Bulletin of Volcanology

, 79:87 | Cite as

Computable general equilibrium modelling of economic impacts from volcanic event scenarios at regional and national scale, Mt. Taranaki, New Zealand

  • G. W. McDonaldEmail author
  • S. J. Cronin
  • J.-H. Kim
  • N. J. Smith
  • C. A. Murray
  • J. N. Procter
Research Article


The economic impacts of volcanism extend well beyond the direct costs of loss of life and asset damage. This paper presents one of the first attempts to assess the economic consequences of disruption associated with volcanic impacts at a range of temporal and spatial scales using multi-regional and dynamic computable general equilibrium (CGE) modelling. Based on the last decade of volcanic research findings at Mt. Taranaki, three volcanic event scenarios (Tahurangi, Inglewood and Opua) differentiated by critical physical thresholds were generated. In turn, the corresponding disruption economic impacts were calculated for each scenario. Under the Tahurangi scenario (annual probability of 0.01–0.02), a small-scale explosive (Volcanic Explosivity Index (VEI) 2–3) and dome forming eruption, the economic impacts were negligible with complete economic recovery experienced within a year. The larger Inglewood sub-Plinian to Plinian eruption scenario event (VEI > 4, annualised probability of ~ 0.003) produced significant impacts on the Taranaki region economy of $207 million (representing ~ 4.0% of regional gross domestic product (GDP) 1 year after the event, 2007 New Zealand dollars), that will take around 5 years to recover. The Opua scenario, the largest magnitude volcanic hazard modelled, is a major flank collapse and debris avalanche event with an annual probability of 0.00018. The associated economic impacts of this scenario were $397 million (representing ~ 7.7% of regional GDP 1 year after the event) with the Taranaki region economy suffering permanent structural changes. Our dynamic analysis illustrates that different economic impacts play out at different stages in a volcanic crisis. We also discuss the key strengths and weaknesses of our modelling along with potential extensions.


Taranaki volcanism Scenario analysis Computable general equilibrium modelling Economic impacts Eruption impacts 



The authors would like to thank two anonymous referees for their valuable comments.

Funding information

We acknowledge funding support from the New Zealand Natural Hazards Research Platform and Resilience to Nature’s Challenges National Science Challenge.


