact score (2000-2005) | Author | Impact score (2006-2010) | Deviation | Author | Impact score (2011-2015) | Deviation |
---|---|---|---|---|---|---|---|---|
1 | Lu, Chin-Shan | 1.7 | Lu, Chin-Shan | 8.0 | ▲0 | Meng, Qiang | 37.2 | ▲8 |
2 | Song D.-W. | 1.4 | Ho, Joshua | 4.8 | - | Lam, Jasmine Siu Lee | 20.1 | ▲14 |
3 | Song, YH | 1.4 | Lee, Der-Horng | 4.7 | - | Luo, Meifeng | 11.8 | ▲81 |
4 | Wang J.J. | 1.3 | Lun, Y. H. Venus | 3.9 | - | Lee, Paul Tae-Woo | 10.4 | ▲51 |
5 | Ting, Shih-Chan | 1.1 | Thai, Vinh V. | 3.5 | - | Lee, Chung-Yee | 9.8 | - |
6 | Wu, Yen-Chun Jim | 1.0 | Lee, Yusin | 2.8 | - | Lim, Andrew | 9.6 | ▲2 |
7 | Lirn, Taih-Cherng | 1.0 | Jane, Chin-Chia | 2.5 | ▲49 | Lun, Y. H. Venus | 9.3 | ▼3 |
8 | Wang, Zijian | 1.0 | Lim, Andrew | 2.4 | ▲60 | Zhu, Wenbin | 8.7 | ▲128 |
9 | Cullinane K. | 0.9 | Meng, Qiang | 2.3 | - | Cheng, T. C. E. | 8.3 | ▲3 |
10 | Lu H. | 0.9 | Tang, Shao-Long | 2.3 | - | Yip, Tsz Leung | 8.1 | ▲8 |
| ||||||||
11 | Cheung, Raymond K. | 0.9 | Yang, Ching-Chiao | 2.3 | - | Zhen, Lu | 7.0 | - |
12 | Liao, WJ | 0.9 | Cheng, T. C. E. | 2.1 | ▲46 | Lai, Kee-hung | 6.7 | ▲10 |
13 | Chin-Shan, L | 0.8 | Hong, Junjie | 2.1 | - | Lee, Der-Horng | 5.8 | ▼10 |
14 | Ng, WC | 0.8 | Yan, Shangyao | 2.1 | - | Lee, Loo Hay | 5.1 | ▲99 |
15 | Cheng, XZ | 0.8 | Chao, Shih-Liang | 2.0 | - | Wang, Dong-Hua | 5.0 | - |
16 | Chu, CY | 0.8 | Lam, Jasmine Siu Lee | 2.0 | ▲48 | Zheng, Jianfeng | 4.8 | - |
17 | Lee, Paul Tae-Woo | 0.8 | Wu, Wei-Ming | 2.0 | - | Lu, Chin-Shan | 4.8 | ▼16 |
18 | Lai, Kee-hung | 0.7 | Yip, Tsz Leung | 2.0 | - | Lin, Dung-Ying | 4.7 | - |
19 | Fung K.F. | 0.7 | Yang, Yi-Chih | 1.9 | - | Yang, Yi-Chih | 4.6 | ▲0 |
20 | Xin S. | 0.7 | Hsu, Wen-Kai K. | 1.9 | - | Shiau, Tzay-An | 4.3 | - |
| ||||||||
21 | Wu, Bing | 0.7 | Liao, Chun-Hsiung | 1.7 | - | Zhu, Ling | 3.9 | - |
22 | Chen, Lu | 0.7 | Lai, Kee-hung | 1.7 | ▼4 | Wong, Christina W. Y. | 3.9 | ▲14 |
23 | Zhang, CQ | 0.7 | Xie, Xinlian | 1.7 | - | Fu, Xiaowen | 3.4 | ▲107 |
24 | Cheung R.K. | 0.6 | Cao, Jin Xin | 1.7 | - | Liu, Liming | 3.2 | ▲77 |
