EXTREME WEATHER EVENTS AND CLIMATE CHANGE: THE CASE OF THE PROVINCE OF NEW BRUNSWICK IN ATLANTIC CANAD
Анотація
Extreme weather events such as snowstorms, heavy rainfalls and heat waves have recently started to affect the province of New Brunswick in a more pronounced way. Many researchers attribute these increasing impacts to the changing climate in the province. These stylized facts are tested in this study. Testing was based on the so-called damage functions defined at the so-called meso or regional level. First, it is shown statistically that the number of these extreme weather events in the province has been increasing over time, and second, that they have negative impact on regional economy in terms of provincial real GDP. The link between extreme weather events and climate change in the province of New Brunswick is also detected, however, it is rather weak according to the obtained results. The latter points at the need to extend this study using disaggregated microeconomic data.
Посилання
Carrera, L. (2013). Assessing direct and indirect economic impacts of a flood event through the integration of spatial and computable general equilibrium modelling, Research Papers Issue, RP0202, December 2013.
Freeman, P.K., Martin, L.A., Mechler, R., Warner, K., and Hausmann, P. (2002). Catastrophes and Development: Integrating Natural Catastrophes into Development Planning, Working Paper Series No. 4, World Bank.
Hallegatte, S., Przyluski, V. (2010). The Economics of Natural Disasters: Concepts and Methods, Policy Research Working Paper 5507, WorldBank.
Jahn, M. (2015). Economics of extreme weather events: Terminology and regional impact models, Weather and Climate Extremes, 10, 29-39.
Messner, F., Meyer, V. (2005). Flood damage, vulnerability and risk perception – challenges for flood damage research”, UFZ Discussion Papers, UFZ – Umweltforschungszentrum Leipzig – Halle Department Ökonomie Permoserstr, 15D – 04318 Leipzig.
Okuyama Y. (2003). Economics of Natural Disasters: A Critical review, Research Paper, Regional Research Institute, West Virginia University 511 N. High Street Morgantown, WV 26506-6825 USA.
Prahl, B.F., Rybski, D., Boettle, M. Kropp, J.P. (2016). Damage functions for climate-related hazards: unification and uncertainty analysis, Research article, Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany.
Raa, T., Shestalova, V. (2011). The Solow residual, Domar aggregation, and inefficiency: a synthesis of TFP measures. Journal of Productivity Analysis, 36, 71–77.
Rose, A. (2004). Economic Principles, Issues, and Research Priorities in Hazard Loss Estimation, Springer, NewYork, pp. 13–36.
Shibusawa, H., and Miyata, Y. (2011). Evaluating the dynamic and spatial economic impacts of an earthquake: ACGE application to Japan, Regional Sciences Inquiry Journal, 3(2), 13–25.
