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Article
Publication date: 7 December 2023

Peihua Mao, Ji Xu, Xiaodan He and Yahong Zhou

The results of this study have significant policy implications for charting a new course toward enhancing agricultural productivity among Chinese farmers.

Abstract

Purpose

The results of this study have significant policy implications for charting a new course toward enhancing agricultural productivity among Chinese farmers.

Design/methodology/approach

By establishing a rural household decision-making model based on the transfer market of farmland operation rights, this paper systematically analyzes the effects of land transfer-in and land transfer-out on the productivity (per labor income) of rural households. The authors conducted basic regression analysis and robustness tests using propensity score-matching and proxy variable approaches based on the micro survey data from rural households in 30 counties in 21 provinces/municipalities/autonomous regions in 2013.

Findings

After the completion of land transfer, the total productivity of rural households transferring in lands will increase with an increase in the agricultural productivity; the total productivity of rural households transferring out land will increase due to a rise in non-agricultural productivity and the absolute total productivity of rural households not involved in land transfer will remain unchanged.

Originality/value

Unlike previous literature, this paper discusses the impacts of land transfer-in and transfer-out on total productivity, agricultural productivity and non-agricultural productivity among various rural households (i.e. those transferring in land, transferring out land or which are self-sufficient).

Article
Publication date: 27 August 2019

Zheng Fan, Xiner Tong, Peihua Fan and Qingli Fan

This study aims to build an indigenous Chinese management model based on Chinese culture.

Abstract

Purpose

This study aims to build an indigenous Chinese management model based on Chinese culture.

Design/methodology/approach

This study adopts new institutionalism as its theoretical foundation, examines the core values of Chinese civilization in retrospect and identifies the key features of a Chinese management model. In this study, the authors develop a “glacier model” and test its reliability with the Haier Group.

Findings

This study proposes a new definition for a management model: a knowledge system based on institutional civilization that reflects management theory and practice. It analyzes the institutional environment of Chinese civilization: the recessive bottom-most layers are CBTLG (Confucianism, Taoism, Buddhism, legalism and Guan theory) and MDSX (Mao Zedong thought, Deng Xiaoping theory, scientific thoughts of development and Xi Jinping thought), the dominant principles are “Socialism and Mixed Economy” and the core values of Chinese culture compose the layer between them. This study concludes that the distinguishing features of Chinese management are harmonious management, the order-diversity pattern and Tai Chi management.

Research limitations/implications

This paper only discussed the management model of China. Based on the conclusions of this paper, in the future, researchers comparative studies on Chinese management and other countries’ management models with glacier model. By so doing, people can have a more comprehensive understanding of management models of different cultures.

Practical implications

The management characteristics contained in Chinese culture can provide more abundant knowledge for understanding current organizational management issues. A better understanding of the characteristics of a Chinese management model based on Chinese civilization is conducive to foreign investment or cross-cultural cooperation between Chinese and foreign enterprises.

Originality/value

This study provides a new perspective in studying Chinese management. The theoretical values of the glacier model are as follows: it is rooted in a Chinese management context; it makes up for the insufficiency in the current study of institutionalism; and it guides cross-cultural communication and management. The authors hope that the study attracts the attention of more scholars. Any civilization of any region or country can construct its own management model using the frame of the glacier model.

Details

Chinese Management Studies, vol. 13 no. 4
Type: Research Article
ISSN: 1750-614X

Keywords

Article
Publication date: 9 December 2019

Zheng Fan, Tingting Lu and Peihua Fan

Abstract

Details

Chinese Management Studies, vol. 13 no. 4
Type: Research Article
ISSN: 1750-614X

Abstract

Details

AI in Fashion Industry
Type: Book
ISBN: 978-1-80262-633-9

Article
Publication date: 12 March 2018

Yumo Wang, Zhifeng Liu, Ligang Cai and Qiang Cheng

This paper aims to study the nonlinear supporting performance of hydrostatic ram under the impact of cutting force and search for an optimal solution to improve its stiffness.

Abstract

Purpose

This paper aims to study the nonlinear supporting performance of hydrostatic ram under the impact of cutting force and search for an optimal solution to improve its stiffness.

Design/methodology/approach

The Reynolds equation was applied to resolve the carrying capability of a single oil pad numerically, and an iteration method was used to analyze the nonlinear supporting force and stiffness of a pair of oil pads placed face-to-face. The total offset of ram could be obtained after the displacement of aspectant oil pads was solved by the bisection method. From the comparison of the offset values of ram evaluated under different support conditions, the optimal solution was determined.

Findings

In this study, an optimized oil supply allocation, concluded as 1.16:0.84, is proposed to improve the performance of hydrostatic ram supporting structure.

Originality/value

The supporting performance of hydrostatic ram could be improved by appropriate allocation of oil supply without extra energy consumption.

Details

Industrial Lubrication and Tribology, vol. 70 no. 2
Type: Research Article
ISSN: 0036-8792

Keywords

Article
Publication date: 13 August 2019

Zisheng Guo, Jianqi Zhang and Heng Liu

Small firms in China anticipate entrepreneurial opportunities for continual growth. However, they may fail to recognize opportunities because of their inefficiency in managing…

Abstract

Purpose

Small firms in China anticipate entrepreneurial opportunities for continual growth. However, they may fail to recognize opportunities because of their inefficiency in managing their knowledge.

Design/methodology/approach

In this explorative paper, the authors assess the opportunity recognition efficiency of 168 small Chinese firms using data envelopment analysis (DEA). Supplementary Tobit regressions were conducted for further exploring the factors that influence the firms’ efficiency in opportunity recognition.

Findings

Results from the DEA suggest that most respondents recognize significantly fewer opportunities than those with equivalent knowledge stock. Moreover, many firms have low levels of pure technical efficiency but high levels of scale efficiency, indicating insufficient use of knowledge as a major reason for inefficiency in opportunity recognition. The Tobit regressions show that sales and research and development intensity are relevant to a firm’s opportunity recognition efficiency.

Research limitations/implications

This study calls for the investigation of efficiency issues in opportunity recognition and suggests that managers guard against unwarranted loss of opportunities owing to inefficient use of existing knowledge elements.

Originality/value

First, the authors introduce the concept of opportunity recognition efficiency within the entrepreneurial process. Second, they manifest the role of knowledge management in opportunity recognition. Third, they introduce DEA to investigate the relationship between knowledge stock and opportunity recognition. Fourth, this study reveals that inefficient use of knowledge is a disadvantage of small Chinese firms in terms of opportunity recognition.

Details

Chinese Management Studies, vol. 13 no. 4
Type: Research Article
ISSN: 1750-614X

Keywords

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