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Marshall, Andrew

doi:10.1023/a:1007640300392

Cited by 6 publications

(2 citation statements)

References 14 publications

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“…As for policy, its regulation can affect industrial development, especially improve public trust in consumption (Geall and Ely, 2019). For example, Marshall (2000) analyzed the structure and technology of the organic food industry to illustrate the effect of policy; Larsson et al (2013a) compared and summarized a few cases, which revealed the role of government in determining the development direction of the organic food industry; Lau et al (2020) discussed the relationship between government supervision and industrial development based on game theory; Duguleană et al (2018) evaluated the policy effect in European organic food industry through principal component analysis and multiple regression.…”

Section: Literature Reviewmentioning

confidence: 99%

Influencing factors of different development stages of green food industry: a system dynamic model

Zhai,

Zheng,

et al. 2024

Front. Environ. Sci.

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The green food industry is important for China because it bears the additional expectation of promoting the rural economy Heilongjiang Province is a representative example, which is one of the main production bases of green food With this in mind, this paper takes Heilongjiang Province as an example to research the main influencing factor of the green food industry This article uses system dynamics methods to construct research models and uses mathematical models to calculate the industry lifecycle. Different from previous studies, this paper provides the life cycle of the industry and discusses the effects of influencing factors during the different periods The main conclusion includes: The stage before 2011 is the termination period, the stage from 2011 to 2019 is the growth period, and the stage after 2019 is the property period By the final time of the simulation, there are no signs of filtering; The enterprise scale is the main influencing factor that can make positive effects on the output value of the green food industry from the growth period, and others have no objective impact from beginning to end; Undesirably high level of financial investment will execute a negative effect for industrial development in the property period, at least in terms of output value.

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Section: Literature Reviewmentioning

confidence: 99%

Influencing factors of different development stages of green food industry: a system dynamic model

Zhai,

Zheng,

et al. 2024

Front. Environ. Sci.

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“…These programs are often in addition to already existing resources provided by traditional agricultural groups in the U.S. such as the Farm Bureau, the USDA, and the land-grant university system with its network of Cooperative Extension agents to support farmers. Some nontraditional programs emerged in response to a general critique of the role of the more traditional organizations in increasing the intensification, concentration, capitalization, corporatization, and globalization of agriculture (Marshall, 2000).…”

Section: Literature Reviewmentioning

confidence: 99%

Finding Common Ground: Defining Agricultural Viability and Streamlining Multi-organization Data Collection

Christensen

Limbach²

2019

J. Agric. Food Syst. Community Dev.

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In 2011, the state of Washington created the Voluntary Stewardship Program (VSP), a collaborative and incentive-based approach to land-use management with the goal of protecting critical areas while maintaining and improving the viability of agriculture. Agricultural viability is an attractive ideal supported by a variety of stakeholder groups. Narrowly defined, agricultural viability is the ability of a farmer or a group of farmers to maintain an economically viable farm business. Yet, many feel this definition does not go far enough to reflect the long-term viability of agriculture in a community. It is, however, difficult to develop a broader shared definition and strategies to evaluate successful implementation of programs to achieve viability across multiple organizations. This paper explores how one county in Washington state organized a multistakeholder engagement process, employing the U.S. Department of Agriculture (USDA) Agricultural and Marketing Service (AMS) Toolkit (Thilmany McFadden et al., 2016) to define and measure agricultural viability. The process included collaborative design and implementation of an agricultural viability survey in San Juan County, Washington. We frame our reflective piece within

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Study on Regional Cultivated Land Resource Sustainable Utilization Evaluation— A Case Study of Chengdu Plain

Qin

Zhou

Tian

et al. 2016

Geo-Informatics in Resource Management and Sustainable Ecosystem

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Untitled

Cited by 6 publications

References 14 publications

Influencing factors of different development stages of green food industry: a system dynamic model

Influencing factors of different development stages of green food industry: a system dynamic model

Finding Common Ground: Defining Agricultural Viability and Streamlining Multi-organization Data Collection

Study on Regional Cultivated Land Resource Sustainable Utilization Evaluation— A Case Study of Chengdu Plain

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