scholarly journals Spatial Correlation Network and Regional Differences for the Development of Digital Economy in China

Entropy ◽  
2021 ◽  
Vol 23 (12) ◽  
pp. 1575
Author(s):  
Luyang Tang ◽  
Bangke Lu ◽  
Tianhai Tian
Keyword(s):  
Regional Differences ◽  
Southern China ◽  
Rapid Development ◽  
Estimation Method ◽  
Spillover Effects ◽  
Northern Region ◽  
Digital Economy ◽  
Developmental Differences ◽  
Theil Index ◽  
Developmental Levels

The rapid development of the digital economy is a powerful driving force to promote high-quality economic growth all over the world. Although a number of studies have been conducted to investigate the development of the digital economy in China, these studies pay little attention to the spatial linkages between the 30 provinces in China and the developmental differences between northern and southern China. Using Chinese digital economic data from 2004 to 2019, we propose an index system to measure the developmental levels of the digital economy and obtain the annual developmental levels of these provinces by using the factor analysis method. We analyze the regional differences of developmental levels by using the Theil index and kernel density estimation method. More importantly, the network method is used to analyze the correlations between the developmental levels of the digital economy in all provinces of China. By decomposing regional differences, our study shows that polarized and uncoordinated development is prominent. The development level of the digital economy in the southern region is higher than that in the northern region. In terms of regional correlations, the network study suggests that there are beneficial and spillover effects of the digital economy development between provinces. Based on the analysis results, we propose policies for improving the development of the digital economy in China.

Analysis of integrated development of digital economy with the Heilongjiang Province’s cross-border E-commerce with Russia

2020 ◽  
Vol 93 (4) ◽  
pp. 16-23
Author(s):  
Song Linlin ◽  
Keyword(s):  
Financial Services ◽  
Rapid Development ◽  
Digital Economy ◽  
The Internet ◽  
Heilongjiang Province ◽  
Integrated Development ◽  
Development Status ◽  
Cross Border ◽  
Internet Economy ◽  
Comparative Advantages

Since the establishment of the China (Heilongjiang) pilot free trade zone, the development of cross-border e-commerce with Russia has continued to increase speed and quality. With its geographical advantages and its comparative advantages in the Internet field, Heilongjiang Province promoted the rapid development of the Internet economy in Russia, fostered a new digital trade format represented by cross-border e-commerce, and promoted online and offline collaborative promotion of customs clearance logistics and financial services. The paper expounds foundation and development status of Heilongjiang Province’s cross-border e-commerce, analyzes in integrated development of digital economy with the Heilongjiang Province’s cross-border e-commerce with Russia, and further puts forward prospects and recommendations.

SiFi

2021 ◽  
Vol 2 (3) ◽  
pp. 1-21
Author(s):  
Deke Guo ◽  
Xiaoqiang Teng ◽  
Yulan Guo ◽  
Xiaolei Zhou ◽  
Zhong Liu
Keyword(s):  
Rapid Development ◽  
Estimation Method ◽  
Likelihood Estimation ◽  
Location Based Services ◽  
Shopping Mall ◽  
Inference Problem ◽  
Indoor Location ◽  
Label Semantics ◽  
Geometrical Constraints ◽  
Indoor Scenes

Due to the rapid development of indoor location-based services, automatically deriving an indoor semantic floorplan becomes a highly promising technique for ubiquitous applications. To make an indoor semantic floorplan fully practical, it is essential to handle the dynamics of semantic information. Despite several methods proposed for automatic construction and semantic labeling of indoor floorplans, this problem has not been well studied and remains open. In this article, we present a system called SiFi to provide accurate and automatic self-updating service. It updates semantics with instant videos acquired by mobile devices in indoor scenes. First, a crowdsourced-based task model is designed to attract users to contribute semantic-rich videos. Second, we use the maximum likelihood estimation method to solve the text inferring problem as the sequential relationship of texts provides additional geometrical constraints. Finally, we formulate the semantic update as an inference problem to accurately label semantics at correct locations on the indoor floorplans. Extensive experiments have been conducted across 9 weeks in a shopping mall with more than 250 stores. Experimental results show that SiFi achieves 84.5% accuracy of semantic update.

scholarly journals Information Spillover Effects of Real Estate Markets: Evidence from Ten Metropolitan Cities in China

2021 ◽  
Vol 14 (6) ◽  
pp. 244
Author(s):  
Junjie Li ◽  
Li Zheng ◽  
Chunlu Liu ◽  
Zhifeng Shen
Keyword(s):  
Real Estate ◽  
Rapid Development ◽  
House Price ◽  
Principal Component ◽  
Spillover Effects ◽  
Real Estate Markets ◽  
The Real ◽  
The Real Estate ◽  
Information Interaction ◽  
Information Spillover