  1. Aldridge C (2006) Economic loss modelling for volcanic eruption impacts in the Taranaki region, New Zealand, M.A. Thesis, School of Applied Economics and Institute of Natural Resources, Massey UniversityGoogle Scholar
  2. Alexander D (2000) Scenario methodology for teaching principles of emergency management. Disaster Prev Manag 9(2):89–97. CrossRefGoogle Scholar
  3. Alexander D (2005) Towards the development of a standard in emergency planning. Disaster Prev Manag 14(2):158–175. CrossRefGoogle Scholar
  4. Alloway B, Neall VE, Vucetich CG (1995) Late quaternary (post 28,000 year B.P.) tephrostratigraphy of northeast and central Taranaki, New Zealand. J R Soc N Z 25(4):385–458. CrossRefGoogle Scholar
  5. Alloway B, McComb P, Neall V, Vucetich C, Gibb J, Sherburn S, Stirling M (2005) Stratigraphy, age, and correlation of voluminous debris avalanche events from an ancestral Egmont volcano: implications for coastal plain construction and regional hazard assessment. J R Soc N Z 35(1-2):229–267. CrossRefGoogle Scholar
  6. Armington P (1969) A theory of demand for products distinguished by place of production. IMF Staff Pap 16(1):159–178. CrossRefGoogle Scholar
  7. Arrow KJ, Debreu G (1954) Existence of an equilibrium for a competitive economy. Econometrica 22(3):265–290. CrossRefGoogle Scholar
  8. Bebbington M, Cronin SJ, Chapman I, Turner MB (2008) Quantifying volcanic ashfall hazard to electricity infrastructure. Volcanol Geotherm Res 177(4):1055–1062. CrossRefGoogle Scholar
  9. Benson C (2003) The economy-wide impact of natural disasters in developing countries. PhD thesis, University of London, LondonGoogle Scholar
  10. Biass S, Todde A, Cioni R, Pistolesi M, Geshi N, Bonadonna C (2017) Potential impacts of tephra fallout from a large-scale explosive eruption at Sakurajima volcano, Japan. Bull Volcanol 79(10):73. CrossRefGoogle Scholar
  11. Bourdier J-L, Pratomo I, Thouret J-C, Boudon G, Vincent PM (1997) Observations, stratigraphy and the eruptive processes of the 1990 eruption of Kelut volcano, Indonesia. J Volcanol Geotherm Res 79(3-4):181–203. CrossRefGoogle Scholar
  12. Burfisher ME (2011) Introduction to computable general equilibrium models. Cambridge University Press, Cambridge. CrossRefGoogle Scholar
  13. Cavallo E, Galiani S, Noy I, Pantano J (2013) Catastrophic natural disasters and economic growth. Rev Econ Stat 95(5):1549–1561. CrossRefGoogle Scholar
  14. Chen Z, Rose A (2016) Economic resilience to transportation failure: a computable general equilibrium analysis. Available at SSRN: or
  15. Chester DK, Duncan AM, Dibben C, Guest JE, Lister PH (1999) Mascali, Mount Etna region Sicily: an example of Fascist planning during the 1928 eruption and its continuing legacy. Nat Hazards 19(1):29–46. CrossRefGoogle Scholar
  16. Coffman M, Noy I (2009) A hurricane’s long-term economic impact: the case of Hawaii’s Iniki. University of Hawaii Economics Working Paper 2009–05Google Scholar
  17. Crespo Cuaresma J (2010) Natural disasters and human capital accumulation. World Bank Econ Rev 24(2):280–302. CrossRefGoogle Scholar
  18. Cronin SJ, Hedley MJ, Neall VE, Smith G (1998) Agronomic impact of tephra fallout from 1995 and 1996 Ruapehu volcano eruptions, New Zealand. Environ Geol 34(1):21–30. CrossRefGoogle Scholar
  19. Cronin SJ, Neall VE, Lecointre JA, Hedley MJ, Loganathan P (2003) Environmental hazards of fluoride in volcanic ash: a case study from Ruapehu volcano, New Zealand. J Volcanol Geotherm Res 121(3-4):271–291. CrossRefGoogle Scholar
  20. Cronin SJ, Lube G, Dayudi DS, Sumarti S, Subrandiyo S, Surono (2013) Insights into the October–November 2010 Gunung Merapi eruption (Central Java, Indonesia) from the stratigraphy, volume and characteristics of its pyroclastic deposits. J Volcanol Geotherm Res 261:244–259. CrossRefGoogle Scholar
