Abstract
Since the financial crisis in 2008, innovation has gradually become the orientation of global economic development and the strategic choice for China’s urban development. With the transformation of the urban development mode from factor-driven and capital-driven to innovation-driven, many innovation spaces have begun to emerge in cities, which attract academic attention. A large number of studies on the relation between innovation activities and geographic space mainly focus on the phenomena at the regional level, and the city is only regarded as a target of innovation activities agglomeration. The study on the distribution of innovation space within the city is insufficient. In particular, there is a lack of studies on the spatial-temporal evolution of urban innovation space distribution. However, the study on the spatial-temporal evolution characteristics of urban innovation space distribution can provide planning countermeasures for the construction of innovative cities in China. Taking Nanjing as an empirical area, the spatial-temporal evolution of urban innovation space distribution was studied through methods such as average nearest neighbor, standard deviational ellipse, kernel density estimation, and exploratory spatial data analysis based on the data of high-tech enterprises identified from 2008 to 2019. The results showed the following: (1) the distribution of urban innovation space has significant spatial agglomeration characteristics, and the degree of agglomeration continued to rise; (2) regardless of the macro- or microperspective, the distribution of urban innovation space has shown the characteristic of diffusion at the initial, but the trend of polarization in recent years is significant; and (3) the distribution of urban innovation space exhibited diverse agglomeration modes and evolution trends in different regions, and it can be divided into three categories: grouped, banded, and scattered.
Highlights
The world’s economic structure is rapidly transforming from an industrial economy to a knowledge economy
New urban spaces are inevitably required for the innovationdriven urban development pattern [2]. e most significant spatial change is the growth of innovation spaces in the city
To explore the spatial-temporal evolution characteristics of the urban innovation space distribution in Nanjing more comprehensively, the high-tech enterprises identified in Nanjing from 2008 to 2019 were analyzed through methods such as average nearest neighbor, standard deviational ellipse, kernel density estimation, and exploratory spatial data analysis: (1) Average nearest neighbor (ANN)
Summary
The world’s economic structure is rapidly transforming from an industrial economy to a knowledge economy. Innovation has become a key factor for the growth of the global knowledge economy and enhanced importance in local industrial development [1]. Since the financial crisis in 2008, with the profound reorganization that has occurred in the world’s political and economic pattern, all economic powers have paid high attention to innovation-driven development. After more than 40 years of reform and openingup, China’s economy has transformed from rapid development to a new stage of high-quality development, and the urban development mode began to transform from factordriven and capital-driven to innovation-driven. E most significant spatial change is the growth of innovation spaces in the city. In this context, study on the urban innovation space and its planning practices has become an important topic
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