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Causality between Capital Investment and Productivity in Japanese Agriculture, 1957-97

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  • Rahmatullah, A. B. Md.
  • Kuroda, Yoshimi

Abstract

This study examines the causality between total factor productivity (TFP) and capital investment in Japanese agriculture for the period 1957-97. We employ the Granger causality test to determine the causality between the two variables. This study also investigates movements in total output, total input and TFP for average farms of four size classes for the same period. We employ the aggregation technique to estimate total output and total input and use a large pooled cross-section and time series data set. It has been found that both TFP and capital investment had a fairly high growth rate from the mid 1950s to the early 1970s, and thereafter it started declining. The result of this study shows that there is a significant and positive bi-directional Granger-causal relationship between TFP and capital investment in Japanese agriculture over the long term.

Suggested Citation

  • Rahmatullah, A. B. Md. & Kuroda, Yoshimi, 2005. "Causality between Capital Investment and Productivity in Japanese Agriculture, 1957-97," Japanese Journal of Agricultural Economics (formerly Japanese Journal of Rural Economics), Agricultural Economics Society of Japan (AESJ), vol. 7, pages 1-10.
    • Handle: RePEc:ags:jpjjre:242150
    DOI: 10.22004/ag.econ.242150
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    References listed on IDEAS

    as
    1. Yoshima Kuroda, 1988. "Biased Technological Change and Factor Demand in Postwar Japanese Agriculture, 1958‐84," Agricultural Economics, International Association of Agricultural Economists, vol. 2(2), pages 101-122, October.
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    3. Yoshimi Kuroda & Yong‐Sun Lee, 2003. "Output and Input Biases Caused by Public Agricultural Research and Extension in Japan, 1957–1997," Asian Economic Journal, East Asian Economic Association, vol. 17(2), pages 105-128, June.
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    8. Yoshimi Kuroda, 1997. "Research and extension expenditures and productivity in Japanese agriculture, 1960–1990," Agricultural Economics, International Association of Agricultural Economists, vol. 16(2), pages 111-124, May.
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