Skip to main content
SpringerLink
Log in

An Approach to the Determinants of the Agricultural Output Dynamics in the USA

  • Chapter
  • First Online:
The Agricultural Economics of the 21st Century

  • 1095 Accesses

Abstract

The USA has a determinant position across the whole economic world, as well in the agricultural economic dynamics of the several continents. Considering this context, we present here a study that is intended to analyze the interrelationship across the agricultural output and the other variables related to the context in the USA. It is aimed, also, towards investigating the evolution of the variables considered since 1961 until 2012. For that, the World Bank database (Several statistics; 2014) was considered and we used time series econometric instruments, through the Stata (Statistics/Data analysis, StataCorp, LP; 2014) software and taking into account as a base model the Cobb and Douglas (Am Econ Rev, 18(Suppl), 139–165; 1928) function of production in a linear format. This work aims to be an approach among others and as its main conclusion, by referring that in the US economy many changes occurred over the last few decades, namely within the agricultural economics with reductions in the weight of the land and employment used in the agricultural sector.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Bowman, M. S., & Zilberman, D. (2013). Economic factors affecting diversified farming systems. Ecology and Society, 18(1), 33.

    Article  Google Scholar 

  • Bruno, F. M. R., Azevedo, A. F. Z., & Massuquetti, A. (2012). The agricultural subsidies in international trade: The policies adopted by the European Union and the United States of America. Ciência Rural, 42(4), 757–764.

    Article  Google Scholar 

  • Cobb, C. W., & Douglas, P. H. (1928). A theory of production. American Economic Review, 18(Suppl), 139–165.

    Google Scholar 

  • Ghebremichael, L. T., Veith, T. L., & Hamlett, J. M. (2013). Integrated watershed- and farm-scale modeling framework for targeting critical source areas while maintaining farm economic viability. Journal of Environmental Management, 114, 381–394.

    Article  Google Scholar 

  • Jewett, A. (2013). The social sciences, philosophy, and the cultural turn in the 1930s USDA. Journal of the History of the Behavioral Sciences, 49(4), 396–427.

    Google Scholar 

  • Latta, G. S., Baker, J. S., Beach, R. H., Rose, S. K., & McCarl, B. A. (2013). A multi-sector intertemporal optimization approach to assess the GHG implications of U.S. forest and agricultural biomass electricity expansion. Journal of Forest Economics, 19, 361–383.

    Article  Google Scholar 

  • Mukherjee, D., Bravo-Ureta, B. E., & Vries, A. D. (2013). Dairy productivity and climatic conditions: econometric evidence from South-eastern United States. The Australian Journal of Agricultural and Resource Economics, 57, 123–140.

    Article  Google Scholar 

  • Rickard, B. J., Okrent, A. M., & Alston, J. M. (2013). How have agricultural policies influenced caloric consumption in the United States? Health Economics, 22, 316–339.

    Article  Google Scholar 

  • Schimmelpfennig, D. E., O’Donnell, C. J., & Norton, G. W. (2006). Efficiency effects of agricultural economics research in the United States. Agricultural Economics, 34, 273–280.

    Article  Google Scholar 

  • Stata. (2014). Statistics/Data analysis. StataCorp, LP.

    Google Scholar 

  • World Bank (2014). Several statistics. Washington, DC: World Bank.

    Google Scholar 

  • Zhang, Y., & Wu, S.-Y. (2013). Fine scale modeling of agricultural air quality over the Southeastern United States using two air quality models. Part II. Sensitivity studies and policy implications. Aerosol and Air Quality Research, 13, 1475–1491.

    Google Scholar 

  • Zia, H., Harris, N. R., Merrett, G. V., Rivers, M., & Coles, N. (2013). The impact of agricultural activities on water quality: A case for collaborative catchment-scale management using integrated wireless sensor networks. Computers and Electronics in Agriculture, 96, 126–138.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Agricultural School, Polytechnic Institute of Viseu, 3500, Viseu, Portugal

    Vítor João Pereira Domingues Martinho

Authors
  1. Vítor João Pereira Domingues Martinho
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Vítor João Pereira Domingues Martinho .

Editor information

Editors and Affiliations

  1. Agricultural School, Polytechnic Institute of Viseu, Viseu, Portugal

    Vítor João Pereira Domingues Martinho

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Martinho, V.J.P.D. (2015). An Approach to the Determinants of the Agricultural Output Dynamics in the USA. In: Martinho, V. (eds) The Agricultural Economics of the 21st Century. Springer, Cham. https://doi.org/10.1007/978-3-319-09471-7_2

Download citation

Publish with us

Policies and ethics

Search

Navigation