Author:
Michels Marius,Möllmann Johannes,Musshoff Oliver
Abstract
Purpose
Adoption rates of commodity futures contracts among farmers are rather low in Europe despite their political support. The purpose of this paper is to examine whether the Technology Acceptance Model (TAM) can contribute to the understanding of farmers’ intention to use commodity futures contracts. Here, the authors explicitly distinguish between usage motives for price risk reduction and speculation.
Design/methodology/approach
The study is based on an online survey with 134 German farmers using partial least squares structural equation modeling to estimate the TAM.
Findings
The intention to use commodity futures contracts is mostly driven by farmers’ motivation for speculation rather than price risk reduction. Assuming risk averse farmers, this result could explain low adoption rates. Furthermore, perceived ease of use has a positive effect on the intention to use commodity futures contracts.
Practical implications
Handling of price hedging instruments should be facilitated to increase farmers’ adoption. Effective marketing trainings, which can demonstrate the ability of commodity futures contracts to reduce price risk, could increase farmers’ motivation to use them for their risk management instead of speculation.
Originality/value
This study analyzes path relationships between constructs expected to influence the intention to use commodity futures contracts which are allowed to be estimated by the TAM in one model. Here, the authors explicitly distinguish between usage motives for price risk reduction and speculation. This is the first study applying the TAM to price risk management tools.
Subject
Agricultural and Biological Sciences (miscellaneous),Economics, Econometrics and Finance (miscellaneous)
Reference66 articles.
1. Adämmer, P., Bohl, M.T. and von Ledebur, O. (2014), “Die Bedeutung von Agrarterminmärkten als Absicherungsinstrument für die deutsche Landwirtschaft”, Thünen Report No. 14, Johann Heinrich von Thünen-Institut, Braunschweig.
2. Producers’ perceptions and attitudes toward precision agriculture technologies;Computers and Electronics in Agriculture,2005
3. Analysing farmers’ use of price hedging instruments: an experimental approach;Journal of Agricultural & Food Industrial Organization,2014
4. Empirical models of farmer behaviour using psychological, social and economic variables. Part I: linear modelling;Agricultural Systems,1998
Cited by
11 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献