The Experts below are selected from a list of 49299 Experts worldwide ranked by ideXlab platform
Boqiang Lin - One of the best experts on this subject based on the ideXlab platform.
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changes in urban air quality during Urbanization in china
Journal of Cleaner Production, 2018Co-Authors: Boqiang Lin, Junpeng ZhuAbstract:Abstract This paper primarily studies the air quality in China's cities during the Urbanization stage. Using a cross-sectional data of 282 cities, we discuss the influencing factors and the existence of the Kuznets Curve for three air pollutants based on the EKC (Environmental Kuznets Curve) theory and the BMA (Bayesian Model Average) method. The results show that the concentration of SO2 and PM10 presents the characteristics of an inverse-U shape. The Urbanization Process has a significant and negative effect on air pollutant concentration, which means that cities with higher Urbanization rate tends to have lower air pollutant concentration. Population density, possession of civil motor vehicles, the proportion of secondary industry, and annual average temperature are the main influencing factors of air pollution. Based on these results, this paper suggests that China should speed up the “new” type Urbanization Process, constantly optimize the industrial structure, and promote the harmonious development of the economy and environment.
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energy and carbon intensity in china during the Urbanization and industrialization Process a panel var approach
Journal of Cleaner Production, 2017Co-Authors: Boqiang Lin, Junpeng ZhuAbstract:Abstract This paper first estimates the energy-related carbon dioxide (CO 2 ) emissions and carbon intensity of China's 30 provinces from 2000 to 2015. By constructing a 4-variable Panel Vector Auto-regression (PVAR) model, the paper quantitatively analyzes the dynamic relationship among Urbanization, industrial structure, energy and carbon intensity in China during Urbanization and industrialization stage. The results show that Urbanization Process and the advancement of industrial structure are consistent with the optimization goals of energy and carbon intensity. In the long term, energy and carbon intensity will decline with the development of Urbanization and the advancement of industrial structure. But Urbanization Process has an inverted U-shaped effect on energy and carbon intensity, while the influence of industrial structure advancement on energy and carbon intensity increases over time. In contrast, the positive impact of energy intensity on carbon intensity is mainly reflected in the short term. This paper confirms the importance of Urbanization and upgrading of industrial structure in the goal of energy saving and emissions reduction. Thus, this paper suggests that each province should adopt the upgrading of industrial structure as one of the policy goals, and constantly promote new Urbanization Process, following their own development characteristics.
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how industrialization and Urbanization Process impacts on co2 emissions in china evidence from nonparametric additive regression models
Energy Economics, 2015Co-Authors: Bin Xu, Boqiang LinAbstract:This paper examines the impacts of industrialization and Urbanization on CO2 emissions in China using nonparametric additive regression models and provincial panel data from 1990 to 2011. The empirical results show that there is an inverted U-shaped nonlinear relationship between industrialization and CO2 emissions in the three regions in China. Urbanization follows an inverted U-shaped pattern with CO2 emissions in the eastern region, and a positive U-shaped pattern in the central region. However, the nonlinear impact of Urbanization on CO2 emissions is insignificant in the western region. As a result, the differential dynamic effects of industrialization and Urbanization on CO2 emissions in the three regions should be taken into consideration in reducing China's CO2 emissions.
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china s energy demand and its characteristics in the industrialization and Urbanization Process
Energy Policy, 2012Co-Authors: Zhujun Jiang, Boqiang LinAbstract:China is currently in the Process of industrialization and Urbanization, which is the key stage of transition from a low-income country to a middle-income country and requires large amount of energy. The Process will not end until 2020, so China's primary energy demand will keep high growth in the mid-term. Although each country is unique considering its particular history and background, all countries are sharing some common rules in energy demand for economic development. Based on the comparison with developed countries, here, we report some rules in the Process of industrialization and Urbanization as follows: (1) Urbanization always goes along with industrialization; (2) the higher economic growth is, the higher energy demand is; (3) economic globalization makes it possible to shorten the time of industrialization, but the shorter the transition phase is, the faster energy demand grows; (4) the change of energy intensity presents as an “inverted U” curve, but whose shape can be changed for different energy policy. The above rules are very important for the Chinese government in framing its energy policy.
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china s energy demand and its characteristics in the industrialization and Urbanization Process a reply
Energy Policy, 2012Co-Authors: Zhujun Jiang, Boqiang LinAbstract:Zhang and Qin (2013) argued that in Jiang and Lin (2012), the equation form and variable selection should be altered, and it was problematic to use regression equation to project the future. In this reply, we disagree with and will refute some of the points raised in their comments. The model that we established was based on the mature economic theory; with the variable selections all having economic implications. Considering the economic development stage, China's Urbanization will speed up and this will have significant effect on energy consumption. Therefore, Urbanization is an indispensable variable for analyzing energy demand in China. The scenario design only in terms of the GDP is sufficient for illustrating energy demand trend in China to be understood in a way by most of the people. Although energy forecast is not that precise, it has an important implication for energy policy design, especially for China which is in transition. And China's energy demand will keep high growth in the mid-term.
