Politicians and farm lobbyists frequently use the argument that agricultural policy is necessary to safeguard jobs in agriculture. We explore whether this is true by conducting an econometric ex post evaluation of the European Union's Common Agricultural Policy (CAP) in the three East German States Brandenburg, Saxony, and Saxony-Anhalt. Whereas previous studies have employed descriptive statistics or qualitative methods and have looked at single policy instruments in isolation, we apply a difference-in-differences estimator to analyze the employment effects of the entire portfolio of CAP measures simultaneously. Based on panel data at the county level, we find that investment aids and transfers to less-favored areas had a zero marginal employment effect. We present evidence that full decoupling of direct payments in 2005 led to labor shedding, as it made transfer payments independent of factor allocation. Spending on modern technologies in processing and marketing and measures aimed at the development of rural areas led to job losses in agriculture. Agrienvironmental measures, on the other hand, kept labor-intensive technologies in production or induced them. This analysis calls into question whether an expansion of existing second pillar measures is a reasonable way to use funds modulated away from the first pillar.JEL classifications: J43, Q18, R58
Standard-Nutzungsbedingungen: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. ABSTRACT Empirical analysis of rural credit market failure has been of key scientific and political interest in recent years. The aim of this paper is to give an overview of various methods for measuring credit rationing of farms employed in the literature. Furthermore, based on a common analytical framework entailing a formal model of a credit rationed farm household, the methods are subjected to a comparative evaluation of their specific strengths or shortcomings. Six approaches are distinguished: measurement of loan transaction costs, analysis of qualitative information collected in interviews, analysis of quantitative information collected in interviews by using the credit limit concept, analysis of spill-over effects with regard to secondary credit sources, econometric household modelling, and the econometric analysis of dynamic investment decisions. The first approach defines credit rationing as the impossibility to take a loan due to prohibitively high, measurable transaction costs on loan markets , which is a price rationing mechanism. All other approaches at least implicitly define credit rationing as a persistent private excess demand in terms of a quantity restriction. The six approaches are more or less closely linked to the neo-classical efficiency concept. An explicit comparison with a first-best solution is impossible in the first three approaches, since they essentially rely on a subjective assessment of borrowers' access to credit, based on qualitative or quantitative indicators. The fifth and sixth approach allow a rigorous interpretation in the framework of neo-classical equilibrium theory. The fourth approach takes an intermediate position, since spill-over on segmented loan markets reveals a willingness to pay with regard to the supposedly less expensive but rationed primary source. Approaches are fairly data demanding in general, usually requiring specific data on loan transactions. Even so, most approaches are applicable to cross-sectional household data. Only dynamic modelling of investment decisions necessitates the availability of panel data, therefore restricting the applicability in low-income and transition countries. With the exception of the first, all methods surveyed might plausibly be used to empirically detect credit rationing. JEL: Q 12, Q 14. Die empirische Analyse von Marktversagen auf ländlichen Kreditmärkten ist in den vergangenen Jahren von hohem wissenschaftlichen und politischen Interesse gewesen. Ziel dieses ...
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