25 | Luo, Meifeng | 0.6 | Tsai, MC | 1.6 | ▲5 | Chao, Shih-Liang | 3.2 | ▼10 |
26 | Liu, ST | 0.6 | Wei, Lijun | 1.6 | - | Wang, Hua | 3.0 | - |
27 | Sheu, Jiuh-Biing | 0.6 | Loo, Becky P. Y. | 1.5 | - | Weng, Jinxian | 3.0 | - |
28 | Lee, CC | 0.5 | Feng, Cheng-Min | 1.5 | - | Zhang, Abraham | 3.0 | - |
29 | Lu, Hao-Chun | 0.5 | He, Junliang | 1.4 | - | Jin, Bo | 2.9 | - |
30 | Tsai, MC | 0.5 | Wu, Jie | 1.4 | - | Jin, Jian Gang | 2.9 | - |
| ||||||||
31 | Ren, XF | 0.5 | Wang, James J. | 1.3 | - | Yang, Ching-Chiao | 2.9 | ▼20 |
32 | Lu, Qing-Chang | 0.5 | Wu, Yen-Chun Jim | 1.3 | ▼26 | Ku, Kuo-Cheng | 2.8 | - |
33 | Damachi B.B. | 0.5 | Sheu, Jiuh-Biing | 1.3 | ▼6 | Yang, Chih-Te | 2.8 | - |
34 | Chou C.-C. | 0.5 | Yang, Zhongzhen | 1.2 | - | Tang, Loon Ching | 2.7 | ▲44 |
35 | Zeng Z. | 0.5 | Wong, Wai Hung | 1.2 | - | Wang, Tingsong | 2.7 | ▲106 |
36 | Newman D. | 0.5 | Wong, Christina W. Y. | 1.2 | - | Du, Yuquan | 2.7 | - |
37 | Chou T.-Y. | 0.5 | Yang, Tingting | 1.1 | - | Wang, Haizhuang | 2.7 | - |
38 | Huang, Chu-Hsiang | 0.5 | Chen, Gang | 1.1 | - | Chang, Yen-Chiang | 2.6 | - |
39 | He, ZW | 0.4 | Chiu, Rong-Her | 1.1 | - | Lin, Cherng-Yuan | 2.6 | - |
40 | Zhang, Yu | 0.4 | Xu, Zhou | 1.1 | - | Lyons, Youna | 2.6 | - |
| ||||||||
41 | Shang, Kuo-Chung | 0.4 | Huang, Huei-Chuen | 1.1 | - | Huang, Jie | 2.6 | - |
42 | Chung, RK | 0.4 | Zhao, Yonggan | 1.1 | - | Qin, Hu | 2.6 | - |
43 | Fung, MK | 0.4 | Yeung A.C.L. | 1.1 | ▲22 | Thai, Vinh V. | 2.6 | ▼38 |
44 | Chen, Tao | 0.4 | Han, Xiao-le | 1.1 | - | Zheng, Shiyuan | 2.6 | - |
45 | Ding J.-F. | 0.4 | Li, Jianxiang | 1.1 | - | Qu, Xiaobo | 2.6 | - |
46 | Chen Y.-S. | 0.4 | Tseng, Po-Hsing | 1.1 | - | Chen, Gang | 2.6 | ▼8 |
47 | Lin C.T. | 0.4 | Chang, Daofang | 1.0 | - | Huang, Wenqi | 2.5 | - |
48 | Lu B.Z. | 0.4 | Guo, Jifu | 1.0 | - | Liu, Ta-Kang | 2.5 | - |
49 | Xie X. | 0.4 | Tang, Ching-Hui | 1.0 | - | Yang, Dong | 2.5 | - |
50 | Nir A.-S. | 0.4 | Hsiao, Yu-Cheng | 1.0 | - | Fan, Lixian | 2.5 | ▲101 |
Next, rankings by affiliation are listed in Table
Rankings by affiliation.
