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Article
Publication date: 20 September 2011

T. Bhavan, Changsheng Xu and Chunping Zhong

South Asia has been an important destination of foreign aid over the past decades. Since a large part of aid is disbursed for social and economic infrastructure development in…

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Abstract

Purpose

South Asia has been an important destination of foreign aid over the past decades. Since a large part of aid is disbursed for social and economic infrastructure development in South Asian countries, and the volume of aid has tremendously increased in recent years, the purpose of this study is to investigate how far various categories of foreign aid affects economic growth rate in these countries. In addition, as the trend of each category of aid transfer appears to have been volatile, this study also investigates whether the volatilities inhibit growth rate in these countries.

Design/methodology/approach

In this study, South Asia refers to India, Bangladesh, Pakistan and Sri Lanka. The Random effects approach is employed incorporating panel data for the period of 1995‐2008. The aggregate foreign aid is classified into various categories to have a comprehensive investigation.

Findings

Foreign aid positively associated with growth whereas the volatility of aid hurts it. Long‐impact aid promotes growth more than short‐impact aid does. The volatility of short‐impact aid hurts growth, whereas the volatility of long‐impact aid has no effect on it. Pure aid and its volatility have no effect on growth.

Originality/value

This study has identified the structure of foreign aid disbursed in these countries, and explored how far each category and respective volatility affects growth. These findings would be useful to the scholars and policy makers in the recipient countries as well as donors, to make foreign aid much more effective in future.

Details

International Journal of Development Issues, vol. 10 no. 3
Type: Research Article
ISSN: 1446-8956

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Article
Publication date: 16 December 2024

Yuqi Zhang, Xue Chen and Chunping Tan

This paper aims to understand how quantum leaders influence employee work behavior through effective tasks.

26

Abstract

Purpose

This paper aims to understand how quantum leaders influence employee work behavior through effective tasks.

Design/methodology/approach

In this study, 516 questionnaires were collected using the interval data method to explore the triggering mechanisms and paths of emerging quantum leadership on constructive deviance.

Findings

The findings indicate that quantum leadership promotes constructive deviance through facilitating recovery experience (affective path), job crafting (task path) and the chained mediation path between the two. Additionally, the moderating effect of openness to experience strengthens the pathways between quantum leadership and recovery experience, and between quantum leadership and job crafting.

Research limitations/implications

This study focuses closely on the mechanism of leadership behavior on employees, neglecting the psychological state and behavior of the leader as a key resource element in the work environment. Quantum leadership emphasizes value-bound characteristics, so the role played by quantum leaders may vary in different cultures and values.

Practical implications

First, this study calls for the organizational management focusing on the advantages of quantum leadership thinking and its positive effects in practice. Second, the mediating mechanisms of recovery experience and job crafting provide insights into how quantum leadership can be used to enhance constructive deviance. Third, this study elucidates how individual responses to organizational environment and leadership style vary in management practices. Our study helps managers better understand how individual characteristics, such as openness to experience, influence managerial behavior.

Social implications

This study enriches the qualitative research on emerging “quantum” perspectives of leadership, expands the mechanism of employee constructive deviance and highlights the need for organizations to take measures that encourage constructive deviance by their employees, as this can lead to high-quality and long-term growth.

Originality/value

Based on conservation of resources theory, authors revealed the mechanisms by which quantum leadership influences employees’ constructive deviance, confirming the mediating role of recovery experience and job crafting as well as the moderating role of openness to employee experience. We explored the moderating mechanisms of the individual trait of openness to experience in the quantum leadership-to-job crafting and the recovery experience-to-job crafting.

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: 5 December 2024

Guozhen Liu, Liu Wang, Chuang Liu, Pengfei Bai, Tieming Liu, Chunping Wei and Zhang Yi

This study aims to investigate the sealing performance of reciprocating seals under the effect of rubber abrasion using ABAQUS simulation software, and to propose a prediction…

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Abstract

Purpose

This study aims to investigate the sealing performance of reciprocating seals under the effect of rubber abrasion using ABAQUS simulation software, and to propose a prediction framework based on a hybrid algorithm (GA-PSO-BPNN) to predict the leakage of reciprocating seals of downhole gauging instrumentation under different working condition parameters.

Design/methodology/approach

The authors combined the UMESHMOTION user program with the improved Archard wear model to investigate reciprocating seal performance. GA and a PSO were proposed as ways to enhance the BPNN’s predictive model.

Findings

The results show that the impact of fluid pressure fluctuations on the wear of the seal lip is more pronounced during the rapid wear phase compared to the steady wear phase. Similarly, variations in compression rate have a greater impact on seal lip wear at different stages of wear. The GA-PSO-BPNN prediction model outperforms the single-prediction model in terms of prediction accuracy.

Originality/value

The authors investigated sealing performance through simulation software and propose a GA-PSO-BPNN-based fault diagnosis method for rotating machinery. To verify the accuracy of the prediction model, a reciprocating sealing test platform for gauge work cylinders is constructed.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-08-2024-0293/

Details

Industrial Lubrication and Tribology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0036-8792

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Article
Publication date: 24 March 2021

Zishuo Han, Chunping Wang and Qiang Fu

The purpose of this paper is to use the most popular deep learning algorithm to complete the vehicle detection in the urban area of MiniSAR image, and provide reliable means for…

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Abstract

Purpose

The purpose of this paper is to use the most popular deep learning algorithm to complete the vehicle detection in the urban area of MiniSAR image, and provide reliable means for ground monitoring.

Design/methodology/approach

An accurate detector called the rotation region-based convolution neural networks (CNN) with multilayer fusion and multidimensional attention (M2R-Net) is proposed in this paper. Specifically, M2R-Net adopts the multilayer feature fusion strategy to extract feature maps with more extensive information. Next, the authors implement the multidimensional attention network to highlight target areas. Furthermore, a novel balanced sampling strategy for hard and easy positive-negative samples and a global balanced loss function are applied to deal with spatial imbalance and objective imbalance. Finally, rotation anchors are used to predict and calibrate the minimum circumscribed rectangle of vehicles.

Findings

By analyzing many groups of experiments, the validity and universality of the proposed model are verified. More importantly, comparisons with SSD, LRTDet, RFCN, DFPN, CMF-RCNN, R3Det, SCRDet demonstrate that M2R-Net has state-of-the-art detection performance.

Research limitations/implications

The progress in the field of MiniSAR application has been slow due to strong speckle noise, phase error, complex environments and a low signal-to-noise ratio. In addition, four kinds of imbalances, i.e. spatial imbalance, scale imbalance, class imbalance and objective imbalance, in object detection based on the CNN greatly inhibit the optimization of detection performance.

Originality/value

This research can not only enrich the means of daily traffic monitoring but also be used for enemy intelligence reconnaissance in wartime.

Details

Engineering Computations, vol. 38 no. 7
Type: Research Article
ISSN: 0264-4401

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