Xiaoling Ouyang - One of the best experts on this subject based on the ideXlab platform.
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price and expenditure elasticities of residential energy demand during Urbanization an empirical analysis based on the household level survey data in china
Energy Policy, 2016Co-Authors: Chuanwang Sun, Xiaoling OuyangAbstract:Urbanization, one of the most obvious characteristics of economic growth in China, has an apparent “lock-in effect” on residential energy consumption pattern. It is expected that residential sector would become a major force that drives China's energy consumption after Urbanization Process. We estimate price and expenditure elasticities of residential energy demand using data from China's Residential Energy Consumption Survey (CRECS) that covers households at different income levels and from different regional and social groups. Empirical results from the Almost Ideal Demand System model are in accordance with the basic expectations: the demands for electricity, natural gas and transport fuels are inelastic in the residential sector due to the unreasonable pricing mechanism. We further investigate the sensitivities of different income groups to prices of the three types of energy. Policy simulations indicate that rationalizing energy pricing mechanism is an important guarantee for energy sustainable development during Urbanization. Finally, we put forward suggestions on energy pricing reform in the residential sector based on characteristics of China's undergoing Urbanization Process and the current energy consumption situations.
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household pathway selection of energy consumption during Urbanization Process in china
Energy Conversion and Management, 2014Co-Authors: Chuanwang Sun, Xiaoling Ouyang, Hongbo Cai, Zhichao LuoAbstract:China’s growing energy demand is driven by Urbanization. Facing the problem of energy scarcity, residential energy consumption is a crucial area of energy conservation and emissions reduction. Household energy consumption patterns, which are characterized by effects of “path lock-in”, have long-term impacts on China’s energy demand. Based on the survey data, this paper explores factors that influence household energy consumption and analyzes the structure of residential energy consumption in China. Based on the results of analysis of variance (ANOVA), this paper applies the Tobit and Ordinary Least Squares (OLS) models to investigate impacts of variables of “the tiered pricing for household electricity (TPHE)”, “solar energy usage”, “automobile ownership”, “rural or urban areas”, “household income” and “city scale” on the residential energy expenditure. In addition, household energy consumption is estimated under different scenarios including improving the utilization of solar energy, rise in energy prices and the increase in automobile ownership. Residential energy consumption in 2030 is evaluated by simulating different models for urban development. Policy recommendations are suggested for China’s urban development strategy, new energy development and household pathway selection of energy consumption.
Ke Wang - One of the best experts on this subject based on the ideXlab platform.
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china s long term low carbon transition pathway under the Urbanization Process
Advances in Climate Change Research, 2019Co-Authors: Ke Wang, Junling Liu, Qinrui Xiahou, Fangming Liu, Ji Zou, Ying KongAbstract:Abstract This study develops a comprehensive analysis framework and socio-economic energy system model that interlinks demographic change and energy system in order to analyze the Urbanization Process and its relation with China's long-term CO2 emissions trend as China’ economy enters the “new normal” stage. The results show that, around 300 million people are expected to migrate from rural areas to urban areas by 2050 following a trend, in which people are moving gradually from small and medium city groups to large and super city groups. The migration trend together with the improvement in living standard will promote China's infrastructure construction, industry production, and energy service demand growth. Under the Business as Usual (BAU) scenario, total primary energy consumption in China will reach 8.4 Gtce by 2050, energy-related CO2 emissions will increase to 17.6 Gt, which is 83% higher than the 2013 level. While in the Low Carbon Transition (LCT) scenario with technology innovation, the total primary energy demand for China in 2050 could be controlled at ∼6 Gtce; CO2 emissions would peak during 2020–2025, and be reduced by 78% by 2050 compared to the BAU scenario. In the transition Process, non-fossil fuel power generation and energy efficiency technologies have the largest mitigation potentials. Industry and power sectors would peak first before 2020, followed by the building and transport sectors which are projected to peak around 2030. The total additional capital investment required for LCT would account for 1.5% of GDP. Therefore, it is technologically and economically feasible for China to implement new Urbanization strategy.
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the accelerated Urbanization Process a threat to soil resources in eastern china
Sustainability, 2015Co-Authors: Jinsong Deng, Ke Wang, Shuquan JinAbstract:The eastern coastal region of China has been experiencing rapid Urbanization which has imposed great challenges on soil resources, characterized by soil sealing and fragmented soil landscapes. Taking Zhejiang Province—a fairly economically-developed and highly-urbanized region in eastern China—as a case study, a practical framework that integrates remote sensing, GIS, soil quality assessment and landscape analysis was employed to track and analyze the rapid Urbanization Process and spatiotemporal dynamics of soil sealing and landscape change from 1990 to 2010. Meanwhile, this paper qualitatively explored the regional inequality and characteristics in soil sealing intensity among cities of different geo-zones in Zhejiang Province. Results showed that total area of 6420 km2 had been sealed during the past two decades for the entire study area, which represents 6.2% of the provincial area. Among these sealed soils, 68.6% are fertile soils located in flat plains, such as Paddy soils. Soil landscapes became more fragmented and dispersed in distribution, more irregular and complex in shape, and less dominant and diverse in soil type, as evidenced by the constant change of various spatial landscape metrics. What is more, different geo-zones exhibited significant differences in dynamics of soil sealing intensity, soil composition and soil landscape patterns. The permanent loss of valuable soil resource and increasing fragmented soil landscape patterns concomitant with rapid Urbanization Processes may inevitably bring about potential threats to regional soil resources and food security.
