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Spatial approach to yield of second corn crop in paraná state

Author

Listed:
  • Paula Junior, Amarildo de
  • José Oliveira e Silva Rosalem, Leonardo
  • Matheus Tonin, Julyerme
  • Florindo Alves, Alexandre

Abstract

This study aimed to investigate factors that increase corn crop yield in the second crop in Paraná State, Brazil. For that purpose, we used a spatial approach to evaluate the correlation between second corn crop yield and the variables of labor force, mechanization, technical guidance, access to financing, and soybean crop yield (crop succession system). We used data from the Agricultural Census and the Municipal Agricultural Survey for the years 2006 and 2017. The methodological approach includes Exploratory Spatial Data Analysis and spatial regressions by unrestricted and restricted samples (spatial regimes). The findings show that mechanization, technical guidance and soybean yield positively affect second corn crop productivity in Paraná. The robustness of these positive effects is also found in regressions by spatial regimes. In conclusion, the study highlights the importance of crop succession systems and regional production arrangements in generating productivity gains in the second corn crop.

Suggested Citation

  • Paula Junior, Amarildo de & José Oliveira e Silva Rosalem, Leonardo & Matheus Tonin, Julyerme & Florindo Alves, Alexandre, 2025. "Spatial approach to yield of second corn crop in paraná state," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 23(2), pages 1-20.
    • Handle: RePEc:zbw:espost:342684
    DOI: 10.25070/rea.v23i2.18145
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    References listed on IDEAS

    as
    1. Hayami, Yujiro & Ruttan, Vernon W, 1970. "Agricultural Productivity Differences Among Countries," American Economic Review, American Economic Association, vol. 60(5), pages 895-911, December.
    2. Fabio L. Mattos & Rodrigo Lanna Franco da Silveira, 2018. "The Expansion of the Brazilian Winter Corn Crop and Its Impact on Price Transmission," IJFS, MDPI, vol. 6(2), pages 1-17, April.
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    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • Q10 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - General

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