Rank | Affiliation | No. of papers | Affiliation | Weighted score | Affiliation | Impact score |
---|---|---|---|---|---|---|
1 | The Hong Kong Polytechnic University | 176 | The Hong Kong Polytechnic University | 99.9 | National University of Singapore | 136.2 |
2 | National University of Singapore | 157 | National University of Singapore | 87.5 | The Hong Kong Polytechnic University | 125.6 |
3 | National Taiwan Ocean University | 69 | National Taiwan Ocean University | 40.7 | Nanyang Technological University | 53.5 |
4 | Shanghai Jiao Tong University | 64 | Nanyang Technological University | 39.3 | National Taiwan Ocean University | 51.8 |
5 | Nanyang Technological University | 60 | Shanghai Jiao Tong University | 35.3 | National Cheng Kung University | 43.0 |
6 | Dalian Maritime University | 43 | National Cheng Kung University | 27.9 | Shanghai Jiao Tong University | 33.6 |
7 | Hong Kong University of Science and Technology | 43 | Dalian Maritime University | 22.7 | Hong Kong University of Science and Technology | 33.3 |
8 | National Cheng Kung University | 41 | Hong Kong University of Science and Technology | 20.9 | Dalian Maritime University | 30.7 |
9 | City University of Hong Kong | 34 | National Kaohsiung Marine University | 18.5 | City University of Hong Kong | 23.7 |
10 | The University of Hong Kong | 29 | The University of Hong Kong | 16.8 | National Kaohsiung Marine University | 21.8 |
| ||||||
11 | National Kaohsiung Marine University | 27 | City University of Hong Kong | 12.7 | The University of Hong Kong | 20.9 |
12 | Tsinghua Univ | 25 | Kainan Univ | 12.4 | Beijing Jiaotong University | 18.9 |
13 | Kainan Univ | 23 | National Chiao Tung University | 10.8 | Shanghai University | 18.0 |
14 | Beijing Jiaotong University | 23 | Chinese Univ Hong Kong | 9.9 | Shanghai Maritime Univ | 16.0 |
15 | Chinese Acad Sci | 22 | Shanghai Maritime Univ | 9.5 | Kainan Univ | 15.6 |
16 | Chinese Univ Hong Kong | 21 | Shanghai University | 9.2 | Huazhong University of Science & Technology | 13.7 |
17 | Shanghai Maritime Univ | 18 | Beijing Jiaotong University | 9.1 | Chinese Univ Hong Kong | 13.1 |
18 | National Chiao Tung University | 18 | Tsinghua Univ | 8.8 | National Chiao Tung University | 11.7 |
19 | Shanghai University | 17 | Huazhong University of Science & Technology | 7.7 | Tsinghua Univ | 11.2 |
20 | Soochow Univ | 15 | Chinese Acad Sci | 7.6 | Chinese Acad Sci | 11.2 |
| ||||||
21 | Tongji Univ | 15 | National Central University | 6.7 | S China Univ Technol | 10.2 |
22 | Huazhong University of Science & Technology | 14 | Natl Chung Hsing Univ | 6.0 | Natl Sun Yat Sen Univ | 9.3 |
23 | S China Univ Technol | 12 | Natl Sun Yat Sen Univ | 5.6 | Soochow Univ | 8.7 |
24 | Ocean Univ China | 12 | Soochow Univ | 5.4 | Northeastern Univ | 8.4 |
25 | Xiamen Univ | 11 | S China Univ Technol | 5.2 | Wuhan Univ Technol | 8.1 |
26 | National Taiwan University | 11 | National Taiwan University | 5.0 | National Central University | 8.0 |
27 | National Central University | 10 | Northeastern Univ | 4.7 | Natl Chung Hsing Univ | 7.7 |
28 | Natl Sun Yat Sen Univ | 10 | Tianjin Univ | 4.7 | Ocean Univ China | 7.1 |
29 | Wuhan Univ Technol | 9 | Singapore Management Univ | 4.3 | Hong Kong Baptist Univ | 7.0 |
30 | Dalian Univ Technol | 9 | Tongji Univ | 4.3 | Natl Kaohsiung First Univ Sci & Technol | 6.8 |
| ||||||
31 | Lingnan Univ | 9 | Wuhan Univ Technol | 4.2 | Tongji Univ | 6.6 |
32 | Natl Kaohsiung First Univ Sci & Technol | 9 | Zhejiang Univ | 4.2 | Nanjing Univ | 6.2 |
33 | Singapore Management Univ | 9 | Natl Kaohsiung First Univ Sci & Technol | 4.2 | Univ Int Business & Econ | 6.1 |
34 | Southeast Univ | 9 | Xiamen Univ | 3.9 | Sun Yat Sen Univ | 6.0 |
35 | Xidian Univ | 9 | Univ Int Business & Econ | 3.7 | Minghsin Univ Sci & Technol | 6.0 |
