scholarly journals THE INTERNET MIRACLE: THE IMPACT OF INTERNET ACCESS ON HOUSEHOLD SAVING IN INDONESIA

2021 ◽  
Vol 24 (2) ◽  
pp. 255-282
Author(s):  
Rahmanda Muhammad Thaariq ◽  
Arif Anindita ◽  
Hafizha Dea Iftina
Keyword(s):  
Survey Data ◽  
Family Life ◽  
Internet Access ◽  
The Internet ◽  
Household Savings ◽  
Household Saving ◽  
Indonesia Family Life Survey ◽  
Saving Behavior ◽  
The Impact ◽  
Positive Effect

This study analyzes the impact of access to the internet and household saving behavior, in the context of the amount of savings and the saving preferences, in Indonesia. Using the fifth wave of the Indonesia Family Life Survey data, this study finds that there is a positive effect between internet access and household savings. This access includes private internet access and public internet access. Nonetheless, the effect of private internet access differs from public internet access. Private internet access positively impacts both the amount of savings and the saving preferences, whilst public internet access only increases the amount saved, not the saving preferences.

Ethnicity and Household Savings in Indonesia

2021 ◽  
pp. 138-150
Author(s):  
Shochrul Rohmatul Ajija ◽  
Muhamad Abduh ◽  
Wasiaturrahma Wasiaturrahma ◽  
Ahmad Hudaifah
Keyword(s):  
Family Life ◽  
Logit Analysis ◽  
Household Savings ◽  
Household Saving ◽  
Factors Influencing ◽  
Indonesia Family Life Survey ◽  
The Family ◽  
Saving Behavior ◽  
Group Variable

Household saving is very important, not only for securing the future spending of the family but also for the country's economy. Using the logit analysis on data of The Indonesia Family Life Survey (IFLS) wave three, four, and five, this chapter analyzes factors influencing, especially the role of ethnicity, upon the household savings in Indonesia. The result indicates that gender, location, and level of education are the consistent variables affecting the household saving behaviour in Indonesia across the three wave surveys. Meanwhile, as for the ethnic group variable, there are only Sunda, Batak, and Bima-Dompu that can significantly influence the people's saving behavior across the three wave surveys.

Ethnicity and Household Savings in Indonesia

2020 ◽  
pp. 186-201
Author(s):  
Shochrul Rohmatul Ajija ◽  
Muhamad Abduh ◽  
Wasiaturrahma Wasiaturrahma ◽  
Ahmad Hudaifah
Keyword(s):  
Family Life ◽  
Logit Analysis ◽  
Household Savings ◽  
Household Saving ◽  
Factors Influencing ◽  
Indonesia Family Life Survey ◽  
The Family ◽  
Saving Behavior ◽  
Group Variable

Household saving is very important, not only for securing the future spending of the family but also for the country's economy. Using the logit analysis on data of The Indonesia Family Life Survey (IFLS) wave three, four, and five, this chapter analyzes factors influencing, especially the role of ethnicity, upon the household savings in Indonesia. The result indicates that gender, location, and level of education are the consistent variables affecting the household saving behaviour in Indonesia across the three wave surveys. Meanwhile, as for the ethnic group variable, there are only Sunda, Batak, and Bima-Dompu that can significantly influence the people's saving behavior across the three wave surveys.

Demographics and Saving Behavior of Households in Rural Areas of Vietnam: An Empirical Analysis

2013 ◽  
pp. 5-18
Author(s):  
Minh Nguyen Thi ◽  
Nhat Nguyen Hong ◽  
Anh Trinh Trong ◽  
Duc Phung Minh ◽  
Son Le Thai
Keyword(s):  
Rural Areas ◽  
Data Model ◽  
Logit Model ◽  
Multinomial Logit Model ◽  
Household Savings ◽  
Household Saving ◽  
Life Cycle Theory ◽  
Saving Behavior ◽  
And Gender ◽  
The Impact

This paper studies the saving behavior of rural households in Vietnam from two aspects: volume of savings and methods of saving. Two econometric models are conducted, the first one is a panel data model, used to examine the determinants of household saving; and the second one is a multinomial logit model used to investigate how a household chooses the way to save. Both models are based on the life cycle theory of saving and the permanent income hypothesis. We find that the household head’s age, education and gender are closely related to their saving behavior. And the impact of these variables takes different patterns between the two models. The results are useful for further research in forecasting household savings as well as in micro finance to find a better way of serving people who live in rural areas.

The Digital Divide and K-12 Student Computer Use

10.28945/2926 ◽  
2005 ◽  
Author(s):  
James N. Morgan ◽  
Craig A. VanLengen
Keyword(s):  
Digital Divide ◽  
Computer Use ◽  
Census Data ◽  
Internet Access ◽  
Demographic Characteristics ◽  
The Internet ◽  
Substantial Impact ◽  
Limited Basis ◽  
K 12 ◽  
The Impact

The divide between those who have computer and Internet access and those who do not appears to be narrowing, however overall statistics may be misleading. Measures of computer availability in schools often include cases where computers are only available for administration or are available only on a very limited basis (Gootman, 2004). Access to a computer and the Internet outside of school helps to reinforce student learning and emphasize the importance of using technology. Recent U.S. statistics indicate that ethnic background and other demographic characteristics still have substantial impact on the availability and use of computers by students outside of the classroom. This paper examines recent census data to determine the impact of the household on student computer use outside of the classroom. Encouragingly, the findings of this study suggest that use of a computer at school substantially increases the chance that a student will use a computer outside of class. Additionally, this study suggests that computer use outside of the classroom is positively and significantly impacted by being in a household with adults who either use a computer at work or work in an industry where computers are extensively used.

