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1 |
Evaluating the value of an entrepreneurial city with a spatial hedonic approach: A case study of London
ارزیابی ارزش یک شهر کارآفرین با رویکرد لذت جوی فضایی: مطالعه موردی لندن-2020 This study assesses the value of a city by using the housing price function with a geographically weighted
regression model, including various social, economic, and environmental factors. To assess these values, various
specific data scores—such as those related to ethnic groups, green areas, crime rates, education, unemployment
rates, number of entrepreneurs, and environmental quality—were considered in a case study of London. The
results indicate that some variables such as time to city center and entrepreneurship have a positive impact on
the local areas’ value in London, as shown by housing prices, while those related to unemployment have a
negative impact. Moreover, although the London city center has benefitted more in terms of value than its
outskirts have, a few specific policies related to startups and entrepreneurship have succeeded in connecting
these areas to existing companies and entrepreneurs. In general, large cities may be better equipped to promote
such startup and entrepreneurship policies under local industry plans for future development. Keywords: Entrepreneurship | Land price function | Spatial hedonic approach | London |
مقاله انگلیسی |
2 |
Relationship among land price, entrepreneurship, the environment, economics, and social factors in the value assessment of Japanese cities
رابطه قیمت زمین ، کارآفرینی ، محیط زیست ، اقتصاد و عوامل اجتماعی در ارزیابی ارزش شهرهای ژاپن-2019 Assessing the value of local areas and cities, including examining the entrepreneurial, environmental,
economic, and social dimensions of sustainability, has become key to fostering development. Such assessments
can be conducted using a land-price function. This study analysed the land-price function
using a geographically weighted regression model of land price, and explanatory variables related to
entrepreneurial, environmental, economic, and social factors. To consider these factors, specific data
scores were taken into account. A correlation analysis showed that six variables are essential for future
value analyses: these are entrepreneurship, nature conservation, resource recycling, social vitality, the
local governments financial viability, and environmental quality. Using these six variables to conduct
preliminary regression analyses via four models, the study found that entrepreneurship, social vitality,
and environmental quality have a positive impact on land prices in local areas and cities, while nature
conservation, resource recycling, and the local governments financial viability have a negative impact.
The result of a geographically weighted regression analysis showed that the areas around large cities in
Japan have benefitted more from entrepreneurship and social vitality than have the areas around small
and mid-sized cities. While large cities may be better equipped to promote environmental policies, small
and mid-sized cities could promote entrepreneurship and social vitality policies using their environmental
advantages Keywords: Entrepreneurship | Environment | Economy | Society | Land-price function | Geographically weighted regression model |
مقاله انگلیسی |