scholarly journals Internet Development, Spatial Spillover and Upgrading of China’s Consumption Structure: A Spatial Econometrics Analysis Based on Data of 242 Cities during 2005-2016

2021 ◽  
Vol 251 ◽  
pp. 01037
Author(s):  
Zhang Xiaoying ◽  
Ke Kaili

Based on the household survey data from 242 cities at and above the prefecture level during 2005-2016. This study evaluates changes in the upgrading of China’s consumption structure, and investigates the overall and regional impacts of Internet development and spatial spillover on the upgrading of China’s consumption structure using the spatial Durbin model (SDM) with time fixed effects. The results suggest that China’s consumption structure remains basically stable in peiiodic changes, and there is a positive spatial correlation: China’s Internet development exerts significantly promoting effects on the upgrading of residents* consumption structure, and there is a regional heterogeneity, namely, such effects in Eastern China and Central China are more remarkable than those in Western China; Internet development in neighboring cities has indirect effects on the upgrading of urban residents* consumption structure through spatial spillover effects, and there are regional differences in such effects. This study provides enlightenment for promotion of the upgrading of residents* consumption structure and the high-quality economic development in China.

2018 ◽  
Vol 10 (10) ◽  
pp. 3701 ◽  
Author(s):  
Jiaping Zhang ◽  
Mingwang Cheng ◽  
Xinyu Wei ◽  
Xiaomei Gong

Marital happiness is an important symbol of social harmony and can help promote sustainable economic and social development. In recent years, the rapid rise of the divorce rate in China, a country where the divorce rate had previously been low, has attracted wide attention. However, few articles have focused on the popularization of information and communication technology's impact on China’s rising divorce rate in recent years. As a first attempt, the provincial panel data during the period 2001–2016 is applied to study quantitatively the relationship between mobile phone penetration and the divorce rate. In order to get more reliable estimation results, this paper uses two indicators to measure the divorce rate, and quantile regression is applied for further analysis. Additionally, one-year to five-year lag times of the mobile phone penetration are used as the core explanatory variables in order to analyse the lagging effect of mobile phone penetration on divorce rate. The result shows that the correlation between the mobile phone penetration and the divorce rate was statistically positive significant in China during the period 2001–2016. Furthermore, the paper also finds that mobile phone penetration had the greatest impact on divorce rate in central China, followed by eastern China, but it was not obvious in western China during this period. From a technological perspective, this paper provides some possible explanations for the rising divorce rate in China in recent years, and further enriches the relevant research on the impact of the development of information and communication technology on societal changes.


2018 ◽  
Vol 53 ◽  
pp. 04008
Author(s):  
Fumin Deng ◽  
Hui Zhu ◽  
Xuedong Liang

Regional green development can commendably abide by the theory of dissipative structure. The relative dissipative characteristics taken on by regional development are analyzed, in which the energy factors and resources factors are incorporated into the green economic development and green environment support subsystems (2GE system) in line with the definite input characteristics. A more representative indicator system is established, with positive and negative entropy indexes involved. As Brusselator model and information entropy method are employed to calculate the data of 30 China’s provinces from 2008 to 2015, the findings bespeak that green development in China lays particular stress on green economic development assuming higher environment pressure and cost. The development among various regions is getting progressively and evidently different, which is manifested as potent economic base and abundant natural resources in the Eastern China; the backward green economic development and the progress of green environment in Central China; the pursuit of green economic development at the expense of the green environment in Western China and Northeastern China.


2019 ◽  
Vol 19 (22) ◽  
pp. 14107-14117 ◽  
Author(s):  
Deming Han ◽  
Yingge Ma ◽  
Cheng Huang ◽  
Xufeng Zhang ◽  
Hao Xu ◽  
...  

