A Configurational Analysis of Family Farm Management Efficiency: Evidence from China

Li, Wencheng; Wang, Lei; Wan, Qing; You, Weijia; Shao-wen, Zhang

doi:10.3390/su14106015

Cited by 7 publications

(4 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Due to their entrepreneurial nature, they are more receptive to change and accept new technology faster than other farmers. The premise that high-performance levels could obstruct the creation and implementation of creative ideas is supported by an examination of the overall entrepreneurial mindset of small-scale rural enterprises, the majority of which are family farms (Li et al , 2022).…”

Section: Theoretical Basis and Research Hypothesismentioning

confidence: 99%

Dual innovation of the business model: the regulatory role of entrepreneurial orientation in family firms

2023

JBIM

View full text Add to dashboard Cite

Purpose Family farms are seen as a powerful force for rural development, and they are gaining more and more research attention. This study aims to explore the relationship between the social networks of family farms and the dual innovation of the family farm business model from the perspective of entrepreneurial orientation. Design/methodology/approach Using a questionnaire survey of 169 family farms in Qingdao, China, descriptive and inferential statistics were used to analyze the data collected. The study hypothesis was tested using inferential tests (regression analysis). Findings The study results show that innovative, efficiency- and novelty-based business models facilitated by social networks have a favorable and significant impact on the performance of family farms. Furthermore, the relationship between social networks and new business model creation is positively influenced by an entrepreneurial orientation. Originality/value This study is distinctive in that it examines the mechanisms underlying family farm growth from an entrepreneurial standpoint, classifying family farm social networks for the first time into social, market and governmental categories and looking at their impact on the creation of new business models. In addition, it looks into the relationship between the innovation and social network aspect of the family farm business model from an entrepreneurial perspective, offering fresh insight into this connection. It also examines the family farm business model’s connection to innovation and social networks from an entrepreneurial standpoint, providing new insight into this relationship.

show abstract

Section: Theoretical Basis and Research Hypothesismentioning

confidence: 99%

Dual innovation of the business model: the regulatory role of entrepreneurial orientation in family firms

2023

JBIM

View full text Add to dashboard Cite

show abstract

“…We use DEA method to evaluate the business's performance. Since Charnes et al (1978) introduced their method, it was widely used to estimate both profits (e.g., bank [68], supply chain [69]), and non-profit organizations (e.g., hospital [70], library [71], farm [72]). In the business section, a plethora of scholars used this method to measure business performance (Shang, Hung [73], Ouenniche and Carrales [74])…”

Section: Data Envelopment Analysis (Dea)mentioning

confidence: 99%

The Effects of ESG Combined Score on Business Performance of Enterprises in the Transportation Industry

Pham

Tran

et al. 2022

Sustainability

View full text Add to dashboard Cite

A plethora of present studies has the purpose of analyzing the connection related to the effect of environmental, social, and governance (ESG) on business performance. However, it has still not been able to bring out comprehensive results because of using a single metric to measure performance. Due to that, this research will: (i) use the data envelopment analysis (DEA) method to measure transportation firms’ performance and (ii) use OLS regression to explore the relationship between ESG combined score and business performance. In the first stage, we found out that 43 out of 56 firms work inefficiently. The managers of those companies should utilize their resources and refer to the benchmarking as a sample to follow. The environmental and social scores positively affect business performance in the second stage. Thus, managers should consider ESG as an investment, primarily when transportation is categorized as an “environmentally sensitive industry”. Besides, investors should pay more attention to a company that has ESG activities because that firm has the chance to improve its business performance and deal with its commitments.

show abstract

“…is lower than the maximum possible output or frontier output, that is, the contribution of the effective application of the existing technologies to the current output. The changes in the technical efficiency reflect the changes in the actual output close to the optimal production frontier [40]. These indicators are also known as the generalized technological progress rate or the growth rate of total factor productivity (short for TFP growth rate or TFPG).…”

Section: Agricultural Technology Progressmentioning

confidence: 99%

Assessment and Comparison of Agricultural Technology Development under Different Farmland Management Modes: A Case Study of Grain Production, China

Hui

Hao

et al. 2022

Land

View full text Add to dashboard Cite

Agricultural technological change plays a crucial role in food security and agricultural development. In the case of considering economic risks and technical risk tolerance, farmers will use different technologies to match production factors to achieve the optimal production state. Therefore, under different farmland management modes, farms show different characteristics of technological progress. This paper attempts to compare and analyze agricultural technology development under different farmland management modes: the unified management mode of collective organizations (UMCO) and the decentralized management mode of contracted families (DMCF). The Stochastic Frontier Analysis (SFA) of the translog average production function was applied to the 24 farms of the Hulunbuir Agricultural Reclamation Group, of which 11 farms in the western part of the Greater Khingan Mountains (Western Farms) were managed by the DMCF, and the other 13 farms in the eastern part of the Greater Khingan Mountains (Eastern Farms) were managed by the UMCO. The results are as follows: (1) without considering the resource allocation efficiency, from 2000 to 2019, the generalized technological progress rate (TFPG) of the 13 Eastern Farms (7.65%) was higher than that of the Western Farms (2.25%). (2) The returns to scale (SRC) of the Western Farms was higher than that of the Eastern Farms. (3)The technological efficiency change rate (TEC) and the technical progress (TP) of the Eastern Farms is higher than that of the Western Farms. It is recommended that farms strengthen the construction of their infrastructure and service systems, resist natural disasters, reduce the disaster’s impact on technological progress, give full play to the overall planning advantages of the collective organizations, improve the product allocation efficiency factors, and create connotative profit points.

show abstract

A Configurational Analysis of Family Farm Management Efficiency: Evidence from China

Cited by 7 publications

References 55 publications

Dual innovation of the business model: the regulatory role of entrepreneurial orientation in family firms

Dual innovation of the business model: the regulatory role of entrepreneurial orientation in family firms

The Effects of ESG Combined Score on Business Performance of Enterprises in the Transportation Industry

Assessment and Comparison of Agricultural Technology Development under Different Farmland Management Modes: A Case Study of Grain Production, China

Contact Info

Product

Resources

About