计量经济分析 = Econometric analysis

Mitigation from a cross-sectoral perspective

Since the IPCC Third Assessment Report (TAR), our understanding of the implications of climate change for coastal systems and low-lying areas (henceforth referred to as ‘coasts’) has increased substantially and six important policy-relevant messages have emerged. Coasts are experiencing the adverse consequences of hazards related to climate and sea level (very high confidence). Coasts are highly vulnerable to extreme events, such as storms, which impose substantial costs on coastal societies [6.2.1, 6.2.2, 6.5.2]. Annually, about 120 million people are exposed to tropical cyclone hazards, which killed 250,000 people from 1980 to 2000 [6.5.2]. Through the 20th century, global rise of sea level contributed to increased coastal inundation, erosion and ecosystem losses, but with considerable local and regional variation due to other factors [6.2.5, 6.4.1]. Late 20th century effects of rising temperature include loss of sea ice, thawing of permafrost and associated coastal retreat, and more frequent coral bleaching and mortality [6.2.5]. Coasts will be exposed to increasing risks, including coastal erosion, over coming decades due to climate change and sea-level rise (very high confidence). Anticipated climate-related changes include: an accelerated rise in sea level of up to 0.6 m or more by 2100; a further rise in sea surface temperatures by up to 3°C; an intensification of tropical and extratropical cyclones; larger extreme waves and storm surges; altered precipitation/run-off; and ocean acidification [6.3.2]. These phenomena will vary considerably at regional and local scales, but the impacts are virtually certain to be overwhelmingly negative [6.4, 6.5.3].

https://ro.uow.edu.au/cgi/viewcontent.cgi?article=1192&context=scipapers

Coastal systems and low-lying areas

A literature survey on energy–growth nexus

An econometric study of CO2 emissions, energy consumption, income and foreign trade in Turkey

Tourism, being volatile and situation-specific, is responsive to climate change. A cross- section analysis is conducted on destinations of OECD tourists and a factor and regression analysis on holiday activities of Dutch tourists, to find optimal temperatures at travel destination for differ- ent tourists and different tourist activities. Globally, OECD tourists prefer a temperature of 21 ◦ C (average of the hottest month of the year) at their choice of holiday destination. This indicates that, under a scenario of gradual warming, tourists would spend their holidays in different places than they currently do. The factor and regression analysis suggests that preferences for climates at tourist destinations differ among age and income groups.

https://www.econstor.eu/bitstream/10419/155211/1/NDL2001-048.pdf

Impact of climate on tourist demand

Energy consumption and GDP in Turkey: is there a co-integration relationship?

Decomposition of CO2 emissions over 1980-2003 in Turkey

Impact of climate on tourism demand

http://directory.umm.ac.id/Data%20Elmu/jurnal/E/Ecological%20Economics/Vol34.Issue3.Sept2000/11081.pdf

Wietze Lise

Papers

Impact of climate on tourist demand

Energy consumption and GDP in Turkey: is there a co-integration relationship?

Decomposition of CO2 emissions over 1980-2003 in Turkey

Impact of climate on tourism demand

Factors influencing people's participation in forest management in India