The insurance industry has gained remarkable and initial results in the industrial standardization over the past eight years, played a positive role in promoting the industry informatization and standardizing the busi...The insurance industry has gained remarkable and initial results in the industrial standardization over the past eight years, played a positive role in promoting the industry informatization and standardizing the business management, and made a contribution to the normalized, sustainable, healthy and rapid development of the industry. Meanwhile, the development of insm＇ance industry has put forward new requirements for the insurance standardization. It is essential to strategically match the industrial development and industry standardization, and grasp the developmental direction of insurance standardization, make sure that standardization work serves the reform and development of insurance industry, prevention and diffusion of insurance risks, and insurance informatization, and focus on the promotion, implementation and supervision of standards.展开更多
Forests are fundamental to maintaining ecological security and achieving regional sustainable development in China. Forest land change can result in many ecological problems including soil erosion, water shortages dro...Forests are fundamental to maintaining ecological security and achieving regional sustainable development in China. Forest land change can result in many ecological problems including soil erosion, water shortages drought and biodiversity loss. Based on landscape ecology and logistic regression we explored the spatiotemporal patterns and factors affecting forest land changes from 1985 to 2000 in the Beijing-Tianjin-Hebei Region of China. The results show decreased local fragmentation of woodland landscapes and that the shapes of forest patches have become more regular. For forest land cover change, soil organic matter content, slope type I （〈5°）, distance to the nearest village and per capita GDP were the most important independent variables from 1985 to 2000. This study indicates that spatial heterogeneity can affect the predictability of logistic regression models for forest land change.展开更多
文摘The insurance industry has gained remarkable and initial results in the industrial standardization over the past eight years, played a positive role in promoting the industry informatization and standardizing the business management, and made a contribution to the normalized, sustainable, healthy and rapid development of the industry. Meanwhile, the development of insm＇ance industry has put forward new requirements for the insurance standardization. It is essential to strategically match the industrial development and industry standardization, and grasp the developmental direction of insurance standardization, make sure that standardization work serves the reform and development of insurance industry, prevention and diffusion of insurance risks, and insurance informatization, and focus on the promotion, implementation and supervision of standards.
基金National Natural Science Foundation of China(41361111)the Natural Science Foundation of Jiangxi Province(20143ACB21023)+2 种基金the Fok Ying Tung Foundation(141084)the Technology Foundation of Jiangxi,Education Department of China(KJLD14033)the Key project of Social Science Foundation of Jiangxi Province(15ZQZD10)
文摘Forests are fundamental to maintaining ecological security and achieving regional sustainable development in China. Forest land change can result in many ecological problems including soil erosion, water shortages drought and biodiversity loss. Based on landscape ecology and logistic regression we explored the spatiotemporal patterns and factors affecting forest land changes from 1985 to 2000 in the Beijing-Tianjin-Hebei Region of China. The results show decreased local fragmentation of woodland landscapes and that the shapes of forest patches have become more regular. For forest land cover change, soil organic matter content, slope type I （〈5°）, distance to the nearest village and per capita GDP were the most important independent variables from 1985 to 2000. This study indicates that spatial heterogeneity can affect the predictability of logistic regression models for forest land change.
