In this paper, we employ a meta-regression analysis approach to synthesize empirical evidence on the average partial effects of eleven adoption determinants that regularly appear in empirical studies examining farmer's adoption behavior worldwide. Our analysis considers a total of 122 studies from the adoption literature using discrete choice models that are published in 24 peer-reviewed journals since 1985, covering farmer's adoption behavior around the world and for a wide variety of agricultural technologies.
This paper develops a novel empirical framework for estimating individual emission levels in a nonpoint source (NPS) pollution problem. For doing so we incorporate into the GME model suggested by Kaplan et al., (2003) a specific theoretical structure describing both crop production technology and nature's residual generating mechanism based on the multiple production relations model suggested by Murty et al, (2012) fitted into a parametric stochastic framework.
The present paper develops a novel methodology for measuring the economic losses resulting from the negative health impacts of pesticides while taking into account their role as a damage control agent. To this effect a production model is presented that takes into account both the effect of the health impairment caused by pesticides on labor units and the pest control and crop enhancing properties of pesticides.
This paper develops a theoretical framework for modeling farm households' joint production and consumption decisions in the presence of technical inefficiency. Following Lopez (1984), a household model where farmers display different preferences between on-farm and off-farm labor is adopted while their production activity can be subject to technical inefficiency. The presence of technical inefficiency does not only lead to the inability of farmers to achieve maximal output but it will also affect the consumption allocation and the household's labor supply decisions through its effect on both income and on the shadow price of on-farm labor, leading to overall household inefficiency.
We used data from a 6-year survey of 60 apiaries in Greece and economic modelling to assess at the field level the effects of neonicotinoid insecticides on honey production. Based on production function estimates, we found that sub-lethal concentrations of two widely used neonicotinoid insecticides (imidacloprid and thiamethoxam) detected in the nectar of flowers resulted in substantial losses in honey production for commercial beekeepers in our sample.
This paper develops a consistent theoretical framework for measuring irrigation water effectiveness and its impact on productivity growth rates by assuming a smooth transition process from traditional to modern irrigation technologies among individual farmers.
The present paper extents the existing literature providing a theoretically consistent framework for decomposing TFP growth taking into account the indirect effect of pesticides use on farm production.
The structure of farming activity under the provisions of the generalized regime of the Common Agricultural Policy involving both the first and second pillar elements is modeled.
The paper discusses the design of optimal regulatory policies under an alternative analytical framework of unbounded and bounded rationality, by considering the mechanism that provides the type of the optimal CAP instruments that ensure the collective attainment of a social environmental target, along with the type of interdependence characterizing them
Farming activity is modeled under an intervention policy regime, combining the environmental requirements of the Council Nitrates Directive and the compensatory provisions of the second pillar of the Common Agricultural Policy
The Inverse Almost Ideal Demand System is employed for the empirical analysis of the demand for organic, integrated-agriculture, and conventional fresh vegetables, using a cross section data surveyed in Rethymno, Greece during the 2005-06 period.
The present paper develops an econometric model for measuring input-oriented technical efficiency when the underlying technology is characterized by the lack of substitution between inputs.
The objective of this paper is to present a theoretical framework that conceptualizes technology adoption as a decision process involving information acquisition by farmers who face yield uncertainty and vary in their risk preferences.
This paper extends the primal decomposition of TFP changes to the case of non- neutral production frontiers. Output growth is decomposed into input growth (size effect), changes in technical efficiency, technical change, and the effect of returns to scale.
Utilizing a stochastic frontier approach, this paper examines the importance that input-oriented technical and scale efficiency may have for Greek cotton farmers in the context of the current EU cotton policy.
The objective of the paper is to model the degree of organic farming adoption as well as the importance of technical information acquisition in the adoption decision process.
This article attempts to integrate the production- and the efficiency-based approaches for evaluating the impact of extension on farms' performance.
This paper provides a decomposition of output growth among olive-growing farms in Greece during the period 1987-1993 by integrating Bauer’s (1990) and Bravo-Ureta and Rieger’s (1991) approaches.
A stochastic Cobb-Douglas production frontier is used to provide estimates of output-oriented technical efficiency, input-oriented technical efficiency, input allocative efficiency and cost efficiency for a sample of seabass and seabream farms in Greece.
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