Skip to main content

Advertisement

Log in

Rural Development Index (RDI) and GHG emissions of agricultural and livestock production: a spatial analysis of the Brazilian states

  • Published:
Environment, Development and Sustainability Aims and scope Submit manuscript

Abstract

Keeping the relationship between economic development, humankind and the environment in balance has been one of the main challenges of economic policies and science in recent years. Such concerns are recurrent when it comes to climate change and the dependence of the economic process on finite resources. In this way, the present study aims to assess Greenhouse Gases (GHG) emissions from the agricultural and livestock production and the Rural Development Index (RDI), seeking to identify the spatial relationship of these two variables among Brazilian states in 2010. The methodology used to meet the objective was the Exploratory Analysis of Spatial Data (EASD), which incorporates spatial factors. The main results obtained show that both RDI and emissions are positively influenced by space. Different patterns of association were observed among Brazilian states: states characterized by low emissions and high RDI; high emissions and high RDI; and low emissions and low RDI. Most parts of the states with high emissions are relevant livestock producers. It indicates, thus, that investments in more sustainable practices for livestock production allied with the promotion of welfare shall be encouraged. Although being a time cut, this study brings evidence that high levels of rural development, in its broad sense, do not always mean high emissions rates, the latter depending more on the type of agricultural and livestock activity practiced.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Source: elaborated with research results. Note: RDI values range from 0 to 1, GHG metric is tons of equivalent carbon dioxide

Fig. 3
Fig. 4

Similar content being viewed by others

Availability of data and material

The authors declare that the data supporting the findings of this study are available within the article and its supplementary information files.

Notes

  1. Understood here in the terms defined by Georgescu-Roegen (1971), where entropy represents the energy that does not generate work (from physics definition). The world’s general trend is the maximum entropy, where energy assumes a disordered form. Therefore, low entropy means the opposite. That is, an ordered form of energy, with a higher potential of generating work.

References

Download references

Acknowledgements

The authors gratefully acknowledge the financial assistance of the Agribusiness Postgraduate Program of Federal University of Rio Grande do Sul—Brazil and the Coordination for the Improvement of Higher Education Personnel—Brazil (CAPES, initials in Portuguese) for doctoral scholarships (Processes numbers 88887.498823/2020-00, 88882.439350/2019-01, 88887.488799/2020-00 and 88882.457565/2019-01).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Gabrielli Martinelli.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 223 kb)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Batistella, P., Presotto, E., Lovato, L.G. et al. Rural Development Index (RDI) and GHG emissions of agricultural and livestock production: a spatial analysis of the Brazilian states. Environ Dev Sustain 26, 3147–3164 (2024). https://doi.org/10.1007/s10668-022-02777-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10668-022-02777-7

Keywords

Navigation