With the rapid development of information communication technology and the Internet, information spillover between cities in real estate markets is becoming more frequent. The influence of information spillover in real estate markets is becoming more and more prominent. However, the current research of information spillover between cities is still relatively insufficient. In view of this research gap, this paper builds a research framework on the information conduction effect in the real estate markets of 10 Chinese cities by using Baidu search data, text mining and principal component analysis and analyzes the information interaction and dynamic influence of the real estate markets in each city by using the vector autoregressive model empirically. The results show that the information interaction among the real estate markets in each city has a network pattern and there is a significant two-way information spillover effect in most cities. When the “information distance” becomes closer, the information interaction between the markets of the cities becomes closer and it is easier for cities to influence each other. The results help to explain the information spillover mechanism behind the house price spillover and to improve the ability to predict and analyze the information spillover process in real estate markets.

scholarly journals Comprehensive Evaluation of the Provincial Sustainable Tourismization Level in China and Its Temporal and Spatial Differences

2021 ◽  
Vol 13 (18) ◽  
pp. 10475
Author(s):  
Yuwei He ◽  
Hui Zhang
Keyword(s):  
Regional Differences ◽  
Comprehensive Evaluation ◽  
Temporal Distribution ◽  
Entropy Method ◽  
Evaluation Index System ◽  
Three Dimensions ◽  
Theil Index ◽  
Eastern Region ◽  
Development Mode ◽  
Policy And Strategy

Sustainable tourismization is a favorable development mode and pathway for the promotion of the coordinated development of the economy, society, and ecology. Based on the connotations of tourismization, a comprehensive evaluation index system of sustainable tourismization was constructed. This system consists of three dimensions: consumption tourismization, spatial tourismization, and industrial tourismization. The level, spatial, and temporal distribution characteristics, and differences in sustainable tourismization among China’s provinces from 2009 to 2018 were measured and analyzed using the improved entropy method, the Theil index, a spatial autocorrelation analysis, and other methods. It was found that the level of provincial sustainable tourismization in China has steadily increased over time, with the eastern region taking the lead. The overall differences and inter-regional differences in terms of the provincial sustainable tourismization level have generally decreased year-by-year. The intraregional differences within the eastern region were found to be the largest, and the rate of contribution of inter-regional differences to overall differences was shown to decrease gradually, while the rate of contribution of intraregional differences within the western region increased gradually. A positive spatial correlation in the provincial sustainable tourismization level was identified, and the spatial agglomeration effect showed an increasing trend. The spatial dependence was mainly characterized by “high–high” (HH) agglomeration, showing a ladder difference of “higher in the east and lower in the west”. The results of this study were used to identify where emphasis should be placed in terms of policy and strategy.

scholarly journals The Influence of the Development of Digital Economy on the Upgrading of China’s Industrial Structure

2021 ◽  
Vol 235 ◽  
pp. 03062
Author(s):  
Yaling Li
Keyword(s):  
National Economy ◽  
Economic Model ◽  
Industrial Structure ◽  
Rapid Development ◽  
Digital Economy ◽  
The Internet ◽  
Profound Impact ◽  
Internet Development ◽  
The Impact

Nowadays, with the rapid development of the Internet, all walks of life are closely connected with the development of the Internet. Differences in the degree of integration between different industries and the Internet make the leading industries of the national economy constantly change, thus promoting the transformation and upgrading of the industrial structure. The impact of Internet development on the upgrading of industrial structure is not only that the interconnected technologies and platforms change the traditional economic model, but also that the integration of Internet and industry has a profound impact on the industrial structure.

scholarly journals PERBANDINGAN ALTERNATIF ASPEK PEMAJAKAN BAGI PENYEDIA LAYANAN OVER THE TOP ASING

2019 ◽  
Vol 1 (1) ◽  
pp. 10
Author(s):  
Hendrie Ardhiansyah ◽  
Nurhidayati Nurhidayati
Keyword(s):  
Information And Communication Technology ◽  
Communication Technology ◽  
Rapid Development ◽  
Digital Economy ◽  
Case Study Approach ◽  
Study Approach ◽  
Foreign Companies ◽  
Information And Communication ◽  
Over The Top

Over the years, the rise of digital economy has confused countries in their efforts to tax foreign companies without physically presence within their jurisdiction. One of the potential tax revenues that have not been optimally digging comes from the digital sector. The digital economy sector has enormous potential along with the rapid development of information and communication technology, especially the internet. This digital economy market is dominated by internet-based services commonly called Over The Top (OTT) services and is filled with global content owned by foreign companies. This article argues the provisions of taxation for foreign OTT lending providers in England, Australia, India, and Japan. This research used a qualitative non-case study approach. This study outlines the strengths and weaknesses of each alternative.

scholarly journals THE DEVELOPMENT OF RURAL TOURISM UNDER DIGITAL ECONOMY

2021 ◽  
Vol 3 (2) ◽  
pp. 51-53
Author(s):  
Fei Xue
Keyword(s):  
Artificial Intelligence ◽  
Social Development ◽  
Rapid Development ◽  
Digital Economy ◽  
Current Situation ◽  
Rural Tourism ◽  
Internet Technology

With the development of Internet technology, the digital economy, represented by 5G and artificial intelligence, is playing an increasingly important role. In this context, this paper analyzes the current situation of the development of rural tourism under the digital economy, and expounds the factors that affect the development of digital economy in rural tourism, and puts forward countermeasures, in order to facilitate the rapid development of rural tourism from the three perspectives of social development, government leading and residents.

