toggle visibility
Search within Results:
Display Options:

Select All    Deselect All
 |   | 
Details
   print
  Records Links
Author Vanschoenwinkel, J.; Vancauteren, M.; Van Passel, S. doi  openurl
  Title How do western European farms behave and respond to climate change? A simultaneous irrigation-crop decision model Type A1 Journal article
  Year (down) 2022 Publication Climate change economics Abbreviated Journal  
  Volume 13 Issue 4 Pages 2250009-2250038  
  Keywords A1 Journal article; Economics; Engineering Management (ENM)  
  Abstract Most farm adaptations are reactive actions that run the risk of locking farm systems into suboptimal long-term trajectories. This is especially the case with regard to water management as water scarcity will be aggravated by climate change. This paper looks into farm irrigation choices in combination with crop choices because a proper crop choice has the potential to reduce water requirements. It proposes an extended Ricardian model to capture multiple adaptation decisions explicitly. The new simultaneous irrigation-crop farm decision model uses spatially detailed farm-level data of over 18,000 European farms on irrigation and seven different crop choices. The analysis shows that larger farmers and farmers in less water-scarce regions that use irrigation are more sensitive to temperature increases than rain-fed agriculture. This might be explained by the fact that these farmers do not experience the real cost of water scarcity because of which they take less efficient decisions.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos 000791485900001 Publication Date 2022-03-09  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2010-0086 ISBN Additional Links UA library record; WoS full record  
  Impact Factor Times cited Open Access OpenAccess  
  Notes Approved Most recent IF: NA  
  Call Number UA @ admin @ c:irua:188680 Serial 7359  
Permanent link to this record
 

 
Author Maes, D.; Vancauteren, M.; Van Passel, S. pdf  doi
openurl 
  Title Investigating market power in the Belgian pork production chain Type A1 Journal Article
  Year (down) 2019 Publication Review of Agricultural, Food and Environmental Studies Abbreviated Journal Rev Agric Food Environ Stud  
  Volume 100 Issue 1-4 Pages 93-117  
  Keywords A1 Journal Article; Engineering Management (ENM) ;  
  Abstract Belgian pork production has faced stagnating prices for decades. It remains unclear whether excessive market power from slaughterhouses or meat retailers has played a role in this trend. While market power studies can reveal some of the market dynamics in this setting, this type of research has not yet been applied to the Belgian pork market. The present paper investigates oligopolies and oligopsonies in the pork production sector. We build a new model that focuses on market power dynamics in the market for live pigs and distinguishes horizontal and vertical market power parameters, both for pig farmers and for slaughterhouses. The results follow from an empirical application using unique slaughterhouse data for 2001–2015. The results indicate that the farmers benefit from a significant power advantage in the live pig market, when very modest price demands are taken as a reference. The final market price of live pigs approaches the price requested by the farmers. On the other hand, the measured vertical market power also suggests that a pig farmer does not receive the (modest) full-wage-based salary. The market power of the slaughterhouses is also limited. Market power as a result of collusion—that is, horizontal market power—is present, but is not strong. However, there are significant differences between the slaughterhouses in terms of mark-up on the input prices. These differences reflect differences in company strategy, and this diversity further reduces the possibility to create sector-wide collusive behaviour.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos Publication Date 2019-11-27  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2425-6870 ISBN Additional Links  
  Impact Factor Times cited Open Access  
  Notes H2020 Food, 635577 ; TUL Impuls (transnational university Limburg) Interuniversity fund; Approved no  
  Call Number ENM @ enm @ Serial 6377  
Permanent link to this record
 

 
Author de Mey, Y.; Wauters, E.; Schmid, D.; Lips, M.; Vancauteren, M.; Van Passel, S. doi  openurl
  Title Farm household risk balancing : empirical evidence from Switzerland Type A1 Journal article
  Year (down) 2016 Publication European Review Of Agricultural Economics Abbreviated Journal Eur Rev Agric Econ  
  Volume 43 Issue 4 Pages  
  Keywords A1 Journal article; Economics  
  Abstract Empirical evidence on household risk balancing behaviour is presented by estimating a fixed effects seemingly unrelated regression model using Swiss Farm Accountancy Data Network data. We find that in response to changes in expected business risks, Swiss farm households not only make strategic farm financial risk decisions (original risk balancing), but also make strategic off-farm decisions (household risk balancing) by altering their share of off-farm income and relative consumption. Small farms appear to make more use of household risk balancing strategies whereas large farms conversely make more use of the original risk balancing strategy.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos 000386026600005 Publication Date 2015-11-05  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0165-1587; 1464-3618 ISBN Additional Links UA library record; WoS full record; WoS citing articles; WoS full record; WoS citing articles  
  Impact Factor 1.6 Times cited 15 Open Access  
  Notes ; This research was funded by a scholarship from the Agency for Innovation by Science and Technology (IWT) in Flanders. The authors are very grateful to Ludwig Lauwers and Frankwin van Winsen for many helpful discussions. They also thank the editor and two anonymous reviewers for their constructive comments and conference/workshop participants from ART, BAAE, EAAE, KU Leuven and WUR for excellent comments on earlier versions of the article. The views expressed in this article are those of the authors and do not necessarily reflect those of the Agroscope Institute for Sustainability Sciences ISS. ; Approved Most recent IF: 1.6  
  Call Number UA @ admin @ c:irua:138183 Serial 6202  
Permanent link to this record
 

 
Author van Winsen, F.; de Mey, Y.; Lauwers, L.; Van Passel, S.; Vancauteren, M.; Wauters, E. pdf  doi
openurl 
  Title Determinants of risk behaviour : effects of perceived risks and risk attitude on farmer's adoption of risk management strategies Type A1 Journal article
  Year (down) 2016 Publication Journal Of Risk Research Abbreviated Journal J Risk Res  
  Volume 19 Issue 1 Pages 56-78  
  Keywords A1 Journal article; Sociology; Engineering Management (ENM)  
  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.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos 000365523100004 Publication Date 2014-07-24  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1366-9877 ISBN Additional Links UA library record; WoS full record; WoS citing articles  
  Impact Factor 1.34 Times cited 25 Open Access  
  Notes ; This work was supported by the agency for Innovation by Science and Technology [grant number 080508]. ; Approved Most recent IF: 1.34  
  Call Number UA @ admin @ c:irua:130188 Serial 6177  
Permanent link to this record
 

 
Author van Winsen, F.; de Mey, Y.; Lauwers, L.; Van Passel, S.; Vancauteren, M.; Wauters, E. pdf  doi
openurl 
  Title Cognitive mapping : a method to elucidate and present farmers' risk perception Type A1 Journal article
  Year (down) 2013 Publication Agricultural Systems Abbreviated Journal Agr Syst  
  Volume 122 Issue Pages 42-52  
  Keywords A1 Journal article  
  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.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos 000326910500005 Publication Date 2013-09-12  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0308-521x ISBN Additional Links UA library record; WoS full record; WoS citing articles  
  Impact Factor 2.571 Times cited 27 Open Access  
  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  
  Call Number UA @ admin @ c:irua:112765 Serial 6168  
Permanent link to this record
Select All    Deselect All
 |   | 
Details
   print

Save Citations:
Export Records: