Developing effective policies for the sustainable development of ecological agriculture in China: the case study of Jinshan County with a systems dynamics model

Shi, Tian; Gill, Roderic

doi:10.1016/j.ecolecon.2004.08.006

Cited by 110 publications

(54 citation statements)

References 22 publications

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“…Weber and Schwaninger (2002) apply system dynamics to analyse the organisation and distribution system of cooperatives in the Swiss agribusiness (mainly SMEs), which triggered the reorganisation project and significantly changed the participants' mental models. Shi and Gill (2005) searched for the policies of sustainable ecological agriculture in the county in China using the system dynamics model. The model identified the crucial factors for the promotion of sustainable ecological agriculture.…”

Section: System Dynamicsmentioning

confidence: 99%

Dynamics of the small farmers' behaviour - scenario simulations

Koláčková¹,

Krejčí²,

Tichá³

2017

AGR ECON-CZECH

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Th e paper deals with the dynamic simulation of the possible development scenarios of small farmers. Th e model is based on the offi cial data sources but also on the qualitative research of small farmers. Th e modelling structure refl ects the specifi cs of the examined fi eld and personal and social specifi cs of small farmers. For the purposes of the analysis, the business model describes the value creation in the small and individual farms, thereafter the model is extended into the dynamic simulation model and the selected scenarios of development are simulated. Th e analysis shows the impact of the current setup in the fi eld. Despite the fact that the paper contains the optimistic scenarios, a simple change of parameters leads to an unsustainable situation. Th e pessimistic scenarios grow from the realistic conditions when the parameters refl ect the recent period settings. Th is clearly depicts the infl uence of the weak market position of the farmers and advocates the diversifi cation tendencies.

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Section: System Dynamicsmentioning

confidence: 99%

Dynamics of the small farmers' behaviour - scenario simulations

Koláčková¹,

Krejčí²,

Tichá³

2017

AGR ECON-CZECH

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“…For examples of particular applications of fully operational system dynamics simulation models to food system issues, see the following: models of crop growth and management (e.g., Yin and Struik 2010), nutrient dynamics (e.g., Saysel 2014), soil degradation (e.g. Saysel and Barlas 2001), development of environmentally friendly farm systems (e.g., Belcher et al 2004;Shi and Gill 2005), irrigation systems design and management (e.g., Saysel et al 2002), food supply and security (e.g., Conrad 2004;Georgiadis et al 2005), commodity markets (e.g, Nicholson and Stephenson 2014;Nicholson and Kaiser 2008), agricultural development policy (e.g., Kopainsky et al 2015;Züllich et al 2015) and vulnerability analysis of high versus low external input farming systems .…”

Section: Additional Resourcesmentioning

confidence: 99%

A system dynamics approach for examining mechanisms and pathways of food supply vulnerability

Stave

Kopainsky

2015

J Environ Stud Sci

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Understanding vulnerabilities in complex and interdependent modern food systems requires a wholesystem perspective. This paper demonstrates how one systems approach, system dynamics, can help conceptualize the mechanisms and pathways by which food systems can be affected by disturbances. We describe the process of creating stock-and-flow maps and causal loop diagrams from the graphical representation of a problem and illustrate their use for making links and feedback among the human health, food, and environmental health sectors visible. These mapping tools help structure thinking about where and how particular systems might be affected by different disturbances and how flows of material and information transmit the effects of disturbances throughout the system. The visual representations as well as the process of creating them can serve different purposes for different stakeholders: developing research questions, identifying policy leverage points, or building collaboration among people in different parts of the system. They can serve as a transition between mental models and formal simulation models, but they also stand on their own to support diagrammatic reasoning: clarifying assumptions, structuring a problem space, or identifying unexpected implications of an unplanned disturbance or an intentional policy intervention. The diagrams included here show that vulnerability of a national food system does not only or automatically result from exogenous shocks that might affect a country. Rather, vulnerability can be either intensified or reduced by the interaction of feedback loops in the food system, and buffered or amplified by the structure of stocks and flows. KeywordsCausal loop diagram; conceptual models; dynamic complexity; modern industrialized food systems; stock-and-flow diagram; systems mapping, structural insights. 2 IntroductionFood supply systems are richly integrated and highly dynamic social-ecological systems in which ecological factors shape the possibilities for food production and social factors govern the goals and operations of actors in the system. In low income countries, food supply systems tend to be relatively simple and closely adapted to local environmental conditions, with a small set of products and few steps between producers and consumers. Consumers are likely to participate in the system and understand how it works. By contrast, the structure and operation of modern industrialized food systems are largely invisible to consumers and policy-makers (Reisch et al. 2013). The chains of production, processing, and distribution activities that generate food supplies are long, highly differentiated, and influenced by an array of environmental, economic, social, cultural and other factors. It is hard to visualize connections in the system and even harder to see how changes in one part of the system affect other parts. Some causal connections in the system are direct and obvious, such as the effect of a drought on crop yield, but some are indirect and opaque, such as the effect of...

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“…In terms of environmental concerns, the application has covered many issues. These vary from salt accumulation in lowlands under continuous irrigation practice (Saysel and Barlas, 2001);the value of water conservation (Stave, 2003); the consequences of dioxins to the supply chain of the chicken industry (Minegishi and Thiel, 2000); the eutrophication problem in shallow freshwater lakes (Guneralp and Barlas, 2003); the impact of environmental issues on long-term behavior of a single product supply chain with product recovery (Georgiadis and Vlachos, 2004); sustainability of ecological agricultural development at a county level (Shi and Gill 2005); estimation of methane emissions from rice welds (Anand et al, 2005), basin's environmental management system (Guo et al, 2001) and waste management (Dyson and Chang, 2005;UlliBeer, 2003;Karavezyris et al, 2002;Sudhir et al, 1997).…”

Section: Birthmentioning

confidence: 99%

A System Dynamics Model to Predict Municipal Waste Generation and Management Costs in Developing Areas

Al‐Khatib

Eleyan²,

Garfield³

2015

J Solid Waste Technol Mngmnt

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This paper utilized system dynamics modeling as a new analytical approach to predict both the municipal waste generated and the associated disposal costs in developing areas. This approach facilitates the decomposition of general waste into its main components to enable municipalities to manage recyclables and find out the feasibility of performing recycling better rather than disposal by performing comparative disposal cost analysis. This study is different from previous work as it only considers population as a factor to predict the total waste generated and recycled, together with the associated expenditure and disposal cost savings. The approach is verified by applying it to a case study in Nablus and demonstrates the evaluation of the quantity and composition of generated waste by considering population as the main influencing factor. The quantity and composition of municipal solid waste was evaluated to identify opportunities for waste recycling in the Nablus municipality. Municipal solid waste was collected and classified into eight main physical categories. The system dynamics model enable the quantity of each generated component such as plastic and metals to be anticipated together with the cost of recycling or disposal.

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Developing effective policies for the sustainable development of ecological agriculture in China: the case study of Jinshan County with a systems dynamics model

Cited by 110 publications

References 22 publications

Dynamics of the small farmers' behaviour - scenario simulations

Dynamics of the small farmers' behaviour - scenario simulations

A system dynamics approach for examining mechanisms and pathways of food supply vulnerability

A System Dynamics Model to Predict Municipal Waste Generation and Management Costs in Developing Areas

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