Abstract. Perfluoroalkyl acids (PFAAs) are a form of toxic pollutant that can be transported across the globe and accumulated in the bodies of wildlife and humans. A nationwide geographical investigation considering atmospheric PFAAs via a passive air sampler (PAS) based on XAD (a styrene–divinylbenzene copolymer) was conducted in 23 different provinces/municipalities/autonomous regions in China, which provides an excellent chance to investigate their occurrences, spatial trends, and potential sources. The total atmospheric concentrations of 13 PFAAs (n=268) were 6.19–292.57 pg m−3, with an average value of 39.84±28.08 pg m−3, which were higher than other urban levels but lower than point source measurements. Perfluorooctanoic acid (PFOA) was the dominant PFAA (20.6 %), followed by perfluorohexanoic acid (PFHxA), perfluorooctane sulfonate (PFOS), and perfluoroheptanoic acid (PFPeA). An increasing seasonal trend of PFAA concentrations was shown as summer < autumn < spring < winter, which may be initiated by stagnant meteorological conditions. Spatially, the content of PFAAs displayed a declining gradient trend of central China > northern China > eastern China > north-eastern China > south-western China > north-western China > southern China, and Henan contributed the largest proportion of PFAAs. Four sources of PFAAs were identified using a positive matrix factorization (PMF) model, including PFOS-based products (26.1 %), products based on PFOA and perfluorononanoic acid (PFNA; 36.6 %), degradation products of fluorotelomer-based products (15.5 %), and an unknown source (21.8 %).


Plant Disease ◽  
2014 ◽  
Vol 98 (9) ◽  
pp. 1221-1226 ◽  
Author(s):  
Feng Zhou ◽  
Xiao-Lei Zhang ◽  
Jin-Li Li ◽  
Fu-Xing Zhu

The dicarboximide fungicide dimethachlon has been widely used for controlling Sclerotinia sclerotiorum in China for more than a decade. To assess the current status of dimethachlon resistance in S. sclerotiorum in China, 2,424 isolates were collected from disease-infected oilseed rape and soybean plants in five provinces of China in 2011 and 2012, and dimethachlon resistance was monitored by mycelial growth inhibition method on potato dextrose agar (PDA) media. Dimethachlon at 5 μg/ml was used as a discriminatory dose to detect resistance in all isolates, and 50% effective concentration values were determined for all dimethachlon-resistant isolates and some sensitive isolates. No dimethachlon resistance was detected in isolates from Anhui province (eastern China), Gansu province (northwestern China), and Qinghai province (western China). In Hunan province (central China), 3 of 268 (1.12%) isolates collected from oilseed rape plants in 2012 were resistant to dimethachlon, and the resistance ratios for the three resistant isolates were 4.56, 32.70, and 105.53, respectively. In Heilongjiang province (northeastern China), 8 of 243 (3.29%) isolates collected from soybean plants in 2011 were resistant to dimethachlon, with resistance ratios of 5.57 to 94.80; 11 of 409 (2.69%) isolates collected in 2012 were resistant to dimethachlon, with resistance ratios of 3.21 to 9.69. Cross-resistance studies showed that there was positive cross-resistance between dimethachlon and iprodione, procymidone, and the N-phenyl carbamate fungicide diethofencarb. No cross-resistance was found between dimethachlon and carbendazim, tebuconazole, kresoxim-methyl, thiram, and boscalid. Compared with the sensitive isolates of S. sclerotiorum, the field-dimethachlon-resistant isolates were more sensitive to osmotic pressure, grew more slowly on PDA media, and were less pathogenic on leaves of oilseed rape.


