Data In China Research Articles

Mapping Research trend in Covid 19 and energy

This research delves into the bibliometric analysis of the interconnection between COVID-19 and energy, exploring the scholarly landscape and research trends in these critical areas. By employing bibliometric methods using biblioshiny to analyze publications, citation networks, and collaboration patterns, this study aims to uncover the impact and visibility of research from 2020-2023 from scopus index on keyword COVID-19 and energy. , average citation in document is 16,54.In H index , We can see that affiliation Energies. Have highest H index 14, the highest no of documents belongs to Klemes JJ with 12 documents, We can see that affiliation from China university of Petroleum (East China) have the highest production article in year 2023 reach nearly 20. in this data china have the highest corresponding authors countries , The treemap indicates the most frequently used keywords in articles,in this dataset about covid19 and energy we find Covid 19 and Energy utilization as the most common word. in emerging or declining themes we find covid 19, energy utilization and energy efficiency , and in motor themes we find human, human and corona virus disease 2019 , for basic themes and niche themes is empty

How data factor flow affects corporate pollution reduction: The environmental effects of digital empowerment

This study the theoretical hypotheses by building a relatively exogenous data factor flow indicator and a corporate pollution emission intensity indicator system using China's data flow restriction policy and corporate pollution emission data. Data factor is emerging as an essential new factor of production in today's digital economy, and data cannot function valuablely without an efficient flow. This study constructs a theoretical model of the influence of data factor flow on the pollution emissions of downstream manufacturing enterprises based on the vertical correlation of inputs and outputs. Additionally, we employ additional contaminants as a robustness test and sulfur dioxide, a common representation of air pollution, as the baseline. The empirical analysis's findings indicate that: (1) Data factor flow significantly reduces pollution in manufacturing enterprises. (2) The main way that data factor flow helps organizations minimize pollution is by increasing their productivity and ability to innovate in technology. (3) Domestic data flow is more important than cross-border data flow in helping industrial companies reduce pollution. (4) In general, foreign-owned enterprises have a greater need for data factor flow to reduce pollution than do state-owned and private businesses.

Challenges and Countermeasures to Data Sharing in the Context of Intellectual Property Rights

In the context of the digital economy era, data sharing has brought great value to the economic operation of the whole society. Due to factors such as diversification of subjects and types, infringement problems in data sharing and data circulation occur from time to time, and these problems need to be solved urgently. Through the literature analysis method and comparative analysis method, the current problems in data sharing are sorted out. China has carried out many explorations for solving the intellectual property rights problems in data sharing, but there are still problems such as insufficient existing legislation, data sharing and protection are not yet balanced, the attribution of rights is not yet clear, and it is easy to be leaked illegally. In view of the current problems faced by China's data sharing in the field of intellectual property rights, corresponding suggestions and measures are put forward, and the future research direction is envisioned.

The effect of traditional Chinese medicine soaking method on the healing of diabetic foot ulcers: A meta-analysis.

Foot infections, sores or deep tissue damage from diabetes can be a serious psychological and physical injury. This paper aims at making meta-analyses on the therapeutic effects of traditional Chinese medicine (TCM) on diabetic foot ulcers. The Chinese National Knowledge Infrastructure, VIP Database, Wanfang Database and so on, has conducted a randomized controlled trial to evaluate the clinical effect of TCM soaking method for diabetes patients with diabetes. Literature has been determined to be included by computer search and by hand rough checks. The search period was from the creation of the database to October 2023. Review Manager 5.3 was used to analyse the meta data and evaluate it systematically. Altogether, 479 research was conducted in China's data base and 20 of them were eventually collected for the final statistical analysis. In all, 1361 patients were enrolled in the trials. The results indicated that TCM immersion in diabetic foot resulted in significantly improved obvious wound healing (OR, 3.2; 95% CI, 2.5, 4.09, p < 0.0001); results showed that TCM immersion therapy significantly increased the efficiency of effective wound healing (OR, 4.55; 95% CI, 3.25, 6.37, p < 0.001). Statistical significance was found. Using Egger's approach to detect publishing bias suggests that there is no risk of publishing bias in terms of marked wound healing and effective healing. Traditional Chinese drug immersion can increase obviously the recovery ratio and the effective recovery ratio of diabetic foot.

