Finding environmentally important industry clusters: Multiway cut approach using nonnegative matrix factorization

Social Networks

Volumn 35, Issue 3, 2013, Pages 423-438

  Kagawa, Shigemi ^a   Okamoto, Shunsuke ^a   Suh, Sangwon ^b   Kondo, Yasushi ^c,d   Nansai, Keisuke ^e,f  

^a KYUSHU UNIVERSITY   (Japan)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c WASEDA UNIVERSITY   (Japan)

^d NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

^e NATIONAL INSTITUTE FOR ENVIRONMENTAL STUDIES   (Japan)

^f UNIVERSITY OF SYDNEY   (Australia)

Author keywords

CO2; Industry cluster; Multiway cut approach; Nonnegative matrix factorization; Supply chain

Indexed keywords

EID: 84880620292     PISSN: 03788733     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.socnet.2013.04.009     Document Type: Article

References (59)

1. Aroche-Reyes F. A qualitative input-output method to find basic economic structures. Papers in Regional Science 2003, 82:581-590.
2. Batagelj V., Ferligoj A., Doreian P. Direct and indirect methods for structural equivalence. Social Networks 1992, 14:63-90.
3. Bharadwaj K.R. A note on structural interdependence and the concept of a key sector. Kyklos 1966, 19:315-319.
4. Borgatti S.P., Everett M.G. Regular blockmodels of multiway, multimode matrices. Social Networks 1992, 14:91-120.
5. Breiger R.L., Boorman S., Arabie P. An algorithm for clustering relational data with applications to social network analysis. Journal of Mathematical Psychology 1975, 12:329-383.
6. Burt R.S. Positions in networks. Social Forces 1976, 55:93-122.
7. Czamanski S., Ablas L.A. Identification of industrial clusters and complexes: a comparison of methods and findings. Urban Studies 1979, 16:61-80.
8. Dietzenbacher E. More on multipliers. Journal of Regional Science 2005, 45:421-426.
9. Ding C., He X., Simon H.D. On the equivalence of nonnegative matrix factorization and spectral clustering. Proc. of SIAM Int'l Conf. Data Mining (SDM'05) 2005, 606-610.
10. Ding C., Li T., Jordan M.I. Nonnegative matrix factorization for combinatorial optimization: spectral clustering, graph matching, and clique finding. Proc, of IEEE International Conference on Data Mining (ICDM 2008) 2008, 183-192.
11. Doreian P., Batagelj V., Ferligoj A. Generalized blockmodeling of two-mode network data. Social Networks 2004, 26:29-53.
12. EPA Sustainable Materials Management: The Road Ahead 2009, US Environmental Protection Agency (EPA), Washington, DC, USA.
13. Feser E.J., Bergman E.M. National industry cluster templates: a framework for applied regional cluster analysis. Regional Studies 2000, 34:1-19.
14. Feser E., Sweeney S., Renski H. A descriptive analysis of discrete U.S. industrial complexes. Journal of Regional Science 2005, 45:395-419.
15. Fiedler M. Algebraic connectivity of graphs. Czechoslovak Mathematical Journal 1973, 23:298-305.
16. Frank K.A. Identifying cohesive subgroups. Social Networks 1995, 17:27-56.
17. Hansen J., Ruedy R., Sato M., Imhoff M., Lawrence W., Easterling D., Peterson T., Karl T. A closer look at the United States and global surface temperature change. Journal of Geophysical Research 2001, 106:23947-23963.
18. Hazari B. Empirical identification of key-sectors in the Indian economy. Review of Economics and Statistics 1970, 52:301-305.
19. Hendrickson B., Leland R. An improved spectral graph partitioning algorithm for mapping parallel computations. SIAM Journal on Scientific Computing 1995, 16:452-469.
20. Hirschman A.O. The Strategy of Economic Development 1958, Yale University Press, New Haven, CT, USA.
21. Hsieh M., Magee C.L. An algorithm and metric for network decomposition from similarity matrices: application to positional analysis. Social Networks 2008, 30:146-158.
22. Huppes G., de Koning A., Suh S., Heijungs R., van Oers L., Nielsen P., Guinée J.B. Environmental impacts of consumption in the European union using detailed input-output analysis. Journal of Industrial Ecology 2006, 10:129-146.
23. Kagawa S., Oshita Y., Nansai K., Suh S. How has dematerialization contributed to reducing oil price pressure? A qualitative input-output analysis for the Japanese economy during 1990-2000. Environmental Science & Technology 2009, 43:245-252.
24. Kelton C.L., Pasquale M.K., Rebelein R.P. Using the North American industry classification system (NAICS) to identify national industry cluster templates for applied regional analysis. Regional Studies 2008, 42:305-321.
25. Lenzen M. Environmentally important paths, linkages and key sectors in the Australian economy. Structural Change and Economic Dynamics 2003, 14:1-34.
26. Lee D.D., Seung H.S. Learning the parts of objects by non-negative matrix factorization. Nature 1999, 401:788-791.
27. Lee D.D., Seung H.S. Algorithms for non-negative matrix factorization. Advances in Neural Information Processing Systems 2001, vol. 13. The MIT Press, Cambridge, MA, USA.
