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In the social context at that time, Internet technology rose rapidly and the e-commerce industry flourished. This not only changed people's consumption habits, but also had an impact on traditional commercial real estate. Many physical stores faced the pressure of online competition, and the demand for commercial real estate declined, which indirectly affected the housing prices in related areas.
Emerging big data technologies provide more accurate tools for economic analysis and market forecasting. By analyzing a large amount of economic data, it is possible to more accurately judge the economic and real estate market trends. Investors and developers can make more rational choices based on these data when making decisions, thereby affecting the fluctuation of housing prices.
The development of artificial intelligence technology has promoted the intelligent upgrading of the manufacturing industry. Some traditional manufacturing companies are facing transformation pressure, and the adjustment of industrial layout has also affected the economic structure and employment structure of the city to a certain extent. This may lead to changes in population mobility and housing demand in some areas, which in turn will affect housing prices.
In addition, the emerging mobile payment technology makes financial transactions more convenient and efficient. This promotes financial innovation and broadens the financing channels for real estate companies. But at the same time, it also increases the risks in the financial market, which may lead to the instability of the capital chain in the real estate market, thereby indirectly affecting housing prices.
To sum up, although emerging technologies do not directly determine the rise and fall of housing prices, they indirectly affect the housing price trend in first-tier cities in the first half of 2014 through their profound impact on multiple fields such as economy, industry and finance.
