How has the EU milk quota affected patterns of herd-size change?

Huettel, Silke; Jongeneel, R.A.

doi:10.1093/erae/jbq050

Cited by 48 publications

(54 citation statements)

References 27 publications

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“…The data was obtained from the Farm Structure Survey, covering all farms in the Netherlands that have at least ten dairy cows between 1971and 2011(Statistics Netherlands, 2013.…”

Section: Data and Descriptive Statisticsmentioning

confidence: 99%

“…The impact of milk quotas on the farm level is complex (Huettel and Jongeneel, 2011), but milk quotas are likely to hamper changes on dairy farms (Piet et al, 2012). Existing research on the influence of milk quotas includes the impact on changes in farm size (Breustedt and Glauben, 2007;Huettel and Jongeneel, 2011;Zimmermann and Heckelei, 2012), production (Ooms and Peerlings, 2005;Breustedt and Glauben, 2007;Huettel and Jongeneel, 2011), farm characteristics (Gale, 2003;Ooms and Peerlings, 2005;Huettel and Jongeneel, 2011), market conditions, land mobility (Harrington, 1995) or a combination of them (Zimmermann and Heckelei, 2012).…”

Section: Introductionmentioning

confidence: 99%

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The dynamics of dairy land use change with respect to the milk quota regime

et al. 2015

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This paper analyses the sequence of changes in land used for milk production on dairy farms in the period before, during, and towards the abolishment of milk quotas. Using a unique dataset comprising farm level data of the Netherlands between 1971 and 2011 we estimate two duration models, analysing the time period between changes in case of increases and decreases in dairy land use. The impact of milk quota, socio-economic and production variables on the likelihood of a farm changing his land use are assessed. Results show that quota abolishment will lead to a more dynamic dairy sector.

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“…The data was obtained from the Farm Structure Survey, covering all farms in the Netherlands that have at least ten dairy cows between 1971and 2011(Statistics Netherlands, 2013.…”

Section: Data and Descriptive Statisticsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The dynamics of dairy land use change with respect to the milk quota regime

et al. 2015

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“…Among these we find the family farm theory, which relies largely on neoclassical production and household economics (Ahearn et al ), new‐institutional economics, (Binswanger and McIntyre ; Berger ; Allen and Lueck ), and sunk costs theory (Foltz ). In empirical studies, several factors are identified as influencing farm structural change, including relative prices, technological change, size economies, farm debt, sunk costs, policy variables, demographic variables, and indicators related to off‐farm employment (Goddard et al ; Zepeda , ; Eastwood et al ; Foltz ; Stokes ; Jongeneel and Tonini ; Huettel and Jongeneel ).…”

Section: Introductionmentioning

confidence: 99%

Agricultural Policies and Structural Change in French Dairy Farms: A Nonstationary Markov Model

Arfa¹,

Daniel²,

Jacquet

et al. 2014

Canadian J Agri Economics

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The aim of this paper is to gain an understanding into how agricultural policies have affected structural change in the French dairy sector. A nonstationary Markov model is estimated using a Generalized Cross Entropy approach. Results show that while the price of cow's milk encourages farm growth, direct payments and quota restriction favor small farms. The price signal is a key factor of structural change. As a result, higher milk prices may accelerate the trend toward the further growth of dairy farms. Settlement policy and technical change seem not to slow this trend.

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“…The literature review on structural change includes Breustedt and Glauben (2007), Huettel andJongeneel (2011), Zimmermann andHeckelei (2012) and Jongeneel (2014 and2015). It indicates that important structural change drivers in the dairy sector are technology (economies of scale), productivity growth, farm household characteristics, input and output prices as well as macroeconomic drivers, such as unemployment rates.…”

Section: Methods For Assessing Impactsmentioning

confidence: 99%