36 | Univ Int Business & Econ | 8 | Natl Taipei Univ | 3.7 | Xiamen Univ | 5.7 |
37 | Nanjing Univ | 8 | Southeast Univ | 3.6 | Zhejiang Univ | 5.5 |
38 | Northeastern Univ | 8 | Dalian Univ Technol | 3.6 | Singapore Management Univ | 5.2 |
39 | Minghsin Univ Sci & Technol | 8 | Ocean Univ China | 3.2 | Lingnan Univ | 5.1 |
40 | Chang Jung Christian Univ | 7 | Univ Sci & Technol China | 3.2 | Natl Taipei Univ | 4.4 |
| ||||||
41 | Sun Yat Sen Univ | 7 | Sun Yat Sen Univ | 3.2 | Nankai Univ | 4.2 |
42 | Tianjin Univ | 7 | Xidian Univ | 3.1 | Natl Tsing Hua Univ | 4.1 |
43 | Zhejiang Univ | 7 | Minghsin Univ Sci & Technol | 3.0 | Univ Sci & Technol China | 4.1 |
44 | Natl Taipei Univ | 6 | Hong Kong Baptist Univ | 2.9 | Xidian Univ | 3.9 |
45 | Univ Sci & Technol China | 6 | Lingnan Univ | 2.9 | Univ Nottingham Ningbo China | 3.8 |
46 | Nankai Univ | 6 | Natl Dong Hwa Univ | 2.8 | Tianjin Univ | 3.8 |
47 | Southwest Jiaotong Univ | 6 | Chang Jung Christian Univ | 2.7 | Ling Tung Univ | 3.7 |
48 | Natl Chung Hsing Univ | 6 | Shandong Univ | 2.7 | Shanghai Second Polytech Univ | 3.6 |
49 | Hong Kong Baptist Univ | 5 | Nankai Univ | 2.6 | Shandong Univ | 3.4 |
50 | Natl Dong Hwa Univ | 5 | Natl Tsing Hua Univ | 2.3 | National Taiwan University | 3.4 |
Stepwise regression analysis reported that only the dummy variables for country and major were statistically significant among the initially considered variables. Although the field of economics, engineering, management, and OR are not representative of all social sciences, they are presumably classified as the most representative and comprehensive majors in this research. Because country and major variables are all dummy variables, we used the two-way ANOVA to estimate the effect of explanatory variables on the impact score. The ANOVA is a statistical method to identify whether there are significant differences among sample groups. Before conducting two-way ANOVA on the data set, the Bonferroni test was conducted to identify extraordinary observations (researcher) that can affect the significance of the model. In Table
Two-way ANOVA analysis estimates.
df | Sum sq | F-value | P-value | |
---|---|---|---|---|
Country | 3 | 186.0 | 10.514 | <0.000 |
Major | 4 | 217.0 | 9.199 | <0.000 |
Country | 8 | 217.0 | 4.615 | 0.001 |
Residuals | 29 | 165.1 | ||
| ||||
Bonferroni p | <0.000 |
Significance codes: 0 “
Residual Plots.
Based on the Figure
Impact score by country and major in boxplot.
The right side of Figure
The Chinese government has long envisioned raising the standard of key universities to eminent world status. To this end, they formulated two policies: Project 211 in 1993 to build 100 key universities and Project 985 in 1998 to develop world class universities in 20 years. Almost two decades have passed since the implementation of the policies and billions of dollars have been invested. Our research team earlier conducted a study on the top 50 authors, schools, and countries in maritime research. The world’s top two universities in the maritime research arena are HKPU and NUS, which have competed with each other to be the top school. Reviewing universities in the mainland, four are listed in the world rankings: SJTU, DMU, BJU, and Shanghai University. Of these, SJTU leads, ranking
In order to get a better perspective on the low world rankings of mainland China’s affiliations in maritime research, their contributions to journals and their share in the world total based on impact scores were calculated. The number of maritime research papers in the world increased ninefold between 2000 and 2015 and the counterpart papers published in China increased fifteenfold. As shown in Figure
Contribution of Countries to Maritime Academia.
