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European Agriculture in 2020: Solutions for a Sustainable Development

European Agriculture in 2020: Solutions for a Sustainable Development

Silvia Elena Cristache, Florica Georgeta Rotaru, Elena Cristina Rotaru
Copyright: © 2019 |Pages: 28
ISBN13: 9781522557395|ISBN10: 1522557393|ISBN13 Softcover: 9781522588054|EISBN13: 9781522557401
DOI: 10.4018/978-1-5225-5739-5.ch012
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MLA

Cristache, Silvia Elena, et al. "European Agriculture in 2020: Solutions for a Sustainable Development." Agrifood Economics and Sustainable Development in Contemporary Society, edited by Gabriel Popescu, IGI Global, 2019, pp. 247-274. https://doi.org/10.4018/978-1-5225-5739-5.ch012

APA

Cristache, S. E., Rotaru, F. G., & Rotaru, E. C. (2019). European Agriculture in 2020: Solutions for a Sustainable Development. In G. Popescu (Ed.), Agrifood Economics and Sustainable Development in Contemporary Society (pp. 247-274). IGI Global. https://doi.org/10.4018/978-1-5225-5739-5.ch012

Chicago

Cristache, Silvia Elena, Florica Georgeta Rotaru, and Elena Cristina Rotaru. "European Agriculture in 2020: Solutions for a Sustainable Development." In Agrifood Economics and Sustainable Development in Contemporary Society, edited by Gabriel Popescu, 247-274. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-5739-5.ch012

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Abstract

The chapter is structured in two parts: the first part presents the agricultural policy of the European Union in accordance with the Treaty of Lisbon and the Europe 2020 Strategy. At the same time, the National Rural Development Program of Romania is presented. In the second part of the chapter an econometric analysis of the agricultural sector is made. The linear multifactorial regression model presented in the second part of the chapter was based on data provided by Eurostat: surface cultivated with pesticides, GDP/capita, net investment in agriculture. The model proposed in this chapter explains and highlights the existence of a positive, linear, and significant relationship between the variables included in the model. The multiple linear regression model indicates that, with the increase of one million euros per GDP, the value of the surface cultivated with pesticides in Romania will grow by an average of 132.08 hectares.

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