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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.

China's urbanization is a traditional development way of high energy consumption, low efficiency and extensive type. The resulting ecological environment damage and other problems seriously restrict the healthy and sustainable development of the city. Based on this, aiming at the complexity of the system, the multi-objective classification matrix method of fuzzy decision was selected, and the life cycle assessment model of the urban innovation ecosystem under the background of new urbanization in China was constructed. The research on the innovative ecological system planning of a heavy industrial city was carried out, and the wall was greening in the top space of the building. In the town planning, wind energy, solar power system, green corridor and ground floor were designed. Practice has proved that introducing innovative ecosystem into urbanization has played an important role in purifying urban air, increasing urban greening, improving energy structure and air pollution.

Every country concerns itself to some extent with the efficient and equitable distribution of goods to its people. In order to unravel the logistics of physical distribution in China, it is critical to understand the political and economic context in which it is carried out. The policy of capitalist or mixed economy countries is to let manufacturers, wholesalers and retailers compete to provide the goods at the time, place and price desired by the customer. As a rule, neither government policy nor the distribution process is set up to ensure that people will get the particular goods for a set price or at a given location. Prices are a function of the relative power held by consumers, distribution channels and producers. Location is a function of customer demand. It is assumed that the discipline of the marketplace will keep the system operating with reasonable efficiency.

Because natural resource utilization is a predictor of sustainable development, an evaluation of the efficiency of resource utilization is critical for assessing developmental potentiality. The purpose of this paper is to apply three-dimensional (3D) ecological footprint theory to assess the effects of production and consumption on ecological systems in Hefei, China.

Using data for Hefei for the period 2005-2014, an ecological footprint model (EFM) was developed to calculate the area’s ecological footprint (EF), ecological carrying (EC) capacity and obtain two indices, namely, footprint depth and size. The relationship between economic development and natural resource utilization was subsequently evaluated based on the calculated ecological deficit and the EF demand per Renminbi 10,000 of gross domestic product (GDP).

Over the last decade, Hefei’s EF per capita evidenced a 9.87 percent growth rate, increasing from 1.16 hm²/person in 2005 to 2.70 hm²/person in 2014. EC capacity per capita increased from 0.21 hm²/person in 2005 to 0.36 hm²/person in 2014, evidencing a gradually increasing trend at an average annual growth rate of 6.24 percent. Thus, between 2005 and 2014, the ecological deficit increased annually by three times. The amplification of footprint depth significantly exceeded that of footprint size. Between 2005 and 2014, Hefei’s EF per capita Renminbi 10,000 of GDP decreased annually by 4.68 percent. Thus, energy consumption in Hefei exceeded the natural regeneration capacity of energy resources, with excessive development and resource utilization impacting on the regional ecological system.

The application of a 3D EFM sheds light on natural resource utilization within regional development. Moreover, footprint depth and size are significant predictors of the impacts of natural resource utilization. These findings will also benefit other countries or cities.

This is one of the first empirical studies to apply a 3D EFM to evaluate the relationship between natural resource utilization and economic development. Adopting a sustainable development framework, it provides insights into the effects of natural resource utilization in relation to the balance between the natural ecological system and economic development. This has far-reaching implications beyond Hefei and China.

The rapid advancement of digital transformation requires a shift in firms’ focus from past met needs to both latent future and unmet past needs. However, how boundary-spanning search with future orientation and past orientation affects breakthrough innovation remains unclear. This study thus aims to investigate the relationship between boundary-spanning search and breakthrough innovation from the perspective of search orientation.

In terms of search orientation, this study divides boundary-spanning search into forward-looking search and backward-looking search. Drawing on resource-based view, this study develops a theoretical model in which big data analytics capability moderates the effects of forward-looking and backward-looking searches on breakthrough innovation. Empirical analyses were conducted on data from China’s advanced manufacturing firms. Research model and hypotheses were tested through multiple regression.

The results confirm that forward-looking search has a positive effect on breakthrough innovation, and big data analytics capability strengthens this positive effect. Furthermore, backward-looking search has an inverted U-shaped effect on breakthrough innovation. Interestingly, as big data analytics capability increases, this inverted U-shaped curve flattens and becomes almost linear.

This study uncovers the different effects of boundary-spanning search with different orientations on breakthrough innovation and extends the research on the relationship between boundary-spanning search and breakthrough innovation by incorporating search orientation. Furthermore, by demonstrating the moderating role of big data analytics capability, this study provides a crucial condition under which boundary-spanning search can enhance breakthrough innovation.

Australia’s Future Tax System (2009) among its recommendations identified the need for realignment of tax revenue across the tiers of government in Australia, as well as the need to raise additional revenue from land-based taxes. In achieving these objectives, this paper aims to examine the revenues generated from land and how capital gains tax may be reconceptualised as a value capture tax resulting from the rapid urbanisation of Australia’s cities. The development of a theoretical framework realigns the emerging rationale of a value capture tax, as a means for revenue to be divested from central government in the form of capital gains, to sub-central government as a value capture tax.

A qualitative research methodology comprising grounded theory and phenomenological research is used in undertaking the review of tax revenue collection from state land tax, conveyance stamp duty, local government rating and Commonwealth capital gains tax. Grounded theory is applied for constant comparison of the data with the objectives of maximising similarities and differences in these revenues with an analytical construct as defined by Strauss and Corbin (1990, p. 61).