Legal Boundaries of Data Protection

With the development of Internet, big data and artificial intelligence technology, personal information protection has become the focus of social attention. The legal boundary of data protection has become increasingly prominent, involving the collection, storage, use, transmission and disclosure of personal information. This paper aims to explore the legal boundary of data protection, analyze the legal basis, legal principles and legal provisions of personal information protection, and put forward corresponding legal suggestions, in order to provide reference for the improvement of China's data protection legal system.

The Importance of China's Competition Law in the Management of Data in the Country's Rapidly Developing Digital Economy: Policy Recommendations for Pakistan

With the expansion of the digital economy and the rising importance of data, organizations are under more regulatory scrutiny over the collection, use, and sharing of data. Antitrust and competition authorities and governments worldwide are now evaluating and deliberating on the applicability and suitability of antitrust and competition laws in addressing data-related issues, notably within the digital economy. Parallel ideas and concerns are also gaining prominence in China. China has not only been enhancing its legislative framework to govern and facilitate state control over data, but it has also significantly strengthened regulatory oversight and control over Internet and technology firms. Competition legislation has prominently featured in China's governmental efforts to suppress the Internet and technology industries. Regulatory competition in the post-industrial digital economy is examined. Regulatory competition is achieved through neo-protectionism, which aims to boost social and economic development and growth by creating new comparative advantages in the digital economy. Innovative, digital, and information Neo-protectionism has emerged as a key aspect of international economic strategy for nations that lead its implementation. This article examines how China's competition laws may regulate Internet and technology companies' data and behavior. By analyzing China's data regulatory structure and competition rules, including political and economic aspects, this is achieved. China's political economy and competition rules consider many interests, aims, and priorities. Concerns that other nations may not associate with competition law may be included. China's macroeconomic monitoring guides competition law enforcement.

CO2 emission-mitigation pathways for China's data centers

Increased emissions related to China's burgeoning digital economy pose significant challenges. Using a Kaya–LMDI model, this study investigates the driving factors of data-center CO2 emissions in China from 2017 to 2021, highlighting the roles of computing scale, energy intensity, power usage effectiveness, and emission intensity. We find a marked increase in emissions across various Chinese provinces, largely driven by computing scale. While projections suggest that data-center emissions could reach 430 million tons by 2050 (three times greater than 2021 levels), such emissions could potentially be reduced to 11–29 million tons under the “net-zero emissions” scenario. Highlighting the need to mitigate data-center emission intensity, our findings underscore the recalibrations in operational methods, technology, and energy sourcing needed to expedite the transition to net-zero emissions.

Research on the Impact of Economic Policy Uncertainty on Investor Sentiment and Stock Prices

This paper focuses on the time-varying relationship between economic policy uncertainty and investor sentiment and stock prices. Firstly, this paper summarizes the research status of the three variables, so as to conduct in-depth research on the basis of the existing research results. This paper selects China's data from 2010-2022 and estimates the TVP-SV-VAR model, finding that economic policy uncertainty not only inhibits investment, but also has a positive impact on investor sentiment and stock prices in some periods.

The Regulatory Dilemma and the Way Out of China's Digital Trade Barriers in the Comparative Perspective of the United States and China

With the expansion of global digital trade, China's digital economy is becoming growingly crucial to international digital trade. In the past, the understanding of digital trade regulation was limited to protecting the security of China's data, which led to a rather one-sided regulation of China's digital trade. The imperfect regulatory system has resulted in a series of problems such as overly stringent cross-border data flow legislation, conservative data localization regulations, and challenges to personal information security in China. This paper will examine the above problems. To solve the above problems, this paper puts forward the following suggestions. China should seize the important opportunity of digital trade development to improve supporting measures, build a perfect digital regulatory system and deepen the international consultation mechanism. The above measures are expected to facilitate the process for China to adopt legislation governing digital trade and to further the positive growth of China's digital economy.

