Comparative Analysis of Environmental Policy Network in Japan, USA, Germany and Korea

全球环境政策网络在过去三年中对韩国和日本进行的调查的主要结果如下（我们还有另外两个正在进行的项目，涉及美国和德国，采用相同的研究框架）；(i)在选出全球大气决策中最具影响力的行为者之前，我们请了大约10名外部裁判和所有相关行为者各自在小组内进行评价。根据两组评价之间的相关性大于0.7的计算，认为选择过程是适当的。（二）韩国和日本的演员构成模式十分相似。以下是这些行为体的构成，按份额排序：2.非政府组织、与政府有关的行动者；2 .商业协会、政府智库、大企业；大众传媒、商业高峰协会、咨询委员会。（三）相当相关行为者之间的同行评价显示，日本和韩国在感知到的影响力方面略有不同。在韩国，大众媒体和政治人物的影响力，以及国际组织和非政府组织的影响力都比日本强。（iv）为了澄清信息网络的作用，我们研究了评估点如何与网络相关变量（如“度（被他人引用的数量）”）相关联，以及变量如何在这样一个网络中显示出特定的涌现属性，特别是“中心性”。这种高度的相关性表明，到目前为止，该领域的信息网络假设是稳健的。关于信息交流和支助网络的宏观结构，不久将报告根据分析得出的具体结果。

The main findings of the Global Environmental Policy Network surveys conducted between Korea and Japan over the past 3 years are shown as follows (we have 2 other ongoing projects concerning the US and Germany which apply the same research framework) ;(i) Prior to the selection of most influential actors in the global atmospheric policy-making, we requested both around 10 outside referees and all the related actors themselves to evaluate within the group on the other. The selection process was seen to be appropriate based on the calculation that the correlation between the 2-group evaluations was more than 0.7.(ii) The patterns of the constitution of actors in Korea and Japan were quite similar. The following list is the constitution of those actors in order by share : 1. NGOs, Government-related actors, 2. Business associations, governmental think tanks, and big enterprises, 3. Mass media, Business peak associations, Advisory councils.(iii) The peer-evaluation among fairly relevant actors shows a slight difference in the perceived influence between Japan and Korea. In Korea, the influence of mass media and politicians as well as international organizations and NGOs are relatively stronger than in Japan.(iv) To clarify the role of the information network, we examined how the points of the evaluation correlate to the network-related variables such as the "indegree (the number of being referred to by others)" and how the variables show particular emergent property in such a network, notably "cantrality". The high degree of correlation indicates that the assumption of the information network in this area so far is robust.(v) As for macro-level structure of information exchange and support networks, the tangible result based on the analysis will be reported shortly.