Mapping countries cooperation networks in photovoltaic technology development based on patent analysis

Research activities on solar energy has been growing and use of patents becomes an important innovation source for many types of studies. This paper aims to analyze solar photovoltaic (PV) patents and describes its assignees cooperation profile. PV patents based on IPC Green Inventory code were selected from 1990 to 2014, filtered out co-ownership patents and use social network analysis (SNA) to find PV technology development networks. Main findings are an increase of patents assignees over the years and a general concern for develop technologies “Devices adapted for the conversion radiation energy into electrical energy”, “Assemblies of a plurality of solar cells” and “Silicon; single-crystal growth”. SNA enabled to identify four countries clusters that presented cooperation behavior and shared similar concerns in PV technology development. The USA, China, Spain and Korea were main countries of each cluster. Furthermore, through network statistics, it implied that a country that had more patents was not the most important on that technology development. The USA, Germany and UK were the most relevant countries in PV technologies because they were the ones with more cooperation with other countries and with the most collaborative countries overall. Thus, these countries are the largest holders and influencers in PV technologies development. Based on the structure and interaction between country clusters, it is possible to understand who cooperates or competes with whom. So, this information allows establishing strategies of partnerships, or even of competition, between countries, firms and research centers.

[1]  Jing Zhang,et al.  Technological collaboration patterns in solar cell industry based on patent inventors and assignees analysis , 2012, Scientometrics.

[2]  T. Woodruff,et al.  Differences in Birth Weight Associated with the 2008 Beijing Olympics Air Pollution Reduction: Results from a Natural Experiment , 2015, Environmental health perspectives.

[3]  Jean-Loup Guillaume,et al.  Fast unfolding of communities in large networks , 2008, 0803.0476.

[4]  Dorothy Schrader,et al.  World Intellectual Property Organization: Copyright Treaty , 1997, International Legal Materials.

[5]  Ronald Rousseau,et al.  Mapping collaborative knowledge production in China using patent co-inventorships , 2011, Scientometrics.

[6]  Wolfgang Glänzel,et al.  In-depth analysis on China’s international cooperation in science , 2010, Scientometrics.

[7]  Mathieu Bastian,et al.  Gephi: An Open Source Software for Exploring and Manipulating Networks , 2009, ICWSM.

[8]  Rajeev Motwani,et al.  The PageRank Citation Ranking : Bringing Order to the Web , 1999, WWW 1999.

[9]  Christian Sternitzke,et al.  Patent and literature statistics – The case of optoelectronics☆ , 2007 .

[10]  Wolfgang Glänzel,et al.  National characteristics in international scientific co-authorship relations , 2004, Scientometrics.

[11]  Christian Sternitzke,et al.  Visualizing patent statistics by means of social network analysis tools , 2008 .

[12]  H. Sauermann,et al.  Crowd Science: The Organization of Scientific Research in Open Collaborative Projects , 2013 .

[13]  J. Marshall Open Innovation: The New Imperative for Creating and Profiting from Technology , 2004 .

[14]  G. Duysters,et al.  Networking as a Means to Strategy Change: The Case of Open Innovation in Mobile Telephony , 2007 .

[15]  Atul Nerkar,et al.  Evolution of R&D Capabilities: The Role of Knowledge Networks Within a Firm , 2005, Manag. Sci..

[16]  C. C. Rocha Relaciones estratégicas entre pymes: contraste de hipótesis empresariales mediante ARS , 2003 .

[17]  Hongyuan Wang,et al.  International Collaboration Activity Index: Case study of dye-sensitized solar cells , 2014, J. Informetrics.

[18]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994, Structural analysis in the social sciences.

[19]  Abdul-Hadi G. Abulrub,et al.  Open innovation management: challenges and prospects , 2012 .

[20]  A. Petruzzelli,et al.  Understanding the development trends of low-carbon energy technologies: A patent analysis , 2014 .

[21]  Loet Leydesdorff,et al.  Co-occurrence matrices and their applications in information science: Extending ACA to the Web environment , 2006, J. Assoc. Inf. Sci. Technol..

[22]  Chiara Verbano,et al.  Open innovation and new issues in R&D organization and personnel management , 2012 .

[23]  Alejandro García Macías Redes sociales y "clusters" empresariales. , 2002 .

[24]  Jukka-Pekka Salmenkaita,et al.  Intangible Capital in Industrial Research: Effects of Network Position on Individual Inventive Productivity , 2004 .

[25]  Mark Newman,et al.  Networks: An Introduction , 2010 .

[26]  Wei Gao,et al.  A bibliometric analysis of solar power research from 1991 to 2010 , 2012, Scientometrics.

[27]  Yi Xu,et al.  Innovation Contests, Open Innovation, and Multiagent Problem Solving , 2008, Manag. Sci..

[28]  Nan Lin,et al.  The Position Generator: Measurement Techniques for Investigations of Social Capital , 2017 .

[29]  Rob Cross,et al.  A Relational View of Information Seeking and Learning in Social Networks , 2003, Manag. Sci..

[30]  Ying Guo,et al.  The Research Profiling Method Applied to Nano-Enhanced, Thin-Film Solar Cells , 2010 .

[31]  J. West,et al.  Open innovation : researching a new paradigm , 2008 .

[32]  Xuefeng WangRongrong Collaboration network and pattern analysis: case study of dye-sensitized solar cells , 2014 .

[33]  H. Chesbrough Open Innovation: Where We've Been and Where We're Going , 2012 .

[34]  Christian Helmers,et al.  The Role of Patent Protection in (Clean/Green) Technology Transfer , 2010 .

[35]  G. Porto,et al.  Capítulo 4 – Abordagens da inovação , 2013 .