2020
DOI: 10.1002/aepp.13116
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Does an Income Gap between Farm and Nonfarm Households Still Exist? The Case of the European Union

Abstract: The paper compares the income conditions of farm and nonfarm households in the whole EU and within three geographical groups of countries for the period 2008–2016. Overcoming the simple comparison of raw means of the groups, we estimate the farm/nonfarm income differentials by using Regression Adjusted and Covariate Matching techniques, which allow to control for observable characteristics among groups. Three innovative features of our analysis are that we account for the whole income of farm households (i.e. … Show more

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Cited by 14 publications
(20 citation statements)
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“…Such data are collected in the EU Survey on Income and Living Conditions (EU-SILC) but the small number of farm households in this survey makes it difficult to draw valid conclusions. By pooling these data across EU countries, Rocchi, Marino, and Severini (2020) find evidence that, on average, farm household incomes are lower than in non-farm households and even more so if the comparison is made with self-employed households in the non-farm sector. Controlling for observable differences such as age, education, marital status and health status markedly reduces the size of the disparity, as does accounting for a wider definition of income to include nonmonetary factors, but it does not completely eliminate it.…”
Section: Ensuring Food Securitymentioning
confidence: 98%
“…Such data are collected in the EU Survey on Income and Living Conditions (EU-SILC) but the small number of farm households in this survey makes it difficult to draw valid conclusions. By pooling these data across EU countries, Rocchi, Marino, and Severini (2020) find evidence that, on average, farm household incomes are lower than in non-farm households and even more so if the comparison is made with self-employed households in the non-farm sector. Controlling for observable differences such as age, education, marital status and health status markedly reduces the size of the disparity, as does accounting for a wider definition of income to include nonmonetary factors, but it does not completely eliminate it.…”
Section: Ensuring Food Securitymentioning
confidence: 98%
“…Nguyen et al ., 2007; Bargain and Kwenda, 2011; Lausev, 2014; Christopoulou and Monastiriotis, 2014; Hospido and Moral‐Benito, 2016). But, in the literature on the farm parity issue, unobserved heterogeneity has been rarely taken into account with very few exceptions (Stefani et al ., 2012; De Frahan et al ., 2017; Rocchi et al ., 2020). Thanks to the rotating panel nature of the EU‐SILC, we exploit the longitudinal structure and employ fixed effects regressions, which cater for individual unobserved characteristics.…”
Section: Background On Farm–non‐farm Income Disparitymentioning
confidence: 99%
“…The income disparity between FH and NFH has been studied mostly in the USA ( Mishra et al ., 2002; El‐Osta et al ., 2007; Katchova, 2008). Only a few studies investigate the farm/non‐farm income disparity in the European Union (EU) (Rocchi et al ., 2012; Stefani et al ., 2012; de Frahan et al ., 2017; Rocchi et al ., 2020), despite a large share (almost 40% in 2018) of the EU budget being used for economic support to EU farmers through the CAP. For this reason, we offer a systematic EU‐wide assessment of the income differential between the income of farm and non‐farm households and answer the following three main research questions: Does a significant disparity in the income level between farm and non‐farm households still exist in the EU after controlling for observable and unobservable characteristics?…”
Section: Introductionmentioning
confidence: 99%
“…Public opinion often considers agricultural incomes as structurally lagging behind incomes in other sectors (Katchova, 2008; Rocchi et al., 2021). The modernization of agriculture has put pressure on farmers to invest continuously in new technologies and produce for mass food markets, thereby squeezing economic margins (Ploeg et al., 2000).…”
Section: Introductionmentioning
confidence: 99%