The Mainspring of World Food production

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F16%3A73378" target="_blank" >RIV/60460709:41330/16:73378 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/60460709:41340/16:73378

Výsledek na webu

<a href="http://dx.doi.org/10.13140/RG.2.2.31345.89445" target="_blank" >http://dx.doi.org/10.13140/RG.2.2.31345.89445</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.13140/RG.2.2.31345.89445" target="_blank" >10.13140/RG.2.2.31345.89445</a>

Jazyk výsledku

angličtina

Název v původním jazyce

The Mainspring of World Food production

Popis výsledku v původním jazyce

This article draws on world agriculture and rural development for the last 54 years (1960-2014) to assess their influence on the featured indicators. The research methods will be applied with (1) estimation of 22 countries output indicators for agriculture and rural development using the World Bank Open Data for 248 countries (2) based on the featured indicators, the efficiency of path analyses output model will be calculated. The indicators will be used in a Structural Equation Modeling (SEM) approach to determine the adjustment on model of world food production and rural development. In order to produce coherent results, all indicators (the country specific cases by factor analyses and principal component in (1) as well as the SEM in (2). The methodology showed a fit model that changes in demand conditions and factor conditions, which both of them can explain a better positive contribution to the production possibilities in almost all countries and biased change were estimated. This paper concludes

Název v anglickém jazyce

The Mainspring of World Food production

Popis výsledku anglicky

This article draws on world agriculture and rural development for the last 54 years (1960-2014) to assess their influence on the featured indicators. The research methods will be applied with (1) estimation of 22 countries output indicators for agriculture and rural development using the World Bank Open Data for 248 countries (2) based on the featured indicators, the efficiency of path analyses output model will be calculated. The indicators will be used in a Structural Equation Modeling (SEM) approach to determine the adjustment on model of world food production and rural development. In order to produce coherent results, all indicators (the country specific cases by factor analyses and principal component in (1) as well as the SEM in (2). The methodology showed a fit model that changes in demand conditions and factor conditions, which both of them can explain a better positive contribution to the production possibilities in almost all countries and biased change were estimated. This paper concludes

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

AGRARIAN PERSPECTIVES XXV: GLOBAL AND EUROPEAN CHALLENGES FOR FOOD PRODUCTION, AGRIBUSINESS AND THE RURAL ECONOMY

ISBN

978-8-0213-2670-5

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

304-311

Název nakladatele

CZECH UNIVERSITY LIFE SCIENCES PRAGUE, DEPT SYSTEMS ENG, KAMYCKA 129, PRAGUE 6 165 21, CZECH REPUBLIC

Místo vydání

Praha

Místo konání akce

Praha

Datum konání akce

14. 9. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000391137000039