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spatio temporal dynamics and evolution of land use change and landscape pattern in response to rapid Urbanization
Landscape and Urban Planning, 2009Co-Authors: Jin S Deng, Ke Wang, Yang HongAbstract:Abstract Analyzing spatio-temporal characteristics of land use change is essential for understanding and assessing ecological consequence of Urbanization. More importantly, such analysis can provide basic information for appropriate decision-making. By integrating historical high spatial-resolution SPOT images and spatial metrics, this study explored the spatio-temporal dynamics and evolution of land use change and landscape pattern in response to the rapid Urbanization Process of a booming-developing city in China from 1996 to 2006. Accurate and consistent land use change information was first extracted by the change detection method proposed in this study. The changes of landscape pattern were then analyzed using a series of spatial metrics which were derived from FRAGSTATS software. The results indicated that the rapid Urbanization Process has brought about enormous land use changes and urban growth at an unprecedented scale and rate and, consequently, given rise to substantial impacts on the landscape pattern. Findings further revealed that cropland and water were the major land use types developed for urban sprawl. Meanwhile, the landscape pattern underwent fundamental transition from agricultural-land-use dominant landscape to urban-land-use dominant landscape spanning the 10 years. The results not only confirmed the applicability and effectiveness of the combined method of remote sensing and metrics, but also revealed notable spatio-temporal features of land use change and landscape pattern dynamics throughout the different time periods (1996–2000, 2000–2003 and 2003–2006).
Xiufeng Wang - One of the best experts on this subject based on the ideXlab platform.
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mapping and evaluating the Urbanization Process in northeast china using dmsp ols nighttime light data
Sensors, 2014Co-Authors: Hiroshi Tani, Jiquan Zhang, Meng Guo, Yulong Bao, Xiufeng WangAbstract:In this paper, an Urban Light Index (ULI) is constructed to facilitate analysis and quantitative evaluation of the Process of Urbanization and expansion rate by using DMSP/OLS Nighttime Light Data during the years from 1992 to 2010. A unit circle Urbanization evaluation model is established to perform a comprehensive analysis of the Urbanization Process of 34 prefecture-level cities in Northeast China. Furthermore, the concept of urban light space is put forward. In this study, urban light space is divided into four types: the core urban area, the transition zone between urban and suburban areas, suburban area and fluorescent space. Proceeding from the temporal and spatial variation of the four types of light space, the pattern of morphologic change and space-time evolution of the four principal cities in Northeast China (Harbin, Changchun, Shenyang, Dalian) is analyzed and given particular attention. Through a correlation analysis between ULI and the traditional Urbanization indexes (urban population, proportion of the secondary and tertiary industries in the regional GDP and the built-up area), the advantages and disadvantages as well as the feasibility of using the ULI in the study of Urbanization are evaluated. The research results show that ULI has a strong correlation with urban built-up area (R2 ＝ 0.8277). The morphologic change and history of the evolving urban light space can truly reflect the characteristics of urban sprawl. The results also indicate that DMSP/OLS Nighttime Light Data is applicable for extracting urban space information and has strong potential to Urbanization research.
Yang Hong - One of the best experts on this subject based on the ideXlab platform.
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spatio temporal dynamics and evolution of land use change and landscape pattern in response to rapid Urbanization
Landscape and Urban Planning, 2009Co-Authors: Jin S Deng, Ke Wang, Yang HongAbstract:Abstract Analyzing spatio-temporal characteristics of land use change is essential for understanding and assessing ecological consequence of Urbanization. More importantly, such analysis can provide basic information for appropriate decision-making. By integrating historical high spatial-resolution SPOT images and spatial metrics, this study explored the spatio-temporal dynamics and evolution of land use change and landscape pattern in response to the rapid Urbanization Process of a booming-developing city in China from 1996 to 2006. Accurate and consistent land use change information was first extracted by the change detection method proposed in this study. The changes of landscape pattern were then analyzed using a series of spatial metrics which were derived from FRAGSTATS software. The results indicated that the rapid Urbanization Process has brought about enormous land use changes and urban growth at an unprecedented scale and rate and, consequently, given rise to substantial impacts on the landscape pattern. Findings further revealed that cropland and water were the major land use types developed for urban sprawl. Meanwhile, the landscape pattern underwent fundamental transition from agricultural-land-use dominant landscape to urban-land-use dominant landscape spanning the 10 years. The results not only confirmed the applicability and effectiveness of the combined method of remote sensing and metrics, but also revealed notable spatio-temporal features of land use change and landscape pattern dynamics throughout the different time periods (1996–2000, 2000–2003 and 2003–2006).