The paper finds that realigning revenue from land-based taxes against the principles of good tax design provides greater opportunity to raise additional revenue to fund public infrastructure while decentralising revenue from central government. It provides an alternate mechanism for revenue transfer from central to sub-central government while conceptually improving own source revenue from value capture taxation as a new revenue source.

The limitation of this paper is the ability to quantify the potential increase that would be generated in the form of value capture revenue. It is demonstrated in the paper that capital gains tax took over 15 years for revenue generation to crystallise, a factor that would likely occur in the potential introduction of a value capture tax for funding transport infrastructure.

The pathway to introducing a value capture tax is through re-innovating capital gains tax as a value capture tax directly hypothecated to funding transport infrastructure that results in the uplift in values of the surrounding property from which revenue is raised.

This paper provides a new approach in contributing to funding the capital outlay of public infrastructure in lieu of central government consolidated revenue allocated through the Commonwealth Grants Commission. It provides a much-needed approach to decentralising revenue from the Commonwealth to sub-central government in Australia which has one of the most centralised tax systems in the OECD.

To perform well in the risky and competitive international construction markets, foreign investors need to fully understand project delivery process in their targeted overseas markets. Singapore, Beijing, Hong Kong and Sydney were selected to be studied in this paper. The aim of this paper is to provide a comparative analysis of the funding source, organization, regulations, approval process, procurement method, and bid evaluation procedure of public projects in four cities. It also investigated the performance outcomes of public projects in these cities.

The research method was a multi‐city structured questionnaire survey conducted in Singapore, Hong Kong, Beijing and Sydney. Data were collected from respondents who have been involved in public construction projects. The data collection methods include email and postal surveys and face‐to‐face interviews.

It was found that Beijing has the largest market of public construction projects among the four cities, and has the most indistinct and complicated project process. The majority of the public clients in the four cities have on‐going projects, suggesting a good level of construction sophistication. Traditional design‐bid‐build delivery method is the most frequently used in Beijing, Hong Kong and Singapore. Most of the respondents in Hong Kong, Sydney and Singapore were satisfied with the project quality and service quality. About 60 percent of the project samples in the four cities experienced budget overrun and schedule delay.

The study adds to knowledge by providing information on procurement of public construction projects in four cities. The findings may inform foreign enterprises that are planning to enter these markets on the ways to deal with public construction projects there. Foreign enterprises that plan to venture other parts of the world may consider the factors identified in this study to evaluate the projects there.

This paper seeks to address issues of sustainability in the rapid urbanization in China with examination of knowledge management factors in the creation of new Chinese cities.

A case study was undertaken at Zhengdong New District along with semi‐structured interview mixed with evaluation and content analyses of successful knowledge management factors as the analytical approach.

This study explores the ongoing revolution of building new cities and towns in China, and highlights the importance of knowledge‐based development in achieving sustainable development. Following the establishment of the theory and model of the knowledge city, it explores the features of knowledge city in practice. Focusing on the case study of Zhengdong New District, Zhengzhou, Henan Province, it examines the factors of knowledge management in the creation of the new city. However, it is believed that the strategic development plan was made following the principles of sustainability. Furthermore, it has been accepted that the strategic plan reflexes the framework and sustains various features of the knowledge city, which could be seen as the embryo of knowledge city in China. In the meantime, it has to be recognised that the outcome of the evaluation of Zhengdong New District, which has been discussed in this paper, is merely the audit of what is currently happening in the first phase of the project and reflexes the current issues, and might give impact to the implementation of municipal government strategy in the future.

This paper concludes that, while the local authority is endeavouring to build a physically modern city, it might have overlooked the importance of using knowledge management principles as a tool to promote social, cultural, and environmental sustainability. Yet the analysis in this paper demonstrates that it is not impossible to use knowledge management framework as a tool to assist policy makers governing the creation of a new city in a sustainable way. The discussion in this paper is expected to be thought‐provoking in a holistic understanding of the theoretical perspective of knowledge city and further research into this field in the Chinese context.

Land transactions are a key indicator of urban sustainable development and urban space expansion. Therefore, this paper aims to study the spatial correlation of different types of land transactions.

Based on the big data of land micro transactions in Yangtze River Delta urban agglomeration, this paper uses the generalized forecast error variance decomposition (GFEVD) method to measure the correlation level of urban land markets. Also, social network analysis (SNA) is used to describe spatial correlation network characteristics of an urban agglomeration land market. In the meantime, the factors that influence the spatial correlation of urban land markets are investigated through a quadratic assignment procedure (QAP).

The price growth rate of urban residential land was higher than that of industrial land and commercial land. The spatial relevance of urban residential land is the highest, while the spatial relevance of the urban commercial land market is the lowest. The urban industrial land market, commercial land market and residential land market all present a typical network structure. Population distance (POD) and Engel coefficient distance (EGD) are negatively correlated with the correlation degree of the urban residential land network; traffic distance (TRD) and economic distance (ECD) are negatively correlated with the correlation degree of the urban industrial land network and commercial land network.

This paper uses a systematically-integrated series of problem-solving models to better explain the development path of urban land markets and to realize the integration of the interdisciplinary methods of geography, statistics and big data analysis.