2016 ◽  
Vol 16 (3) ◽  
pp. 855-869 ◽  
Author(s):  
Jun Shi ◽  
Kangmin Wen ◽  
Linli Cui

Abstract. The spatial and temporal characteristics of the frequencies of four types of high-impact weather (HIW), i.e. snowfall, thunderstorms, fog and hailstorms, were analysed in China during 1959–2014. Results indicate a significant decrease in the number of snowfall days, thunderstorm days and thunderstorm spells in all six regions of China, with regional decreasing rates of 0.1–3.4 days, 1.6–5.1 days and 0.23–0.77 times per decade respectively. The number of foggy days, hailstorm days and snowfall spells decreased at rates of 0.2–1.8 days, 0.1–0.7 days and 0.14–0.44 times per decade respectively in almost all regions and fog and hailstorm spells decreased at rates of 0.06–0.17 and 0.001–0.043 times per decade respectively in most regions of China. Spatially, there was more snowfall in northeastern China and western China, and more thunderstorms in southern China and southwestern China. The number of fog events was larger in some high mountain stations, eastern China and central China. Hailstorms were concentrated on Qinghai–Tibet Plateau. Over the past 56 years, snowfall days, thunderstorm days and thunderstorm spells decreased in most parts of China, and hailstorm days decreased in northeastern China, most parts of northern China and Tibet, southern Qinghai and western Sichuan. The spatial trends of foggy days, foggy spells, snowfall spells and hailstorm spells were not significant in most parts of China. With global warming, some types of HIW are likely to increase in their intensities, so more mitigation and adaptation strategies are still essential for local government and the public in China.


2021 ◽  
Vol 13 (16) ◽  
pp. 9076
Author(s):  
Jie Zhou ◽  
Hanlin Lan ◽  
Cheng Zhao ◽  
Jianping Zhou

With the development of digital technologies such as the Internet and digital industries such as e-commerce, the digital economy has become a new form of economic and social development, which has brought forth a new perspective for environmental governance, energy conservation, and emission reduction. Based on data from 30 Chinese provinces from 2011 to 2018, this study applies the space and threshold models to empirically examine the digital economy’s influence on haze pollution and its spatial spillover. Furthermore, it investigates the spatial diffusion effect of regional digital economic development and haze pollution by constructing a spatial weight matrix. Subsequently, an instrumental variable robustness test is performed. Results indicate the following: (1) Haze pollution has spatial spillover effects and high emission aggregation characteristics, with haze pollution in neighbouring provinces significantly aggravating pollution levels in the focal province. (2) China’s digital economy has positively impacted haze pollution, with digital economic development having a significant effect (i.e., most prominent in eastern China) on reducing haze pollution. (3) Changing the energy structure and supporting innovation can restrain haze pollution, and the digital economy can reduce the path mechanism of haze pollution through the mediating effect of an advanced industrial structure. It shows a non-linear characteristic that the influence of haze reduction continues to weaken. Thus, policymakers should include the digital economy as a mechanism for ecologically sustainable development in haze pollution control.


Forests ◽  
2021 ◽  
Vol 12 (11) ◽  
pp. 1511
Author(s):  
Xue Gong ◽  
Aihong Yang ◽  
Zhaoxiang Wu ◽  
Caihui Chen ◽  
Huihu Li ◽  
...  

Cinnamomum camphora (L.) J.Presl is a representative tree species of evergreen broad-leafed forests in East Asia and has exceptionally high economic, ornamental, and ecological value. However, the excessive exploitation and utilization of C. camphora trees have resulted in the shrinking of wild population sizes and rare germplasm resources. In this study, we characterized 171 C. camphora trees from 39 natural populations distributed throughout the whole of China and one Japanese population. We investigated genetic diversity and population structure using genome-wide single-nucleotide polymorphism (SNP) identified by genotyping by sequencing (GBS) technology. The results showed the genetic diversity of the C. camphora populations from western China > central China > eastern China. Moreover, the Japanese population showed the highest diversity among all populations. The molecular variance analysis showed 92.03% of the genetic variation within populations. The average pairwise FST was 0.099, and gene flow Nm was 2.718, suggesting a low genetic differentiation among populations. Based on the genetic clustering analysis, the 40 C. camphora populations clustered into three major groups: Western China, Central China, and Eastern China + Japan. Eastern China’s population had the closest genetic relationship with the Japanese population, suggesting possible gene exchange between the two adjacent areas. This study furthers our understanding of the genetic diversity and genetic structure of C. camphora in East Asia and provides genetic tools for developing strategies of C. camphora germplasm utilization.


