scholarly journals Based on Big Data, Household Indebtedness Restraining Consumption Escalation of Township Residents in China

2021 ◽  
pp. 487-497
Author(s):  
Zefan Zhang, Yan Zhang
Keyword(s):  
Big Data ◽  
Financial Literacy ◽  
Rapid Development ◽  
Financial Risks ◽  
Economic Policies ◽  
The Public ◽  
Steady Growth ◽  
Consumption Culture ◽  
Legal Policies ◽  
The Government

The consumption culture and concepts of Chinese households have undergone dramatic changes along with the rapid development of the market economy, that consumption in advance and consumption in debt led by young consumer groups has gradually been recognized and accepted by the public, resulting in accumulated financial risks faced by households with high liabilities from fear of liabilities originally. Based on big data, this paper uses descriptive statistical analysis and related technical tests to conclude the reasons why the household indebtedness of the township residents restrains the escalation of household consumption by using sampling survey and quota survey, and proposes countermeasures to improve the financial literacy of the residents, strengthen the relevant business capabilities of the financial institutions, and improve the related legal policies by the government, with the aim of contributing to the government's ability to make and implement economic policies concerning steady growth in the township and town areas.

Big Data in the philippines: How do we actually use them?

2021 ◽  
pp. 1-30
Author(s):  
Lisa Grace S. Bersales ◽  
Josefina V. Almeda ◽  
Sabrina O. Romasoc ◽  
Marie Nadeen R. Martinez ◽  
Dannela Jann B. Galias
Keyword(s):  
Big Data ◽  
High Speed ◽  
The Philippines ◽  
Complex Data ◽  
Official Statistics ◽  
Group Discussions ◽  
The Public ◽  
The Government ◽  
The Many ◽  
Current Utilization

With the advancement of technology, digitalization, and the internet of things, large amounts of complex data are being produced daily. This vast quantity of various data produced at high speed is referred to as Big Data. The utilization of Big Data is being implemented with success in the private sector, yet the public sector seems to be falling behind despite the many potentials Big Data has already presented. In this regard, this paper explores ways in which the government can recognize the use of Big Data for official statistics. It begins by gathering and presenting Big Data-related initiatives and projects across the globe for various types and sources of Big Data implemented. Further, this paper discusses the opportunities, challenges, and risks associated with using Big Data, particularly in official statistics. This paper also aims to assess the current utilization of Big Data in the country through focus group discussions and key informant interviews. Based on desk review, discussions, and interviews, the paper then concludes with a proposed framework that provides ways in which Big Data may be utilized by the government to augment official statistics.

From Data to Vision

2015 ◽  
pp. 1-14 ◽  
Author(s):  
Rhoda Joseph
Keyword(s):  
Big Data ◽  
Public Sector ◽  
Private Sector ◽  
Government Agency ◽  
Specific Context ◽  
Federal Level ◽  
The Public ◽  
Country Level ◽  
Current Survey ◽  
The Government

This chapter examines the use of big data in the public sector. The public sector pertains to government-related activities. The specific context in this chapter looks at the use of big data at the country level, also described as the federal level. Conceptually, data is processed through a “knowledge pyramid” where data is used to generate information, information generates knowledge, and knowledge begets wisdom. Using this theoretical backdrop, this chapter presents an extension of this model and proposes that the next stage in the pyramid is vision. Vision describes a future plan for the government agency or business, based on the current survey of the organization's environment. To develop these concepts, the use of big data is examined in three different countries. Both opportunities and challenges are outlined, with recommendations for the future. The concepts examined in this chapter are within the constraints of the public sector, but may also be applied to private sector initiatives pertaining to big data.

scholarly journals Risks in China's Financial System

2018 ◽  
Vol 10 (1) ◽  
pp. 261-286 ◽  
Author(s):  
Zheng (Michael) Song ◽  
Wei Xiong
Keyword(s):  
Economic Growth ◽  
Financial System ◽  
Capital Allocation ◽  
Financial Risks ◽  
Economic Policies ◽  
Financial Systems ◽  
Long Run ◽  
Need To Evaluate ◽  
The Government ◽  
Near Future

Motivated by growing concerns about the risks and instability of China's financial system, this article reviews several commonly perceived financial risks and discusses their roots in China's politico-economic institutions. We emphasize the need to evaluate these risks within China's unique economic and financial systems, in which the state and nonstate sectors coexist and the financial system serves as a key tool of the government to fund its economic policies. Overall, we argue that ( a) a financial crisis is unlikely to happen in the near future and ( b) the ultimate risk lies with China's economic growth, as a vicious circle of distortions in the financial system lowers the efficiency of capital allocation and economic growth and will eventually exacerbate financial risks in the long run.

