Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ EconStorarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
EconStor
Research . 2019
Data sources: EconStor
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Crescimento agrícola, eficiência técnica e sustentabilidade ambiental

Authors: da Silva, Felipe Pinto; Vieira Filho, José Eustáquio Ribeiro;

Crescimento agrícola, eficiência técnica e sustentabilidade ambiental

Abstract

The objective of the present study is to estimate the factors that influencing global agricultural production, as well as to assess the technical efficiency of countries, taking account the context of climate change. The problem is: are countries that seek productive solutions to increase productivity and competitiveness the most efficient in a sustainable production logic? It is believed that the countries that increased the most production were those that intensified the emission of GHG (Greenhouse Gases), which leads to associate the false interpretation that growing countries pollute more. The hypothesis to be tested, therefore, is: the countries that grew the most (or increased production) were those that used the most technology that sequesters carbon, increasing its technical efficiency. To do this, a Stochastic Frontier model was used, based on the 1992-2014 data from 118 countries, available from the US Department of Agriculture (USDA), the World Bank and the Food Agriculture Organization (FAO). The study show that sustainable solutions in agricultural production, which increase the capacity of CO2 capture by soil, imply an increase in productive efficiency and that these measures are not fully disseminated worldwide, only in countries listed as more technically efficient.

Keywords

climate change, Q54, D24, production, Q1, agriculture, ddc: ddc:330

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Energy Research