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Nonparametric estimation of returns to scale: method and application
The paper describes a method of estimating variable returns to scale in production that adaptively fits spline functions, using model selection criteria, to determine the appropriate number and location of break points for a fixed factor of production. Unlike other approaches, the method obtains non...
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Published in: | Canadian journal of agricultural economics 2000-11, Vol.48 (3), p.341-354 |
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container_end_page | 354 |
container_issue | 3 |
container_start_page | 341 |
container_title | Canadian journal of agricultural economics |
container_volume | 48 |
creator | Fox, K.J Grafton, R.Q |
description | The paper describes a method of estimating variable returns to scale in production that adaptively fits spline functions, using model selection criteria, to determine the appropriate number and location of break points for a fixed factor of production. Unlike other approaches, the method obtains nonparametric estimates of variable returns to scale for small samples while ensuring global curvature and flexibility properties are maintained. An application of the method is presented using data from the British Columbia sablefish fishery.
Les auteurs décrivent une méthode d'estimation des variations de rentabilité en fonction de l'échelle de production susceptibles de s'ajuster è des fonctions spline, utilisant des critéres modèles de sélection pour déterminer le nombre et la situation des seuils de rentabilité pour unfacteur de production fixe. À la différence d‘autres avenues d‘analyse, la méthode permet d‘obtenir des valeurs non paramétriques de la rémunération variable selon l'échelle, è partir de petits échantillons, tout en garantissant le maintien de la courbure générale et de la souplesse d'application. Les auteurs proposent une application de la methode, utilisant les données des pêches de morue charbonnière en Colombie‐Britannique. |
doi_str_mv | 10.1111/j.1744-7976.2000.tb00284.x |
format | article |
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Les auteurs décrivent une méthode d'estimation des variations de rentabilité en fonction de l'échelle de production susceptibles de s'ajuster è des fonctions spline, utilisant des critéres modèles de sélection pour déterminer le nombre et la situation des seuils de rentabilité pour unfacteur de production fixe. À la différence d‘autres avenues d‘analyse, la méthode permet d‘obtenir des valeurs non paramétriques de la rémunération variable selon l'échelle, è partir de petits échantillons, tout en garantissant le maintien de la courbure générale et de la souplesse d'application. Les auteurs proposent une application de la methode, utilisant les données des pêches de morue charbonnière en Colombie‐Britannique.</description><identifier>ISSN: 0008-3976</identifier><identifier>EISSN: 1744-7976</identifier><identifier>DOI: 10.1111/j.1744-7976.2000.tb00284.x</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Agricultural economics ; Agriculture ; Anoplopoma fimbria ; British Columbia ; Canada ; costs and returns ; econometric models ; Economics ; Economies of scale ; equations ; Estimation ; factors of production ; Fisheries ; Fishery industry ; Fishing industry ; net revenue function ; Production management ; profits and margins ; Returns to scale ; spline model ; Statistical models</subject><ispartof>Canadian journal of agricultural economics, 2000-11, Vol.48 (3), p.341-354</ispartof><rights>Copyright Agricultural Institute of Canada Nov 2000</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4681-cdc05c46919af4838527ecd0ffa919bf27ec22e7f719e57070cb3362ec1484ba3</citedby><cites>FETCH-LOGICAL-c4681-cdc05c46919af4838527ecd0ffa919bf27ec22e7f719e57070cb3362ec1484ba3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27866,27924,27925,33223,33224</link.rule.ids></links><search><creatorcontrib>Fox, K.J</creatorcontrib><creatorcontrib>Grafton, R.Q</creatorcontrib><title>Nonparametric estimation of returns to scale: method and application</title><title>Canadian journal of agricultural economics</title><description>The paper describes a method of estimating variable returns to scale in production that adaptively fits spline functions, using model selection criteria, to determine the appropriate number and location of break points for a fixed factor of production. Unlike other approaches, the method obtains nonparametric estimates of variable returns to scale for small samples while ensuring global curvature and flexibility properties are maintained. An application of the method is presented using data from the British Columbia sablefish fishery.
