The excessive expansion of road transportation often has an impact on the quality of regional habitats. This paper attempts to assess the impact of road transportation on regional habitat quality in economically developed areas. A kernel density analysis was used to characterise the road transportation development in Jiangsu Province from 2000 to 2015. An Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) habitat quality model was applied to assess changes in habitat quality. Furthermore, a fixed-effect regression model was utilised to examine the impact of road transportation development in Jiangsu Province on habitat quality. The analysis indicates that the average kernel density of road transportation in the province increased from 0.109 to 0.551 km/km 2 while the habitat quality decreased from 0.51 to 0.48. The development of road transportationin Jiangsu Province has had a serious negative impact on the quality of the habitat. For every 1-ha increase in land area for road use, the habitat quality index will decrease by 0.066; for every 1 km/km 2 increase in road transportation kernel density, the habitat quality index will decline by 0.121.
Research Contents: This paper analyzes the influence of regulatory policies of Shanghai real estate on the price of new houses in Shanghai from June of 2013 to December of 2017 by building VAR model and evaluates the effectiveness of regulatory policies. The policy of property purchase restrictions inhibits the rapid increase of house price in a short time, but does so little in a long time. Credit policy can affect house price in a timely and rapid manner. Monetary policy can have a far-reaching influence. House supply in the future and the change of current house price index have some bearing on psychological expectation of consumers. Shanghai municipal government should attach more importance to the establishment of long-term mechanism and guarantee the effectiveness of policies when regulating real estate market and inhibiting the rapid increase of house price.
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