scholarly journals Decoupling Elasticity and Driving Factors of Energy Consumption and Economic Development in the Qinghai-Tibet Plateau

2020 ◽  
Vol 12 (4) ◽  
pp. 1326 ◽  
Author(s):  
Weiguo Fan ◽  
Mengmeng Meng ◽  
Jianchang Lu ◽  
Xiaobin Dong ◽  
Hejie Wei ◽  
...  
Keyword(s):  
Economic Development ◽  
Energy Consumption ◽  
Driving Factors ◽  
Tibet Plateau ◽  
Energy Structure ◽  
Plateau Region ◽  
Effort Level ◽  
Index Model ◽  
Industrial Energy ◽  
Qinghai Tibet Plateau

Decoupling of energy consumption and economic development is a key factor in achieving sustainable regional development. The decoupling relationship between energy consumption and economic development in the Qinghai-Tibet Plateau region is still unclear. This paper uses the logarithmic mean Divisia index (LMDI) decomposition method and Tapio elastic index model to analyze the decoupling degree and driving factors of energy consumption and economic development, and evaluates the decoupling effort level in Qinghai-Tibet Plateau from 2006 to 2016. The results indicate that the Qinghai-Tibet Plateau region showed a weak decoupling as a whole, and that only Tibet experienced expanding negative decoupling in 2006–2007 and an expansion link in 2007–2008. Economic scale is a primary factor that hinders the decoupling of energy consumption, followed by investment intensity and industrial energy structure. The cumulative promotion effect of research and development (R&D) efficiency and intensity and the inhibition effect of investment intensity cancel each other out. With the exception of Tibet and Xinjiang, all provinces in the Qinghai-Tibet plateau have made decoupling efforts. Decoupling efforts made by R&D efficiency contributed the most, followed by energy intensity and R&D intensity. This paper provides policy recommendations for the decoupling of energy consumption experience for underdeveloped regions.

scholarly journals Research on the Influence of Energy Utilization and Economic Development on Human Well-Being in Qinghai-Tibet Plateau

2020 ◽  
Vol 13 (1) ◽  
pp. 196
Author(s):  
Mengmeng Meng ◽  
Weiguo Fan ◽  
Jianchang Lu ◽  
Xiaobin Dong ◽  
Hejie Wei
Keyword(s):  
Economic Development ◽  
Well Being ◽  
Resource Acquisition ◽  
Energy Utilization ◽  
Western China ◽  
Tibet Plateau ◽  
Four Dimensions ◽  
Generalized Matrix ◽  
Qinghai Tibet Plateau ◽  
Means Of Production

Qinghai-Tibet Plateau is a typical resource-rich but economically backward region in western China, and it is of great urgency to improve human well-being. Combined with previous scholars’ research and the characteristics of Qinghai-Tibet Plateau, this paper constructs an index system of human well-being including four dimensions: income and consumption, means of production, means of subsistence, and resource acquisition ability. Then, it uses generalized matrix method estimations to measure the influence of energy utilization and economic development on human well-being and makes a regression analysis on the influence of energy utilization and economic development on human well-being in various provinces in this region. It is found that per capita GDP and coke utilization promote the well-being of all dimensions, while the urban registered unemployment rate only promotes the well-being of means of subsistence. The utilization of gasoline and natural gas promotes income and consumption and inhibits the means of subsistence and resource acquisition ability, but they have opposite effects on means of production. The impacts of energy utilization and economic development in different provinces on human well-being are different. This study is of great significance to the related research aiming at improving people’s livelihood and promoting regional development.

Population migration across the Qinghai-Tibet Plateau: Spatiotemporal patterns and driving factors

2021 ◽  
Vol 31 (2) ◽  
pp. 195-214
Author(s):  
Nan Wang ◽  
Huimeng Wang ◽  
Yunyan Du ◽  
Jiawei Yi ◽  
Zhang Liu ◽  
...  
Keyword(s):  
Driving Factors ◽  
Spatiotemporal Patterns ◽  
Tibet Plateau ◽  
Population Migration ◽  
Qinghai Tibet Plateau

scholarly journals SHORT REPORT: IDENTIFICATION OF ECHINOCOCCUS SPECIES FROM A YAK IN THE QINGHAI-TIBET PLATEAU REGION OF CHINA