2018 ◽  
Vol 26 (2) ◽  
pp. 276-298 ◽  
Author(s):  
Zutao Deng ◽  
Yan Gao ◽  
Bin Liang ◽  
Alastair M Morrison

This research evaluated the efficiency of hotels in 31 provinces and 4 regions (Eastern, Western, Central, and Northeastern China) using the superefficiency slacks-based measure model. The reasons for operational inefficiency were assessed from two perspectives: input redundancy and output shortfalls. Most hotels were found to have operational inefficiencies, and there is a significant scope for future improvement. The relative efficiency of hotel operations by the four regions was as follows: Eastern China > Central China > Western China > Northeastern China. The efficiency of hotels demonstrated differing coefficients of variation. The most significant coefficient of variation was for Western China, and the smallest was for Northeastern China. The primary cause of inefficiencies was in input redundancies, especially the high degree of input redundancy in number of hotels, employees, and rooms. Also, to some degree, differences exist among the four regions in operational inefficiencies.


2021 ◽  
pp. 0958305X2110151
Author(s):  
Ni-Ni Yin ◽  
Ke-Liang Wang ◽  
Zhen Yao ◽  
Li-Li Ding ◽  
Zhuang Miao

In order to promote sustainable economic development in the areas along the Belt and Road in China, it is of great necessity to reduce the negative impact of air pollutants resulting from industrialization and urbanization on the complex and fragile ecological environments of neighboring areas. First, this study estimated the total-factor air environmental efficiency (TFAEE) of 17 provinces along the Belt and Road in China from 2010 to 2017 using a slacks-based measure (SBM) model. Second, the global and local Moran indices were used to test the spatial correlations between TFAEEs. Finally, the spatial factors and spatial spillover effects influencing the TFAEEs were investigated using the spatial Durbin model with spatiotemporal double fixed effects. The results were shown as follows: (1) The total-factor TFAEEs of the areas along the Belt and Road were low and showed significant regional spatial differences during 2010–2017. (2) There was a positive spatial autocorrelation between the TFAEEs of the areas along the Belt and Road, and the spatial distribution generally clustered into High-High and Low-Low concentrations. (3) Economic development and technological innovation played significantly positive effects on TFAEEs of the areas in the Belt and Road, while energy consumption structure had negative effect on it. In addition, although industrial structure and environmental regulation were negatively correlated with TFAEEs, the coefficients were not significant. (4) The positive spatial spillover effect of the TFAEEs of the areas along the Belt and Road was mainly the result of significant environmental regulations and insignificant economic development factors, while the technological innovations, energy consumption structures and industrial structures showed insignificant negative spatial spillover effects.


2020 ◽  
Vol 41 (4) ◽  
pp. 368-387
Author(s):  
Hao Lei ◽  
Ming Ming Chiu

China’s education reforms might affect students’ academic emotions (and hence their motivation and learning outcomes). This study examines Chinese adolescents’ academic emotions across time via a cross-temporal meta-analysis of 96 studies published between 2004 and 2017. Our results indicate that in later years, adolescents’ positive high-arousal and positive low-arousal emotions were higher, while negative low-arousal emotions were lower. Compared to 2004, positive high-arousal and positive low-arousal emotions in 2017 were both over half a standard deviation higher, while negative low-arousal emotions were over half a standard deviation lower. Positive high-arousal and positive low-arousal emotions were higher in later years in Eastern China but not in Central China and Western China. In later years, negative low-arousal emotions were lower in Eastern and Western China than in Central China. Gender differences were not significant. These results are consistent with both control-value theory and the claim that curriculum and instruction reform helped improve students’ academic emotions in China.


Sign in / Sign up

Export Citation Format

Share Document