What Affects the Production Technology of Labor-Intensive Agricultural Industries in the Context of Labor Aging? An Empirical Study Based on the Garlic Production in Lanling

Sui, Fujia; Yang, Yinsheng; Zhao, Shizhen

doi:10.3390/su14010048

Cited by 5 publications

(3 citation statements)

References 25 publications

(35 reference statements)

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“…Focusing on data collection through personal interviews, a small part of them (12 papers) had a reference on how they collected their samples. More precisely, 4 referred to Random sampling technique formula (Raheli et al 2017 ; Ramezani et al 2022 ; Sherzod et al 2018 ; Sui et al 2022 ); another 4 to Cochran technique (Ashraf et al 2020 ; Esfahani et al 2017 ; Molinos-Senante et al 2016 ; Payandeh et al 2021 ); 2 to Yamane technique (Haq and Boz 2019 ; Ul Haq et al 2020 ); 1 to Stratified Sampling formula (Godoy-Durán et al 2017 ) and one to snowball sampling method (Mwambo et al 2021 ).…”

Section: Resultsmentioning

confidence: 99%

A systematic literature review of data envelopment analysis implementation in agriculture under the prism of sustainability

et al. 2023

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Safeguarding natural resources and energy is essential to ensure food security for future generations. Given the increase of published papers in the agricultural field applying Data Envelopment Analysis (DEA), this review seeks to address the special requirements of this methodology when implemented in the agricultural sector as well as to classify papers under sustainability aspects (economic, environmental, social). More specifically, 120 papers from Scopus and Web of Science databases were included in this review by using PRISMA methodology, and they were tested in the following groups (i) General information, (ii) DEA implementation, (iii) DEA extensions, (iv) Data type, (v) Data collection and processing, and (vi) Sustainability dimensions. Results indicate that there is a great need for weights use when performing DEA in the agricultural sector, to acquire results with greater explanatory power. Moreover, systematic data collection of multiple factors could lead to the implementation of complex methodologies, providing feasible solutions to the involved stakeholders. Lastly, the social aspect is the least represented dimension out of the three aspects of sustainability, indicating the need for the integration of social factors in such analyses, especially when DEA is used to create a policy framework in a specific area.

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Section: Resultsmentioning

confidence: 99%

A systematic literature review of data envelopment analysis implementation in agriculture under the prism of sustainability

et al. 2023

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“…When the demographic dividend disappears, the sustainable development of the industry usually requires innovation and upgrading through technological means [28]. This issue may not only exist in the chili pepper industry cluster, but is also a challenge faced in the development of other agricultural industry clusters [29,30].…”

Section: Discussionmentioning

confidence: 99%

Evolution Modes of Chili Pepper Industry Clusters under the Perspective of Social Network—An Example from Xinfu District, Xinzhou, Shanxi Province

You

Wang

et al. 2023

Sustainability

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This study evaluates the progression and influencing factors of the chili pepper industry cluster in Xinzhou City, Shanxi Province from 2006 to 2020 from a social network standpoint, using both theoretical and empirical methods as well as incorporating field survey data. The findings reveal the following facts: (1) the chili pepper industry cluster underwent a steady evolution in the social network over the course of 15 years, evidenced by an increase in the network clustering coefficient from 0.157 to 0.470. The network scale expanded from 9 to 76 entities; thus it basically achieved maturity; (2) the development modes of the chili pepper industry cluster in Xinfu District can be summarized as follows: an “embryonic stage” (2006–2010), an “initial stage” (2011–2015), and a “developmental stage” (2016–2020), which are marked by a broker-centered industry mode during the embryonic stage, a cooperatives-centered industry mode during the initial stage, and a chili pepper association- and leading enterprise-centered industry mode during the developmental stage; (3) the policies, fund, market, labor, and external capital have a significant impact on the development of the chili industry cluster in the Xinfu District. During the embryonic stage, the primary influencing factors are fund (0.326) and market (0.309). During the initial stage, the primary influencing factors are market (0.162) and external capital (0.135). During the developmental stage, the primary influencing factors are policy (0.232) and market (0.232), with technology (−0.102) serving as a limiting factor. It is crucial to take into account natural resource endowment and industry mode features, foster technological advancement, and spur social capital involvement in developing chili pepper industry clusters. The government must create a supportive external environment for the chili pepper industry cluster’s growth to establish a solid foundation for the high-quality advancement of the agricultural industry cluster. The insights derived from this study can serve as a reference and source of inspiration for the growth of other vegetable industry clusters in China.

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“…Lanling belongs to the continental climate of the monsoon region in the warm zone, and its climate is characterized by mild and humid, with four distinct seasons, which is very suitable for vegetable growth. Vegetables, as the most beautiful name card of Lanling County, have a vegetable planting area of 1.12 million mu and a total output of 4.1 million tons, mainly planting garlic, burdock, chili, and other agricultural products, making it a major county in the production of agricultural products in the country (Sui, 2020). Lanling is known as "the hometown of Chinese vegetables," "the hometown of Chinese garlic," "the hometown of Chinese burdock" and "Shandong South Garden" (Figure 3).…”

Section: The Study Areamentioning

confidence: 99%

Evaluation of vegetable green logistics in Lanling County of China based on DEMATEL-ANP-FCE model

Wang,

Liu,

et al. 2024

Front. Sustain. Food Syst.

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IntroductionDue to the problems of greenhouse gas emissions, noise pollution, and vegetable waste pollution during the transportation of vegetables, it is not conducive to the sustainable development of the environment. To mitigate the pollution of the environment during transportation, vegetable green logistics plays a pivotal role in promoting both environmental sustainability and high-quality economic development. Therefore, it is crucial to evaluate the development of vegetable green logistics.MethodsThis research builds a DEMATEL-ANP-FCE model to scientifically assess the development of vegetable green logistics in Lanling County. In the first place, the model uses DEMATEL to verify the relationship and degree of influence between the primary indexes. In the second place, the ANP approach with Super Decisions software to determine the weights of the indexes at each level. Lastly, evaluating and scoring vegetable green logistics in Lanling County based on FCE.Results and discussionThe results of the study show that there is an interaction relationship between the primary evaluation indexes, and its evaluation score is low, the vegetable logistics in Lanling County has not reached the degree of greening. Accordingly, the evaluation results obtained by the DEMATEL-ANP-FCE model in this work are in line with the actual situation of vegetable green logistics in Lanling County, which verifies that the model has good applicability. Moreover, managerial contributions for promoting the development of vegetable green logistics in Lanling County are put forward in response to the evaluation situation. Expecting to enhance the greening level of vegetable logistical development and advance agricultural sustainability. Finally, all four questions raised in this paper are well addressed. This study also provides a new perspective and evaluation model for future related research.

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What Affects the Production Technology of Labor-Intensive Agricultural Industries in the Context of Labor Aging? An Empirical Study Based on the Garlic Production in Lanling

Cited by 5 publications

References 25 publications

A systematic literature review of data envelopment analysis implementation in agriculture under the prism of sustainability

A systematic literature review of data envelopment analysis implementation in agriculture under the prism of sustainability

Evolution Modes of Chili Pepper Industry Clusters under the Perspective of Social Network—An Example from Xinfu District, Xinzhou, Shanxi Province

Evaluation of vegetable green logistics in Lanling County of China based on DEMATEL-ANP-FCE model

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