Table 12.
Categories for type of organization.
Category
Description
State
U.S.
U.S. government agencies and legislators
China
China government agencies, ministries, and legislators
Other
Government agencies, ministries, and legislators in other
countries
Solar panel
manufacturer
U.S.
The U.S.-based solar panel manufacturers or the coalitions of
them
China
China-based solar panel manufacturers or the coalitions of them
Other
Solar panel manufacturers based in the countries other than the
U.S. and China or the coalitions of them
Solar
corporation
other than
panel
manufacturer
U.S.
The U.S.-based solar corporations other than solar panel
manufacturers or the coalitions of them
China
China-based solar corporations other than solar panel
manufacturers or the coalitions of them
Other
Solar corporations other than solar panel manufacturers based in
the countries other than the U.S. and China or the coalitions of
them
Industry
Association
U.S.
Industry associations or coalitions including more than two
different types of organizations located in the U.S.
China
Industry associations or coalitions including more than two
types of organizations located in China
Expert
U.S.
Solar experts including consultants, scholars, researchers and
investors in the U.S.
China
Solar experts including consultants, scholars, researchers and
investors in China
Each statement was coded for four categories related to Chinese solar panel
issues. The categories were developed by an open coding of sample articles. Three
categories are about the frames of Chinese solar panels: “Chinese solar panels benefit the
U.S economy,” “Chinese solar panels benefit the affordability of solar energy,” and “the
trade practices of Chinese solar panels are fair.” Each category was coded whether the
organization agree or disagree with each statement. The other category was about the
position on policy: “The tariff on Chinese solar panels is necessary.”
96
For coding, the software Discourse Network Analyzer was used.
118
This software
has been used for coding of texts and building social networks.
119
An affiliation matrix
with actors and policy preferences was established, and this matrix was transformed into
an actor-by-actor matrix, which includes the number of shared policy stances between
actors. Political coalition was derived from this matrix as a network based on the
assumption that similarity of policy preferences encourages actors to make a coalition.
The coalitions were visualized by using NetDraw, a program for visualizing social
network data.
Findings
Prominent actors in the solar panel trade issue field
Various organizations and individuals have revealed their opinions on the U.S.-
China solar panel trade issue. Although the solar panel manufacturers in other countries,
who released 50 statements, were the most prominent actors, they were not very
dominant (Table 13). Many actors in China also actively released their statements. One
third of the statements are from the actors based in China.
118
Leifeld, Philip, “Discourse Network Analyzer manual,”
http://www.philipleifeld.de/discourse-network-analyzer-dna/manual/manual.html
.
(September 23, 2012)
119
Fisher, Dana R., Philip Leifeld, and Yoko Iwaki. "Mapping the ideological networks
of American climate politics."
Climatic Change
116, no. 3-4 (2013): 523-545.; Leifeld,
Philip, and Sebastian Haunss. "Political discourse networks and the conflict over software
patents in Europe."
European Journal of Political Research
51, no. 3 (2012): 382-409.;
Stoddart, Mark CJ, and David B. Tindall. "Canadian news media and the cultural
dynamics of multilevel climate governance."
Environmental Politics
24, no. 3 (2015):
401-422.
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