The objective of this paper is to elicit stakeholder preferences in relation to different Multiple Use Offshore Platforms (MUOP) designs produced by the TROPOS project (www.troposplatform.eu) for the Liuqiu Island, Taiwan using the Choice Experiment (CE) method. To authors/ acknowledge, this is the first non-market valuation of multiple use offshore platforms and definitely the first using CE in this context. The MUOP concept is defined as a floating platform moored in Taiwan shallow waters located offshore and concerned as a sustainable and ecologic location, which supports the development of the local economy and serves as an example of sustainable development in offshore environments. The CE was conducted on tourists and residents of the area. A ranking preference technique with visual aids was used, in order to obtain a more complete characterization of the respondentsAƒÂ¢A¯Â?½A¯Â?½ preference structure. The attributes used were the environmental impacts of the modules (using an ecosystem services approach), the level of mitigation, the existence of renewable energy production and leisure facilities. The results show that residents would be less likely to support the development of such a project, compared to tourists that would be willing to pay a daily tax for the leisure and renewable energy facilities.
The objective of the FP7 funded TROPOS project is to design a modular multi-use platform for use in deep waters, with a focus on the Mediterranean, tropical and sub-tropical regions. In this paper, the related environmental aspects are considered, where both legal and technical issues are addressed. The multiple purpose platforms can enlarge the benefit from different functions, and reduce the environmental impacts through synergies among single impact as well. This proposed study demonstrates the impact assessment through multiple, integrated technologies.
Marine oil pollution incidents not only cause serious damage to marine ecosystems, but may also have long-term impacts on human health and economic activities. Based on historical cases, this paper comprehensively analyses the development and optimization of Taiwan's marine oil spill response mechanisms over the past two decades. Taiwan's legal framework for marine oil spills is mainly based on the Marine Pollution Control Act (MPCA). Technological advances have had a significant impact on Taiwan's marine oil spill response mechanisms, and the development of remote sensing monitoring technology, rapid response equipment and bioremediation technology has improved the efficiency of Taiwan's oil spill response. However, Taiwan still faces the challenge that with the emergence of new types of pollutants, the traditional response mechanisms appear to be inadequate, and further research and technological development is needed to meet these challenges. The results of the study are expected to provide valuable references for other countries to develop their own legislative frameworks, emergency response mechanisms and capacity building strategies.
This chapter studies the social acceptance and socio-economic effects associated with the development of multi-use offshore platforms, using a theoretical concept in Taiwan as the relevant case-study. We use a face-to-face surveys together with in-depth interviews with local people and tourists who are currently or will be potentially affected by offshore developments on Liuqiu Island. A choice experiment is deployed to assess the ecosystem services and non-market effects of the platform. The social costs and benefits analysis are adopted to synthesize both market and non-market effects of the platform. The study finds a generally high support for the platform among tourists. The concern mainly focuses on the uncertain environmental impacts and effects on local fishery industry. Neither locals nor tourists view the energy hub which generates most income and jobs as a very attractive option. The Green & Blue concept shows a high environmental nonmarket benefit which amount to 618 million $NT. However, the high investment cost over weighs the positive GDP and environmental gain when comparing the social benefits with investment costs.
Abstract Background: Developmental policies in low- and middle-income countries poses immense potential within the agriculture sectors to escalate economic growth and development. As almost one-half of the workforces continue to be engaged in agriculture and allied activities with a lower economic contribution, realizing such potential however requires tremendous scaling up of skill development activities in the sector. Investing in skill development of workers engaged in agricultural and allied activities can potentially display notable value additions, income generation and therefore reductions in widespread deprivations in the form of food insecurity and undernutrition. Further with the direct link between nutrition and productivity, economic gains, it is further imperative to impart market exposure among subsistence and unskilled workers. This study therefore empirically investigates the association between households’ primary occupation and caloric deprivation in India. In particular, in a multivariate and multilevel framework, we identified how closely primary occupation of households explain the variation in caloric deprivation in India. Methods: Therefore, drawing upon data from 68 th round (2011-12) of nationally representative cross-sectional Household Consumer Expenditure Survey (HCES) of National Sample Survey (NSS), Government of India, we examined the statistical and econometric association between occupational backgrounds of households and caloric deprivation (average caloric consumption as well as low calorie intake) among Indian households. Results : Evidences show that agricultural and fishery labor households have lowest calorie intake (2086 kcal) across all the occupational groups. However, market oriented skilled agricultural and fishery workers’ (2261 kcal – rural, 2165 kcal - urban) have higher calorie intakes than those belonging to subsistence agricultural (2165 kcal – rural, 2149 kcal - urban). Further, the multilevel logistic regression estimates suggest that in rural areas, households engaged in skilled agricultural and fishery works have significantly (at 5% level) lower odds ratio (OR: 0.72, with 95% CI: 0.63; 0.82) of having insufficient calorie intake compared to the unskilled agricultural and fishery laborer households. Estimates from variance partitioning based on multilevel logistic regression models suggest that the households’ occupational group accounts for 7 to 14 percent of total variation in calorie consumption. Conclusion : These insights when combined with the occupation-specific random-effects suggests that investing in skill development of agricultural and fishery workers may have immense potential to strengthen their income generation capacity and to reduce deprivation levels.
