Abstract

Direct payments represent a large share of Swiss farmers' total household income but compliance with related requirements often entails a high administrative burden. This causes individuals to experience policy implementation as onerous. Based on a framework for administrative burden in citizen-state interactions, we test whether farmers' individual knowledge, psychological costs and compliance costs help to explain their perception of administrative burden related to direct payments. We refine this framework by testing different specifications of interrelations between psychological costs and perceived administrative burden based on findings from policy feedback theory and education research. Structural Equation Modeling (SEM) is applied to data collected from a representative sample of 808 Swiss farmers by postal questionnaire in 2019. We find that compliance costs and psychological costs contribute significantly to the perceived administrative burden. In contrast, farmers' knowledge level contributes to this perception not directly but indirectly, with higher knowledge reducing psychological costs. Our results support policy feedback theory, in that a high level of administrative burden increases psychological costs. Furthermore, well-educated and well-informed farmers show a more positive attitude toward agricultural policy and thus perceive administrative tasks as less onerous. Policy-makers should invest in the reduction of administrative requirements to reduce compliance costs.

Highlights

  • For Swiss farmers, area-based or animal-based direct payments granted by the government for the delivery of public goods such as biodiversity and fresh air, represent an important income contribution

  • We refine the framework by testing different specifications of interrelations between psychological costs and the perceived administrative burden based on findings from policy feedback theory and education research

  • The administrative burden in citizen-state interactions can be tackled in the realm of agricultural policy! By applying Structural Equation Modeling (SEM), we are able to refine and test the theoretical framework developed by [11] in the context of the Swiss cross-compliance and direct-payment policy

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Summary

Introduction

For Swiss farmers, area-based or animal-based direct payments granted by the government for the delivery of public goods such as biodiversity and fresh air, represent an important income contribution. The average annual farm income of a Swiss farmer amounts to CHF 67,190, whereby CHF 73’746 come from direct payments [1]. To reduce the negative environmental impacts of agricultural production, direct payments are linked to environmental cross-compliance standards [2]. In the last 20 years, a number of voluntary agri-environmental programs have been introduced in order to preserve biodiversity on farmland, landscape quality, or to promote animal-friendly housing systems. Farmers participating in agri-environmental programs have to meet program-specific requirements.

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