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The Relationship Between Information-Sharing and Resource-Sharing Networks in Environmental Policy Governance: Focusing on Germany and Japan

  • Lee, Junku (University of Tsukuba, Graduate School of Humanities and Social Sciences) ;
  • Tkach-Kawasaki, Leslie (University of Tsukuba, Faculty of School of Humanities and Social Sciences)
  • Published : 2018.12.31

Abstract

Environmental issues are among the most critical issues nowadays. These issues are no longer confined to individual countries, and international society has been progressing in building global dialogues since the early 1970s. Within these international efforts, Germany and Japan have played essential roles in global environmental governance. However, there are major differences in nation-level environmental policies in both countries. Governance based on network structure is more efficient than that based on hierarchy for solving complex problems. The network structure is formed through horizontal cooperation among various autonomous actors, and the relationship intensity among actors is one of the key concepts in the governance. Using social network analysis as a framework to explain complicated societal structures explains how interaction among actors creates networks, and these networks further affect their interactions. The purpose of this study is to investigate the structure of environmental policy governance as collaborative governance in Germany and Japan. To address this goal, this paper analyzes the relationship between the informational dimension of governance networks and its complement resource-sharing networks in both countries. The results show that the information-sharing networks have lower-level network influence on the resource-sharing networks as higher-level networks even if not all of the information factors have singular influences. The results suggest that the information-sharing networks may be one of the pieces of the puzzle for explaining this phenomenon in environmental governance in Germany and Japan.

Table 1. Factors and Questions (Translated into English)

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Table 2. Dependent variables and questions (Translated into English)

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Table 3. Network structural effect of the factor (3) based on the information sharing network

OSTRBU_2018_v17n2_176_t0003.png 이미지

Table 4. Results of LR-QAP for resource sharing network

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