The Challenges and Opportunities of E-Commerce Data Collection in Indonesia Compared to BRICS Countries

2021 ◽  
pp. 118-132
Author(s):  
Muhammad Basorudin ◽  
Khalilur Rahman ◽  
Nadra Yudelsa Ratu ◽  
Easbi Ikhsan ◽  
Wida Siddhikara Perwitasari
Keyword(s):  
Data Collection ◽  
Comparative Study ◽  
Southeast Asia ◽  
Swot Analysis ◽  
Rapid Development ◽  
Digital Economy ◽  
National Statistics ◽  
Brics Countries ◽  
Maturity Assessment ◽  
Challenges And Opportunities

The development of e-commerce business in Indonesia is very rapid. The rapid development of e-commerce in Indonesia will make Indonesia the largest digital economy in Southeast Asia in 2020. However, there are several obstacles, one of which is the provision of a trusted e-commerce database. Data has an important element in development in developing an e-commerce business in Indonesia. As the National Statistics Organizations, BPS Statistics Indonesia was pushed to collect the e-commerce data. BPS has developed several methods of collection e-commerce data using e-commerce survey and crawling technique in 2018 but still has a weakness. As a comparative study, there are several countries of G-20 that have high development in e-commerce and associate themselves as BRICS countries. With SWOT Analysis and Maturity Assessment, this study wants to analyze strength, weakness, opportunity, and thread, also measure the maturity from each method of collection used. Based on the result, Indonesia has better maturity in technology implemented, but worse regulation and people cooperation.

scholarly journals Robust Sparse Bayesian Learning-Based Off-Grid DOA Estimation Method for Vehicle Localization

Sensors ◽  
2020 ◽  
Vol 20 (1) ◽  
pp. 302 ◽  
Author(s):  
Yun Ling ◽  
Huotao Gao ◽  
Sang Zhou ◽  
Lijuan Yang ◽  
Fangyu Ren
Keyword(s):  
Autonomous Vehicles ◽  
Bayesian Learning ◽  
Rapid Development ◽  
Estimation Method ◽  
Estimation Algorithm ◽  
Doa Estimation ◽  
Sparse Bayesian Learning ◽  
Vehicle Localization ◽  
Localization System ◽  
Sparse Signal Representation

With the rapid development of the Internet of Things (IoT), autonomous vehicles have been receiving more and more attention because they own many advantages compared with traditional vehicles. A robust and accurate vehicle localization system is critical to the safety and the efficiency of autonomous vehicles. The global positioning system (GPS) has been widely applied to the vehicle localization systems. However, the accuracy and the reliability of GPS have suffered in some scenarios. In this paper, we present a robust and accurate vehicle localization system consisting of a bistatic passive radar, in which the performance of localization is solely dependent on the accuracy of the proposed off-grid direction of arrival (DOA) estimation algorithm. Under the framework of sparse Bayesian learning (SBL), the source powers and the noise variance are estimated by a fast evidence maximization method, and the off-grid gap is effectively handled by an advanced grid refining strategy. Simulation results show that the proposed method exhibits better performance than the existing sparse signal representation-based algorithms, and performs well in the vehicle localization system.

scholarly journals The Challenges and Strategies of Food Security under Rapid Urbanization in China

2019 ◽  
Vol 11 (2) ◽  
pp. 542 ◽  
Author(s):  
Yong-sheng Wang
Keyword(s):  
Food Security ◽  
Food Consumption ◽  
Urban Areas ◽  
Southern China ◽  
Northern China ◽  
Northern Region ◽  
Grain Production ◽  
Rapid Urbanization ◽  
Agricultural Income ◽  
The Impact

Food security has received wide attention in China for a long time due to the challenges of a huge population and limited farmland area. Under conditions of rapid urbanization, the food scenario has changed, creating major challenges for massive populations in China. This paper intends to reveal the impact of urbanization on food security and to propose strategies for mitigating the threats to it. Total grain production has continuously increased, but most of the grain production has been distributed in the northern region since 2006. Although the per capita rural income has increased significantly since 1980, the agricultural income ratio has consistently declined from 56.13% in 1983 to 26.61% in 2012. A dramatic shift in food consumption away from grain towards meat, poultry, eggs, milk and liquor has been found in both rural and urban areas. The faster agricultural water consumption growth in northern China over southern China helped close the gap. There has been net increase of cultivated land in northern China, whereas southern China has seen a net decrease. The medium- and low-level cultivation ratios of land were 52.84% and 17.69%, respectively, in 2015. This paper concluded that food security in China could be ensured by increasing production and optimizing consumption. It suggested that enhanced grain production capacity, strict water management, and land consolidation engineering as well as agricultural industrialization could be used for maintaining grain production. Food consumption itself can be managed by optimizing resident dietary pattern, reducing food waste, adjusting grain consumption structure and moderating food imports policy.

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