Lin, H. and Chou, L., 2019. Natural disasters caused by climate change and agricultural products loss in cross-strait industry: An input-output analysis. In: Yu, T.-s. (ed.), Environmental Sustainability: Water Resources Integrated Management and the Development of Coastal Environments. Journal of Coastal Research, Special Issue No. 96, pp. 1–4. Coconut Creek (Florida), ISSN 0749-0208.

In order to estimate the direct and indirect losses caused by natural disaster, this study conducts an Inter-Country Input-Output (ICIO) analysis to discuss the impacts on cross-strait industries in the face of disasters losses. The present study includes data from 96 sectors' cross-strait Inter-Country Input-Output table and the statistics of agriculture during 2005-2011 in Taiwan and the period 2005-2010 in Mainland China. The results indicate the total value-added effect in Mainland China is larger than Taiwan, whereas the multiplier of agriculture losses in Taiwan is larger than Mainland China. This indicates that the losses caused by natural disasters are larger in Taiwan is than in Mainland China.

Shi, P.; Hu P.; Chen X., and Zhang, F., 2019. The impact of institutional ownership on corporates' environmental responsibility: Empirical evidence from coastal public companies in China. In: Yu, T.-s. (ed.), Environmental Sustainability: Water Resources Integrated Management and the Development of Coastal Environments. Journal of Coastal Research, Special Issue No. 96, pp. 5–11. Coconut Creek (Florida), ISSN 0749-0208.

The environmental problems in coastal areas of China are attracting more and more attention, and how to control and guide coastal enterprises to fulfill environmental responsibilities have become an urgent issue to be solved. Institutional ownership, as an external supervisory force, can play a restrictive role in the production of enterprises. Therefore, this paper includes the data of China's coastal public companies from 2010 to 2016 to study the relationship between institutional ownership and corporate environmental responsibility (CER). The results show that institutional ownership, as an external restraint force, can promote enterprises to actively fulfill CER, which is more significant in state-owned enterprises. Further research also finds that different types of institutional ownership have heterogeneous roles in restraining enterprises from fulfilling environmental responsibilities. The conclusions of this study can provide theoretical support for enterprises to adjust equity structure and enhance the performance of environmental responsibility by introducing external ownership. Based on these findings, government may also formulate corresponding policies and promote the implementation of environmental responsibility.

Huang, H.; Chen, X.; Yue, X., and Chen, M., 2019. The relationship between industrial production performance and energy conservation efficiency in coastal and inland cities in China. In: Yu, T.-s. (ed.), Environmental Sustainability: Water Resources Integrated Management and the Development of Coastal Environments. Journal of Coastal Research, Special Issue No. 96, pp. 12-20. Coconut Creek (Florida), ISSN 0749-0208.

With the increase of environmental pollution brought by the high-speed economic growth in China, in recent years, the Chinese government has increasingly attached importance to the protection of environment while pursuing economic development. However, previous studies in China rarely discussed the relationship between production efficiency and energy performance across different provinces and regions in China. This study therefore includes the data of China Urban Statistical Yearbook and analyzes the changes in industrial production performance and energy conservation efficiency in coastal and inland cities in China from 2009 to 2014. First, empirical evidences showed that coastal cities had the highest mean score of production and energy efficiency over the years, followed by central provinces and then western provinces. There was an inward extension of performance reduction along the coastline, that is, the closer to the sea, the higher was the industrial production performance. Second, production performance and energy conservation efficiency were negatively correlated. In order to effectively improve the environmental governance in China, it is important to improve the production performance and energy conservation efficiency in inland cities, which may also help solving the unbalanced development of regional economy in China.

Dong, Y.; Yang, J.; Hu, P., and Chou, L., 2019. A study on the relationship between economic production performance and pollution in Chinese coastal cities: An analysis of the undesired output. In: Yu, T.-s. (ed.), Environmental Sustainability: Water Resources Integrated Management and the Development of Coastal Environments. Journal of Coastal Research, Special Issue No. 96, pp. 21-25. Coconut Creek (Florida), ISSN 0749-0208.

This article discusses the economic efficiency of coastal cities in Fujian, Zhejiang and Jiangsu provinces between 2009 and 2014, from the perspective of undesired output. The empirical results show that, considering the undesired output of industrial wastewater and sulfur dioxide generated in urban economic activities, Jiangsu Province has the highest production efficiency, followed by Fujian Province, and Zhejiang Province. The economic efficiency of coastal cities experiences a trend of growth (2009-2011), drop (2011-2012), and growth (2012 and beyond).

