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Tie to community as a proxy of competency to fill the gap between intended and actual pro-environmental behavior in urban settings

Author

Listed:
  • Yoshinori Nakagawa

    (School of Economics and Management, Kochi University of Technology)

  • Koichiro Mori

    (Shiga University.)

  • Takeshi Nishimura

    (Sanyo Gakuen University)

  • Kengo Hayashi

    (University of Tokyo)

Abstract

It is essential to encourage worldwide pro-environmental behaviors among an increasingly urban population. Understanding the gap between intended and actual pro-environmental behavior is crucial for developing effective intervention measures. The present study aimed to identify a variable that could serve as a proxy for urban individuals’ overall competence to fill this gap. Data was collected from 366 residents living in highly urbanized Japanese municipalities with a population density of 7088/km2 or higher. It found that community ties, as measured by Theodori’s (2004) community attachment scale, moderated the intention-behavior gap. This was also true when only resource-saving behavior, conventionally regarded as being in the private sphere, was considered when scoring individuals’ pro-environmental behavior, which suggests that this behavior is much more social than previously realized. The practical implications of these findings are also discussed.

Suggested Citation

  • Yoshinori Nakagawa & Koichiro Mori & Takeshi Nishimura & Kengo Hayashi, 2019. "Tie to community as a proxy of competency to fill the gap between intended and actual pro-environmental behavior in urban settings," Working Papers SDES-2019-1, Kochi University of Technology, School of Economics and Management, revised Feb 2019.
  • Handle: RePEc:kch:wpaper:sdes-2019-1
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    File URL: http://www.souken.kochi-tech.ac.jp/seido/wp/SDES-2019-1.pdf
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    pro-environmental behavior; intention-behavior gap; place attachment; community attachment; urban living;
    All these keywords.

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