Abstract Background: Given the presumptions of low-productivity, developmental policies in low- and middle-income countries usually display a pro-manufacturing bias and largely undermine the potentials within the agriculture sectors in promoting sustainable growth and development. As a consequence, skill development is usually aligned with preferences of the manufacturing-led economic growth and is accorded high priorities in policymaking. However, the success of such skill development policies essentially hinges upon the assumption of a quick and successful structural transformation towards non-agricultural sector (manufacturing and services). But contrary to expectations, the pace of economic transition has been rather slow in India and almost one-half of the workforces continue to be engaged in agriculture and allied activities. Moreover, it is unclear whether such shift away from agriculture can necessarily lead to reductions in widespread deprivations in the form of food insecurity and under nutrition. In fact, it is also feasible that market orientation of skilled agricultural and fishery sector may display favorable impact on poverty and nutritional well-being of households. Methods: Therefore, drawing upon data from 68 th round (2011-12) of nationally representative cross-sectional Household Consumer Expenditure Survey (HCES) of National Sample Survey (NSS), Government of India, this study aims to examine the association between occupational backgrounds and nutritional deprivation (average caloric consumption as well as low calorie intake) among Indian households. Results : Evidences show that agricultural and fishery labor households have lowest calorie intake (2086 kcal) across all the occupational groups. However, market oriented skilled agricultural and fishery workers’ (2261 kcal – rural, 2165 kcal - urban) have higher calorie intakes than those belonging to subsistence agricultural (2165 kcal – rural, 2149 kcal - urban) and fishery workers or agricultural and fishery laborer (2086 kcal – rural, 2071 kcal - urban). Further, the multilevel logistic regression estimates suggest that in rural areas, households engaged in skilled agricultural and fishery works have significantly (at 5% level) lower odds ratio (OR: 0.72, with 95% CI: 0.63; 0.82) of having insufficient calorie intake compared to the unskilled agricultural and fishery laborer households. Conclusion : These insights when combined with the occupation-specific random-effects suggests that policy focus to promote market oriented skilled agricultural and fishery workers can be an equally good option as direct investment in professional and managerial skills for manufacturing and services.
Extreme rainfall events have a negative effect on the coastal area of Jiadung Township in Pingtung County, Taiwan, which experiences critical land subsidence. Local stakeholders have developed various measures for coping with flooding impacts according to past experience. These adaptive measures not only involve managing the impact of heavy rainfall but also resisting the disastrous effects of land subsidence. However, in 2009, Typhoon Morakot caused multiple days of intense rainfall and nearly rendered ineffective the adaptive measures employed to prevent damage. Stakeholders adopt diverse measures according to different needs and vulnerabilities. Consequently, some adaptive measures are likely to cause an increase in the vulnerability of different sectors and induce additional socioeconomic impacts. This paper presents the results of a semistructured questionnaire and field survey conducted for analyzing the adaptive measures adopted by local stakeholders before and after Typhoon Morakot. According to the routes and pathways of maladaptation in the Jiadung coastal area, this study analyzed the main adaptive measures and functions as well as identified the entities affected by maladaptation. Furthermore, this study emphasizes a bottom-up viewpoint for adaptation policy decision makers.
Abstract Background Developmental policies in low- and middle-income countries pose immense potential within the agriculture sectors to escalate economic growth and development. Almost one-half of the workforces continue to be engaged in agriculture and allied activities with a relatively lower economic contribution than those employed in other sectors. Hence, realizing such potential however requires tremendous scaling up of skill development activities in the sector. Investing in skill development of workers engaged in agricultural and allied activities can potentially display notable value additions, income generation and therefore reductions in widespread deprivations in the form of food insecurity and undernutrition. Further with the direct link between nutrition and productivity, economic gains, it is further imperative to impart market exposure among subsistence and unskilled workers. This study therefore empirically investigates the association between households’ primary occupation and caloric deprivation in India. In particular, in a multivariate and multilevel framework, we identified how closely primary occupation of households explain the variation in caloric deprivation in India. Methods Drawing upon data from 68th round (2011–12) of nationally representative cross-sectional Household Consumer Expenditure Survey (HCES) of National Sample Survey (NSS), Government of India, we examined the association between occupational backgrounds of households and caloric deprivation (average caloric consumption as well as low calorie intake) among Indian households. Results Evidences show that agricultural and fishery labor households have lowest calorie intake (2086 kcal) across all the occupational groups. However, market oriented skilled agricultural and fishery workers’ (2261 kcal – rural, 2165 kcal - urban) have higher calorie intakes than those belonging to subsistence agricultural (2165 kcal – rural, 2149 kcal - urban). Further, the multilevel logistic regression estimates suggest that in rural areas, households engaged in skilled agricultural and fishery works have significantly (at 5% level) lower odds ratio (OR: 0.72, with 95% CI: 0.63; 0.82) of having insufficient calorie intake compared to the unskilled agricultural and fishery laborer households. Estimates from variance partitioning based on multilevel logistic regression models suggest that the households’ occupational group accounts for 7 to 14% of total variation in calorie consumption. Conclusion These insights when combined with the occupation-specific random-effects suggest that investing in skill development of agricultural and fishery workers may have immense potential to strengthen their nutritional status and to reduce deprivation levels.