he paper develops a novel synthetic population generation scheme to deal with the NPS pollution problem of nitrate leaching from agricultural farms. The scheme relies upon estimation of the joint distribution of the variables using Bayesian network learning which, coupled with the use of non-parametric regression models facilitate the generation of realistic synthetic populations. Then building upon the sequential GME model suggested by Kaplan et al., (2003) in line with the multiple production relations model suggested by Murty et al., (2012) we obtain econometric estimates of both the production technology and nature's residual generating mechanism for the synthetic population of farms. These estimates are used to proxy a reliable optimal taxation scheme that corresponds to local environmental and economic conditions. The methodology is applied to the Greek FADN dataset for the Greek NUTS II region of Thessaly during the 2017-18 cropping year.
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.
In many sectors technological conditions of firm production require the use of specific inputs that are at the same time hazardous for firm workers. Safety rules on the application of these health damaging inputs are not always followed. This in turn implies that firms suffer from important productivity losses due to deterioration of their human capital.
We measure performance on the basis of a publishing productivity index which allows to account for difference in research inputs among departments.
Based on an endogenous growth model, we extent Roubini and Sala-i-Martin (1993) theoretical framework to analyse empirically the relationship between economic growth, announced tax rate and tax monitoring expenses using data from 32 OECD countries during the 1999-2007 period.
In this article we investigate the role of information transmission in promoting agricultural technology adoption and diffusion. We study the influence of two information channels, namely extension services and social learning.
In this article we first develop a theoretically consistent supply-response model for producers with invariant preferences facing price risk, and then we empirically apply the model for a group of Cretan olive-oil producers. For doing so, we estimate a Generalized Leontief cost function and we use the price distribution historically faced by individual farmers to induce three different representations of price risk corresponding to the second, third and fourth lp norms. These risk measures are combined with the estimated cost-structure to provide three separate representations of the efficient frontier for the representative producer.
We develop a biologically correct cost system for production systems facing invasive pests that allows the estimation of population dynamics without a priori knowledge of their true values. We apply that model to a data set for olive producers in Crete and derive from it predictions about the underlying populations dynamics. Those dynamics are compared to information on population dynamics obtained from pest sampling with extremely favorable results.
This paper analyzes the relationship between tax evasion and the two main policy instruments affecting evasion rates, namely, the announced tax rate and the share of tax revenues allocated to tax monitoring mechanisms.
The present study aims to empirically analyze the competing effects of social interactions and conversion subsidies on the adoption of organic farming practices.
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.
This paper develops a parametric decomposition framework of labor productivity growth relaxing the assumption of labor-specific efficiency.
In this paper we present an endogenous growth model to analyze the growth maximizing allocation of public investment among N different types of public capital.
A theoretical framework is developed for decomposing partial factor productivity and measuring technical inefficiency when the underlying technology is characterized by factor non-substitution.
In standard consumer demand analysis, it is implicitly assumed that consumers behave optimally and, thus, efficiently. However, optimality is a restrictive assumption to make for consumers’ actual behaviour. This study moves away from this restrictive assumption and develops a theoretical model for the analysis of consumer’s inefficiency in price-quantity space.
Using the Lichtenberg-Zilberman-Fox-Weersink damage specification, we develop a short-run, supply-response framework based on rational producer behavior in the presence of damage agents.
This paper develops a tractable theoretical framework for analyzing the substitutability between different advertising media, the extent of marketing spillovers in the market, the allocative efficiency of advertising spending, and the sources of total advertising productivity and sales growth.
In this paper drawing from the theoretical framework developed by Shieh et al., (2002), we present an endogenous growth model to empirical analyze the growth maximizing allocation of public capital among military spending and investment in infrastructure.
Due to the assumption that the best practice methods refer to each input separately instead of the whole set of inputs used by a firm, the benchmark technology as defined in the stochastic varying coefficient frontier model may be infeasible and theoretically improper whenever the maximum response coefficients are not coming from the same production unit. To overcome this problem we suggest an alternative procedure for measuring output-oriented and input-specific technical efficiency inspired from the maximum likelihood formulation of the non-neutral frontier model.
We examine whether the use of the environment, proxied by CO2 emissions, as a factor of production contributes, in addition to conventional factors of production to output growth, and thus it should be accounted for in total factor productivity growth (TFPG) measurement and deducted from the "residual".
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 present paper incorporates the Cornwell, Sickless and Schmidt (1990) flexible specification of the temporal pattern of technical efficiency into technical inefficiency effects model. The proposed formulation is then applied to the agricultural sector of the EU and US, during the period 1973-1993.
Using a stochastic frontier approach and a tranlog input distance function, this paper implements the input-oriented Malmquist productivity index to a sample of Greek aquaculture farms.
This paper suggests an alternative way for estimating the gravity equation that takes into consideration country-pair heterogeneity in bilateral trade flows.
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.
The main objective of this paper is to enrich our knowledge on the true effect of real money balances on the production process.
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.
This paper attempts to provide an empirical evaluation of the potential relationship between sectoral linkages and technical efficiency using the 1996 US input-output tables.
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 paper proposes a tractable approach for analyzing the sources of TFP changes (i.e., technical change, changes in technical and allocative inefficiency, and the scale effect) in a multi-output setting, while retaining the single-equation nature of the econometric procedure used to estimate the parameters of the underlying technology.
This article attempts to integrate the production- and the efficiency-based approaches for evaluating the impact of extension on farms' performance.
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.
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.
This paper provides an empirical comparison of time-varying technical inefficiency measures obtained from the econometric estimation of different specifications of the stochastic production frontier model.
The generalized quadratic Box-Cox transformation is used to test the relative performance of alternative, widely used, functional forms and to examine the effect of prior choice on final efficiency estimates.
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