Retracted: Mental Health Study from the Perspective of Behavior Preference under the Environment of Internet Media: Based on China's Data Analysis.

[This retracts the article DOI: 10.1155/2022/2523093.].

Research and Improvement of China's Data Exit Supervision Rules

With the vigorous development of the digital economy, data security has created new demands on the system. Administrative punishment cases against data security such as the "Didi case" have exposed China's current shortcomings in regulating data export; In the international context, developed countries are trying to establish rules for cross-border data transfers. Under the background of both international and domestic reality, China's data export rules are constantly improving, responding to data security needs internally, and establishing a voice in rules related to cross-border data circulation externally. At present, China's legislation on data export has begun to take shape, and the operability has been significantly enhanced, but there are still legislative shortcomings such as unclear data classification standards.

When data protection norms meet digital health technology: China's regulatory approaches to health data protection

While ageing remains a global concern, it is especially challenging for China, which has the world's largest ageing population. In response, the Chinese government has introduced digitalisation policies that clearly embrace the use of information and communication technologies in health. To enhance data protection in this tide of digital transformation, China adopted its first ever standalone data protection legislation in 2021, the Personal Information Protection Law, which is expected to have huge impacts on technology and data processing. This paper captures these significant changes related to technological advances and regulatory approaches. It aims to explore the interplay between China's new data protection legal regime and the digital health advances which were proposed to facilitate healthcare in an ageing society. To do so, the paper first reviews and categorises the use of digital tools for various health functions and argues that the use of digital health technologies creates significant data protection concerns. The paper then investigates to what extent China's data protection rules mitigate privacy risks created by digital health technologies. An evolutionary overview of China's data protection legal landscape is mapped out. On this basis, outstanding legal issues surrounding health data protection are explored, contributing to a nuanced analysis of health data processing under different scenarios including: (1) healthcare provision; (2) health research; (3) public health; (4) social care and health management in a non-medical context; and (5) real-world data for market approval. The paper shows that the Personal Information Protection Law renders China's data protection legal landscape less fragmented and offers important legal safeguards for health data. Despite legislative advances, a closer look at relevant provisions in the Personal Information Protection Law and their interplay with other regulations reveals areas where further clarification is needed, including the definition of health data, the meaning of ‘separate consent’, data minimisation requirements for health apps, and the operation of the enforcement mechanism. The paper ends with indicating potential steps forward, with a hope that the benefits of digital health can be realised in a manner that respects privacy and human dignity.

Moderating effect of institutional policies on energy and technology towards a better environment quality: A two dimensional approach to China's sustainable development

Our study contributes towards identifying the world best practises and possible ways of attaining China's climate and sustainable goals. China is among the fastest growing emerging economies in the world, and its growth cannot be separated from utilization of energy sources which are capable of jeopardizing its climate and sustainable goals. China is ranked 1st in the global carbon emission which has great implications in both its domestic environment sustainable development and global climate change. Considering the position of China in the global economic and environmental performance, it is essential to investigate the possible global best practices to achieve its sustainable development. We utilized China's data of 1996Q1-2018Q4 for this study. Relevant instruments (renewable energy, technology innovation and institution) and methodology (Autoregressive Distributed Lag-ARDL bound and dynamics with granger causality) are adopted to scientifically test both the economic and environment performance of China. Findings from ARDL test established non validity of inverted U-shaped theory of Environmental Kuznets Curve (EKC) for the case of China. Also, inverse relationship is established between all the selected variables (renewable energy, technological innovation and institution) and the CO2. Interestingly, the output from granger causality is in synergy with the output from ARDL short and long run outputs. Feedback transmission was found between the variables (renewable energy, technological innovation and institution) of our choice with both environment (carbon dioxide emissions-CO2) and economic growth (Gross Domestic Product-GDP). The trend of relationship established between the selected variables (renewable energy, technology innovation and institution) points towards China's ability to achieve its climate and sustainable goal by framing its policy around energy sector and enhancement of technology with strong institutions.

