The carrying capacity of marine and land resources is one of the indicators to measure the sustainable development level of coastal areas,reflecting the supporting capacity of the ecological environment for human acti...The carrying capacity of marine and land resources is one of the indicators to measure the sustainable development level of coastal areas,reflecting the supporting capacity of the ecological environment for human activities and the impact of human activities on the regional environment.This paper establishes an evaluation index system to determine the evaluation value of the carrying capacity of marine and land resources in China’s coastal areas,the evaluation index of marine and land resources supply capacity(economic and social development demand)subsystem,and the degree of coordinated development of the subsystems in 11 coastal areas from 2006 to 2017.The results showed that the average supply and demand capacity of the two subsystems in each region is not high;the average demand level of economic and social development is higher than the supply capacity of marine and land resources;the carrying capacity of marine and land resources is slightly overloaded in most areas;the collaborative development between the supply and demand subsystems is barely coordinated with moderate imbalance;most regions need to move in the direction of green development to ensure the supply capacity of marine and land resources.展开更多
Based on China’s real estate investment(REI), commercial housing sales(CHS), and GDP data from 2001 to 2020, we studied the dependence, asymmetry, and transmission direction of China’s real estate and economy. Their...Based on China’s real estate investment(REI), commercial housing sales(CHS), and GDP data from 2001 to 2020, we studied the dependence, asymmetry, and transmission direction of China’s real estate and economy. Their cross-correlation is demonstrated through the deep crosscorrelation analysis(DCCA) algorithm, multifractal asymmetric detrended cross-correlation analysis(MF-ADCCA) algorithm and DCCA algorithm based on a time delay. Both REI and CHS have persistence with GDP. The real estate industry and economy have asymmetric multifractal characteristics.Meanwhile, real estate and the economy have different trends, and they can affect each other with the same length of time delay. This effect diminishes in a short period of time, and there are unsteady fluctuations in cross-correlation persistence in the long term.展开更多
基金Postdoctoral Research Foundation of Chaoyang District(Q1011019202101)Beijing Postdoctoral Research Foundation(Q6011019202101).
文摘The carrying capacity of marine and land resources is one of the indicators to measure the sustainable development level of coastal areas,reflecting the supporting capacity of the ecological environment for human activities and the impact of human activities on the regional environment.This paper establishes an evaluation index system to determine the evaluation value of the carrying capacity of marine and land resources in China’s coastal areas,the evaluation index of marine and land resources supply capacity(economic and social development demand)subsystem,and the degree of coordinated development of the subsystems in 11 coastal areas from 2006 to 2017.The results showed that the average supply and demand capacity of the two subsystems in each region is not high;the average demand level of economic and social development is higher than the supply capacity of marine and land resources;the carrying capacity of marine and land resources is slightly overloaded in most areas;the collaborative development between the supply and demand subsystems is barely coordinated with moderate imbalance;most regions need to move in the direction of green development to ensure the supply capacity of marine and land resources.
基金Supported by Postdoctoral Research Foundation of Chaoyang District (Q1011019202101)Beijing Postdoctoral Research Foundation (Q6011019202101)Special Project for Soft Science Research of Hebei Provincial Science and Technology Plan (215576107D)。
文摘Based on China’s real estate investment(REI), commercial housing sales(CHS), and GDP data from 2001 to 2020, we studied the dependence, asymmetry, and transmission direction of China’s real estate and economy. Their cross-correlation is demonstrated through the deep crosscorrelation analysis(DCCA) algorithm, multifractal asymmetric detrended cross-correlation analysis(MF-ADCCA) algorithm and DCCA algorithm based on a time delay. Both REI and CHS have persistence with GDP. The real estate industry and economy have asymmetric multifractal characteristics.Meanwhile, real estate and the economy have different trends, and they can affect each other with the same length of time delay. This effect diminishes in a short period of time, and there are unsteady fluctuations in cross-correlation persistence in the long term.
