Climate change issues have attracted much attention in recent years. To date, the related research has focused mostly on the national and regional impacts of climate change. Taiwan, an island state, has relatively high vulnerability to the consequences of climate change, and its western coastal areas are particularly vulnerable. Yunlin County, with 13 townships that are all prone to flooding, will be highly affected by climate change. In this study, the 13 townships are grouped into four categories of synthesized vulnerability and ecological footprint (EF): “low synthesized vulnerability/low EF” (Linnei), “high synthesized vulnerability/low EF” (Sihu), “low synthesized vulnerability/high EF” (Mailiao), and “high synthesized vulnerability/high EF” (Huwei). Ecological footprint was used to measure the human demand for resources and ecological services, as well as a way to understand the relationships among human living habits, consumption patterns, and natural capital consumption. Then, the relationships among attitudes to climate change, risk perceptions, and coping behavioral intentions in these four categories were examined using structural equation models (SEM). A stratified random sampling method was used to collect 582 valid questionnaires. In addition to descriptive statistical analyses, the results of the SEMs for the four sensitivity categories indicate that different townships exhibit different causal relationships among attitudes to climate change, risk perceptions, and behavioral intentions. These findings can support appropriate strategies for governments, communities, and non-governmental organizations (NGOs) for ensuring that areas of various sensitivities can cope. However, more vulnerable townships exhibit no significant positive relationship between attitudes to and knowledge of climate change, place attachment, and their adaptation behavioral intentions in the face of disaster risk perceptions. Therefore, in areas with high vulnerability, special attention should be paid to making the residents improve their adaptive behavioral intentions in the face of disaster risk perceptions.

According to the 2011 edition of the National Footprint Accounts (NFA) published by the Global Footprint Network (GFN), humankind consumed the resources and services of 1.5 planets in 2008; the corresponding number in 1961 was 0.7 planets. North Americans have an ecological footprint of 8.7 global hectares per person whereas Africans have a footprint of only 1.4 global hectares per person. The global mean biological capacity is only 1.8 global hectares per person so human beings are overshooting ecological resources. The ecological footprint measures the resources that are consumed by humans from the biosphere, and serves as an index of the sustainability of development. The NFA includes the ecological footprints of over 200 countries and regions, but not Taiwan. Hence, Taiwan must establish and update its own ecological footprint databases. Ecological footprint is one indicator of the sustainability of development, and can be compared across nations. This study extends previous studies by analyzing Taiwan’s ecological footprint from 2008–2011. With reference to the ecological footprint accounts of the Global Footprint Network and the Taiwan’s ecological footprint analysis for 1997–2007, this study presents Taiwan’s ecological footprint from 2008–2011. Most of the data that are used herein are taken from the Food and Agriculture Organization, the International Energy Agency, Taiwan’s Council of Agriculture and Taiwan’s National Development Council. The results thus obtained reveal that Taiwan’s ecological footprint from 2008–2011 exceeded that from 1997–2007. To respond to this trend toward un-sustainable development and to help Taiwan move toward sustainability, carbon reduction and energy saving policies should be implemented to effectively manage Taiwan’s ecological resources.

Extreme weather events have affected the environment and water resources in Taiwan for the last two decades. Heavy rainfall, typhoons, and rising sea levels have caused severe flooding along the Southwest Coast in Taiwan. Yunlin County, an important agricultural region, will be significantly affected by climate changes, especially in coastal areas with severe land subsidence. Therefore, using the concept of the water footprint and questionnaire surveys, this study examines personal water footprints in townships in Yunlin County to explore the effectiveness and sustainability of water management. The purpose of the water footprint concept is to quantify environmental burdens imposed by individuals’ demand for water. An individual water footprint involves direct and indirect water usage that is associated with personal habits. Analytical results show that the most individual water consumption is highest along coastal areas, such as Kouhu and Taixi, and mountainous areas, such as Gukeng, Douliu, and Linnei. Furthermore, one-way ANOVA of individuals’ daily water footprint reveals that individual water footprints vary significantly among Douliu, Gukeng, and Mailiao. The mean daily water footprint per capita in Douliu and Gukeng significantly exceeds that in Mailiao. This study considers the location quotients of industries in these three townships, which indicate that the location quotients of the accommodation and food and beverage industries in Douliu and Gukeng significantly exceed those of Mailiao. The individual virtual water use that is associated with the aforementioned industries is large. Clearly, individual water use habits in townships are related to the industry type. Douliu and Gukeng are major centers of the tertiary industry, which has a higher location quotient than in Mailiao. Mailiao is a major center of manufacturing as a secondary industry. Therefore, flourishing regions with tertiary industries have high virtual water consumption. These findings suggest that personal water use habits can explain why personal water footprints are larger in Yunlin County than in other counties in Taiwan.