scholarly journals Measuring the Effect of Agricultural Extension on Technical Efficiency in Crop Farming: Meta-Regression Analysis

2018 ◽  
Author(s):  
Nicolas Lampach ◽  
Nguyen Van Phu ◽  
Nguyen To The
Keyword(s):  
Regression Analysis ◽  
Technical Efficiency ◽  
Agricultural Extension ◽  
Crop Farming ◽  
Meta Regression ◽  
Meta Regression Analysis

Systematic review and meta-regression analysis of technical efficiency in dairy farms

2016 ◽  
Vol 65 (3) ◽  
pp. 279-301 ◽  
Author(s):  
Taciana Mareth ◽  
Antonio Marcio Tavares Thomé ◽  
Fernando Luiz Cyrino Oliveira ◽  
Luiz Felipe Scavarda
Keyword(s):  
Systematic Review ◽  
Regression Analysis ◽  
Technical Efficiency ◽  
Geographical Location ◽  
Dairy Farms ◽  
Two Dimensions ◽  
Farm Size ◽  
Content Type ◽  
Meta Regression ◽  
Meta Regression Analysis

Purpose – The purpose of this paper is to complement and extend previous literature reviews on Technical Efficiency (TE) in dairy farms, analysing the effects of different methodologies and study-specific characteristics on Mean TE (MTE). Design/methodology/approach – The researchers independently conducted a systematic review of more than 400 abstracts and 85 full-text papers. Original keywords were applied to seven key electronic databases. Results from a meta-regression analysis of 85 published papers totalling 443 TE distributions in dairy farms worldwide are discussed. Findings – The variation in the MTE indexes reported in the literature can be explained by the methodology of estimations (method of estimation, functional form of frontier models, model dimensionality), the farms geographical location and farm size. Additionally, the results suggest that, given the state of technology prevailing in each country at the time that the studies on TE were conducted, dairy farmers in the sample could increase milk output by 20.9 per cent (level of inefficiency), on average, if they produce on their frontiers. Originality/value – This study makes two important contributions: first, it updates and compares previous works on frontier estimation of TE in dairy farms; and second, it adds two dimensions of dairy farms, size (herd and land area) and economic development, to the known differentials of TE measurement.

scholarly journals The Role of Agricultural Extension Programs On Crop Farming Technical Efficiency

2021 ◽  
Author(s):  
Nicolas Lampach ◽  
Phu Nguyen-Van ◽  
Nguyen To-The ◽  
Tuan Nguyen-Anh
Keyword(s):  
Technical Efficiency ◽  
Agricultural Development ◽  
Meta Analysis ◽  
Agricultural Extension ◽  
Jel Classification ◽  
Model Specification ◽  
Farm Productivity ◽  
Country Level ◽  
Crop Farming ◽  
Meta Regression Analysis

Abstract Extension services have become the gold standard for agricultural development programs to spur farm productivity and enhance farmers’ livelihood. Scholars from distinct strands of research have contested the virtues of these programs as systematic reviews failed to disentangle the different causal paths. We aim to unpack the relationship between these two constructs, and more specifically explore the main determinants causing systematic variabilities of the technical efficiency estimates from well-known published crop-farming studies. A meta-regression analysis is implemented by collating 335 observations from 199 farm-level studies to review the direct impact of agricultural extension activities on farming performance. While the implementation of expansion programs tends to be non-randomly distributed in our sample, we employ the inverse probability of treatment weighting to correct for potential selection bias. The absence of a publication bias in found studies our meta-analysis is empirically identified. Our empirical findings are robust when multiple imputation method is employed to mitigate the missingness of observations. Consonant with the theory of agricultural extension, we find that extension significantly improves technical efficiency by 4.8% to 7.6%. Farm productivity significantly differs in country level characteristics, type of crops and model specification.JEL Classification: Q16, O18, C14, C29

scholarly journals Technical efficiency in farming: a meta-regression analysis

2006 ◽  
Vol 27 (1) ◽  
pp. 57-72 ◽  
Author(s):  
Boris E. Bravo-Ureta ◽  
Daniel Solís ◽  
Víctor H. Moreira López ◽  
José F. Maripani ◽  
Abdourahmane Thiam ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Technical Efficiency ◽  
Meta Regression ◽  
Meta Regression Analysis

scholarly journals The Elasticity of Taxable Income: A Meta-Regression Analysis*

2021 ◽  
Author(s):  
Carina Neisser
Keyword(s):  
Regression Analysis ◽  
Policy Analysis ◽  
Selective Reporting ◽  
Tax Base ◽  
Taxable Income ◽  
Income Elasticities ◽  
Elasticity Of Taxable Income ◽  
Meta Regression ◽  
Meta Regression Analysis ◽  
Key Parameter

Abstract The elasticity of taxable income (ETI) is a key parameter in tax policy analysis. To examine the large variation found in the literature of taxable and broad income elasticities, I conduct a comprehensive meta-regression analysis using information from 61 studies containing 1,720 estimates. My findings reveal that estimated elasticities are not immutable parameters. They are correlated with contextual factors and the choice of the empirical specification influences the estimated elasticities. Finally, selective reporting bias is prevalent, and the direction of bias depends on whether deductions are included in the tax base.

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