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Institution

College of Management and Economics

About: College of Management and Economics is a based out in . It is known for research contribution in the topics: Supply chain & Stock market. The organization has 2184 authors who have published 2193 publications receiving 28830 citations.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors developed a model in which an OEM and its competitive contract manufacturers compete through three game sequences: the simultaneous game, the CCM-as-leader game and the OEM-as leader game.

19 citations

Journal ArticleDOI
TL;DR: In this article, the authors employ extreme Bitcoin returns as exogenous shock events to investigate the impact of investor attention allocation on worldwide stock return comovement and find that these shock events decrease worldwide stock returns and there is an asymmetric effect in which a crash shock event has a greater impact on return coovement than a jump shock event.

19 citations

Journal ArticleDOI
TL;DR: This paper proposes an optimal burn-in strategy for repairable products sold with a two-dimensional base warranty (BW) and an optional extended warranty (EW) and develops performance-based and cost-based models incorporating PMs to minimise the expected number of warranty claims and total cost respectively.
Abstract: Burn-in and preventive maintenance (PM) are effective approaches to reduce the number of warranty claims and warranty cost during post-sale support. With harsher burn-in settings, early product def...

19 citations

Journal ArticleDOI
TL;DR: Wang et al. as discussed by the authors proposed a carbon emission quota allocation scheme in China in 2030 based on entropy method, the Super-SBM (super-slack-based measure) model and ZSG-DEA (zero sum gains DEA) model.
Abstract: Allocation of carbon emission quotas is a primary part for carbon trading market to mitigate carbon emission, and there is no unified carbon emission allocation scheme in China at provincial level now. The researches on allocation of carbon emission quotas ignored the difference among the efficiency values of effective provinces, and few researches considered the reduction potentiality. This paper aimed at proposing a carbon emission quota allocation scheme in China in 2030 based on entropy method, the Super-SBM (super-slack-based measure) model and ZSG-DEA (zero sum gains DEA) model. Different from the existing researches, Super-SBM model can help effectively distinguish every efficiency value, making the allocation results more exact and efficient. And considering reduction potentiality calculated by ZSG-DEA model, the allocation results could be more feasible. The result shows that: (1) The carbon emission quota allocation scheme is tested to be feasible with validity and fairness. Economic development level and carbon emission efficiency are the main contributors to carbon emission quota allocation, consisting with China’s current policy orientation of vigorously promoting the development of green ecological economy. (2) The carbon emission quotas decrease gradually from the southeast coastal area to the northwest area. Guangdong, Jiangsu, Shandong and Zhejiang obtain the highest carbon emission quotas, while Gansu, Qinghai, Ningxia and Xinjiang experience the lowest carbon emission quotas. (3) Carbon emission quota surplus is witnessed in 15 of the 30 provinces including Beijing, Guangdong, Shanghai, etc. Hebei, Jilin, Gansu and Heilongjiang take the larger pressure of carbon emission reduction. The different reasons for carbon emission quota surplus and carbon emission reduction pressure suggest that common but differentiated strategies should be provided in front of carbon emission quota allocation and reduction pressure and regional coordinated development should be promoted.

19 citations

Journal ArticleDOI
TL;DR: Wang et al. as mentioned in this paper investigated the learning effects of different technological channels on CO2 emissions at the national and regional levels using panel data of China's 29 provinces from 1997 to 2014.
Abstract: Technological advancement plays a crucial role in CO2 emissions mitigation and has attracted great attention around the world A multitude of literatures mainly focused on single technological impact on environmental issues at national level, while comprehensive studies concerning technological factors at regional level are rare This paper employs environmental learning curve model to investigate the learning effects of different technological channels on CO2 emissions at the national and regional levels using panel data of China’s 29 provinces from 1997 to 2014 The technological advancement is disaggregated into indigenous research and development (R&D), foreign technology import and technological revolution Furthermore, to comprehend the characteristics of various provinces with regard to CO2 emissions and emission efficiency, China’s 29 provinces are divided into four regions according to the features of “CO2 emissions-efficiency” Empirically results manifest that technical renovation is the paramount driver to mitigate the national CO2 emissions The CO2 learning abilities of indigenous R&D in high emissions regions are greater than those in the low ones, while boosting the investment of foreign technology import in low emission regions has significantly positive impacts on CO2 emissions, and the technical renovation is effective in abating CO2 emissions in all regions The findings not only enrich technology innovation theories, but also deserve special attention from policymakers

19 citations


Authors

Showing all 2184 results

NameH-indexPapersCitations
Jian Zuo6052612698
Ying Fan5423610378
Justin Tan5211810076
ZhongXiang Zhang452716159
Ning Zhu431568509
Wenjun Wu391205485
Thanasis Stengos382496053
Baofeng Huo37997153
Patrick X.W. Zou351774205
Yejun Xu341113492
Yanan Wang342244108
Yongjian Li321043017
Yi Wu311492775
Wansheng Tang311923190
Xi Zhang301532418
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202223
2021466
2020326
2019321
2018218
2017210