2003 ◽  
Vol 69 (4) ◽  
pp. 445-446 ◽  
Author(s):  
NING XIAO ◽  
PHILIP S. CRAIG ◽  
MINORU NAKAO ◽  
JIAMIN QIU ◽  
KAZUHIRO NAKAYA ◽  
...  
Keyword(s):  
Tibet Plateau ◽  
Short Report ◽  
Plateau Region ◽  
Qinghai Tibet Plateau

scholarly journals WATER VAPOR CONVERSION FACTOR OVER QINGHAI-TIBET PLATEAU REGION CONSIDERING ELEVATION, LATITUDE AND FINE SEASONAL VARIATION IS CONSTRUCTED

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 271-277
Author(s):  
H. Peng ◽  
L. K. Huang ◽  
C. Li ◽  
L. L. Liu ◽  
S. Wang ◽  
...  
Keyword(s):  
Water Vapor ◽  
High Precision ◽  
Conversion Factor ◽  
Conversion Coefficient ◽  
Reference Value ◽  
Radiosonde Data ◽  
Tibet Plateau ◽  
Grid Data ◽  
Plateau Region ◽  
Qinghai Tibet Plateau

Abstract. In this paper, the conversion factor K model of Qinghai-Tibet plateau region was established based on the QTm model which is established using high-precision the Global Geodetic Observing System (GGOS) Atmosphere grid data from 2007 to 2014. The model took into account the influence of elevation fluctuation and latitude change on the model, and analyzed the relevant characteristics with seasonal changes. The 2015 GGOS grid data and radiosonde data were used as the reference value for accuracy assess. The established QTm model was compared with GPT2w model in bias and RMS. Compared with GGOS grid data, the average annual bias and RMS of QTm model were -0.28K and 2.70k respectively. The RMS of GPT2w-5 and GPT2w-1 were 58.16% and 28.84% higher, respectively. Compared with radiosonde data, QTm model has 1.13k average annual bias and the RMS error of 2.92k. Compared with GPT2w-5 and GPT2w-1, the RMS value of QTm model was improved by 25.08% and 29.43%, respectively. The value of atmospheric water vapor conversion coefficient was calculated by the integral method calculated by radio sounding data in the Qinghai-Tibet region in 2015 was used as the reference value for assess the performance of conversion factor K, and compared and analyzed the conversion coefficient K which provided by QTm and GPT2w. The results show that the value of Tm provided by QTm model has the highest accuracy, which is 25.07% higher than that of GPT2w-5 and 29.42% higher than that of GPT2w-1. QTm models can achieve GPS-PWV retrieval precision of better than 2 mm. Which has potential application for high-precision real-time GNSS-PWV retrieving in Qinghai-Tibet region.

Analysis of Hunan Province Industry’s Carbon Emission Based on the Energy Consumption Structure

2014 ◽  
Vol 641-642 ◽  
pp. 1078-1081
Author(s):  
Lin Wu ◽  
Han Li
Keyword(s):  
Energy Consumption ◽  
Carbon Emission ◽  
High Energy ◽  
Hunan Province ◽  
Carbon Intensity ◽  
Energy Structure ◽  
Coal Consumption ◽  
Consumption Structure ◽  
Industrial Energy ◽  
Industrial Energy Consumption

Energy consumption carbon emission factor method was used to analyze the carbon emission evolution of industrial energy consumption in Hunan Province with collected data on industrial energy consumption in 2000-2012. Results had shown that Hunan province industry’s carbon emission keep increasing in 2000-2012. There is a highly correlation between the total coal consumption and carbon emission of industrial energy carbon emission. Industrial energy consumption structure plays a decisive role in carbon emission. Industrial economic growth at the expense of high energy consumption in 2000-2005 has changed. Industrial carbon intensity has a fluctuated downward trend from 2005 to 2012. From the perspective of carbon emission per industrial output and industrial energy consumption structure, there is a large potential for carbon emission control in Hunan industrial energy consumption. Therefore, the main way to control carbon emission of industrial energy consumption in Hunan Province is to optimize the energy structure, reasonable adjustment of industry structure, improve energy technical level, proper control the growth of energy consumption.

scholarly journals DUAL INFECTION OF ANIMAL HOSTS WITH DIFFERENT ECHINOCOCCUS SPECIES IN THE EASTERN QINGHAI-TIBET PLATEAU REGION OF CHINA

2006 ◽  
Vol 75 (2) ◽  
pp. 292-294 ◽  
Author(s):  
NING XIAO ◽  
JIAMIN QIU ◽  
PHILIP S. CRAIG ◽  
PATRICK GIRAUDOUX ◽  
MINORU NAKAO ◽  
...  
Keyword(s):  
Dual Infection ◽  
Tibet Plateau ◽  
Plateau Region ◽  
Animal Hosts ◽  
Qinghai Tibet Plateau
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