IDEAS home Printed from https://ideas.repec.org/a/bla/inecol/v12y2008i5-6p657-668.html
   My bibliography  Save this article

What Factors Have Changed Japanese Resource Productivity?

Author

Listed:
  • Seiji Hashimoto
  • Shigekazu Matsui
  • Yu Matsuno
  • Keisuke Nansai
  • Shinsuke Murakami
  • Yuichi Moriguchi

Abstract

type="main" xml:lang="en"> In 2003, the Fundamental Plan for Establishing a Sound Material-Cycle Society was developed; it established indicators and numerical targets for each of three aspects of material flows in Japan. One of the three indicators is resource productivity: Gross domestic product divided by direct material input (GDP/DMI). This article elucidates factors that have changed recent resource-use intensity (the inverse of resource productivity) in Japan. Specifically, the analysis emphasizes decomposing resource-use intensity into the factors of recycling, induced material-use intensity, demand structure, and average propensity to import. Conclusions drawn from analyses of data from the 1995–2002 period are as follows: (1) Changes in the structure of demand (i.e., the magnitude of the demand for a particular set of goods and services relative to total demand) produced the largest contribution to a reduction in resource-use intensity. In addition, the aggregate of the decline in induced material-use intensity and the improvement in recycling contributed as much as changes in the demand structure. (2) Final demand for construction declined steadily during the study period, resulting in the largest contribution to the decline in resource-use intensity. (3) Final demand for machinery and services increased, whereas their induced material-use intensity declined, contributing to the decline in resource-use intensity as a whole. (4) Although the effects of recycling are not great, the increased recycling of nonmetallic minerals contributed to the decline in resource-use intensity.

