From material flow analysis to material flow management Part II: the role of structural agent analysis

Binder, Claudia R.

doi:10.1016/j.jclepro.2006.08.017

Cited by 50 publications

(44 citation statements)

References 49 publications

(56 reference statements)

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“…The theory should not only guide selection of aspects to be considered in the analysis (i.e. potential explanatory factors) but also, importantly, the identification of the relationships among them, to be verified for each specific case study, in order to support context-specific strategies needed to cope with the complexity of SES (van den Bergh et al, 2000;Rammel et al, 2004 and2007;Bolte et al, 2006;Matthews and Selman, 2006;Galt, 2008). Research on farmers' behaviour has in some cases adopted behavioural theories from the social sciences (e.g.…”

Section: Behavioural Theorymentioning

confidence: 99%

“…Therefore, change does not have to be linear or to result in societal progress, but, on the contrary, it is likely to be discontinuous, non-linear and with multiple alternative equilibria (Fuchs, 2003;Thompson et al, 2007). Finally, it has been argued that ST is useful for the understanding of the dynamic interactions between levels in human-environment systems (Scoones, 1999;Thompson et al, 2007;Geels and Schot, 2007;Binder et al, 2004;Binder, 2007). One of the criticisms that has been leveled at ST concerns the fact that it is rather general and therefore difficult to apply to empirical research (Archer, 1990).…”

Section: Structuration Theorymentioning

confidence: 99%

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Towards an improved understanding of farmers' behaviour: The integrative agent-centred (IAC) framework

Feola

Binder

2010

Ecological Economics

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119

100

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An effective approach to research on farmers' behaviour is based on: i) an explicit and well motivated behavioural theory; ii) an integrative approach; iii) understanding feedback processes and dynamics. While current approaches may effectively tackle some of them, they often fail to combine them together. The paper presents the integrative agent-centred (IAC) framework, which aims at filling this gap. It functions in accordance with these three pillars and provides a conceptual structure to understand farmers' behaviour in agricultural systems. The IAC framework is agent-centred and supports the understanding of farmers' behavior consistently with the perspective of agricultural systems as complex Social-Ecological Systems. It combines different behavioural drivers, bridges between micro and macro levels, and depicts a potentially varied model of human agency. The use of the framework in practice is illustrated through two studies on pesticide use among smallholders in Colombia. The examples show how the framework can be implemented to derive policy implications to foster a transition towards more sustainable agricultural practices. The paper finally suggests that the framework can support different research designs for the study of agents' behaviour in agricultural and social-ecological systems Feola, G., Binder, C.R., 2010. Towards an improved understanding of farmers' behaviour: The integrative agent-centred (IAC) framework, Ecol. Econ. 69, 2323Econ. 69, -2333

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Section: Behavioural Theorymentioning

confidence: 99%

Section: Structuration Theorymentioning

confidence: 99%

Towards an improved understanding of farmers' behaviour: The integrative agent-centred (IAC) framework

Feola

Binder

2010

Ecological Economics

Self Cite

119

100

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“…This approach has provided based on the conceptual framework of the Giddens' structuration theory. The Giddens' structuration theory is one of the several theories of social processes (Cedermann, 2005) and has focused on how the social structure is made out of human activity (Binder, 2007 Bulger, 2008). This technique was used for more than 4 months in three rounds.…”

Section: Methodsmentioning

confidence: 99%

Modeling Socio-Ecological Structure of Local Communities Participation for Managing Livestock Drinking Water Using the Agent-Based Approach

Islami¹,

Sadoddin²,

Barani³

et al. 2017

Appl Ecol Env Res

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Abstract. The agent-based modelling (ABM) can illuminate how multi-dimensional process of public participation emerges from simple behavior rules. It can model the participation process which is too complicated using congenital approaches. In the present research, the social structure of human participation in managing livestock drinking water of arid rangelands in Yazd Province, Iran, was designed using the four steps of ABM. This study provides a true understanding of interactions of four agents including government, livestock beneficiaries, natural resources organization and NGOs with each other and with the natural environment. In order to achieve conceptual proof, the Delphi technique was applied for stepwise identification of agents and their real behaviors. Additionally, quantification of decision elements and decision-making hypotheses was examined using the Analytical Network Process (ANP). By confirming the conceptual validity of decision-making hypotheses through network analysis, the conceptual model was confirmed. The analysis demonstrates that "low income of livestock beneficiaries", "successive droughts and low rainfall" and "weakness of NGOs", with normal weights of 0.31, 0.15, and 0.09, respectively are three major drivers for problem of weak participation among local communities in the study area. This research is an example of incorporating the ABM approach in settling problems encountered with social system.

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“…Während in Unternehmen einzelne Entscheidungsträger direkte Schlussfolgerungen aus einer MFA oder LCA ziehen können, gestaltet sich die Umsetzung einer nachhaltigen Entwicklung auf regionaler Ebene oder entlang einer Produktionskette schwieriger, da verschiedene Akteure mit unterschiedlichen Interessen und Zielen beteiligt sind . Die Kombination von MFA mit sozialwissenschaftlichen Methoden wird daher von verschiedenen Autoren vorgeschlagen, um relevante Erkenntnisse für politische Entscheidungsfindungen zu gewinnen (Binder 2007 a;Brunner 2002 b;Jeswani et al 2010).…”

Section: Modellierung Von Materialflüssenunclassified

Governance von Stoffstromsystemen

Binder¹,

Zimmermann²,

Jedelhauser³

2014

ÖW

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From material flow analysis to material flow management Part II: the role of structural agent analysis

Cited by 50 publications

References 49 publications

Towards an improved understanding of farmers' behaviour: The integrative agent-centred (IAC) framework

Towards an improved understanding of farmers' behaviour: The integrative agent-centred (IAC) framework

Modeling Socio-Ecological Structure of Local Communities Participation for Managing Livestock Drinking Water Using the Agent-Based Approach

Governance von Stoffstromsystemen

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