The analysis of indiference and the price elasticity of demand between different categories of agricultural products

Vukadinović, Predrag; Damnjanović, Aleksandar; Krstic-Randjic, Jelena

doi:10.5937/ekopolj1702671v

Cited by 5 publications

(3 citation statements)

References 8 publications

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“…Similar results were reported by Vukadinović et al (2017) who stated that the analysis of the demand elasticity coefficients shows that elasticity of demand is more dominant in comparison to the inelasticity. However, if one takes into account Esto significa que cuando el Precio de exportación de referencia aumenta o disminuye, también aumenta o disminuye el ingreso, siendo directamente proporcionales.…”

Section: Cucumbersupporting

confidence: 88%

“…Resultados similares fueron reportados por Vukadinović et al (2017) quienes afirmaron que el análisis de los coeficientes de elasticidad de la demanda muestra que la elasticidad de la demanda es más dominante en comparación con la inelasticidad. Sin embargo, si se tiene en cuenta la indiferencia de la elasticidad de la demanda, entonces la situación cambia y se hace evidente que la elasticidad de la demanda no domina para la semilla de sorgo y en menor medida para el maíz amarillo.…”

Section: Discussionunclassified

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The price elasticity of the demand and revenue increase for some Mexican planting seeds

2021

RevFacAgron(LUZ)

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The study of the price elasticity of demand (PED) has been and is a current research topic, as it greatly helps the managers of companies to make decisions about the price of their products and the expected repercussions in changing them. The objective of this study was to estimate PED and its impacts on the variation of income (VI) of six planting seed crops from Mexico, such as yellow corn, other corn (except yellow and sweet corn), sorghum, chickpea, pumpkin and cucumber. The data were gathering from the Foreign Agriculture Service (FAS) (1998-2018 period) through the tables provided and published on the Internet (secondary data). In this study, the arc method was applied to calculate PED and VI = ((Pf * Qf * 100) / (Pi * Qi)) - 100. Five of six the planting seed products have a relatively elastic demand price in most of the years, on the contrary the revenue increase had positive and negative values, without a defined trend. Sorghum planting seed has in some cases elastic demand and in other inelastic demand. It is concluded that there are no clear effects of the PED on the sales revenue of the aforementioned products; an aspect that contradicts the theory of PED and its impact on income.

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Section: Cucumbersupporting

confidence: 88%

Section: Discussionunclassified

The price elasticity of the demand and revenue increase for some Mexican planting seeds

2021

RevFacAgron(LUZ)

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“…Numerous studies have been conducted on agricultural product prices these years, mainly of them focus on price influencing factors (Bergmann et al , 2015; Vukadinovic et al , 2017) and price transmission mechanism (Fousekis et al , 2016). Besides these, it is of significant importance to accurately grasp the changing trend of agricultural products price for the sustainable and healthy development of the market.…”

Section: Introductionmentioning

confidence: 99%

An optimized hybrid model based on artificial intelligence for grape price forecasting

Chu

Tian

et al. 2019

BFJ

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Purpose The purpose of this paper is to propose an optimized hybrid model based on artificial intelligence methods, use the method of time series forecasting, to deal with the price prediction issue of China’s table grape. Design/methodology/approach The approaches follows the framework of “decomposition and ensemble,” using ensemble empirical mode decomposition (EEMD) to optimize the conventional price forecasting methods, and, integrating the multiple linear regression and support vector machine to build a hybrid model which could be applied in solving price series predicting problems. Findings The proposed EEMD-ADD optimized hybrid model is validated to be considered satisfactory in a case of China’ grape price forecasting in terms of its statistical measures and prediction performance. Practical implications This study would resolve the difficulties in grape price forecasting and provides an adaptive strategy for other agricultural economic predicting problems as well. Originality/value The paper fills the vacancy of concerning researches, proposes an optimized hybrid model integrating both classical econometric and artificial intelligence models to forecast price using time series method.

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The Model of Demand for Production Factors in Agriculture

Góral

Rembisz

2020

Zagadnienia Ekonomiki Rolnej / Problems of Agricultural Economi

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This publication is theoretical in nature. It attempts to determine a hypothetical relation between the supply of agricultural production determined by the given demand for it on the one hand and the demand for factors involved in the production on the other. It is included in one model of reasoning with the use of regularities and coefficients known in microeconomics. In particular, the demand, supply and production elasticity coefficients were used. The starting point is assumptions resulting from the demand and three-factor function of production and about rational choices of farm producers. The hypothesis that the relation between supply of production for the demand for it and demand for production factors is determined by changes in production efficiency was positively verified by means of theoretical and formal analysis. This was proved by reference to price elasticity of production and supply and price elasticity of demand for production factors in relation to a product. This is an attempt to fill a research gap in this field.

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The analysis of indiference and the price elasticity of demand between different categories of agricultural products

Cited by 5 publications

References 8 publications

The price elasticity of the demand and revenue increase for some Mexican planting seeds

The price elasticity of the demand and revenue increase for some Mexican planting seeds

An optimized hybrid model based on artificial intelligence for grape price forecasting

The Model of Demand for Production Factors in Agriculture

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