scholarly journals Optimizing Bus Passenger Complaint Service through Big Data Analysis: Systematized Analysis for Improved Public Sector Management

2016 ◽  
Author(s):  
Weng-Kun Liu ◽  
Chia-Chun Yen
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Public Sector ◽  
Environmental Sustainability ◽  
Research Area ◽  
Big Data Analysis ◽  
The Public ◽  
Demand Chain ◽  
Customer Complaint ◽  
The Government

With the advances in industry and commerce, passengers have become more accepting of environmental sustainability issues; thus, more people now choose to travel by bus. Government administration constitutes an important part of bus transportation services as the government gives the right-of-way to transportation companies allowing them to provide services. When these services are of poor quality, passengers may lodge complaints. The increase in consumer awareness and developments in wireless communication technologies have made it possible for passengers to easily and immediately submit complaints about transportation companies to government institutions, which has brought drastic changes to the supply-demand chain comprised of the public sector, transportation companies, and passengers. This study proposed the use of big data analysis technology including systematized case assignment and data visualization to improve management processes in the public sector and optimize customer complaint services. Taichung City, Taiwan was selected as the research area. There, the customer complaint management process in public sector was improved, effectively solving such issues as station-skipping, allowing the public sector to fully grasp the service level of transportation companies, improving the sustainability of bus operations, and supporting the sustainable development of the public sector-transportation company-passenger supply chain.

scholarly journals Reflection on Prevention and Control of Telecommunication Network Fraud in Big Data Era

2020 ◽  
Vol 2 (2) ◽  
pp. 42
Author(s):  
Xingrui Wang
Keyword(s):  
Big Data ◽  
Communication Technology ◽  
Telecommunication Network ◽  
Rapid Development ◽  
Economic Losses ◽  
The Public ◽  
Telecommunication Equipment ◽  
The Masses ◽  
And Control ◽  
Big Data Technology

<p>With the rapid development of smart phones and communication technology, the frequency of communication between the public and society through telecommunication equipment is increasing. At the same time, some lawless elements often cheat the public through telecommunication equipment, which brings irreparable economic losses to the society and the masses to a certain extent. In view of the above problems, this article takes the source of telecommunication fraud as the breakthrough point, analyzes the existing telecommunication fraud processing technology and points out its shortcomings, and then proposes a method of telephone fraud analysis based on big data technology. This technology fills the defects of the existing telecommunication interception technology and provides a new idea for effectively avoiding telecommunication fraud in the future.</p>

scholarly journals Framing the Retirement Planning Behavior Model towards Sustainable Wellbeing among Youth: The Moderating Effect of Public Profiles

2020 ◽  
Vol 12 (21) ◽  
pp. 8879
Author(s):  
Asyraf Afthanorhan ◽  
Abdullah Al Mamun ◽  
Noor Raihani Zainol ◽  
Hazimi Foziah ◽  
Zainudin Awang
Keyword(s):  
Financial Literacy ◽  
Structural Equation ◽  
Retirement Planning ◽  
Measurement Scale ◽  
Equation Modeling ◽  
Systematic Random Sampling ◽  
The Public ◽  
Goal Clarity ◽  
The Government ◽  
Random Sampling Approach

This study examines the effect of financial literacy, saving attitudes, social influence, and goal clarity on the retirement planning construct. In addition, it investigates how the public demographic profile moderates these relationships. The questionnaire approach was utilized to collect data by adopting and customizing the measurement scale from previous studies. A systematic random sampling approach was employed on 323 prospective respondents. The outcomes of this study illustrate that all relationships are significantly and positively associated with retirement planning using structural equation modeling (SEM). Furthermore, all moderator variables (gender, age, status, income, and education) moderated the relationships. The government should construct a holistic retirement planning model that is based on demographic characteristics.

scholarly journals A Differential Game of Industrial Pollution Management considering Public Participation

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Chuansheng Wang ◽  
Fulei Shi ◽  
Cuiyou Yao
Keyword(s):  
Public Participation ◽  
Differential Game ◽  
Industrial Pollution ◽  
Rapid Development ◽  
Feedback Nash Equilibrium ◽  
Positive Part ◽  
The Public ◽  
Pollution Management ◽  
Reduce Emissions ◽  
The Government

