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With the advancement of new-types of urbanization, our country needs to construct reasonable structures of the resource-based central city and sub-central city in the regions, to transform the mode of the development of the city, to achieve the coordinated and the sustainable in resources, to avoid the resources of waste and to build the green, low carbon, agglomeration and sustainable new towns. This paper does the analysis of SWOT by putting forward a specific example which establishes Handan as the central city and Wu’an and Feixiang act as the sub-central cities to explore the advantages of choosing resource-based city as a central city, which gives the support in theory and practice for realizing the winwin situation and maximization of interests in the regions.

This chapter examines issues of sustainability in regard to post-Soviet Central Asian urban centers via a case study of Bishkek, Kyrgyzstan. This urban center of approximately one million people is the largest in the Kyrgyz Republic, and one of the larger cities in Central Asia. Dubbed “the Tree City” during the Soviet Era, it, like other Central Asian population centers, occupies an oasis-like environment at the foot of a major mountain range, the Ala-Too Range of the Tian Shan (Mts.). This major mountain massif, which extends across the northern part of Central Asia and on into North-West China, has numerous peaks more than 4,000 m high and many glaciers. It is these snowfields that provide most of the water used by the city of Bishkek and its suburbs.

The findings represented herein are based on ethnographic field observations and interviews conducted in 2006–2007 and 2013–2014. A variety of documentary resources were accessed as well.

During Soviet times, Bishkek and its environs were the location of industrial complexes focused on the processing of minerals and agricultural produce, much of which was shipped to other republics within the USSR. Since the collapse of the Soviet Union, many of these industrial sites have fallen into disuse and disrepair. So, while Bishkek has numerous “socialist” planned parks, long-established green spaces, and a relatively large “urban forest” along major boulevards and thoroughfares, it is also dotted with abandoned factories, warehouses, and crumbling infrastructure. In parts of the city, and especially around its perimeter, urban fruit and vegetable gardens have reappeared, as many residents had to return to subsistence gardening to provide basic food needs for their households.

In the last decade, however, the local economy has begun to diversify and grow. This has brought more cars to the streets and a substantial number of new businesses and building projects, along with increasing amounts of air, water, and noise pollution. Concomitant with this new development has been the emergence of a nascent green movement, the establishment of environmental organizations, and a small but growing “green consciousness” as witnessed by the creation of new recycling programs, increased bicycle travel, and related activities pointing toward a more sustainable future.

In this chapter, the relative sustainability (social, cultural, economic, and ecological) of this Central Asian urban center are considered as it has emerged from its Soviet past to become the focal point of new enterprises, including a small but growing ecotourism industry. Bishkek, in common with other major cities of this region, which is far from the moderating influences of the sea, must adapt to the realities of what are likely to be increasingly severe climate change impacts – increased average annual temperatures, the rapid retreat of mountain glaciers and a reduction in the essential waters that they provide, and increasingly severe and numerous periods of drought. Whether or not Bishkek can successfully adapt to these changes and emerge as a more sustainable city remains to be seen.

The purpose of this paper is to explore the interplay of institutional quality and market potential factors on the agglomeration of foreign fast-food franchises in major cities in Central America.

The authors approached the research question through a regression analysis of the main fast-food chains operating in the 41 largest cities in Central America. The exploratory analysis in this paper attempted to discover the statistical relationship between institutional quality and market potential factors on the agglomeration of fast-food chains in specific cities. The paper also examined the spatial distribution of fast-food units in selected cities to try to discover specific patterns on the selection of specific locations within each city.

The findings of this paper suggest that population size and institutional quality in terms of regulatory efficiency were the two most significant predictors of fast-food chains agglomerations in selected Central American cities. The authors also found a negative interaction between market potential and institutional quality on agglomeration of fast-food restaurants, whereby a relatively weak institutional environment might deter investors, even if initially a market offers moderate potential. Finally, they found specific geographic patterns for the chosen locations of fast-food places that signal to a preference for urban locations with easy access to main thoroughfares, high commercial traffic and more affluence.

The small sample size was a major constraint. Moreover, population size as a measure of market potential was available for all cities, but other city-level indicators were only available for a small number of cities. The preliminary results aligned with the predictions in this paper, yet the generalizability of the findings of this paper is limited by the sampling and measurement issues noted above. Finally, the paper did not include all fast-food chains in the cities examined, and inclusion of more foreign and domestic chains should be considered in future studies.

Local governments should consider the factors that impact franchise chains’ decisions to enter a market and the specific locations in which they choose to locate their units. Improving the quality of local institutions could be instrumental in attracting investment.

Very few studies have focused on Central America as a recipient of investment by fast-food chains. The region is less than attractive in terms of both market potential and risk. Yet fast-food franchises have continued to grow over the past two decades, making the examination of their investment decisions worth studying. The inclusion of institutional quality at the city level is an additional contribution of this paper. This paper furthers our understanding of the factors that drive investment decisions of global franchisors in regions with low to medium market potential and medium to high levels of institutional risk.

