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Case study
Publication date: 20 January 2017

Wei Li and Bidhan L. Parmar

Recently, the Indian Congress asked a distinguished committee of experts to analyze and make policy recommendations about India's Cooperative Financial Institutions…

Abstract

Recently, the Indian Congress asked a distinguished committee of experts to analyze and make policy recommendations about India's Cooperative Financial Institutions (CFIs), which included organizations such as credit unions and cooperative banks. One committee member, Mohan R. Narayan, a leading economist at a prestigious Indian university, was enthusiastic about the job; it was an opportunity to help millions of rural poor and to have a positive effect on the country. Some poor farmers, deeply in debts to money-lenders, had been reported to resort to committing suicide when they faced with draught or other catastrophes and saw little reason to continue living. Well-functioning CFIs would certainly help restore hope and boost income for the rural poor. But he knew the system had a long history of overregulation, financial laxity, and corruption. Creating an actionable and clear strategy would be no easy task. The case, written at the invitation of the World Bank to study the challenges of building inclusive financial system in emerging countries, invites students to discuss 1) The roles and responsibilities of financial institutions in poverty-reduction and economic development, 2) the benefits and risks of using public versus private institutions to aid development, and more specifically, 3) the economics of credit cooperatives—in particular how they function in an emerging market setting.

Details

Darden Business Publishing Cases, vol. no.
Type: Case Study
ISSN: 2474-7890
Published by: University of Virginia Darden School Foundation

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Case study
Publication date: 20 January 2017

Wei Li

The case has been used in a first-year required course called Global Economies and Markets in a module on monetary policy. On October 24, 2005, President Bush nominated…

Abstract

The case has been used in a first-year required course called Global Economies and Markets in a module on monetary policy. On October 24, 2005, President Bush nominated Ben S. Bernanke to be chairman of the board of governors of the Federal Reserve System for a term of four years along with a 14-year term on the board of governors. With the U.S. Senate confirmation widely anticipated, Bernanke was expected to take over stewardship of the U.S. monetary policy from Chairman Alan Greenspan when he retired in January 2006. While the U.S. economy was in good shape at the end of 2005, Bernanke had to prepare to deal with two challenges when charting a course for managing U.S. monetary policy. First, the sharp rise in energy prices that began in 2002 had the potential to bring back the specter of inflation and dampen desired consumer and business spending. Second, the housing boom could turn into a housing bust, throwing the mortgage industry into turmoil and weakening consumer business confidence. There was also the possibility that the housing bust could affect broader financial markets. Bernanke had to consider his options for dealing with contingencies in the not-so-distant future.

Details

Darden Business Publishing Cases, vol. no.
Type: Case Study
ISSN: 2474-7890
Published by: University of Virginia Darden School Foundation

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Article
Publication date: 2 August 2019

Chengtao Wang, Wei Li, Yuqiao Wang, Xuefeng Yang, Shaoyi Xu, Kunpeng Li and Yunyun Zhao

The purpose of this paper is to predict quantitative level of stray current leaking to the buried metallic structure by establishing convolution neural network (CNN) model.

Abstract

Purpose

The purpose of this paper is to predict quantitative level of stray current leaking to the buried metallic structure by establishing convolution neural network (CNN) model.

Design/methodology/approach

First, corrosion experimental system of buried metallic structure is established. The research object of this paper is the polarization potential within 110 min, CNN model is used to predict the quantitative level of stray current leakage using the data from corrosion experimental system further. Finally, results are compared with the method using BP neural network.

Findings

Results show that the CNN model has better predictive effect and shorter prediction time than the BP model, the accuracy of which is 82.5507 per cent, and the prediction time is shortened by more than 10 times.

Originality/value

The established model can be used to forecast the level of stray current leakage in the subway system effectively, which provides a new theoretical basis for evaluating the stray current corrosion hazard of buried metallic structure.

Details

Anti-Corrosion Methods and Materials, vol. 66 no. 4
Type: Research Article
ISSN: 0003-5599

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Article
Publication date: 30 September 2020

Jagannath Mallick and Atsushi Fukumi

This study aims to explain the role of globalisation on the regional income growth disparities in the states of India and provinces in the People’s Republic of China (PRC).

Abstract

Purpose

This study aims to explain the role of globalisation on the regional income growth disparities in the states of India and provinces in the People’s Republic of China (PRC).

Design/methodology/approach

The authors use two approaches to analyse regional growth disparities: growth accounting and the panel spatial Durbin model.

Findings

The growth accounting shows that contributions of growth of capital intensity (GKI) and total factor productivity growth (TFPG) distinguish the high-income (HI) regions from medium-income (MI) and lower-income (LI) regions in India. In the PRC, the contributions of GKI and TFPG in MI regions are slightly higher than HI regions, but significantly higher than the LI regions. The empirical results find that foreign direct investment (FDI), domestic investment, human capital, and interaction of FDI and human capital explain income growth states/provinces in India and the PRC. A region’s income growth and FDI inflows spread the benefit to neighbourhoods in both countries.

Originality/value

The paper contributes by performing a comparative analysis of Indian states and the PRC’s provinces by capturing the neighbourhood effects of economic growth, FDI, investment and human capital and also the interaction effects of FDI with human capital and domestic investment. A comparison of the decomposition of income growth to the growth of factor inputs and efficiency in Indian states and the PRC’s provinces also adds to the existing literature.

