Climate change impacts: Understanding the synergetic interactions using graph computing

Halkos, George and Tsilika, Kyriaki (2016): Climate change impacts: Understanding the synergetic interactions using graph computing.

Abstract

In this study we provide a computerized graph structure for synthesizing and displaying the data on a region’s ecosystem-economic system. By applying Mathematica-based graph modelling we create a causal network of the synergistic impact mechanism among certain climate related factors. Our computational approach identifies a climate factor that affects most immediately or most strongly the others. Important factors are indicated through the use of graph theoretical tools. Our graph-based approach and its computational aspects allow for factor ranking(s) according to their importance to the network both numerically and visually, for certain settlement types. Our contribution provides quantitative estimates of impacts and adaptation potentials of five potential effects of climate change (migration, flooding- landslides- fire, air and water pollution, human health and energy-water-other resources) which play a substantial role at the synergistic impact mechanism. Results allow having a picture of the structure of synergistic impact mechanism in a glimpse. Specifically, visual output is created to detect i) the causal relationships of the synergetic mechanism under study ii) the most influential factor(s) in the synergistic mechanism and iii) classify the factor’s roles (based on the degree of their impact) within the coping mechanism.

• Item Type: MPRA Paper
• Language: English
• Keywords: Graph theory; vertex centrality; Mathematica; climate related factors; environmental economics computation.
• Subjects: C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C63 - Computational Techniques ; Simulation Modeling; C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology ; Computer Programs > C88 - Other Computer Software; P - Economic Systems > P2 - Socialist Systems and Transitional Economies > P28 - Natural Resources ; Energy ; Environment; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics > Q51 - Valuation of Environmental Effects; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics > Q54 - Climate ; Natural Disasters and Their Management ; Global Warming; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics > Q58 - Government Policy

References

Adger W.N., Pulhin J.M., Barnett J., Dabelko G.D., Hovelsrud G.K., Levy M., Oswald Spring Ú. and Vogel C.H. (2014). Human security. In: C.B. Field, V.R. Barros, D.J. Dokken, K.J. Mach, M.D. Mastrandrea, T.E. Bilir, M. Chatterjee, K.L. Ebi, Y.O. Estrada, R.C. Genova, B. Girma, E.S. Kissel, A.N. Levy, S. MacCracken, P.R. Mastrandrea and L.L. White (eds.). Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge and New York: Cambridge University Press. p. 755-791. Available from: https://www.ipcc.ch/ pdf/assessment-report/ar5/wg2/WGIIAR5-Chap12_FINAL.pdf

Aldasoro I. and Angeloni I. (2015). Input–output-based measures of systemic importance, Quantitative Finance, 15(4): 589-606.

Alkemade F., Amman H., and La Poutré J. A. (2002). The role of information in an electronic trade network. Computing in Economics and Finance, 376, Society for Computational Economics. Available from: http://ideas.repec.org/p/sce/scec f2/376.html.

Amman H.M. and Duraiappah A.K. (2004). Land tenure and conflict resolution: a game theoretic approach in the Narok district in Kenya. Environment and Development Economics, 9(3): 383–407.

Amman H.M. and Kendrick D.A. (1999). Should Macroeconomic Policy Makers Consider Parameter Covariances? Computational Economics, 14(3): 263-267.

Amman H.M. and Kendrick D.A. (2003). Mitigation of the Lucas critique with stochastic control methods. Journal of Economic Dynamics and Control, 27(11-12): 2035-2057.

Aroche-Reyes F. (1996). Important coefficients and structural change: A multi-layer approach. Economic Systems Research, 8(3): 235-246.

Borgatti S.P. (2005). Centrality and network flow. Social Networks, 27: 55–71.

Borgatti, S.P. and Everett M.G. (2005). A Graph-Theoretic Perspective on Centrality. Social Networks, 28: 466-484.

Borgatti, S.P. and Everett M.G. (2005). A Graph-Theoretic framework for classifying centrality measures. Social Networks 28: 466-484.

Blöchl F., Theis F.J., Vega-Redondo F. and Fisher E.O.N. (2011). Vertex centralities in input-output networks reveal the structure of modern economies. Physical Review E - Statistical, Nonlinear and Soft Matter Physics, 83(4): 046127.

Cerina F., Zhu Z., Chessa A. and Riccaboni M. (2015). World input-output network. PLoS ONE, 10(7): e0134025.