Using machine learning to model technological heterogeneity in carbon emission efficiency evaluation: The case of China's cities

Improving carbon emission efficiency is essential to address climate change. The widely used methods of modelling heterogeneity in efficiency evaluation tend to artificially classify groups based on a single variable and thus result in biased estimation. To fill this knowledge gap, this paper proposes a new method that combines machine learning and radial directional distance function (DDF) to estimate carbon emission efficiency and reduction potential, in which heterogeneity could be grouped endogenously. Furthermore, index decomposition analysis (IDA) is incorporated to explore the dynamic determinants of carbon emission reduction potential. Using China's data at city level from 2010 to 2018, we found that carbon emission efficiency considering technology heterogeneity is between 0.569–0.822. This implies an excellent emission reduction potential of around 5.9 million tons in 2018. The reduction potential is attributable to managerial failure and technology gap—the latter accounts for 46–55% of the total reduction potential. We arguably conclude that the method in this paper can capture each city's economic and environmental information more accurately than previous methods based on geographic grouping, which may underestimate the reduction potential. We anticipate the machine learning method in this paper could provide insights on clustering the technological heterogeneity and efficiency evaluation.

『런민일보[人民日報]』에 나타난 5·18 광주민중항쟁 자료와 김대중 구명 성명에 대한 시의적 해석

The data on the May 18 Gwangju Democratic Uprising and the rescue of Kim Dae Jung's life in the People's Daily are of primary significance from the need for sympathy and cooperation from neighboring countries to seek the stability of the Korean Peninsula and the development of democracy. Nevertheless, related data for a long time were not subject to academic research. The reason can be summarized in two main ways. One is that the data containing the perspective of the socialist country China is not securing objectivity. The other is that researchers do not have an active attitude toward the discovery and academic research of the country's historical materials. Until now, academic research on the democratic movement and the maturity of democratization in the south of the Korean Peninsula has continued, focusing on the related data in the U.S. and Japan. Considering the current development of conflicts around the Korean Peninsula, it is time to study China's data at least from an academic perspective. Through the analysis, it was confirmed that China's data on the Kim Dae Jung life-saving movement in the process of the New Military Constitution is very valuable in the future construction of a unified state on the Korean Peninsula and planning contents for friendly exchanges between Korea and China.

Comparative Study on Legal Regulations of Cross-border Transfers of Personal Information

The free and rapid cross-border transfer of personal information is one of the main contributors to the prosperity of digital economy. However, China has relatively strict restrictions on the cross-border transfers of personal information. Although such provisions are conducive to safeguarding the interest of the individuals and the nation, they have adverse impact on giving full play to the commercial value of personal information in the era of digital economy. Additionally, China's insufficient participation in the formulation of international rules counts against to the construction of China's data discourse power. Therefore, the Chinese legislation is immature and needs to be perfected. This article analyzes the advanced legislative experience abroad, including the GDPR rules, the CBPR rules, and the Personal Information Protection Law of Japan. Taking actual situations of China into consideration, this article then puts forward four suggestions, including issuing practical standard contracts as soon as possible, promoting the construction of industry self-discipline mechanism, carrying out supplementary legislation in key areas, and participating on our own initiative in mapping out international rules.These suggestions are expected to benefit the perfection of China's legislation on the cross-border transfers of personal information as well as the enhancement of China's international data discourse power.

Policy inference from technological innovation, renewable energy, and financial development for sustainable development goals (SDGs): insight from asymmetric and bootstrap Granger causality approaches.

