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Author |
van Winsen, F.; de Mey, Y.; Lauwers, L.; Van Passel, S.; Vancauteren, M.; Wauters, E. |
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Title |
Determinants of risk behaviour : effects of perceived risks and risk attitude on farmer's adoption of risk management strategies |
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A1 Journal article |
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Year  |
2016 |
Publication |
Journal Of Risk Research |
Abbreviated Journal |
J Risk Res |
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Volume |
19 |
Issue |
1 |
Pages |
56-78 |
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Keywords |
A1 Journal article; Sociology; Engineering Management (ENM) |
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Abstract |
The importance of risk perception and risk attitude for understanding individual's risk behaviour are independently well described in literature, but rarely combined in an integrated approach. In this study, we propose a model assuming the choice to implement certain risk management strategies to be directly driven by both perceptions of risks and risk attitude. Other determinants influence the intention to apply different risk strategies mainly indirectly, mediated by risk perception and risk attitude. This conceptual model is empirically tested, using structural equation modelling, for understanding the intention of farmers to implement different common risk management strategies at their farms. Data are gathered in a survey completed by 500 farmers from the Flanders region in Belgium, investigating attitudes towards farming, perceived past exposure to risk, socio-demographic characteristics, farm size, perceptions of the major sources of farm business risk, risk attitudes and the intention to apply common risk management strategies. Our major findings are: (i) perception of major farm business risks have no significant impact on the intention of applying any of the risk strategies under study, (ii) risk attitude does have a significant impact. Therefore, rather than objective risk faced and the subjective interpretation thereof, it is the general risk attitude that influence intended risk strategies to be implemented. A distinction can be made between farmers willing to take risk, who are more inclined to apply ex-ante risk management strategies and risk averse farmers who are less inclined to implement ex-ante risk management strategies but rather cope with the consequences and diminish their effects ex-post when risks have occurred. |
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Wos |
000365523100004 |
Publication Date |
2014-07-24 |
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Edition |
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ISSN |
1366-9877 |
ISBN |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
1.34 |
Times cited |
25 |
Open Access |
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Notes |
; This work was supported by the agency for Innovation by Science and Technology [grant number 080508]. ; |
Approved |
Most recent IF: 1.34 |
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Call Number |
UA @ admin @ c:irua:130188 |
Serial |
6177 |
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Author |
van Winsen, F.; de Mey, Y.; Lauwers, L.; Van Passel, S.; Vancauteren, M.; Wauters, E. |
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Title |
Cognitive mapping : a method to elucidate and present farmers' risk perception |
Type |
A1 Journal article |
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Year |
2013 |
Publication |
Agricultural Systems |
Abbreviated Journal |
Agr Syst |
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Volume |
122 |
Issue |
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Pages |
42-52 |
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Keywords |
A1 Journal article |
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Abstract |
Assumptions on the perceptions of risks, made in agricultural economics literature, are recognized to be over-simplistic. For example most studies assume that risks are independent and static, while in reality most risks are interlinked and dynamic. We propose an alternative method to identify and present risk perception, closer to the actual comprehension of risk by farmers. Grounded theory is used to investigate the perceptions of risk by farmers while avoiding prior assumptions. Main findings are: (i) farmers have difficulty to rank or score probability and impact of risks in a (semi)quantitative manner; (ii) farmers attach different meanings to risk, when the focus shifts between, uncertain event, probability or value at stake and; (iii) farmers perceive risks as being interrelated. Based on these findings, we propose that farmers' risk perception can be best understood as a network of interrelated notions of uncertain events, their effects and uncertain outcomes. Furthermore, cognitive mapping is suggested to elucidate and present these networks. We test cognitive mapping, exploring dairy farmers' risk perception, and demonstrate the appropriateness of this methodology for capturing the complexity and context of perceived risk. Advantages are: (i) the qualitative approach, (ii) the focus on interrelations and context, (iii) the applicability at farm level, (iv) the farmer-driven rather than researcher-driven perspective, and (v) the elucidation of the polyvalent use of the risk concept. Cognitive maps can be used as a communication tool, a risk management tool, and a tool to stimulate bi-directional learning amongst farmers, policy makers, researchers and extension agents. (C) 2013 Elsevier Ltd. All rights reserved. |
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Wos |
000326910500005 |
Publication Date |
2013-09-12 |
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Edition |
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ISSN |
0308-521x |
ISBN |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
2.571 |
Times cited |
27 |
Open Access |
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Notes |
; We would like to acknowledge the Agency for Innovation by Science and Technology of the Flemish Government (IWT) for funding this research. Furthermore we would like to thank the anonymous reviewers for their valuable input. ; |