28. Lorrain F., White H.C. Structural equivalence of individuals in social networks. Journal of Mathematical Sociology 1971, 1:49-80.
29. Miller R.E., Blair R.E. Input-Output Analysis: Foundations and Extensions 2009, Cambridge University Press, Cambridge.
30. Nakamura S., Kondo Y., Matsubae K., Nakajima K., Nagasaka T. UPIOM: a new tool of MFA and its application to the flow of iron and steel associated with car production. Environmental Science & Technology 2011, 45:1114-1120.
31. Nansai K., Kagawa S., Suh S., Inaba R., Moriguchi Y. Simple indicator to identify the environmental soundness of growth of consumption and technology: eco-velocity of consumption. Environmental Science & Technology 2007, 41:1465-1472.
32. Nansai K., Kagawa S., Suh S., Fujii M., Inaba R., Hashimoto S. Material and energy dependence of services and its implications for climate change. Environmental Science & Technology 2009, 43:4241-4246.
33. Newman M.E.J., Girvan M. Finding and evaluating community structure in networks. Physical Review E 2004, 69:026113.
34. Newman M.E.J. Fast algorithm for detecting community structure in networks. Physical Review E 2004, 69:066133.
35. Nooy W.D., Mrvar A., Batagelj V. Exploratory Social Network Analysis With Pajek 2011, Cambridge University Press, New York, USA.
36. Oosterhaven J., Eding G.J., Stelder D. Clusters, linkages and regional spillovers: methodology and policy implications for the two Dutch main ports and the rural north. Regional Studies 2001, 35:809-822.
37. Oosterhaven J., Stelder D. Net multipliers avoid exaggerating impacts: with a bi-regional illustration for the Dutch transportation sector. Journal of Regional Science 2002, 42:533-543.
38. Osakada K. The strategy of forging. Sokeizai 2009, 50:68-72. (in Japanese).
39. Ozaki I. Introduction to input-output analysis - unit structure and efficiency of energy input. Innovation & I-O Technique: Business Journal of PAPAIOS 1990, 1:63-76. (in Japanese).
40. Rasmussen P.N. Studies in Intersectoral Relations 1956, North-Holland, Amsterdam, Netherlands.
41. Roepke H., Adams D., Wiseman R. A new approach to the identification of industrial complexes using input-output data. Journal of Regional Science 1974, 14:15-29.
42. Schliephake K., Stevens G., Clay S. Making resources work more efficiently - the importance of supply chain partnerships. Journal of Cleaner Production 2009, 17:1257-1263.
43. Shi J., Malik J. Normalized cuts and image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence 2000, 22:888-905.
44. Simpson D., Samson D. Developing strategies for green supply chain management. Decision Line 2008, (July):12-15.
45. Sonis M., Hewings G.J.D., Guo J. A new image of classical key sector analysis: minimum information decomposition of the Leontief inverse. Economic Systems Research 2000, 12:401-423.
46. Spielman D.A., Teng S. Spectral partitioning works: planar graphs and finite element meshes. Linear Algebra and its Application 2007, 421:284-305.
47. Streit M.E. Spatial association and economic linkages between industries. Journal of Regional Science 1969, 9:177-188.
48. Suh S. Theory of materials and energy flow analysis in ecology and economics. Ecological Modeling 2005, 189:251-269.
49. Handbook of Input-Output Economics in Industrial Ecology 2009, Springer, New York, USA. S. Suh (Ed.).
50. Tanaka Y., Fujita S. Forecast of the manufacturing technology of high strength steel sheets for lightweight automobile bodies. JFE Technical Report 2007, 16:1-5. (in Japanese).
51. Tukker A., Eder P., Suh S. Environmental impacts of products: Policy implications and outlook. Journal of Industrial Ecology 2006, 10:183-198.
52. UNEP Assessing the Environmental Impacts of Consumption and Production: Priority Products and Materials, A Report of the Working Group on the Environmental Impacts of Products and Materials to the International Panel for Sustainable Resource Management 2010, United Nations Environmental Programme, Paris, France. E. Hertwich, E. van der Voet, S. Suh, A. Tukker, M. Huijbregts, P. Kazmierczyk, M. Lenzen, J. McNeely, Y. Moriguchi (Eds.).
53. von Luxburg U. A tutorial on spectral clustering. Statistics and Computing 2007, 17(4):395-416.
54. von Luxburg U., Belkin M., Bousquet O. Consistency of spectral clustering. The Annals of Statistics 2008, 36:555-586.
55. Weidema B., Noutten P., Suh S. Prioritizing within the product-oriented environmental policy - the Danish perspectives. Journal of Industrial Ecology 2006, 10:73-87.
56. White H.C., Breiger R.L. Pattern across networks. Society 1975, 12:68-73.
57. Wu Z., Leahy R. An optimal graph theoretic approach to data clustering: theory and its application to image segmentation. Transactions on Pattern Analysis and Machine Intelligence 1993, 15:1101-1113.
58. Zhang Z., Jordan M.I. Multiway spectral clustering: a margin-based perspective. Statistical Science 2008, 23:383-403.
59. Žiberna A. Generalized blockmodeling of valued networks. Social Networks 2007, 105-126.