  21. Damaschke M, Cronin SJ, Holt KA, Bebbington MS, Hogg A (2017) A new 30,000-year high-precision eruption history for the andesitic Mt. Taranaki, North Island, New Zealand. Quat Res 87(1):1–23. CrossRefGoogle Scholar
  22. Desprats JF, Garcin M, Attanayake N, Pedreros R, Siriwardana C, Fontaine M, Fernando S, De Silva U (2010) A ‘coastal-hazard GIS’ for Sri Lanka. J Coast Conserv 14(1):21–31. CrossRefGoogle Scholar
  23. Druce AP (1966) Tree-ring dating of recent volcanic ash and lapilli, Mt. Egmont. N Z J Bot 4(1):3–41. CrossRefGoogle Scholar
  24. FEMA (2003) Multi-hazard loss estimation methodology earthquake model—HAZUS-MH MR3 Technical Manual. Washington D.C, Federal Emergency Management AgencyGoogle Scholar
  25. Gómez-Fernández F (2000) Contribution of geographical information systems to the management of volcanic crises. Nat Hazards 21:247–360CrossRefGoogle Scholar
  26. Gong M, Lempert R, Parker A, Mayer LA, Fischbach J, Sisco M, Mao Z, Krantz DH, Kunreuther H (2017) Testing the scenario hypothesis: an experimental comparison of scenarios and forecasts for decision support in a complex decision environment. Environ Model Softw 91:135–155. CrossRefGoogle Scholar
  27. Green RM, Bebbington MS, Jones G, Cronin SJ, Turner MB (2016) Estimation of tephra volumes from sparse and incompletely observed deposit thicknesses. Bull Volcanol 78(4):25. CrossRefGoogle Scholar
  28. Groves DG, Lampert RJ (2007) A new analytical method for finding policy-relevant scenarios. Glob Environ Chang 17(1):73–85. CrossRefGoogle Scholar
  29. Guha GS (2005) Simulation of the economic impact of region-wide electricity outages from a natural hazard using a CGE model. Southwest Econ Rev 32(1):101–124Google Scholar
  30. Harris AJL, Gurioli L, Hughes EE, Lagreulet S (2012) Impact of Eyjafjallajökull ash cloud: a newspaper perspective. J Geophys Res 117:B00C08. CrossRefGoogle Scholar
  31. Hochrainer S (2009) Assessing the macroeconomic impacts of natural disasters—are there any? World Bank Policy Research Working Paper 4968. The World Bank, Washington, DCGoogle Scholar
  32. Hosoe N, Gasawa K, Hashimoto H (2010) Textbook of computable general equilibrium modelling: programming and simulations. Palgrave MacMillan, London. CrossRefGoogle Scholar
  33. Jaiswal K, Wald DJ (2013) Estimating economic losses from earthquakes using an empirical approach. Earthquake Spectra 29(1):309–324. CrossRefGoogle Scholar
  34. Jiang Z, Yu S-Y, Yoon S-M (2014) Research methodology for the economic impact assessment of natural disasters and its applicability for the Baekdu Mountain volcanic disaster, econ. Environ Geol 47(2):133–146. CrossRefGoogle Scholar
  35. Johnston DM, Becker J, Jolly G, Potter S, Wilson T, Stewart C, Cronin SJ (2011) Volcanic hazards management at Taranaki volcano: information source book. GNS Science Consultancy Report 2011/37Google Scholar
  36. Kim J-H, Smith NJ, McDonald GW (2016) Auckland electricity outage scenario: modelling the economic consequences of interruptions in infrastructure service using MERIT. In: Economics of resilient infrastructure research report 2016/04. GNS Science, Lower HuttGoogle Scholar
  37. King A, Bell RG (2005) Riskscape New Zealand—a multihazard loss modelling tool. In: Proceedings of Earthquake Engineering in the 21st Century (EE-21C) Conference, Topic 8: Technologies and trends for disaster monitoring and reductionGoogle Scholar
  38. Kuenzi WD, Horst OH, McGehee RV (1979) Effect of volcanic activity on fluvial-deltaic sedimentation in a modern arc-trench gap, southwestern Guatemala. Geol Soc Am Bull 90(9):827–838.<827:EOVAOF>2.0.CO;2 CrossRefGoogle Scholar
  39. Lofgren H, Harris RL, Sherman R (2002) A standard computable general equilibrium model in GAMS. International Food Policy Research Institute, WashingtonGoogle Scholar
  40. Maier HR, Guillaume JHA, van Delden H, Riddell GA, Haasnoot M, Kwakkel JH (2016) An uncertain future, deep uncertainty, scenarios, robustness and adaptation: how do they fit together? Environ Model Softw 81:154–164. CrossRefGoogle Scholar