We researched China's climate and sustainable development goal with relevant and susceptible instruments capable of inducing and mitigating carbon emissions. Amidst the contributor to the global carbon emissions, China is caught in between mitigating its carbon emission and aiming towards placing its national contribution of emissions to the acceptable levels of 1.5°C and below 2°C. Following the intricacies surrounding China's sustainable development as it contains its economic and environmental performance, we adopt China's data of 1980 and 2018 with different scientific approaches (nonlinear autoregressive distributed lag (NARDL), dynamic ordinary least square test, and bootstrap Granger causality) with different instruments (such as economic growth, financial development, renewable energy, and innovation policies) to research China's sustainable development. For clear exposition and insight into our findings with policies attached, we draw a conclusion from the outcomes of the mentioned approaches. From NARDL and dynamic ordinary least squares (DOLS), we find that economic growth through economic activities is statistically significant in determining the trend (increase) of carbon emissions in China in both periods (short run and long run). However, other selected instruments (financial, renewable, and innovation policies) tend towards controlling and moderating the carbon emissions in China. Thus, China has good prospects to mitigate its carbon emissions if considered tailoring its policies towards favorable instruments. From bootstrap Granger causality, we find similar inferential results that support previous findings thereby confirming the positive implication of the selected instruments to China's sustainable development. Hence, the nexus that is established among the selected instruments clearly show the importance of technological innovation and renewable energy in mitigating carbon emissions.

Governing with health code: Standardising China's data network systems during COVID-19.

Noting the infrastructural turn in platform studies, the article conceives China's health code system, Jian Kang Ma (JKM), deployed to manage the COVID‐19 crisis as a new social infrastructure that manifests the symbolic and material power of the Party State. Using the platform walkthrough method and documentary inquiry, we unpack the structures of platform governance and identify actors of the power to appreciate the socio‐political dynamics of platform algorithms. JKM's structural power is not monolithic in the name of the Party State but supports a process of structuration that operates across multiple actors, administrative bodies and, governing layers. JKM has centralised data systems through the building of a nationwide algorithmic standard of COVID‐19 governance. JKM typified the political dynamics of deterritorialisation, a reference to the state's governing mindset of eradicating local variants of policy implementation and governing autonomy in China. The removal of local power in pandemic administration has led to the production of a unified national subject. Such a comprehensive approach begs for greater nuance and sophisticated knowledge about those indigenous logics that platforms and algorithms operate and are embedded in, thus contributing to de‐westernising platform studies.

Mental Health Study from the Perspective of Behavior Preference under the Environment of Internet Media: Based on China's Data Analysis.

To prevent the mental health problems of college preference students effectively, this paper analyzes the influence of college students' internet media use behaviors on their mental health in the information age. We make an empirical study on the above problems by using metrology models under the condition of controlling individual factors. The result shows that the mental health of college students is significantly affected by different internet media use behaviors and shows obvious heterogeneity. Preference for games and soap operas or films has a significant negative relationship with the mental health of college students, while the preference for science, education programs, and the preference to obtain current political news comments through official media have a positive impact on the psychological security of college students. Meanwhile, the mental health of college students is also significantly influenced by individual factors. The education level, family income, and social satisfaction show a significant positive correlation with the mental health of college students.

Concentrated Commonalities and Systemic Risk in China’s Banking System: A Contagion Network Approach

Chinese banking system has seen increasing convergence in exposures to different asset types. This concentrated commonalities have far reaching implications on systemic financial risk. By subdividing banks' assets on their balance sheets into 20 types, we construct a bipartite financial network using China's data in 2019 and 2020. A linear model is proposed to measure each bank's systemic importance (SI) and indirect vulnerability (IV), and the contagion strength between pair-wise banks (C), with respect to exogenous shocks originated from different sectors of the real economy. Results show that (1) concentrated common exposure to mortgage is demonstrated to be the most significant source of systemic vulnerability; (2) the derived contagion network shows the property of ``small world, which plays an important role in generating systemic risk, amplified non-linearly by multi-rounds of contagion; (3) Agricultural Bank of China along with seven other banks are identified as systemic important, Guangdong Development Bank as well as five other regional banks are suggested to be vulnerable, and Postal Savings Bank of China and China Construction Bank are critical nodes in transmitting risks. These findings contribute to more efficient and preciser macro prudential regulations.