In recent years, with the rapid development of economy, industrial pollution problems have become more and more serious. In this paper, a differential game model is proposed for industrial pollution management, in which public participation is taken into consideration. Then, a feedback Nash equilibrium (FBNE) solution is obtained among the government, enterprises, and the public. Finally, a numerical example is given to illustrate the results. The results show that the public participation will take a positive part in forcing enterprises to reduce emissions. Furthermore, with the increase of the probability of the public reporting the illegal discharge of pollutants by enterprises, the probability of enterprises' active emission reduction will also greatly increase

From Data to Vision

Big Data ◽  
2016 ◽  
pp. 2149-2163
Author(s):  
Rhoda Joseph
Keyword(s):  
Big Data ◽  
Public Sector ◽  
Private Sector ◽  
Government Agency ◽  
Specific Context ◽  
Federal Level ◽  
The Public ◽  
Country Level ◽  
Current Survey ◽  
The Government

This chapter examines the use of big data in the public sector. The public sector pertains to government-related activities. The specific context in this chapter looks at the use of big data at the country level, also described as the federal level. Conceptually, data is processed through a “knowledge pyramid” where data is used to generate information, information generates knowledge, and knowledge begets wisdom. Using this theoretical backdrop, this chapter presents an extension of this model and proposes that the next stage in the pyramid is vision. Vision describes a future plan for the government agency or business, based on the current survey of the organization's environment. To develop these concepts, the use of big data is examined in three different countries. Both opportunities and challenges are outlined, with recommendations for the future. The concepts examined in this chapter are within the constraints of the public sector, but may also be applied to private sector initiatives pertaining to big data.

Integrating Open and Big Data via ‘e-Oman’: prospects and issues

2016 ◽  
Vol 9 (4) ◽  
pp. 607-621 ◽  
Author(s):  
Stuti Saxena
Keyword(s):  
Higher Education ◽  
Big Data ◽  
Case Studies ◽  
Open Data ◽  
Future Research ◽  
The Public ◽  
Online Portal ◽  
Higher Education Admissions ◽  
The Government ◽  
Government Portal

While ‘e-Oman’ is a repository of Open Data, its significance in terms of being a potent source for Big Data deserves attention. This paper seeks to underscore how important is the integration of Big and Open Data in e-Oman – the e-government portal of Oman. Drawing evidence from four case studies based on the Higher Education Admissions Center (HEAC) ‘e-Portal’ – an online portal meant for the payment of electricity bills, traffic fines and visa applications – the paper lends support to the implementation of integration of Big and Open Data which, for a number of purposes, could be better harnessed. Thus, while the paper identifies the opportunities entailed in achieving the integration of Big and Open Data in the context of the case studies chosen for the study, there are concomitant challenges impacting this integration that need to be addressed. Specifically, e-Oman needs to be updated with Open Data and the government needs to take steps to build and maintain a robust physical, human and information infrastructure for harnessing the potential of integrating Open and Big Data in the public sector. The paper concludes with directions for future research.

IV. Party Government and Employment Policy

1945 ◽  
Vol 39 (6) ◽  
pp. 1147-1157 ◽  
Author(s):  
E. E. Schattschneider
Keyword(s):  
Political Action ◽  
Full Employment ◽  
Political Conflict ◽  
Economic Policies ◽  
Employment Policy ◽  
Party Government ◽  
The Public ◽  
Stormy Weather ◽  
The Government ◽  
New Policies

The prediction that full employment will have a great political future is based on the fact that economic policies of this kind reach large segments of the public not previously accustomed to political action or only recently made aware of the potentialities of politics. Only the war itself has served to remind these relatively non-political people as urgently of the new importance of the government to every one as they are likely to be reminded by the establishment of the principle that public authority and public resources ought to be used to promote or produce sixty million jobs. What people do about the government depends on what they think the government is able to do. Therefore, the idea that the government is now able to protect people against the most dreaded of the manifestations of economic instability is almost certain to have a great impact on the political behavior of millions of people, many of whom have never before been drawn into the orbit of politics.Moreover, unless the millenium is here, it seems probable that a prolonged and disturbing controversy over employment policies is in the making. In fact, a major political conflict over these policies can probably be avoided only by the abandonment of the whole project, i.e., by conceding the argument that full employment is none of the business of the government. The friends of the new policies are, therefore, in the position of having to pray for stormy weather.

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