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	Provedor de dados AgEcon (24) ArchiMer (4) Ciência Rural (2) Thai Agricultural (1) Autor Ferto, Imre (4) Bakucs, Lajos Zoltan (2) Bojnec, Stefan (2) Carneiro,Antônio Policarpo Souza (2) Cecon,Paulo Roberto (2) Certain, Gregoire (2) Filin, Anatoly (2) Husson, Berengere (2) Katchova, Ani L. (2) Nascimento,Ana Carolina Campana (2) Nascimento,Moysés (2) Planque, Benjamin (2) Puiatti,Guilherme Alves (2) Puiatti,Mário (2) Silva,Fabyano Fonseca e (2) Bonhommeau, Sylvain (1) Boys, Kathryn A. (1) Brauninger, Michael (1) Brind'Amour, Anik (1) Bulut, Harun (1) Mais... Palavra-chave Quantile regression (31) Agricultural Finance (6) Farm Management (6) Agricultural and Food Policy (5) Consumer/Household Economics (5) Food Consumption/Nutrition/Food Safety (5) Agribusiness (3) Financial Economics (3) Research Methods/ Statistical Methods (3) C14 (2) C21 (2) Climate change (2) Community/Rural/Urban Development (2) D12 (2) Farm households (2) Habitat suitability models (2) International Relations/Trade (2) Labor and Human Capital (2) Marketing (2) Nonlinear regression (2) Mais... Tipo do documento Conference Paper or Presentation (16) Text (4) Working or Discussion Paper (4) Journal Article (3) Info:eu-repo/semantics/article (2) Collection (1) Presentation (1) Mais... Ano 2020 (4) 2018 (1) 2012 (2) 2011 (6) 2010 (3) 2009 (4) 2008 (3) 2007 (2) 2006 (1) 2005 (3) 2004 (1) 2003 (1) Mais... País United States (24) France (4) Brazil (2) Thailand (1) Idioma Inglês (30) Thailandês (1)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 31 Primeira ... 1 2 ... Última Global marine primary production constrains fisheries catches ArchiMer Chassot, Emmanuel; Bonhommeau, Sylvain; Dulvy, Nicholas K.; Melin, Frederic; Watson, Reg; Gascuel, Didier; Le Pape, Olivier. Primary production must constrain the amount of fish and invertebrates available to expanding fisheries; however the degree of limitation has only been demonstrated at regional scales to date. Here we show that phytoplanktonic primary production, estimated from an ocean-colour satellite (SeaWiFS), is related to global fisheries catches at the scale of Large Marine Ecosystems, while accounting for temperature and ecological factors such as ecosystem size and type, species richness, animal body size, and the degree and nature of fisheries exploitation. Indeed we show that global fisheries catches since 1950 have been increasingly constrained by the amount of primary production. The primary production appropriated by current global fisheries is 17-112% higher... Tipo: Text Palavras-chave: Bottom-up; Large Marine Ecosystem; Quantile regression; Sustainable fishing. Ano: 2010 URL: http://archimer.ifremer.fr/doc/00002/11294/7836.pdf Suitable habitats of fish species in the Barents Sea ArchiMer Husson, Berengere; Certain, Gregoire; Filin, Anatoly; Planque, Benjamin. Many marine species are shifting their distribution poleward in response to climate change. The Barents Sea, as a doorstep to the fast-warming Arctic, is experiencing large scale changes in its environment and its communities. This paper aims at understanding what environmental predictors limit fish species habitats in the Barents Sea and discuss their possible evolution in response to the warming of the Arctic. Species distribution models usually aim at predicting the probability of presence or the average abundance of a species, conditional on environmental drivers. A complementary approach is to determine suitable habitats by modelling the upper limit of a species’ response to environmental factors. Using quantile regressions, we model the upper limit... Tipo: Text Palavras-chave: Quantile regression; Habitat suitability models; Climate change; Species distribution; Species shifts; Environmental drivers. Ano: 2020 URL: https://archimer.ifremer.fr/doc/00605/71682/70120.pdf Suitable habitats of fish species in the Barents Sea ArchiMer Husson, Berengere; Certain, Gregoire; Filin, Anatoly; Planque, Benjamin. Many marine species exhibit poleward migrations following climate change. The Barents Sea, a doorstep to the fast‐warming Arctic, is experiencing large scale changes in its environment and its communities. Tracking and anticipating changes for management and conservation purposes at the scale of the ecosystem necessitate quantitative knowledge on