Yu, J.; Hu, P., and Chou, L., 2019. Apply supply-driven input-output model to evaluate economic losses from coastal typhoons. In: Yu, T.-s. (ed.), Environmental Sustainability: Water Resources Integrated Management and the Development of Coastal Environments. Journal of Coastal Research, Special Issue No. 96, pp. 26–31. Coconut Creek (Florida), ISSN 0749-0208.

Previous statistics on losses due to natural disasters often only accounted for direct losses, with a lack of statistics of indirect losses due to difficulty in estimation. In order to explore the impact of coastal disasters on island economy and provide suggestions for national investment, this paper focuses on Taiwan province(China), which is an strategic part of China's “One Belt One Road” initiative, and uses Supply-driven Input-Output Analysis to build an input-output model, taking typhoon as an example. The empirical results show that the Typhoon Fanapi has caused substantial damage to the agricultural industry in Taiwan (China), with a multiplier effect of output impairment of 1.33, and an increase in the unemployment rate of 0.06 percentage points.

Tang, M.; Wang, H., and Huang, W., 2019. The influence of industrial policy on the industrial economy of the urban agglomeration around the coast of Hangzhou Bay. In: Yu, T.-s. (ed.), Environmental Sustainability: Water Resources Integrated Management and the Development of Coastal Environments. Journal of Coastal Research, Special Issue No. 96, pp. 32–41. Coconut Creek (Florida), ISSN 0749-0208.

This paper first defines and clarifies the theoretical framework of industrial policy and industrial structure, and then analyzes the relationship between industrial policy and industrial structure of Hangzhou Bay through case studies about domestic and international cases and empirical research. The results revealed from the present study will have important theoretical and practical implication for governments to improve the relationship between industrial policy and industrial structure, and promote the sustainable and healthy development of the industrial structure of Hangzhou Bay. The main results are: first, from 2000 to 2018, the urban agglomeration around Hangzhou Bay (UAHB) has grown more than ten times, but there are considerable differences among different cities; second, the growth rate of the output of the primary, secondary and tertiary industries of UAHB is less than the growth rate of the output of the whole country, and there are significant differences among the output values of the primary, secondary and tertiary industries of different cities; third, the industries in Shanghai, Hangzhou, Ningbo, Huzhou, Shaoxing, Jiaxing, and Zhoushan are highly complementary, and the industrial structure problems brought by their capital are more serious than the problems brought by labor force; fourth, the total number of industrial policies and tertiary industry policies of the cities increased year by year, but the number of policy about the secondary industry begins to decrease. According to results revealed from a literature review and interviews with experts, this paper suggests that the urban agglomeration around Hangzhou Bay should focus more on the planning of policies about the development of the second industry. In making the policies, it is suggested to consider factors such as technological development, high quality, macroeconomic and microeconomic factors (e.g. market competition, administrative monopoly, scale discrimination and industrial clusters), and the latest industrial policies implemented in developed countries.

Chen, W.; Zhu, X., and Shan W., 2019. Financial loss auditing model of coastal pollution in China: Based on comparative analysis. In: Yu, T.-s. (ed.), Environmental Sustainability: Water Resources Integrated Management and the Development of Coastal Environments. Journal of Coastal Research, Special Issue No. 96, pp. 42–49. Coconut Creek (Florida), ISSN 0749-0208.

The main aim of the present study is to compare different econometric models used to estimate the loss due to water pollution. The comparison is intended to find an optimal model of evaluating the financial loss of coastal pollution in China. To this end, the advantages and disadvantages of each approach were reviewed. Additionally, the main sectors in coastal areas in China most affected by water pollution are investigated. After conducting secondary research, three main econometric models, namely, concentration-loss curve model, empirical model, and analytical model, are included in the comparison. Among the three, analytical model is noted as the optimal model to estimate financial loss due to coastal pollution. The main advantage of the analytical model is that it considers not only the direct financial loss from pollution such as loss of fisheries revenue, but also indirect losses such as costs for seeking alternative sources of clean water.

Chen, L.-S.; Liu, W.-H., and Yen, H.-L., 2019. Applying the system conservation planning method to the South Penghu Marine National Park marine protected area in Penghu. In: Yu, T.-s. (ed.), Environmental Sustainability: Water Resources Integrated Management and the Development of Coastal Environments. Journal of Coastal Research, Special Issue No. 96, pp. 50-61. Coconut Creek (Florida), ISSN 0749-0208.