This paper examined the top 50 authors and affiliations in China in the field of maritime transportation in comparison with their world ranking. Major findings can be summarized as follows: First, HKPU and NUS are the two leading universities, not only in the Chinese league, but also in the world league. Second, as for the top ten institutions in China, four institutions from Hong Kong join this tier, namely: HKPU, Hong Kong University of Science and Technology, City University of Hong Kong, and the University of Hong Kong. Two universities join the league from each of the remaining economies: NUS and NTU from Singapore; NTOU and National Cheng Kung University from Chinese Taipei; and SJTU and Dalian Maritime University (DMU) from mainland China. Third, four universities from mainland China are listed in the world rankings, namely: SJTU, DMU, BJU, and Shanghai University. Of these, SJTU is the most productive, ranking
See Table
65 journals selected.
No. | Journal |
---|---|
1 | ACCIDENT ANALYSIS AND PREVENTION |
2 | COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING |
3 | EUROPEAN JOURNAL OF OPERATIONAL RESEARCH |
4 | EUROPEAN JOURNAL OF TRANSPORT AND INFRASTRUCTURE RESEARCH |
5 | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS |
6 | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY |
7 | IET INTELLIGENT TRANSPORT SYSTEMS |
8 | INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY |
9 | INTERNATIONAL JOURNAL OF ENGINE RESEARCH |
10 | INTERNATIONAL JOURNAL OF HEAVY VEHICLE SYSTEMS |
11 | INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT |
12 | INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS |
13 | INTERNATIONAL JOURNAL OF PHYSICAL DISTRIBUTION & LOGISTICS MANAGEMENT |
14 | INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS |
15 | INTERNATIONAL JOURNAL OF SHIPPING AND TRANSPORT LOGISTICS |
16 | INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION |
17 | INTERNATIONAL JOURNAL OF TRANSPORT ECONOMICS |
18 | INTERNATIONAL JOURNAL OF VEHICLE DESIGN |
19 | ITE JOURNAL-INSTITUTE OF TRANSPORTATION ENGINEERS |
20 | JOURNAL OF ADVANCED TRANSPORTATION |
21 | JOURNAL OF AIR TRANSPORT MANAGEMENT |
22 | JOURNAL OF BUSINESS LOGISTICS |
23 | JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS |
24 | JOURNAL OF PUBLIC TRANSPORTATION |
25 | JOURNAL OF SAFETY RESEARCH |
26 | JOURNAL OF SUPPLY CHAIN MANAGEMENT |
27 | JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY |
28 | JOURNAL OF TRANSPORT & HEALTH |
29 | JOURNAL OF TRANSPORT AND LAND USE |
30 | JOURNAL OF TRANSPORT ECONOMICS AND POLICY |
31 | JOURNAL OF TRANSPORT GEOGRAPHY |
32 | JOURNAL OF TRANSPORTATION ENGINEERING-ASCE |
33 | MARINE POLICY |
34 | MARITIME ECONOMICS & LOGISTICS |
35 | MARITIME POLICY & MANAGEMENT |
36 | MOBILITIES |
37 | NAVAL RESEARCH LOGISTICS |
38 | NETWORKS & SPATIAL ECONOMICS |
39 | OCEAN & COASTAL MANAGEMENT |
40 | OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE |
41 | OPTIMIZATION LETTERS |
42 | PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-TRANSPORT |
43 | PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D |
44 | PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F |
45 | PROMET-TRAFFIC & TRANSPORTATION |
46 | RESEARCH IN TRANSPORTATION BUSINESS AND MANAGEMENT |
47 | RESEARCH IN TRANSPORTATION ECONOMICS |
48 | ROAD & TRANSPORT RESEARCH |
49 | TRAFFIC INJURY PREVENTION |
50 | TRANSPORT POLICY |
51 | TRANSPORT REVIEWS |
52 | TRANSPORTATION |
53 | TRANSPORTATION JOURNAL |
54 | TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH |
55 | TRANSPORTATION PLANNING AND TECHNOLOGY |
56 | TRANSPORTATION QUARTERLY |
57 | TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE |
58 | TRANSPORTATION RESEARCH PART B-METHODOLOGICAL |
59 | TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES |
60 | TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT |
61 | TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW |
62 | TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR |
63 | TRANSPORTATION RESEARCH RECORD |
64 | TRANSPORTATION SCIENCE |
65 | TRANSPORTMETRICA A-TRANSPORT SCIENCE |
The data used to support the findings of this study are available from the corresponding author upon request.
The authors declare that they have no conflicts of interest.