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The Relationship between the Conception of Nature and Environmental Valuation

Author

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  • Yamane Nagao

    (Graduate School of Agricultural Science, Tohoku University, Sendai 9808572, Japan)

  • Ayano Nishikori

    (Former Student of Faculty of Agriculture, Tohoku University, Sendai 9808572, Japan)

  • Tomoko Imoto

    (Graduate School of Agricultural Science, Tohoku University, Sendai 9808572, Japan)

Abstract

As individuals’ relationships with nature become more diverse, so do their conceptions of nature. In this study, the image of nature and derived feelings are defined as the conception of nature. This study aimed to identify the conceptions of nature held by individuals and their influence on environmental valuation. The number of respondents who imagined natural forests when they heard the word “nature” was the highest (58%), followed by those who imagined Satoyama (31%). The factor analysis extracted five feelings toward the image of nature: care, oneness, aversion, mystery, and restorativeness. These feelings differed depending on the image of nature conjured up by individuals. Respondents who imagined natural forests and Satoyama had a higher sense of care, causing higher willingness-to-pay for forest conservation. These results revealed that the image of nature differed from person to person, contrary to previous studies where nature was regarded as predominantly represented by vegetation. Feelings for the image of nature also differed. It can be concluded that an individuals’ conception of nature influences their environmental valuation.

Suggested Citation

  • Yamane Nagao & Ayano Nishikori & Tomoko Imoto, 2021. "The Relationship between the Conception of Nature and Environmental Valuation," Sustainability, MDPI, vol. 13(22), pages 1-16, November.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:22:p:12683-:d:680546
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    References listed on IDEAS

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    1. Sandra Notaro & Gianluca Grilli & Alessandro Paletto, 2019. "The role of emotions on tourists’ willingness to pay for the Alpine landscape: a latent class approach," Landscape Research, Taylor & Francis Journals, vol. 44(6), pages 743-756, August.
    2. Czajkowski, Mikołaj & Barczak, Anna & Budziński, Wiktor & Giergiczny, Marek & Hanley, Nick, 2016. "Preference and WTP stability for public forest management," Forest Policy and Economics, Elsevier, vol. 71(C), pages 11-22.
    3. Negev, Maya & Sagie, Hila & Orenstein, Daniel E. & Zemah Shamir, Shiri & Hassan, Yousef & Amasha, Hani & Raviv, Orna & Fares, Nasrin & Lotan, Alon & Peled, Yoav & Wittenberg, Lea & Izhaki, Ido, 2019. "Using the ecosystem services framework for defining diverse human-nature relationships in a multi-ethnic biosphere reserve," Ecosystem Services, Elsevier, vol. 39(C).
    4. Rosenberger, Randall S. & Needham, Mark D. & Morzillo, Anita T. & Moehrke, Caitlin, 2012. "Attitudes, willingness to pay, and stated values for recreation use fees at an urban proximate forest," Journal of Forest Economics, Elsevier, vol. 18(4), pages 271-281.
    5. Hanemann, W Michael, 1984. "Discrete-Continuous Models of Consumer Demand," Econometrica, Econometric Society, vol. 52(3), pages 541-561, May.
    6. Filyushkina, Anna & Agimass, Fitalew & Lundhede, Thomas & Strange, Niels & Jacobsen, Jette Bredahl, 2017. "Preferences for variation in forest characteristics: Does diversity between stands matter?," Ecological Economics, Elsevier, vol. 140(C), pages 22-29.
    7. Yao, Richard T. & Scarpa, Riccardo & Turner, James A. & Barnard, Tim D. & Rose, John M. & Palma, João H.N. & Harrison, Duncan R., 2014. "Valuing biodiversity enhancement in New Zealand's planted forests: Socioeconomic and spatial determinants of willingness-to-pay," Ecological Economics, Elsevier, vol. 98(C), pages 90-101.
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