  41. Marzocchi W, Woo G (2007) Probabilistic eruption forecasting and the call for an evacuation. Geophys Res Lett 34(22):L22310. CrossRefGoogle Scholar
  42. Mastrolorenzo G, Petrone P, Pappalardo L, Sheridan MF (2006) The Avellino 3780-yr-B.P. catastrophe as a worst-case scenario for a future eruption at Vesuvius. PNAS 103(12):4366–4370. CrossRefGoogle Scholar
  43. McDonald G, Smith N, Murray C (2014) Economic impact of seismic events: modelling. In: Beer M, Patelli E, Kougiomtzoglou I, Au I (eds) Encyclopaedia of Earthquake Engineering. Springer Publishing, New York City. Google Scholar
  44. McDonald GW, Smith NJ, Kim J-H, Cronin SJ, Proctor JN (2017) The spatial and temporal ‘cost’ of volcanic eruptions: assessing economic impact, business inoperability, and spatial distribution of risk in the Auckland region, New Zealand. Bull Volcanol 79(7):48. CrossRefGoogle Scholar
  45. Meyer V, Becker N, Markantonis V, Schwarze R, Van Den Bergh J, Bouwer L, Bubeck P, Ciavola P, Genovese E, Green CH, Hallegate S, Kreibich H, Lequeux Q, Logar I, Papyrakis E, Pfurtscheller C, Poussin J, Przyluski V, Thieken A, Viavattene C (2013) Review article: assessing the costs of natural hazards—state of the art and knowledge gaps. Nat Hazards Earth Syst Sci 13(5):1351–1373. CrossRefGoogle Scholar
  46. Miller RE, Blair PD (2009) Input-output analysis: foundations and extensions. Cambridge University Press, Great Britain, Cambridge. CrossRefGoogle Scholar
  47. Narayan PK (2003) Macroeconomic impact of natural disasters on a small island economy: evidence from a CGE model. Appl Econ Lett 10(11):721–723. CrossRefGoogle Scholar
  48. Neall VE (1979) Sheets P19, P20 and P21 New Plymouth, Egmont and Manaia, GeologicalGoogle Scholar
  49. Neall VE, Alloway BV (1993) Volcanic hazards at Egmont volcano, Volcanic hazards information series 1, 2nd edn. Ministry of Civil Defence, Palmerston North 31pGoogle Scholar
  50. Neill M, Hinkle WP, Morgan G (2016) Scenarios—international best practice: an analysis of their use by the United States, United Kingdom and Republic of Korea IDA document D-5665 log: H 15–001167. Institute for Defense Analyses, VirginiaGoogle Scholar
  51. Newhall CG, Self S (1982) The volcanic explosivity index (VEI): an estimate of explosive magnitude for historical volcanism. J Geophys Res 87(C2):1231–1238. CrossRefGoogle Scholar
  52. Noy I (2009) The macroeconomic consequences of disasters. J Dev Econ 88(2):221–231. CrossRefGoogle Scholar
  53. Noy I, Nualsri A (2007) What do exogenous shocks tell us about growth theories? Working Papers, Santa Cruz Center for International Economics: UC Santa CruzGoogle Scholar
  54. Okuyama Y, Chang SE (eds) (2004) Modeling spatial and economic impacts of disasters. Springer-Verlag, Berlin. Google Scholar
  55. Palmer BA, Alloway BV, Neall VE (1991) Volcanic-debris avalanche deposits in New Zealand–lithofacies organisation in unconfined, wet-avalanche flows. In: Fisher RV, Smith GA (eds) Sedimentation in volcanic settings, vol 45. SEPM Special Publication, p 89–98Google Scholar
  56. Perry RW, Lindell MK (2003) Preparedness for emergency response: guidelines for the emergency planning process. Disasters 27(4):336–350. CrossRefGoogle Scholar
  57. Platz T, Cronin SJ, Cashman K, Stewart RB, Smith IEM (2007) Transition from effusive to explosive phases in andesite eruptions—a case-study from the AD1655 eruption of Mt. Taranaki, New Zealand. J Volcanol Geotherm Res 161(1–2):15–34. CrossRefGoogle Scholar
  58. Platz T, Cronin SJ, Procter JN, Neal VE, Foley S (2012) Non-explosive, dome-forming eruptions at Mt. Taranaki, New Zealand. Geomorphology 136(1):15–30. CrossRefGoogle Scholar
  59. Porter KA (2003) An overview of PEER’s performance-based earthquake engineering methodology, Ninth International Conference on Application of Statistics and Probability in Civil Engineering (ICASP9) July 6–9, San FranciscoGoogle Scholar