individual species distribution drivers. This paper aims at identifying the factors controlling demersal habitats in the Barents Sea, investigating for which species we can predict current and future habitats and inferring those most likely to respond to climate change. We used non‐linear quantile regressions (QGAM) to model the upper quantile of the biomass response of 33 fish species to 10 environmental... Tipo: Text Palavras-chave: Climate change; Environmental niche; Generalized additive models; Habitat suitability models; Limiting factors; Quantile regression; Species distribution. Ano: 2020 URL: https://archimer.ifremer.fr/doc/00641/75352/76099.pdf Benthic prey production index estimated from trawl survey supports the food limitation hypothesis in coastal fish nurseries ArchiMer Day, Louise; Le Bris, Hervé; Saulnier, Erwan; Pinsivy, Lucas; Brind'Amour, Anik. Coastal and estuarine habitats function as nurseries for many commercial marine species. In these ecosystems, the hypothesis that food supply limits juvenile fish density and survival has been widely debated. Direct approaches that test this hypothesis in temperate soft-bottom nurseries are data-intensive as they rely on beam trawl to collect juvenile fish and grab or core to collect their prey within the macrobenthic community. Thus, application has often been limited to a few sampling stations and temporal snapshots. However, scientific beam trawl surveys, conducted periodically in nurseries, sample, besides juvenile fish, benthic invertebrates including potential prey species. Using data collected solely from beam trawl surveys, we tested whether food... Tipo: Text Palavras-chave: Young-of-the-year fish; Macrobenthic production; Trawl; Grab; Bay of Biscay; Quantile regression. Ano: 2020 URL: https://archimer.ifremer.fr/doc/00600/71239/69607.pdf Analyzing the Determinants of Technical Efficiency Among Traditional Dairy Farms in Wisconsin: A Quantile Regression Approach AgEcon Chidmi, Benaissa; Solis, Daniel; Funtanilla, Margil; Cabrera, Victor E.. This study analyzes the determinants of TE among traditional dairy farms in the State of Wisconsin taking into account dairy farms’ heterogeneity. To do so, we first estimate a production frontier and the level of TE using the SPF framework. Then we analyze the determinants of TI using a quantile regression analysis. The results indicate that the determinants of TE affect in very specific ways farmers with different levels of TE. This result confirms our hypothesis on the importance of controlling for farm heterogeneity when analyzing the determinants of TE. This issue is also important from an empirical point of view. Policy makers could improve the effectiveness of their work by targeting specific agricultural services and aid designed for farmers with... Tipo: Conference Paper or Presentation Palavras-chave: Technical efficiency; Dairy; Quantile regression; Agribusiness; Agricultural and Food Policy; Marketing; Production Economics; Productivity Analysis. Ano: 2010 URL: http://purl.umn.edu/61320 Impact of Off-farm Income on Farm Efficiency in Slovenia AgEcon Bojnec, Stefan; Ferto, Imre. Impact of Off-farm Income on Farm Efficiency in Slovenia Tipo: Conference Paper or Presentation Palavras-chave: Off-farm income; Stochastic frontier analysis; Panel regression; Quantile regression; Slovenia; Agricultural Finance; Farm Management. Ano: 2011 URL: http://purl.umn.edu/114258 U.S. Universities' Net Returns from Patenting and Licensing: A Quantile Regression Analysis AgEcon Bulut, Harun; Moschini, GianCarlo. In line with the rights and incentives provided by the Bayh-Dole Act of 1980, U.S. universities have increased their involvement in patenting and licensing activities through their own technology transfer offices. Only a few U.S. universities are obtaining large returns, however, whereas others are continuing with these activities despite negligible or negative returns. We assess the U.S. universities' potential to generate returns from licensing activities by modeling and estimating quantiles of the distribution of net licensing returns conditional on some of their structural characteristics. We find limited prospects for public universities without a medical school everywhere in their distribution. Other groups of universities (private, and public with a... Tipo: Working or Discussion