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Tao, C.; Liu, S.; Tian, Y.; Gu X. and Cheng, B., 2019. Effects of China's OFDI on Exports: A Context Analysis with the "21st-Century Maritime Silk Road" Regions. In: Gong, D.; Zhu, H. and Liu, R. (eds.), Selected Topics in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 94, pp. 903–907. Coconut Creek (Florida), ISSN 0749-0208. With the implementation of the Belt and Road initiative, China will invest more in countries in the "21st-Century Maritime Silk Road" Regions. Using the data of the 63 countries along "the Silk Road Economic Belt and the 21st-Century Maritime Silk Road" from 2004 to 2015, this paper empirically analyzes the effect of Chinese outward direct investment on export in "the Silk Road Economic Belt and the 21st-Century Maritime Silk Road" area. The results reveal that the relationship between Chinese OFDI and export towards the host country is changeable and demonstrates an inverted U shape. As a result, OFDI can make full use of the advantages of each country, realize optimal allocation of resources in the countries along "the Silk Road Economic Belt and the 21st-Century Maritime Silk Road", and enable the transfer of China's spare capacity. And it should be adopted as China's long-term initiative. [ABSTRACT FROM AUTHOR]

Wang, Y.; Cheng, B., and Qin, G., 2019. Analysis on industrial linkages and driving effects of Chinese fishery industry based on input-output model. In: Li, L.; Wan, X.; and Huang, X. (eds.), Recent Developments in Practices and Research on Coastal Regions: Transportation, Environment and Economy. Journal of Coastal Research, Special Issue No. 98, pp. 363–366. Coconut Creek (Florida), ISSN 0749-0208. Based on the national input-output (IO) tables from 2002, 2007, and 2012, this paper summarized the development of China's fishery industry and studied the industrial linkage and driving effects between the fishery industry and other sectors of the national economy. The results show that the output scale, gross domestic product, wages, and social welfare of China's fishery industry have all increased significantly, but the tax revenue and profits have decreased rapidly. The direct driving capacity, induced driving capacity, and total driving capacity of China's fishery industry all show a continuous downward trend, dropping from 1.1107, 4.8108, and 6.9478 to 1.0609, 3.4635, and 5.5293, respectively. The indirect driving capacity rises first and then declines, rising from 1.0263 to 1.1155 and then falling to 1.0049. The driving effect of China's fishery industry on other sectors is limited and shows a weakening trend. [ABSTRACT FROM AUTHOR]

Qin, G.; Zhang, S.; Liu, X., and Cheng, B., 2019. Analysis on factors driving growth in China's fishery industry, based on a noncompetitive input-output model. In: Li, L.; Wan, X.; and Huang, X. (eds.), Recent Developments in Practices and Research on Coastal Regions: Transportation, Environment and Economy. Journal of Coastal Research, Special Issue No. 98, pp. 367–370. Coconut Creek (Florida), ISSN 0749-0208. Based on the input-output (IO) table data from 2002 to 2012, a noncompetitive IO model was used to calculate the factors driving growth and change in the final demand of China's fishery industry. The results show that the intermediate input, initial input, consumption, capital formation, export, and other final demands of the fishery industry all showed significant growth, and the added value increased first and then decreased. The role of consumption is the most outstanding, capital formation is second, and export is lowest, with a contribution rate of 66.22%, 20.51%, and 11.31%, respectively. Compared with final demand, the contribution rates of intermediate input and increased rate of gross domestic product growth by fisheries are relatively small, with the contribution of the value-added rate of only 8.63%, and intermediate input structure's contribution to growth of 6.67%. From 2002 to 2007, consumption contributed the most at 48.88%, followed by export, with its contribution rate being up to 21.91%. From 2007 to 2012, consumption contributed the most at 76.68%, capital formation contributed 22.20%, and export contributed 7.21%. [ABSTRACT FROM AUTHOR]

Li, X.; Tian, Y.; Xu, C., and Cheng, B., 2019. The impact of marine pollution control on the output value of marine fisheries based on the spatial econometric model. In: Li, L.; Wan, X., and Huang, X. (eds.), Recent Developments in Practices and Research on Coastal Regions: Transportation, Environment and Economy. Journal of Coastal Research, Special Issue No. 98, pp. 381–384. Coconut Creek (Florida), ISSN 0749-0208. This study proposes that the input of marine environmental pollution control affects the output value of the marine fishery. Based on panel data from Marine Fisheries for China's coastal areas, model setting and data testing were performed. Through the spatial econometric model, the model results were estimated and analyzed and showed that the marine fishery economy in China is greatly affected by the total investment in environmental pollution control. Proper total investment in environmental pollution control will promote an increase in marine fishery output value, but with the change in the regional environment, excessive control of environmental pollution will also have a negative effect on the marine fishery output value. In addition, the number of people employed in the fishery labor force, the local per capita gross domestic product (GDP), and marine fishing productivity will have a significant positive effect on the fishery output in China. [ABSTRACT FROM AUTHOR]