Approved |
Most recent IF: 2.571; 2013 IF: 2.453 |
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Call Number |
UA @ admin @ c:irua:112765 |
Serial |
6168 |
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Author |
Van Meensel, J.; Lauwers, L.; Van Huylenbroeck, G.; Van Passel, S. |
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Title |
Comparing frontier methods for economic-environmental trade-off analysis |
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A1 Journal article |
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Year |
2010 |
Publication |
European Journal Of Operational Research |
Abbreviated Journal |
Eur J Oper Res |
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Volume |
207 |
Issue |
2 |
Pages |
1027-1040 |
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Keywords |
A1 Journal article; Economics |
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Abstract |
This paper uses a mechanistic frontier approach as a reference to evaluate the ability of conventional parametric (SFA) and non-parametric (DEA) frontier approaches for analyzing economicenvironmental trade-offs. Conventional frontier approaches are environmentally adjusted through incorporating the materials balance principle. The analysis is worked out for the Flemish pig finishing case, which is both representative and didactic. Results show that, on average, SFA and DEA yield adequate economicenvironmental trade-offs. Both methods are good estimators for technical efficiency. Cost allocative and environmental allocative efficiency scores are less robust, due to the well-known methodological advantages and disadvantages of SFA and DEA. For particular firms, SFA, DEA and the mechanistic approach may yield different economicenvironmental trade-offs. One has therefore to be careful when using conventional frontier approaches for firm-specific decision support. The mechanistic approach allows for optimizing performances per average present finisher, which is the production unit in pig finishing. Conventional frontier methods do not allow for this optimization since the number of average present finishers varies along the production functions. Since the mechanistic production function is based on underlying growth, feed uptake and mortality functions, additional firm-specific indicators can also be calculated at each point of the production function. |
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Wos |
000281107200045 |
Publication Date |
2010-05-25 |
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ISSN |
0377-2217 |
ISBN |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
3.297 |
Times cited |
18 |
Open Access |
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Notes |
; This research is funded by the Institute for the Promotion of Innovation by Science and Technology in Flanders (IWT Vlaanderen). ; |
Approved |
Most recent IF: 3.297; 2010 IF: 2.159 |
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Call Number |
UA @ admin @ c:irua:136761 |
Serial |
6171 |
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Author |
Van Passel, S.; Van Huylenbroeck, G.; Lauwers, L.; Mathijs, E. |
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Title |
Sustainable value assessment of farms using frontier efficiency benchmarks |
Type |
A1 Journal article |
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Year |
2009 |
Publication |
Journal Of Environmental Management |
Abbreviated Journal |
J Environ Manage |
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Volume |
90 |
Issue |
10 |
Pages |
3057-3069 |
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Keywords |
A1 Journal article; Economics |
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Abstract |
Appropriate assessment of firm sustainability facilitates actor-driven processes towards sustainable development. The methodology in this paper builds further on two proven methodologies for the assessment of sustainability performance: it combines the sustainable value approach with frontier efficiency benchmarks. The sustainable value methodology tries to relate firm performance to the use of different resources. This approach assesses contributions to corporate sustainability by comparing firm resource productivity with the resource productivity of a benchmark, and this for all resources considered. The efficiency is calculated by estimating the production frontier indicating the maximum feasible production possibilities. In this research, the sustainable value approach is combined with efficiency analysis methods to benchmark sustainability assessment. In this way, the production theoretical underpinnings of efficiency analysis enrich the sustainable value approach. The methodology is presented using two different functional forms: the CobbDouglas and the translog functional forms. The simplicity of the CobbDouglas functional form as benchmark is very attractive but it lacks flexibility. The translog functional form is more flexible but has the disadvantage that it requires a lot of data to avoid estimation problems. Using frontier methods for deriving firm specific benchmarks has the advantage that the particular situation of each company is taken into account when assessing sustainability. Finally, we showed that the methodology can be used as an integrative sustainability assessment tool for policy measures. |
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Wos |
000269022800013 |
Publication Date |
2009-06-24 |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
0301-4797 |
ISBN |
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Additional Links |
UA library record; WoS full record; WoS citing articles; WoS full record; WoS citing articles |
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Impact Factor |
4.01 |
Times cited |
41 |
Open Access |
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Notes |
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Approved |
Most recent IF: 4.01; 2009 IF: 2.367 |
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Call Number |
UA @ admin @ c:irua:136762 |
Serial |
6259 |
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