The South Penghu Marine National Park, Taiwan, has been established to protect special geological landscapes, traditional settlement buildings, and historical culture; at present, it is covered by coral reefs about 50% of the area. However, the desired level of protection may not be achieved without the adoption of systematic planning methods. Therefore, we applied the system conservation planning method, including stakeholder's participation, to the planning process of the Park. Then, according to the value of diversity of each site, we set the purpose and objectives of protection. The system conservation planning method aims to achieve the largest ecological conservation purposes with the minimum socio-economic cost, and to promote the development of the South Penghu Marine National Park marine protected area. Therefore, we used coral coverage rate and fish richness data, as well as socio-economic data on the harvest of the most used fishing techniques, i.e., fishing line, long line, trolling line, and gill net. The results of the Marxan analysis show that the coral coverage rate is notably high along the coast of the islands of Dongyu Pingyu, Xiyu Pingyu, and Dongjiyu, where the fishing industry is not fully developed because of the existing seabed type. Hence, this area can be considered to be established as an ecological marine protected area.

Zhang, J.; Zhang, Y.; Sun, S.-J.; Zhang, W.-W., and Zhang, S.-H., 2019. Analysis of the effect of low impact development on urban runoff control based on the SWMM model. In: Yu, T.-s. (ed.), Environmental Sustainability: Water Resources Integrated Management and the Development of Coastal Environments. Journal of Coastal Research, Special Issue No. 96, pp. 62-67. Coconut Creek (Florida), ISSN 0749-0208.

In order to solve the problems of frequent urban flood disasters and the continuous deterioration of the water environment in the process of urbanization, the urban storm flood management method centered on Low Impact Development (LID) has become a new concept in urban construction. Taking one residential area in Beijing as the research object, and on the basis of the Storm Water Management Model (SWMM), this paper simulates and analyzes the effect of LID measures on runoff control under different rainfall conditions, and deduces the functional relationship between the LID scale and runoff reduction. The results show that the runoff reduction rate decreases with the increase in rainfall level, and LID measures have the most obvious effect on runoff quantity reduction while having a small effect on the peak time delay. The research methods and results of this paper can provide a reference for sponge city construction, flood control and drainage management.

Hu, W.W., 2019. Impacts of human activities in the Hanjiang River Basin, China. In: Yu, T.-s. (ed.), Environmental Sustainability: Water Resources Integrated Management and the Development of Coastal Environments. Journal of Coastal Research, Special Issue No. 96, pp.68 –75. Coconut Creek (Florida), ISSN 0749-0208.

The eastern part of China has a large number of rivers. Humans have a long history of development of rivers, and human activities have a strong impact on rivers. The major impacts are the construction of reservoir dams and river sand excavation. In this study, the Hanjiang River located in the southeast of China's Guangdong Province was chosen as a representative site to study the effects of dams and sand mining on rivers. For dams, the main research is on the impact of dams on the river flow and sediment processes. A comparative analysis of long-term sequence hydrological data before and after the dam construction at the Chaoan Hydrometric Station indicates that dams have a significant effect on sediment reduction. Based on the analysis of the annual average water level data of the long-term sequence at the Liuhuang hydrological station, the multi-year average water level in the middle river decreased by 1.91 m mainly because of the sand mining. The results of the studies on river sand mining have shown that excessive sand mining caused serious downcuts and water level drop in the middle and lower Hanjiang River, especially in the lower river. Dams and river sand mining will change the water and sand balance of the river, affecting the stability of the river course and river regime. These results can be used as a reference for scientific and rational water conservancy project construction, ecological restoration and protection, rational development, and management decisions for rivers in eastern China.

Diao, W.; Zhao, Y.; Zhai, J.; He, F.; Wang, Q., and He, G., 2019. Impact of land cover change trajectories on water cycle dynamics in the Jing-Jin-Ji region, China, from 2000 to 2015. In: Yu, T.-S. (ed.), Environmental Sustainability: Water Resources Integrated Management and the Development of Coastal Environments. Journal of Coastal Research, Special Issue No. 96, pp. 76–83. Coconut Creek (Florida), ISSN 0749-0208.

Terrestrial water cycle refers to the circulation of water on Earth from evapotranspiration (E) to precipitation (P). The water cycle can vary spatially as it is influenced by both climate and human activities. In this study, we examined the effects of different land-use conversion processes on water cycle dynamics in the Jing-Jin-Ji region of China from 2000 to 2015. To isolate the influence of individual factors on water cycle dynamics, we used ΔE+ΔP as an index, where positive values indicated an acceleration of the water cycle, and negative values indicated a deceleration. The contributions of land-cover change were isolated using the trajectory method. There were eight water cycle dynamics patterns—four accelerations and four decelerations—affecting 99.59% of the total study area. Increased evapotranspiration and decreased precipitation were the major water cycle processes, affecting 70.03% of the total study area. Differences in land cover resulted in both positive and negative water cycle dynamics depending on the land transformation over the study period. Urbanization weakened the water cycle, and the earlier that it occurred, the more obvious the weakening effect. For other land-cover conversions, cropland displayed heterogeneity by both weakening and accelerating the water cycle. This study provides insights into water cycle dynamics for water resource managers in varying environments.