Paper Palavras-chave: Bayh-Dole Act; Quantile regression; Returns to innovation; Skewed distributions; Technology transfer; University patents; Research and Development/Tech Change/Emerging Technologies. Ano: 2006 URL: http://purl.umn.edu/18441 Financial Management and Portfolio Analysis for U.S. Farm and Nonfarm Households AgEcon Katchova, Ani L.. This study examines the portfolio allocation of assets for farm and nonfarm households using the Agricultural Resource Management Survey and the Survey of Consumer Finances. The stylized facts of household finance, including limited participation in equity markets and heterogeneity of asset portfolios, are also confirmed for farm households. However, farm households show fewer differences in participation rates and asset allocation across wealth groups. Probit and conditional regression models indicate that fewer demographic factors affect participation rates and portfolio shares of risky assets for farm than nonfarm households. The aggregate statistics seem overwhelmingly influenced by households with large holdings of risky assets as shown by quantile... Tipo: Journal Article Palavras-chave: Farm households; Financial management; Nonfarm households; Portfolio analysis; Quantile regression; Agricultural Finance; Financial Economics. Ano: 2008 URL: http://purl.umn.edu/48143 Use of Direct Marketing Strategies by Farmers and Their Impact on Farm Business Income AgEcon Uematsu, Hiroki; Mishra, Ashok K.. Direct marketing strategies increasingly have been recognized as a viable business option in U.S. agriculture as they allow producers to receive a better price by selling products directly to consumers. The objective of this study is twofold. Using a national survey, we first estimated a zero-inflated negative binomial model to identify factors affecting the total number of direct marketing strategies adopted by farmers. Then we estimated a quantile regression model to assess the impact of the intensity of adoption of direct marketing strategies on gross cash farm income. The results show that the intensity of adoption has no significant impact on gross cash farm income and that participation in farmers markets is negatively correlated with gross cash farm... Tipo: Journal Article Palavras-chave: Direct marketing strategies; Count data; Gross cash income; Quantile regression; Agribusiness; Agricultural Finance; Farm Management; Production Economics. Ano: 2011 URL: http://purl.umn.edu/105457 The Changing Structure of Commercial Banks Lending to Agriculture AgEcon Nam, Sangjeong; Ellinger, Paul N.; Katchova, Ani L.. Replaced with revised version of paper 06/11/07. Tipo: Conference Paper or Presentation Palavras-chave: Agricultural loan; Agricultural loan growth; Quantile regression; Agricultural Finance. Ano: 2007 URL: http://purl.umn.edu/9913 The Determinants of Self-Employed Income in a Regional Economy AgEcon Swindall, Devin C.; Willis, David B.; Boys, Kathryn A.; Hughes, David W.. Supporters claim that entrepreneurship is critical to building and sustaining the regional economies of urban and rural areas across the nation. Proponents argue that economic development practices that enhance and support entrepreneurship are essential because they cultivate innovation which, in turn, creates new jobs, new wealth, and a better quality of life. However, South Carolina’s real self-employed per capita income has decreased over the last decade. This downward trend highlights the need to examine the drivers of entrepreneurial income. The income of self-employed workers, as opposed to the number of self-employed, is critical to economic development because a major goal of economic policy is to increase incomes not just employment. Identifying... Tipo: Conference Paper or Presentation Palavras-chave: Self-employed income; Entrepreneurship; Quantile regression; Community/Rural/Urban Development; Consumer/Household Economics; Labor and Human Capital; R11; R12. Ano: 2011 URL: http://purl.umn.edu/103957 Impact of Off-farm Income on Farm Efficiency in Slovenia AgEcon Bojnec, Stefan; Ferto, Imre. The paper investigates the impact of off-farm income on farm technical efficiency for the Slovenian Farm Accountancy Data Network farms in the years 2004-2008. Farm stochastic frontier time-varying decay inefficiency is positively associated with total utilised agricultural