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Evaluation And Policy Analysis Of Japanese Forestry

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  • Managi, Shunsuke

Abstract

This study evaluates efficiency of forest management in Japan. Our results show that efficiency of forest management decreases over 25 years period from 1975-2000 on average. The study indicates a substantial variation in efficiency across prefectures with a potential for output saving in the range of forty percent on average. Our econometric results seem to support the hypothesis that government subsidies had an adverse effect on economic performance of forestry sector. More subsidized prefectures were found to exhibit statistically significantly lower levels of efficiency.

Suggested Citation

  • Managi, Shunsuke, 2005. "Evaluation And Policy Analysis Of Japanese Forestry," 2005 Annual meeting, July 24-27, Providence, RI 19358, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea05:19358
    DOI: 10.22004/ag.econ.19358
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    Cited by:

    1. Richard Harris & John Moffat, 2020. "The impact of product subsidies on plant‐level total factor productivity in Britain, 1997–2014," Scottish Journal of Political Economy, Scottish Economic Society, vol. 67(4), pages 387-403, September.
    2. Koski, Heli & Pajarinen, Mika, 2013. "Subsidies, Shadow of Death and Productivity," ETLA Working Papers 16, The Research Institute of the Finnish Economy.
    3. Mauerhofer, Volker, 2018. "Identifying Legal Priorities for Policy Making: A Forest-society-economy Context Analysed by 3-D Sustainability," Ecological Economics, Elsevier, vol. 152(C), pages 183-190.
    4. Arnaud Abad & Paola Ravelojaona, 2020. "A Generalization of Environmental Productivity Analysis," Working Papers hal-02964799, HAL.
    5. Heli Koski & Mika Pajarinen, 2015. "Subsidies, the Shadow of Death and Labor Productivity," Journal of Industry, Competition and Trade, Springer, vol. 15(2), pages 189-204, June.
    6. Mattsson, Pontus, 2019. "The impact of labour subsidies on total factor productivity and profit per employee," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 325-341.
    7. Managi, Shunsuke & Hibiki, Akira & Shimane, Tetsuya, 2014. "Efficiency or technology adoption: A case study in waste-treatment technology," Resource and Energy Economics, Elsevier, vol. 36(2), pages 586-600.
    8. Młynarski, Wojciech & Prędki, Artur & Kaliszewski, Adam, 2021. "Efficiency and factors influencing it in forest districts in southern Poland: Application of Data Envelopment Analysis," Forest Policy and Economics, Elsevier, vol. 130(C).
    9. Guohua Feng & Todd Jewell, 2021. "Productivity and efficiency at english football clubs: a random coefficient approach," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(5), pages 571-604, November.
    10. Arnaud Abad & Paola Ravelojaona, 2022. "A generalization of environmental productivity analysis," Post-Print hal-03592375, HAL.
    11. Richard Harris & Shengyu Li, 2019. "Government assistance and total factor productivity: firm-level evidence from China," Journal of Productivity Analysis, Springer, vol. 52(1), pages 1-27, December.
    12. Richard Harris & Shengyu Li, 2016. "Government Assistance and Total Factor Productivity: Firm-level Evidence from China, 1998-2007," CEGAP Working Papers 2016_04, Durham University Business School.
    13. Ang, Frederic & Kerstens, Pieter Jan, 2017. "Decomposing the Luenberger–Hicks–Moorsteen Total Factor Productivity indicator: An application to U.S. agriculture," European Journal of Operational Research, Elsevier, vol. 260(1), pages 359-375.

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    Resource /Energy Economics and Policy;

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