The purpose of this paper is to analyse the impact of high-speed railway (HSR) on industrial pollution emissions using the data for 285 prefecture-level cities in China from 2004 to 2016.

The research method used in this paper is the multi-period difference-in-differences (DID) model, which is an effective policy effect assessment method. To further address the issue of endogeneity, the DID integrated with the propensity score matching (PSM-DID) approach is employed to eliminate the potential self-selection bias.

The results show that the HSR has significantly reduced industrial pollution emissions, which is validated by several robustness tests. Compared with peripheral cities, HSR exerts a greater impact on industrial pollution emissions in central cities. In addition, the mechanism test reveals that the optimised allocation of inter-city industries is an important channel for HSR to mitigate industrial pollution emissions, and this is closely related to the location of HSR stations.

Previous studies have paid more attention to evaluating the economic effects of HSR, however, most of these studies overlook its environmental effects. Consequently, the impact of HSR on industrial pollution emissions is led by using multi-period DID models in this paper, in which the environmental effects are measured. The results of this paper can provide a reference for the pollution reduction policies and also the coordinated development of economic growth and environmental quality.

At present, financial agglomeration tendency in domestic and foreign countries is increasingly evident. Therefore, from a comparative perspective, this paper aims to assess and predict the financial agglomeration degree in central five cities.

According to the diversity of evaluating indexes and the uncertainty of financial agglomeration, this paper constructs a set of indexes of evaluating the financial agglomeration degree, comprehensively evaluates the financial agglomeration degree of the five cities – Wuhan, Changsha, Zhengzhou, Nanchang and Hefei – in China's middle region from 2001 to 2010 by using the multiple dimension grey fuzzy decision-making model, and predicts their development tendency by using the GM (1, 1, β) model.

The results show that the multiple dimension grey fuzzy decision-making pattern cannot only be used to determine the weights of evaluating indexes, but also get the fuzzy partition and ranking order of the financial agglomeration in central five cities. The grey prediction results can objectively reflect the development tendency of the financial agglomeration in central five cities.

From the results, it is necessary for any competitive city to clarify their relative strengths and weaknesses in order for the accurate location and scientific development, and it also provides a reference for the government decision-making.

The paper succeeds in using the multiple dimension grey fuzzy decision-making model to measure the financial agglomeration degree of the five central cities and the grey prediction model to predict future trends.

In recent years, a great deal of work has emerged on eco-cities in China. Specifically, writers have discussed the role of the entrepreneurial state in the construction of eco-cities and have noted the role of these cities in the production of high-end real estate and new forms of capital accumulation and land acquisition. Whilst this chapter supports these arguments, we argue that the emergence of eco-cities in China is tied up with broader socioeconomic and cultural discourses and discourses of governance. We explore these ideas through a qualitative investigation of an eco-city known as the North Lake (Beihu) Ecological New Town (NLENT) located in the city of Jining, Shandong province. Specifically, this project, which involved the collection of documents, photographs and 20 semi-structured interviews, aims to understand the role that discourses of class, taste and consumption play in the fashioning of Chinese eco-cities. In exploring discourses of ‘green conduct’, this chapter also seeks to understand the role of eco-cities in the governmental fashioning of Chinese subjects and bodies. In this regard, this chapter suggests that whilst new forms of green development have played a part in urban expansion, new green real estate zones such as the NLENT have a powerful role to play in the construction and shaping of Chinese identity and behaviour.

This study aims to analyze the relevance of the city spatial structure for smart city innovation from the perspective of agglomeration externalities, and discusses whether there is heterogeneity in innovation across different geographical areas and population scales of cities.

The authors construct the centralization and concentration indexes to conceptualize the city spatial structure of 286 cities (prefecture-level) in China based on the LandScan Global Population Dataset from 2001 to 2016. A fixed-effects panel data model is employed to analyze the relationship between the spatial structure and the innovation ability of smart cities; the results were validated through robustness tests and heterogeneity analyses.

The study found that the more concentrated and more evenly the distribution of urban population, namely the more city spatial structure tends to be weak-monocentricity, the higher the level of innovation in smart cities. The relevance of the weak-monocentricity structure and smart city innovation varies significantly depending on their geographical location and the size of the city. This result is more applicable to cities in the eastern and central regions, as well as to cities with smaller populations.

The adjustment and optimization of the city spatial structure is important for enhancing smart city construction. Unlike previous studies, which mostly use a single dimension of “the proportion of population in sub-centres to the population of all central areas” to measure city spatial structure, the authors employed the spatial centralization and spatial concentration. It is hoped that this study can guide smart city construction from the perspective of the development model of city spatial structure.