areas and total labour input, and vice versa with intermediate consumption and fixed assets. We find a positive association between farm technical efficiency and the off-farm income. Farm technical efficiency has increased steadily over time, the process, which was led by the off-farm spill over effect and most efficient farms. Farm technical efficiency is also positively associated with economic farm size, while association with subsidies is mixed depending on the estimation procedure.... Tipo: Conference Paper or Presentation Palavras-chave: Off-farm income; Stochastic frontier analysis; Panel regression; Quantile regression; Slovenia; Farm Management. Ano: 2011 URL: http://purl.umn.edu/108945 New developments in fruit and vegetables consumption in the period 1999-2004 in Denmark - A quantile regression approach AgEcon Hansen, Aslak H.. The development in the consumption of fruit and vegetables in the period 1999-2004 in Denmark was investigated using quantile regression and two previously overlooked problems were identified. First, the change in the ten percent quantile samples decreased. This could have been caused by changes in the distribution of covariates. Therefore, the counterfactual decomposition of Machado and Mata (2005) was used and the methodology established that the change was not caused by alterations in the distribution of covariates but by changes in the coefficients and therefore a change in behaviour. The reason for this development is probably due to low income groups becoming relatively more income constrained since the gap to the high income group have grown... Tipo: Conference Paper or Presentation Palavras-chave: Quantile regression; Counterfactual decomposition; Expenditure distribution; Food Consumption/Nutrition/Food Safety. Ano: 2008 URL: http://purl.umn.edu/44190 GIBRAT'S LAW REVISITED IN A TRANSITION ECONOMY. THE HUNGARIAN CASE AgEcon Bakucs, Lajos Zoltan; Ferto, Imre. The paper investigates the validity of Gibrat's Law in Hungarian agriculture. Employing various specifications including OLS, two-step Heckman model and quantile regressions our results strongly reject Gibrat’s Law for full sample. Estimations suggest that small farms tend to grow faster than larger ones. However, splitting the sample into two subgroups (corporate and family farms) we found different results. For family farms however, only OLS regression results reject Gibrat's Law, whilst the two-step Heckman models and quantile regression estimates support it. Finally, for corporate farms our results support the Law regardless of the method or size measure used. Our results indicate that there is no difference between family farms and corporate farms... Tipo: Conference Paper or Presentation Palavras-chave: Gibrat's Law; Selection bias; Quantile regression; Transition agriculture; Farm Management; Research Methods/ Statistical Methods. Ano: 2007 URL: http://purl.umn.edu/7813 Export Intensity and Plant Characteristics: What Can We Learn from Quantile Regression? AgEcon Wagner, Joachim. Using quantile regression and a rich cross section data set for German manufacturing plants this paper documents that the impact of plant characteristics on export activities varies along the conditional size distribution of the export/sales ratio. Tipo: Working or Discussion Paper Palavras-chave: Exports; Quantile regression; Heterogeneous firms; International Relations/Trade; F10; D21; L60. Ano: 2004 URL: http://purl.umn.edu/26390 The Impact of Human Capital on Farm Operator Household Income AgEcon El-Osta, Hisham S.. Data from the 2006 Agricultural Resource Management Survey and multivariate regression procedures are used to examine the role of human capital in impacting the incomes of farm households. The paper uses an “adjusted” concept of income where government payments are subtracted from total household income thus allowing for the utilization of government payments as a potential control variable in the regression models. Findings indicate a significant and positive role for higher education except for farm households at the very lower and upper ends of the income distribution. Tipo: Journal Article Palavras-chave: Farm households; ARMS data; Quantile regression; Government payments; Human capital; Off-farm wages and salaries; Agricultural Finance; Consumer/Household Economics; Farm Management; Financial