Les auteurs décrivent une méthode d'estimation des variations de rentabilité en fonction de l'échelle de production susceptibles de s'ajuster è des fonctions spline, utilisant des critéres modèles de sélection pour déterminer le nombre et la situation des seuils de rentabilité pour unfacteur de production fixe. À la différence d‘autres avenues d‘analyse, la méthode permet d‘obtenir des valeurs non paramétriques de la rémunération variable selon l'échelle, è partir de petits échantillons, tout en garantissant le maintien de la courbure générale et de la souplesse d'application. Les auteurs proposent une application de la methode, utilisant les données des pêches de morue charbonnière en Colombie‐Britannique.</description><subject>Agricultural economics</subject><subject>Agriculture</subject><subject>Anoplopoma fimbria</subject><subject>British Columbia</subject><subject>Canada</subject><subject>costs and returns</subject><subject>econometric models</subject><subject>Economics</subject><subject>Economies of scale</subject><subject>equations</subject><subject>Estimation</subject><subject>factors of production</subject><subject>Fisheries</subject><subject>Fishery industry</subject><subject>Fishing industry</subject><subject>net revenue function</subject><subject>Production management</subject><subject>profits and margins</subject><subject>Returns to scale</subject><subject>spline model</subject><subject>Statistical models</subject><issn>0008-3976</issn><issn>1744-7976</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2000</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><sourceid>8BJ</sourceid><recordid>eNqVkE1P3DAQhi1UpG6B39CIA7ek_krscEGwlG2rFRwo6nHk9do022wc7KxY_n0nDeLQG5Ysz3ieeTXzEnLKaMHwfNkUTEmZq1pVBaeUFsOKUq5lsT8gs7fSBzLDms4Fxh_Jp5Q2mJYVlTNyfRu63kSzdUNsbObS0GzN0IQuCz6LbtjFLmVDyJI1rTvPEPsd1pnp8PZ929h_7DE59KZN7uT1PSIPN19_zr_ly7vF9_nlMrey0iy3a0tLDGtWGy-10CVXzq6p9wa_Vn7MOHfKK1a7UlFF7UqIijvLpJYrI47I2aTbx_C0w1lh2yTr2tZ0LuwSiJpRUbIawdP_wE3ATXA24LTUHJ3RCJ1PkI0hpeg89BGXjy_AKIzuwgZGC2G0EEZ34dVd2GPzxdT83LTu5R2dMP9xuRCSoUI-KTRpcPs3BRP_QKWEKuHX7QJu-FUl9dUSFPKfJ96bAOYxNgke7jllgvKal0rU4i9fEpm3</recordid><startdate>200011</startdate><enddate>200011</enddate><creator>Fox, K.J</creator><creator>Grafton, R.Q</creator><general>Blackwell Publishing Ltd</general><general>Agricultural Institute of Canada</general><scope>FBQ</scope><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TQ</scope><scope>8BJ</scope><scope>C1K</scope><scope>DHY</scope><scope>DON</scope><scope>FQK</scope><scope>JBE</scope><scope>SOI</scope></search><sort><creationdate>200011</creationdate><title>Nonparametric estimation of returns to scale: method and application</title><author>Fox, K.J ; Grafton, R.Q</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4681-cdc05c46919af4838527ecd0ffa919bf27ec22e7f719e57070cb3362ec1484ba3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2000</creationdate><topic>Agricultural economics</topic><topic>Agriculture</topic><topic>Anoplopoma fimbria</topic><topic>British Columbia</topic><topic>Canada</topic><topic>costs and returns</topic><topic>econometric models</topic><topic>Economics</topic><topic>Economies of scale</topic><topic>equations</topic><topic>Estimation</topic><topic>factors of production</topic><topic>Fisheries</topic><topic>Fishery industry</topic><topic>Fishing industry</topic><topic>net revenue function</topic><topic>Production management</topic><topic>profits and margins</topic><topic>Returns to scale</topic><topic>spline model</topic><topic>Statistical models</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fox, K.J</creatorcontrib><creatorcontrib>Grafton, R.Q</creatorcontrib><collection>AGRIS</collection><collection>Istex</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>PAIS Index</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>Environment Abstracts</collection><jtitle>Canadian journal of agricultural economics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fox, K.J</au><au>Grafton, R.Q</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Nonparametric estimation of returns to scale: method and application</atitle><jtitle>Canadian journal of agricultural economics</jtitle><date>2000-11</date><risdate>2000</risdate><volume>48</volume><issue>3</issue><spage>341</spage><epage>354</epage><pages>341-354</pages><issn>0008-3976</issn><eissn>1744-7976</eissn><abstract>The paper describes a method of estimating variable returns to scale in production that adaptively fits spline functions, using model selection criteria, to determine the appropriate number and location of break points for a fixed factor of production. Unlike other approaches, the method obtains nonparametric estimates of variable returns to scale for small samples while ensuring global curvature and flexibility properties are maintained. An application of the method is presented using data from the British Columbia sablefish fishery.
Les auteurs décrivent une méthode d'estimation des variations de rentabilité en fonction de l'échelle de production susceptibles de s'ajuster è des fonctions spline, utilisant des critéres modèles de sélection pour déterminer le nombre et la situation des seuils de rentabilité pour unfacteur de production fixe. À la différence d‘autres avenues d‘analyse, la méthode permet d‘obtenir des valeurs non paramétriques de la rémunération variable selon l'échelle, è partir de petits échantillons, tout en garantissant le maintien de la courbure générale et de la souplesse d'application. Les auteurs proposent une application de la methode, utilisant les données des pêches de morue charbonnière en Colombie‐Britannique.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1111/j.1744-7976.2000.tb00284.x</doi><tpages>14</tpages></addata></record> |
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ispartof | Canadian journal of agricultural economics, 2000-11, Vol.48 (3), p.341-354 |
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language | eng |
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source | International Bibliography of the Social Sciences (IBSS); Wiley; PAIS Index |
subjects | Agricultural economics Agriculture Anoplopoma fimbria British Columbia Canada costs and returns econometric models Economics Economies of scale equations Estimation factors of production Fisheries Fishery industry Fishing industry net revenue function Production management profits and margins Returns to scale spline model Statistical models |
title | Nonparametric estimation of returns to scale: method and application |
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