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The relationship between urbanization and economic development has become a hot topic in the scientific community due to its great practical significance, and economic and social value. However, this relationship continues to change dynamically. In the new stage of urbanization, it is urgent to reveal the causal relationship quantitatively and diagnose the future direction systematically. Based on this, this paper calculates the contribution rate of China's urbanization to economic development from 1978 to 2019 and uses the panel data cointegration test method to explore the causal relationship between urbanization and economic development in China. The study has three principal results. First, the contribution rate of urbanization to economic growth has maintained the overall growth trend from 1978 to 2019, but the growth rate of urbanization's contribution to economic growth has been relatively low since 2012. It is an important reason that the real estate sector has moved into a new stage of transformation. Second, the cointegration test shows that economic development is a significant factor in advancing urbanization and the urbanization is the product of economic development. Urbanization has a positive feedback effect on economic development, but this effect does not pass the 5% significance level test. The impulse response function shows that the impact of urbanization on economic development is relatively small and stable, indicating that it is limited that the boost of economic development by land-centered urbanization. Third, China's urbanization and economic development have both shown rapid growth for some time, but their relationship is still the low level of coordination, which has also led to a downward trend in the contribution of new-type, people-oriented urbanization to economic growth in recent years. In the future, China's urbanization and economy need to maintain relatively medium-low speed growth in the medium-long term, and we should boost the coordinated development of urbanization and economy from low level to high level. [ABSTRACT FROM AUTHOR]

The reliable optimization of multilevel urban distribution network research helps to adapt to the changeable demand. It also can guarantee service ability of urban distribution network, so as to promote the economic development. Using the method of fuzzy reliability, series system reliability, failure rate, relative failure rate and failure function, the paper aimed at defining the key factors, the measure model and the measurement method of the reliability of urban distribution network clearly. Then, with the simulated data, the analysis of measurement model process and the application method are presented. The method can clear the level of the reliability and the weaker aspect of the urban distribution network which can provide the basis for improving the whole reliability. The paper sets up the measure model for the reliability of two-layer urban distribution network and then verify the validity of the methods. Bayesian network analysis is used to examine the influence of each factor on the reliability of the system, and the importance of each influencing factor is calculated. [ABSTRACT FROM AUTHOR]

The rapid urbanization in China has been associated with a growing hunger for energy consumption and steadily-increasing CO2 emissions. In this paper, an integrated system dynamics model composed of four sub-models is developed to simulate the urbanization and energy consumption in China from 1998 to 2050. Three scenarios are provided: accelerated economic development, emission reduction constraint, and low-carbon oriented. The result reveals that rapid economic growth and sufficient energy supply will foster China's urbanization in all three scenarios. Under the low carbon transition scenario, China's urbanization rate is expected to reach 76.41% in 2050, both reducing carbon emissions and promoting eco-friendly development. All three scenarios witness a dramatic growth of residential energy consumption and a steady increase of industrial energy consumption. China still has a long way to achieve the low-carbon transition goal. China should promote renewable resources and energy, pursue a low-carbon lifestyle, and reduce energy intensity over the next few decades. [ABSTRACT FROM AUTHOR]

The Northwest Pearl River Delta is one of the most developed areas in China and has faced serious water problems because of its fast economic growth, urbanisation and other developments. It is widely believed that an integrated management of the socio-economic factors cross individual administrative cities is an effective way to solve the water problems. To serve this purpose, this paper aims to develop an integrated model for the optimal allocation of water quantity and waste load. In order to consider the interaction between water quantity and waste load allocation, the Saint-Venant equations were used to simulate dynamic water flow for the water quantity allocation, whereas the one dimensional advection-dispersion mass transport equation was used to simulate water quality for the waste load allocation. In addition to the maximisation of the economic benefits, which is often considered as an objective of optimal water resource allocation models, the minimisation of water shortages and maximisation of waste load were also introduced as objectives of the model. To solve the multi-objective allocation model, a second generation non-dominated sorting genetic algorithm was employed because of its computational efficiency and running time. The results indicate that it is a serious task to reduce the COD in the Northwest Pearl River Delta since the maximum waste load allocations under water quality targets is less than the present amount of waste discharged into rivers in the study area. [ABSTRACT FROM AUTHOR]

Due to rapid economic development, China has experienced one of the greatest rates of change in land use/land cover during the last two decades. This change is mainly urban expansion and cultivated land reduction in urban growth regions, both of which play an important role in regional climate change. In this paper, the variation of the urban heat island (UHI) caused by urbanization has been evaluated with an analysis of land use change in China. First, meteorological observation stations were grouped by different land cover types (dry land, paddy field, forest, grassland, water field, urban, rural inhabitable area, industrial and mineral land, and waste land) throughout China. These stations were subdivided into urban and non-urban classes. Then, a new method was proposed to determine the UHI intensity from the difference between the observed and the interpolated air temperature of urban type weather stations. The results indicate that the trends of UHI intensity in different land use change regions are spatially correlated with regional land use and its change pattern. During 1991–2000, the estimated UHI intensity has increased by 0.11 °C per decade in the spring and has fluctuated in other seasons throughout China resulting from land use change. [ABSTRACT FROM AUTHOR]