Economics; Labor and Human Capital. Ano: 2011 URL: http://purl.umn.edu/106062 Public Policies and the Demand for Carbonated Soft Drinks: A Censored Quantile Regression Approach AgEcon Gustavsen, Geir Waehler. Heavy consumption of soda may contribute to obesity, strokes, and cardiac problems. From a health perspective, the distribution of the consumption is at least as important as the mean. Censored as well as ordinary quantile regression techniques were used to estimate the demand for sugary soda based on household data from 1989 to 1999. It was found that heavy drinkers are more price- and expenditure-responsive than are light drinkers. The study shows that increasing the taxes on carbonated soft drinks will lead to a small reduction in consumption for small and moderate consumers and a huge reduction for heavy consumers. Tipo: Conference Paper or Presentation Palavras-chave: Soda demand; Quantile regression; Taxes; Agricultural and Food Policy; Food Consumption/Nutrition/Food Safety; D12; I10. Ano: 2005 URL: http://purl.umn.edu/24737 What Are the Consequences of United States Government Slaughter Policies on Horse Prices? AgEcon Vestal, Mallory K.; Lusk, Jayson L.; Cooper, Steven R.; Ward, Clement E.. As a result of several judicial rulings, the processing of horses for human consumption came to a halt in 2007. This article determines the impact horse prices suffered as a result of the elimination of horse processing facilities. A quantile regression approach is applied and is useful, as horses of varying quality were impacted differently. The authors acknowledge that the slaughter ban occurred alongside the U.S. economic downturn and attempts to account for the recession to adequately asses the policy effect. Tipo: Presentation Palavras-chave: Horse processing; Slaughter; Quantile regression; Price; Agricultural and Food Policy. Ano: 2012 URL: http://purl.umn.edu/119766 Does Gibrat's Law Hold Amongst Dairy Farmers in Northern Ireland? AgEcon Kostov, Philip; Patton, Myles; Moss, Joan E.; McErlean, Seamus. This paper tests whether the Law of Proportionate Effects (Gibrat, 1931), which states that farms grow at a rate that is independent of their size, holds for the dairy farms in Northern Ireland. Previous studies have tended to concentrate on testing whether the law holds for all farms. The methodology used in this study permits investigation of whether the law holds for some farms or all farms according to their size. The approach used avoids the subjective splitting of samples, which tends to bias results. The finding shows that the Gibrat law does hold except in the case of small farms. This is in accordance with previous findings that Gibrat's law tends to hold when only larger farms are considered, but tends to fail when smaller farms are included in... Tipo: Conference Paper or Presentation Palavras-chave: Gibrat's law; Quantile regression; Sample selection bias; Integrated Conditional Moments test; Agricultural and Food Policy; C12; C14; O49; Q19. Ano: 2005 URL: http://purl.umn.edu/24775 Changes in Fruit and Vegetable Consumption over Time and across Regions in China: A Difference-in-Differences Analysis with Quantile Regression AgEcon Liu, Kang Ernest; Chang, Hung-Hao; Chern, Wen S.. Recently, there has been considerable interest in estimating food demand structure in China due to its huge market for food products. Previous literature has focused on the primary food products such as grains and meats, but studies on fruits and vegetables are limited. To fulfill this gap, this paper investigates the changes of fruit and vegetable consumption in Chinese urban households between 1993 and 2001. In this study, we use the difference-in-differences method with quantile regression to demonstrate how these changes of fruit and vegetable consumption over time may differ across regions. Additionally, how these changes may differ over the entire distribution. Using household survey data from 1993 and 2001 of three selected provinces, our results... Tipo: Conference Paper or Presentation Palavras-chave: Fruit and vegetable consumption; China; Inequality; Quantile regression; Difference-in-differences model.; Food Consumption/Nutrition/Food Safety. Ano: 2008 URL: http://purl.umn.edu/6531 Registros recuperados: 31 Primeira ... 1 2 ... Última

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