Dasgupta P., Morton J.F., Dodman D., Karapinar B., Meza F., Rivera-Ferre M.G., Toure Sarr A. and Vincent K.E. (2014). Rural areas. In: C.B. Field, V.R. Barros, D.J. Dokken, K.J. Mach, M.D. Mastrandrea, T.E. Bilir, M. Chatterjee, K.L. Ebi, Y.O. Estrada, R.C. Genova, B. Girma, E.S. Kissel, A.N. Levy, S. MacCracken, P.R. Mastrandrea and L.L. White (eds.). Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge and New York: Cambridge University Press. p. 613-657. Available from: https://www.ipcc.ch/ pdf/assessment-report/ar5/wg2/WGIIAR5-Chap9_FINAL.pdf

Evangelinos K. and Halkos G.E. (2002). Implementation of environmental management systems standards: important factors in corporate decision making. Journal of Environmental Assessment Policy and Management 4(03): 311-328.

Everett M.G. and Borgatti S.P. (2005). Extending centrality. In: P. Carrington, J. Scott, S. Wasserman (Eds.) Models and Methods in Social Network Analysis. Cambridge: Cambridge University Press.

Freeman L.C. (1979). Centrality in social networks: I. Conceptual clarification. Social Networks, 1: 215-239.

Friedkin N. (1991). Theoretical foundations for centrality measures. American Journal of Sociology, 96: 1478-1504.

Halkos G.E. and Evangelinos H.I. (2002). Determinants of environmental management systems standards implementation: evidence from Greek industry. Business Strategy and the Environment 11(6): 360-375.

Halkos G.E. & Matsiori S. (2012). Determinants of willingness to pay for coastal zone quality improvement. The Journal of Socio-Economics 41 (4): 391-399.

Halkos G.E. (2013). Exploring the economy–environment relationship in the case of sulphur emissions. Journal of Environmental Planning and Management 56 (2): 159-177.

Halkos G.E. (2014). The economics of climate change policy: Critical review and future policy directions. MPRA paper. Available from: https://ideas.repec.org/ p/pra/mprapa/56841.html

Halkos G.E. and Tsilika K.D. (2014). Analyzing and visualizing the synergistic impact mechanisms of climate change related costs. Applied Mathematics and Computation, 246: 586-596.

Halkos G. and Tsilika K. (2016a). Assessing classical input output structures with trade networks: a graph theory approach. MPRA paper. Available from: https://mpra.ub.uni-muenchen.de/725111/MPRA_paper_72511.pdf

Halkos G.E. and Tsilika K.D. (2016b). A new vision of classical multi-regional input-output models. Computational Economics, DOI 10.1007/s10614-016-9624-x.

Harary F., Norman R.Z. and Cartwright D. (1965). Structural Models: An Introduction to the Theory of Directed Graphs. New York: Wiley.

McCarthy J.J., Canziani O.F., Leary N.A., Dokken D.J., White K.S. (Eds.) (2001). Climate Change 2001: Impacts, Adaptation, and Vulnerability. Contribution of Working Group II to the Third Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press.

Parry M.L., Canziani O.F., Palutikof J.P., van der Linden P.J., Hanson C.E. (Eds.) (2007). Climate Change 2007: Impacts, Adaptation, and Vulnerability. Contribution of Working Group II to the Forth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press.

REC (Renewable Energy Centre) (2004). Strategies for reducing the vulnerability of energy systems to natural disasters in the Caribbean. Working Paper Series 2004-1. Barbados Renewable Energy Centre, Bridgetown, Barbados, 16 pp.

Revi A., Satterthwaite D.E., Aragón-Durand F., Corfee-Morlot J., Kiunsi R.B.R., Pelling M., Roberts D.C. and Solecki W. (2014). Urban areas. In: C.B. Field, V.R. Barros, D.J. Dokken, K.J. Mach, M.D. Mastrandrea, T.E. Bilir, M. Chatterjee, K.L. Ebi, Y.O. Estrada, R.C. Genova, B. Girma, E.S. Kissel, A.N. Levy, S. MacCracken, P.R. Mastrandrea and L.L. White (eds.). Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge and New York: Cambridge University Press. p. 535-612. Available from: https://www.ipcc.ch/pdf/assessment-report/ar5/wg2/WGIIAR5-Chap8_FINAL.pdf

Wolfram Language and System. Documentation Center. Available from: reference.wolfram.com/mathematica/tutorial/GraphDrawingIntroduction.html