Suggested Citation

  • Seiji Hashimoto & Shigekazu Matsui & Yu Matsuno & Keisuke Nansai & Shinsuke Murakami & Yuichi Moriguchi, 2008. "What Factors Have Changed Japanese Resource Productivity?," Journal of Industrial Ecology, Yale University, vol. 12(5-6), pages 657-668, October.
    • Handle: RePEc:bla:inecol:v:12:y:2008:i:5-6:p:657-668
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1530-9290.2008.00072.x
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Timothy J. Considine, 1991. "Economic and Technological Determinants of the Material Intensity of Use," Land Economics, University of Wisconsin Press, vol. 67(1), pages 99-115.
    2. Roberts, Mark C., 1990. "Predicting metal consumption : The case of US steel," Resources Policy, Elsevier, vol. 16(1), pages 56-73, March.
    3. Sun, J. W., 1998. "Changes in energy consumption and energy intensity: A complete decomposition model," Energy Economics, Elsevier, vol. 20(1), pages 85-100, February.
    4. Ang, B.W. & Zhang, F.Q., 2000. "A survey of index decomposition analysis in energy and environmental studies," Energy, Elsevier, vol. 25(12), pages 1149-1176.
    5. Hoekstra, Rutger & van den Bergh, Jeroen C. J. M., 2003. "Comparing structural decomposition analysis and index," Energy Economics, Elsevier, vol. 25(1), pages 39-64, January.
    6. Hiroaki Takiguchi & Kazuhiko Takemoto, 2008. "Japanese 3R Policies Based on Material Flow Analysis," Journal of Industrial Ecology, Yale University, vol. 12(5-6), pages 792-798, October.
    7. Roberts, Mark C., 1988. "What caused the slack demand for metals after 1974?," Resources Policy, Elsevier, vol. 14(4), pages 231-246, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Keishiro Hara & Michinori Uwasu & Hideki Kobayashi & Shuji Kurimoto & Shinsuke Yamanaka & Yoshiyuki Shimoda & Yasushi Umeda, 2012. "Enhancing Meso Level Research in Sustainability Science—Challenges and Research Needs," Sustainability, MDPI, vol. 4(8), pages 1-15, August.
    2. Pothen, Frank, 2017. "A structural decomposition of global Raw Material Consumption," Ecological Economics, Elsevier, vol. 141(C), pages 154-165.
    3. Keishiro Hara & Helmut Yabar, 2012. "Historical evolution and development of waste management and recycling systems—analysis of Japan's experiences," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 2(4), pages 296-307, November.
    4. Xu, Yuan, 2013. "Using performance indicators to reduce cost uncertainty of China's CO2 mitigation goals," Energy Policy, Elsevier, vol. 53(C), pages 454-461.
    5. Hu, Yun & Wen, Zongguo & Lee, Jason C.K. & Luo, Enhua, 2017. "Assessing resource productivity for industrial parks using adjusted raw material consumption (ARMC)," Resources, Conservation & Recycling, Elsevier, vol. 124(C), pages 42-49.
    6. Auci, Sabrina & Vignani, Donatella, 2020. "Mines and quarries production: A driver analysis of withdrawals in Italy," Resources Policy, Elsevier, vol. 67(C).
    7. Pothen, Frank & Schymura, Michael, 2014. "Bigger cakes with less ingredients? A comparison of material use of the world economy," ZEW Discussion Papers 14-030, ZEW - Leibniz Centre for European Economic Research.
    8. Song, Yi & Huang, Jianbai & Zhang, Yijun & Wang, Zhiping, 2019. "Drivers of metal consumption in China: An input-output structural decomposition analysis," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    9. Wang, Zhiping & Feng, Chao & Chen, Jinyu & Huang, Jianbai, 2017. "The driving forces of material use in China: An index decomposition analysis," Resources Policy, Elsevier, vol. 52(C), pages 336-348.
    10. Pothen, Frank & Schymura, Michael, 2015. "Bigger cakes with fewer ingredients? A comparison of material use of the world economy," Ecological Economics, Elsevier, vol. 109(C), pages 109-121.
    11. Shigemi Kagawa & Seiji Hashimoto & Shunsuke Managi, 2015. "Special issue: studies on industrial ecology," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 17(3), pages 361-368, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhao, Xiaoli & Li, Na & Ma, Chunbo, 2012. "Residential energy consumption in urban China: A decomposition analysis," Energy Policy, Elsevier, vol. 41(C), pages 644-653.
    2. Tol, Richard S.J. & Pacala, Stephen W. & Socolow, Robert H., 2009. "Understanding Long-Term Energy Use and Carbon Dioxide Emissions in the USA," Journal of Policy Modeling, Elsevier, vol. 31(3), pages 425-445, May.
    3. Xing Zhou & Meihua Zhou & Ming Zhang, 2016. "Contrastive analyses of the influence factors of interprovincial carbon emission induced by industry energy in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(3), pages 1405-1433, April.
    4. Banie Naser Outchiri, 2020. "Contributing to better energy and environmental analyses: how accurate are decomposition analysis results?," Cahiers de recherche 20-11, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    5. Tao, Zhining & Hewings, Geoffrey & Donaghy, Kieran, 2010. "An economic analysis of Midwestern US criteria pollutant emissions trends from 1970 to 2000," Ecological Economics, Elsevier, vol. 69(8), pages 1666-1674, June.
    6. Tan, Hao & Sun, Aijun & Lau, Henry, 2013. "CO2 embodiment in China–Australia trade: The drivers and implications," Energy Policy, Elsevier, vol. 61(C), pages 1212-1220.
    7. Edyta Sidorczuk-Pietraszko, 2020. "Spatial Differences in Carbon Intensity in Polish Households," Energies, MDPI, vol. 13(12), pages 1-21, June.
    8. Wang, Miao & Feng, Chao, 2018. "Decomposing the change in energy consumption in China's nonferrous metal industry: An empirical analysis based on the LMDI method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2652-2663.
    9. Cellura, Maurizio & Longo, Sonia & Mistretta, Marina, 2012. "Application of the Structural Decomposition Analysis to assess the indirect energy consumption and air emission changes related to Italian households consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1135-1145.
    10. Cahill, Caiman J. & Ó Gallachóir, Brian P., 2010. "Monitoring energy efficiency trends in European industry: Which top-down method should be used?," Energy Policy, Elsevier, vol. 38(11), pages 6910-6918, November.
    11. Yuzhuo Huang & Yosuke Shigetomi & Andrew Chapman & Ken’ichi Matsumoto, 2019. "Uncovering Household Carbon Footprint Drivers in an Aging, Shrinking Society," Energies, MDPI, vol. 12(19), pages 1-18, September.
    12. Jennings, Mark & Ó Gallachóir, Brian P. & Schipper, Lee, 2013. "Irish passenger transport: Data refinements, international comparisons, and decomposition analysis," Energy Policy, Elsevier, vol. 56(C), pages 151-164.
    13. Wang, Yanqiu & Zhu, Zhiwei & Zhu, Zhaoge & Liu, Zhenbin, 2019. "Analysis of China's energy consumption changing using the Mean Rate of Change Index and the logarithmic mean divisia index," Energy, Elsevier, vol. 167(C), pages 275-282.
    14. Román-Collado, Rocío & Cansino, José M. & Botia, Camilo, 2018. "How far is Colombia from decoupling? Two-level decomposition analysis of energy consumption changes," Energy, Elsevier, vol. 148(C), pages 687-700.
    15. Ang, B.W. & Liu, F.L. & Chung, Hyun-Sik, 2004. "A generalized Fisher index approach to energy decomposition analysis," Energy Economics, Elsevier, vol. 26(5), pages 757-763, September.
    16. Cahill, Caiman J. & Ó Gallachóir, Brian P., 2012. "Combining physical and economic output data to analyse energy and CO2 emissions trends in industry," Energy Policy, Elsevier, vol. 49(C), pages 422-429.
    17. Das, Aparna & Paul, Saikat Kumar, 2013. "Changes in energy requirements of the residential sector in India between 1993–94 and 2006–07," Energy Policy, Elsevier, vol. 53(C), pages 27-40.
    18. Cansino, José M. & Román, Rocío & Ordóñez, Manuel, 2016. "Main drivers of changes in CO2 emissions in the Spanish economy: A structural decomposition analysis," Energy Policy, Elsevier, vol. 89(C), pages 150-159.
    19. Inglesi-Lotz, Roula & Blignaut, James N., 2011. "South Africa’s electricity consumption: A sectoral decomposition analysis," Applied Energy, Elsevier, vol. 88(12), pages 4779-4784.
    20. Su, Bin & Ang, B.W., 2012. "Structural decomposition analysis applied to energy and emissions: Some methodological developments," Energy Economics, Elsevier, vol. 34(1), pages 177-188.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:inecol:v:12:y:2008:i:5-6:p:657-668. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=1088-1980 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.