  60. Procter JN, Cronin SJ, Zernack AV (2009) Landscape and sedimentary response to catastrophic debris avalanches, western Taranaki, New Zealand. Sediment Geol 220(3-4):271–287. CrossRefGoogle Scholar
  61. Procter JN, Cronin SJ, Platz T, Patra A, Dalbey K, Sheridan M, Neall VE (2010) Mapping block-and-ash flow hazards based on Titan 2D simulations: a case study from Mt. Taranaki, NZ. Nat Hazards 53(3):483–501. CrossRefGoogle Scholar
  62. Raddatz C (2007) Does the exchange rate regime matter for real shocks? Evidence from windstorms and earthquakes. J Int Econ 73(1):31–47CrossRefGoogle Scholar
  63. Rose A (2004) Economic principles, issues, and research priorities in hazard loss estimation. In: Okuyama Y, Chang S (eds) Modeling Spatial and Economic Impacts of Disasters. Springer, Berlin, pp 14–36Google Scholar
  64. Rose A, Guha G (2004) Computable general equilibrium modelling of lifeline losses. In: Okuyama Y, Chang S (eds) Modeling spatial and economic impacts of disasters. Springer, Berlin. Google Scholar
  65. Rose A, Liao SY (2005) Modeling regional economic resilience to disasters: a computable general equilibrium analysis of water service disruptions. J Reg Sci 45(1):75–112. CrossRefGoogle Scholar
  66. Roverarto M, Cronin SJ, Procter JN, Capra L (2014) Textural features indicate the transport and emplacement of the >7 km3 Pungarehu debris avalanche deposit, Mt. Taranaki, New Zealand. Bull Geol Soc Am 127(1-2):3–18. CrossRefGoogle Scholar
  67. Saucedo R, Macías JL, Gavilanes JC, Arce JL, Komorowski JC, Gardner JE, Valdez-Moreno G (2010) Eyewitness, stratigraphy, chemistry, and eruptive dynamics of the 1913 Plinian eruption of Volcán de Colima, México. J Volcanol Geotherm Res 191(3-4):149–166. CrossRefGoogle Scholar
  68. Shell (2002) People and connections; global scenarios to 2020; public summary. Global Business Environment, Shell InternationalGoogle Scholar
  69. Skidmore M, Toya H (2002) Do natural disasters promote long-run growth? Econ Inq 40(4):664–687. CrossRefGoogle Scholar
  70. Smith N, Zhang Y, Cardwell R, McDonald G, Kim J-H, Murray C (2015) Development of a social accounting framework for New Zealand. ERI research report 2015/01. Lower Hutt, GNS ScienceGoogle Scholar
  71. Smith NJ, McDonald GW, Kim J-H (2016a) Economic impacts of the state highway 4 outage—June 2015. Economics of Resilient Infrastructure Report 2016/03. GNS Science, Lower HuttGoogle Scholar
  72. Smith NJ, Kim J-H, McDonald GW (2016b) Auckland water outage scenario: modelling the economic consequences of interruptions in infrastructure service using MERIT. Economics of Resilient Infrastructure Report 2016/02. Lower Hutt, GNS ScienceGoogle Scholar
  73. Soros G (1990) Opening the soviet system. Weidenfeld and Nicholson, LondonGoogle Scholar
  74. Statistics New Zealand (2014) 2013 Census of population and dwellings. Statistics New Zealand, WellingtonGoogle Scholar
  75. Stewart C, Johnston DM, Leonard G, Horwell C, Thordarsson T, Cronin SJ (2006) Contamination of water supplies by volcanic ashfall: a literature review and simple impact modelling. J Volcanol Geotherm Res 158(3-4):296–306. CrossRefGoogle Scholar
  76. Surono, Jousset P, Pallister J, Boichu M, Buongiorno MF, Budisantoso A, Costa F, Andreastuti S, Prata F, Schneider D, Clarisse L, Humaida H, Sumarti S, Bignami C, Griswold J, Carn S, Oppenheimer C, Lavigne F (2012) The 2010 explosive eruption of Java’s Merapi volcano—a ‘100-year’ event. J Volcanol Geotherm Res 241–242:121–135CrossRefGoogle Scholar
  77. Taranaki CDEM Group (2004) Taranaki civil Defence emergency management group volcanic strategy 2004. Taranaki Regional Council, StratfordGoogle Scholar
  78. Taranaki CDEM Group (2012) Civil defence emergency management group plan for Taranaki 2012–2017. Taranaki Regional Council, StratfordGoogle Scholar
