Evaluation Method and Empirical Study of Regional Collaborative Sustainable Development under Environmental Regulation

16-20According to the “pollution haven hypothesis”, polluting industries may shift from developed areas to underdeveloped areas, which may lead to an unbalanced environmental regulation effect in a region consisting of several provinces. This means that the environmental regulation in various provinces will have on impact on regional collaborative sustainable development (RCSD). Therefore, this paper adds environmental regulation to the RCSD evaluation system, adopts a combination of TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) and grey relational analysis, establishes a distance collaborative model, and uses the empirical data of the Beijing–Tianjin–Hebei region (BTH region) from 2007 to 2016, evaluate the RCSD under environmental regulation. The evaluation results show that the development levels in Beijing, Tianjin, and Hebei are quite different and that there is a feature of unbalanced development; From 2007 to 2016, the level of comprehensive synergy development in the BTH region is at a steady rising stage, but the upward trend is not obvious and there is little change

An analysis of coupling coordination relationship between regional economy and transportation: empirical evidence from China

The increasing discrepancy between a regional economy and transportation imposes higher requirements for their coordinated development. This paper utilized the coupling coordination degree (CCD) model and entropy method (EM) to quantitatively study the coupling coordination state between regional economy and transportation and its spatial distribution of 30 provinces in China from 2004 to 2017. The results show the following: (1) The comprehensive level of regional economy and transportation development in China has shown a growing trend, and the development of regional economy is faster than that of the transportation. (2) The CCD between regional economy and transportation in China is changing from incoordination to high-level coordination. The imbalance of CCD levels among the regions studied varies significantly. The CCD in the eastern regions is slightly higher than that in the central, western, and northeast regions. (3) In the region with a higher CCD, the discrepancy between the development of regional economy and transportation is higher than that in other regions. Moreover, suggestions are provided to promote the coordinated development from a regional perspective. This study provides references to policymakers to help them properly plan and design transportation systems while considering the regional economy, thus stimulating the coordinated and sustainable development between regional economy and transportation

Energy Consumption and Carbon Emissions: Analysis and Prediction-The Case of Hebei Province in China

AbstractFrom the time of reform and opening up, China's rapid economic growth attracts worldwide attention, which also brings the accompanying problems that high energy consumption, high pollution and high emission are more prominent. Therefore, the low carbon economy development model has become an inevitable choice for China's sustainable economic development. However, the stage of economic development is insurmountable and the continuing growth and the disadvantaging structure of energy consumption will become a serious obstacle for China's low-carbon economy. Selecting the relevant data from 1980 to 2009, and using not only Hebei Province as its study area but also the whole country as its reference region, this paper analyzes the relationship between the changes in energy consumption structure and the carbon emissions in Hebei Province, and basing on which predicts the energy consumption and carbon emissions in the future in order to provide policy recommendations for the optimization of energy consumption structure, the upgrade of industrial structure, and the development of carbon econom

The comprehensive environmental efficiency of socioeconomic sectors in China: An analysis based on a non-separable bad output SBM

The increasingly high frequency of heavy air pollution in most regions of China signals the urgent need for the transition to an environmentally friendly production performance by socioeconomic sectors for the sake of people's health and sustainable development. Focusing on CO2 and major air pollutants, this paper presents a comprehensive environmental efficiency index based on evaluating the environmental efficiency of major socioeconomic sectors, including agriculture, power, industry, residential and transportation, at the province level in China in 2010 based on a slack-based measure DEA model with non-separable bad output and weights determined by the coefficient of variation method. In terms of the environment, 5, 16, 6, 7 and 4 provinces operated along the production frontier for the agricultural, power, industrial, residential and transportation sectors, respectively, in China in 2010, whereas Shanxi, Heilongjiang, Ningxia, Hubei and Yunnan showed lowest efficiency correspondingly. The comprehensive environmental efficiency index varied from 0.3863 to 0.9261 for 30 provinces in China, with a nationwide average of 0.6383 in 2010; Shanghai ranked at the top, and Shanxi was last. Regional disparities in environmental efficiency were identified. A more detailed inefficiency decomposition and benchmarking analysis provided insight for understanding the source of comprehensive environmental inefficiency and, more specifically, the reduction potential for CO2 and air pollutants. Some specific research and policy implications were uncovered from this work

The Role of big Data in Regional Low-Carbon management: A Case in China

Low-carbon management is an important area of urban study and city management, and it is a critical element of the modern city system. Even though the importance of low-carbon management has been recognized, low-carbon problems are still salient and even worse than ever before in some developing countries, like China. Nowadays, big data techniques may change this dilemma in the regulatory process and innovation of social governance. However, few studies have been conducted to examine the role of big data in regional low-carbon management, especially in developing countries. In this study, by drawing on the experience of other countries and using “big data” methods, we have developed an approach of using a big data model to improve low-carbon management in Beijing (the capital of P.R. China), and we have proposed some policy suggestions

THE CHINESE ARE COMING – AN ANALYSIS OF THE PREFERENCES OF CHINESE HOLIDAY MAKERS AT HOME AND ABROAD

We analyse the destination choice of Chinese tourists in China and abroad. Abroad, Chinese tourists prefer to travel to large and rich countries, and are little deterred by distance. Climate, coast, culture and political stability are irrelevant. Chinese tourists travel disproportionally to “approved destinations”, but this is being eroded as more countries acquire this status. The model predicts that Southeast Asian countries are harmed most by the extension of the ADS system, while North America suffers most from being excluded. Domestically, Chinese tourists prefer rich and densely population areas, but dislike cities. They value easy access by road and rail, and are attracted by nature. Cultural attractions are less important, and may even reduce tourist numbers. Although potential tourist numbers are large, tourist operators should not assume that Chinese tourists behave like other tourists.International tourism, domestic tourism, China, destination choice

China’s Energy Situation and Its Implications in the New Millennium

Many are interested in China’s energy situation, however, numerous energy related issues in China still remain unanswered. For example, what are the potential forces driving energy demand and supply? Previous reviews focused only on fossil fuel based energy and ignored other important elements including renewable and ‘clean’ energy sources. The work presented here is intended to fill this gap by bringing the research on fossil-based and renewable energy economic studies together and identifying the potential drivers behind both energy demand and supply to provide a complete picture of China’s energy situation in the new millennium. This will be of interest to anyone concerned with the development of China’s economy in general, and in particular with its energy economy.China China; Energy; Fossil fuels; Renewable Energy

Water Demand Forecast in the Baiyangdian Basin with the Extensive and Low-Carbon Economic Modes

The extensive and low-carbon economic modes were constructed on the basis of population, urbanization level, economic growth rate, industrial structure, industrial scale, and ecoenvironmental water requirement. The objective of this paper is to quantitatively analyze effects of these two economic modes on regional water demand. Productive and domestic water demands were both derived by their scale and quota. Ecological water calculation involves the water within stream, wetland, and cities and towns. Total water demand of the research region was obtained based on the above three aspects. The research method was applied in the Baiyangdian basin. Results showed that total water demand with the extensive economic mode would increase by 1.27 billion m3, 1.53 billion m3, and 2.16 billion m3 in 2015, 2020, and 2030, respectively, compared with that with low-carbon mode