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Jeroen Buysse

Researcher at Agricultural & Applied Economics Association

Publications -  115
Citations -  3080

Jeroen Buysse is an academic researcher from Agricultural & Applied Economics Association. The author has contributed to research in topics: Agriculture & Water conservation. The author has an hindex of 24, co-authored 108 publications receiving 2431 citations. Previous affiliations of Jeroen Buysse include Ghent University.

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The influence of subjective and objective knowledge on attitude, motivations and consumption of organic food

TL;DR: In this paper, the authors focus on the factors influencing objective and subjective knowledge with regard to organic food production and the relationship between both types of knowledge and consumer attitudes and motivations towards organic food and its consumption.
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Energy consumption, carbon emissions and economic growth nexus in Bangladesh: Cointegration and dynamic causality analysis

TL;DR: In this paper, the authors investigated the possible existence of dynamic causality between energy consumption, electricity consumption, carbon emissions and economic growth in Bangladesh and found that energy consumption can be considered as an important factor for the economic growth.
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Dynamic modeling of causal relationship between energy consumption, CO2 emissions and economic growth in India

TL;DR: In this paper, the authors investigated the causality relationship between energy consumption, carbon dioxide emissions and income in India using a dynamic modeling approach, and provided evidence of the existence of a bi-directional Granger causality between consumption and CO2 emissions.
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A measure for the efficiency of water use and its determinants, a case study of small-scale irrigation schemes in North-West Province, South Africa

TL;DR: In this article, the authors analyzed the efficiency with which water is used in small-scale irrigation schemes in North-West Province in South Africa and studies its determinants, showing that substantial technical inefficiencies, of 49% and 16%, exist among farmers.
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Normative, positive and econometric mathematical programming as tools for incorporation of multifunctionality in agricultural policy modelling

TL;DR: The paper presents three mathematical programming approaches, of which the choice depends on the type of problem and the availability of historical data, and shows how normative mathematical programming (NMP) can help to simulate the impact of new activities when historical data are scarce.