  79. Tatano H, Tsuchiya S (2008) A framework for economic loss estimation due to seismic transportation network disruption: a spatial computable general equilibrium approach. Nat Hazards 44(2):253–265. CrossRefGoogle Scholar
  80. Torres-Orozco R, Cronin SJ, Pardo N, Palmer AS (2017) New insights into Holocene eruption episodes from proximal deposit sequences at Mt. Taranaki (Egmont), New Zealand. Bull Volcanol:79–73.
  81. Turner MB, Cronin SJ, Smith IEM, Bebbington M, Stewart RB (2008) Using titanomagnetite textures to elucidate volcanic eruption histories. Geology 36(1):31–34. CrossRefGoogle Scholar
  82. Turner MB, Bebbington MS, Cronin SJ, Stewart RB (2009) Merging eruption datasets: towards an integrated holocene eruptive record of Mt. Taranaki, New Zealand. Bull Volcanol 71(8):903–918. CrossRefGoogle Scholar
  83. United Nations (2008) International Standard Industrial Classification of All Economic Activities (ISIC), Rev.4. The United Nations Department of Economic and Social Affairs Statistics Division. Statistical Papers, Series M No.4/Rev.4, Washington, DC: United NationsGoogle Scholar
  84. United Nations (2015) Central Product Classification (CPC) Version 2.1. The United Nations Department of Economic and Social Affairs Statistics Division. Statistical Papers, Series M No. 77, Ver.2.1, Washington, DC: United NationsGoogle Scholar
  85. van der Heijden K (1996) Scenarios: the art of strategic conversation. Wiley, ChichesterGoogle Scholar
  86. Wada H, Wakigawa K, Yokomatsu M, Takeya K (2014) The role of a macro-economic model for disaster risk reduction policy in developing countries. IDRiM J 4(1):12–29. CrossRefGoogle Scholar
  87. Wilson T (2009) Vulnerability of pastoral farming systems to volcanic ashfall hazards. PhD thesis University of CanterburyGoogle Scholar
  88. Wilson G, Wilson T, Deligne N, Cole J (2014) Volcanic hazard impacts to critical infrastructure: a review. J Volcanol Geotherm Res 286:148–182. CrossRefGoogle Scholar
  89. Xie W, Li N, Wu JD, Hao XL (2013) Modeling economic costs of disasters and recovery involving positive effects of reconstruction: analysis using a dynamic CGE model. Nat Hazards Earth Syst SciDiscussions 1(6):6357–6398. CrossRefGoogle Scholar
  90. Xie W, Li N, Wu J, Hao X (2015) Disaster risk decision: a dynamic computable general equilibrium analysis of regional mitigation investment. Hum Ecol Risk Assess 21(1):81–99. CrossRefGoogle Scholar
  91. Zernack A, Procter J, Cronin SJ (2009) Sedimentary signatures of cyclic growth and destruction of stratovolcanoes: a case study from Mt. Taranaki, New Zealand. Sediment Geol 220(3-4):288–305. CrossRefGoogle Scholar
  92. Zernack AV, Cronin SJ, Neall VE, Procter JN (2011) A medial to distal volcaniclastic record of an andesitic stratovolcano: detailed stratigraphy of the ring-plain succession of south-west Taranaki, New Zealand. Int J Earth Sci 100(8):1937–1966. CrossRefGoogle Scholar
  93. Zernack AV, Cronin SJ, Bebbington MS, Price R, Smith IEM, Stewart RB, Procter JN (2012a) Forecasting catastrophic stratovolcano collapse: a model based on Mount Taranaki, New Zealand. Geology 40(11):983–986. CrossRefGoogle Scholar
  94. Zernack AV, Price RC, Smith IEM, Cronin SJ, Stewart RB (2012b) Temporal evolution of a high-k andesitic magmatic system: Taranaki Volcano, New Zealand. J Petrol 53(2):325–363. CrossRefGoogle Scholar
  95. Zuccaro G, Cacace F, Spence RJS, Bazter (2008) Impact of explosive eruption scenarios at Vesuvius. J Volcanol Geotherm Res 178(3):416–453. CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2017

Authors and Affiliations

  • G. W. McDonald
    • 1
    Email author
  • S. J. Cronin
    • 2
    • 3
  • J.-H. Kim
    • 1
  • N. J. Smith
    • 1
  • C. A. Murray
    • 1
  • J. N. Procter
    • 2
  1. 1.Market Economics LimitedAucklandNew Zealand
  2. 2.Institute of Agriculture and EnvironmentMassey UniversityPalmerston NorthNew Zealand
  3. 3.School of EnvironmentUniversity of AucklandAucklandNew Zealand

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