Details

Indian Growth and Development Review, vol. 14 no. 2
Type: Research Article
ISSN: 1753-8254

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Article
Publication date: 3 April 2017

Wei-Li Wu and Yi-Chih Lee

Knowledge sharing usually happens in a work group context, but it is rarely know how group leaders influence their members’ knowledge-sharing performance. Based on social…

Abstract

Purpose

Knowledge sharing usually happens in a work group context, but it is rarely know how group leaders influence their members’ knowledge-sharing performance. Based on social exchange theory (SET) and the perspective of positive organizational behavior (POB), this study aims to argue that a group leader’s positive leadership (e.g. empowering leadership) can help group members develop positive psychological capital which can increase their knowledge sharing.

Design/methodology/approach

The authors conduct a multilevel analysis to explore the interrelationship among empowering leadership, psychological capital and knowledge sharing. The sample includes 64 work groups consisting of 537 group members, and empirical testing is carried out by hierarchical linear modeling.

Findings

The results show that empowering leadership in a work group has a direct cross-level impact on members’ knowledge sharing and that psychological capital partially mediates the relationship between empowering leadership and knowledge sharing. As a result, this study shows that group leaders with positive leadership can help their members develop better positive psychological resources, which should lead to better knowledge sharing.

Originality/value

Based on the multilevel perspective and SET, this is the first study to explore how group leaders’ empowering leadership influences members’knowledge sharing. Depending on integrating the POB perspective into SET, this study is also the first one that connects two emerging and important research issues – POB and knowledge sharing.

Details

Journal of Knowledge Management, vol. 21 no. 2
Type: Research Article
ISSN: 1367-3270

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Abstract

Details

Energy Economics
Type: Book
ISBN: 978-1-78756-780-1

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Book part
Publication date: 15 November 2018

Yi-Ming Wei and Hua Liao

Abstract

Details

Energy Economics
Type: Book
ISBN: 978-1-78756-780-1

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Article
Publication date: 10 June 2021

Wei Liu, Jing Wei Li and Qi Wei Zhou

From a functionalist perspective, this study aims to examine empirically how positive and negative emotions can exert influence on creativity in the workplace. This study…

Abstract

Purpose

From a functionalist perspective, this study aims to examine empirically how positive and negative emotions can exert influence on creativity in the workplace. This study built and tested a theoretical framework that delineates the effect of emotions on employee creativity through different learning mechanisms.

Design/methodology/approach

Field surveys were conducted in a Chinese company and data were collected from 340 employee-supervisor dyads.

Findings

The results indicate that positive emotions were positively related to task-related learning and interactional learning, both of which promote employee creativity. Task-related learning mediated the association between positive emotions and creativity. Nevertheless, negative emotions hindered employees from interactional learning and were negatively associated with creativity. Interactional learning mediated the association between negative emotions and creativity. Moreover, the interaction between positive and negative emotions was negatively associated with task-related learning.

Originality/value

This study contributes to the literature on emotions and employee learning by demonstrating the value of using a functionalist perspective through different procedural mechanisms for employee outcomes and exploring the mediation effects of different learning behaviors in promoting creativity.

Details

Chinese Management Studies, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1750-614X

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Article
Publication date: 29 June 2020

Wei Qu, Huailiang Zhang, Wei Li, Ling Peng and Wenqian Sun

To improve the transmission efficiency and reduce the damage to pipes in the hydraulic systems of tunnel boring machine subjected to random vibration, this paper aims to…

Abstract

Purpose

To improve the transmission efficiency and reduce the damage to pipes in the hydraulic systems of tunnel boring machine subjected to random vibration, this paper aims to propose a novel dynamic characteristic analysis method that considers random vibration.

Design/methodology/approach

A fluid-structure interaction motion equation of the pipe is established by using Hamilton’s principle. The finite element method and discrete analysis method of random vibration are used to construct a model of the dynamic behavior of the pipe.

Findings

The influences of fluid parameters and external excitation parameters on the dynamic characteristics of pipes are analyzed. The experimental results are found to be in good agreement with the simulation results, which demonstrates that the proposed analytical method can provide a theoretical reference for the design and selection of hydraulic pipes subjected to random vibration.

Originality/value

The proposed method can be regarded as a future calculation method for pipes subjected to random vibration, and the transmission efficiency of the pipe can be improved.

Details

Engineering Computations, vol. 38 no. 3
Type: Research Article
ISSN: 0264-4401

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Article
Publication date: 4 October 2018

Hong wei Li, Hairong Zhu and Li Pan

To realize the operation optimizing of today’s distribution power system (DPS), like economic dispatch, contingency analysis, and reliability and security assessment etc.…

Abstract

Purpose

To realize the operation optimizing of today’s distribution power system (DPS), like economic dispatch, contingency analysis, and reliability and security assessment etc., it is beneficial and indispensable that a faster linear load flow method is adopted with a reasonable accuracy. Considering the high R/X branch ratios and unbalanced features of DPS, the purpose of this paper is to propose a faster and non-iterative linear load flow solution for DPS.

Design/methodology/approach

Based on complex function theory, the derivations of the injection current linear approximation have been proposed for the balanced and the single-, double- and three-phase unbalanced loads of DPS on complex plane. Then, a simple and direct linear load flow has been developed with loop-analysis theory and node-branch incidence matrix.

Findings

The methodology is appropriate for balanced and single-, double- and three-phase hybrid distribution system with different load models. It provides a fast and robust load flow method with a satisfactory accuracy to handle the problems of DPS whenever the load flow solutions are required.

Research limitations/implications

The distributed generators (DGs) with unity or fixed power factors can be easily included. But the power and voltage nodes cannot be dealt with directly and need to be further studied.

Originality/value

By combining the current linear approximation with the loop theory-based method, a new linear load flow method for DPS has been proposed. The method is valid and acute enough for balanced and unbalanced systems and has no convergent problems.

Details

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, vol. 38 no. 2
Type: Research Article
ISSN: 0332-1649

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