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.

Effect of local government decision-making competition on carbon emissions: Evidence from China's three urban agglomerations

Abstract: Analyzing the effect of local government decision‐making competition on regional carbon emissions is important for reducing carbon emissions in rapidly urbanizing areas. Taking the energy rebound effect into account, this study analyzes the effect on carbon emissions of competition between local governments in decision making. Focusing on China's three urban agglomerations, this study further discusses how to avoid this influence. The results show that local government decision‐making competition is one of the main causes of the regional “green paradox”; the effect of local government decision‐making competition on carbon emissions has significant regional heterogeneity and spatial dependence, and the short‐term energy rebound effect is greater than the long‐term energy rebound effect; and local government decision‐making competition has three effects on carbon emissions that also have interaction and substitution effects between them: factor market distortion, investment bias, and the “race to the bottom” of environmental policies. However, four measures can reduce the effect of local government decision‐making competition on carbon emissions: one, improving the performance evaluation system of local governments; two, promoting the marketization of factor prices; three, improving both the energy efficiency and upgrading of industrial structures; and four, introducing macro emission reduction policies that allow the central government to intervene directly.

Determining importance ratings of patients’ requirements with multi-granular linguistic evaluation information

Abstract: Determination of patients’ requirements (PRs) importance is a critical issue of medical service design. Quality function deployment (QFD) is one of the very effective customer-driven quality system tools typically applied to fulfil PRs. Often the patients cannot easily express their judgements on PRs’ importance with exact numerical values, and they usually present their judgements in different scales. Therefore, this paper aims at providing a systematic method to simultaneously deal with PRs’ fuzziness and multi-granularity in the QFD. Compared to previous research, its contribution is threefold. First, it proposes use of the 2-tuple linguistic model which can effectively manage the imprecise and vague evaluation information in QFD because of its accuracy and no information loss. Second, it develops a new 2-tuple transformation function to solve the unification problem of multi-granular linguistic judgements in QFD. Third, it proposes a qualitative approach to deal with uncertainty existed extensively in...