scholarly journals Impact Evaluation of Raskin Program using Matching Method: Case of IFLS 5

JEJAK ◽  
2018 ◽  
Vol 11 (1) ◽  
pp. 207-223
Author(s):  
Endiarjati Dewandaru Sadono
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Family Life ◽  
Household Income ◽  
Impact Evaluation ◽  
Matching Method ◽  
Indonesia Family Life Survey ◽  
Small Benefit ◽  
Using Data ◽  
The Impact

Beras untuk Keluarga Miskin (RASKIN) program has been applied since 1998 and has been renamed as Beras Sejahtera (RASTRA) in early 2017, but their effectiveness is still debatable. This study tries to evaluate the impact of RASKIN program on household income. Using data from 3,745 households in Indonesia Family Life Survey (IFLS) 5 that has been estimated using propensity score matching, this study has identified precisely that RASKIN program has a negative and significant effect on household income. This happens because the benefits that reveived by Rumah Tangga Sasaran (RTS) are very small. The small benefit is affected by the amount of rice received, frequency and price that have been paid to get RASKIN is not in accordance with the guidelines. The result of this study is along with previous studies, where the amount and price of rice that distributed through RASKIN program is not exactly correct. Therefore, there must be a change in program format, not just renaming from RASKIN to RASTRA only.

Internet Incidence on SME’s Sales

2014 ◽  
pp. 175-190
Author(s):  
María Verónica Alderete
Keyword(s):  
Logit Model ◽  
Internet Access ◽  
The Internet ◽  
Internet Adoption ◽  
Adoption Decision ◽  
The Public ◽  
Binary Logit Model ◽  
Dichotomous Variable ◽  
The Impact ◽  
Matching Techniques

The purpose of this paper is to determine how much is the “bonus” or “prize” to the sales per worker of Internet-using firms compared to not Internet-using firms. The authors employ some matching techniques based on an Argentinean database. The authors first present a binary logit model, in which the dependent variable is a dichotomous variable equal to 1 if the firm adopted Internet and 0 otherwise, to evaluate the factors that influence a firm’s probability of adopting Internet. A propensity score matching (PSM) model is then used to assess the impact of using Internet on the sales per worker. The authors find statically significant differences in the sales average between firms that are similar in many dimensions such as location, size, and sales market except for the Internet adoption decision. By probing that Internet access improves SME’s sales, the chapter is validating the Public Sector ICT modernization programs for SME. The contribution of this paper consists of using a well known technique as PSM to analyze a recent field of research which is the contribution of Internet adoption to the firm’s sales per worker.

Publicly Available Computers

Cyber Crime ◽  
2013 ◽  
pp. 1220-1244
Author(s):  
A.D. Rensel ◽  
J.M Abbas ◽  
H.R. Rao
Keyword(s):  
Full Range ◽  
Internet Access ◽  
The Internet ◽  
User Characteristics ◽  
Web Based ◽  
Access Barrier ◽  
Wide Range ◽  
Use Of The Internet ◽  
The Impact ◽  
Public Environment

Businesses and governments continue to expand the use of the internet to access and provide a wide range services to consumers. This change in service delivery presents a potential access barrier for people who do not have access to the internet available in their homes. Publicly available computers attempt to bridge this gap; however, it is not clear if people are willing to use computers in these environments to engage in the full range of web-based activities, particularly online transactions. We expand Triandis’ modified TRA model to consider user characteristics and the impact of the physical and virtual environment on public transactional use of websites. Results indicate that people are sensitive to the physical environment surrounding the computer and that Internet self-efficacy supports public transactional use while individual need for privacy deters transactional use in a public environment. In addition, people without personal internet access do complete transactions at other non-public locations and that completing transactions from non-public locations is a strong determinant of public transactional use.

scholarly journals Investigating the impact of Computer Supported Collaborative Learning (CSCL) to help improve reading comprehension in low performing urban elementary schools

2019 ◽  
Vol 25 (3) ◽  
pp. 1571-1584 ◽  
Author(s):  
Natalia Vega ◽  
James Stanfield ◽  
Sugata Mitra
Keyword(s):  
Reading Comprehension ◽  
Elementary Schools ◽  
Collaborative Learning ◽  
Grade Level ◽  
Internet Access ◽  
Fourth Grade ◽  
The Internet ◽  
Computer Supported Collaborative Learning ◽  
Urban Elementary Schools ◽  
The Impact

Abstract In the United States, literacy rates vary between socio-economic groups, and this reading gap is also a common feature in the education systems of OECD member states. To help address this reading gap previous research has identified a number of teaching strategies that have a positive impact on student learning outcomes, including the use of peer collaboration and complex texts. However, the contribution of Computer Supported Collaborative Learning to help address the reading gap for students attending low performing urban elementary schools has, to date, received much less attention and little is known about the ability of young students with access to the Internet to read complex texts in groups and how this impacts on individual reading comprehension scores. This study therefore examines the impact of combining the use of complex texts, collaborative learning and access to the internet on the reading comprehension scores of 58 fourth-grade students (ages 10-11). The students met once a week for an hour over six consecutive weeks and read under the following three conditions: eighth grade level texts independently, eighth grade level texts in groups with internet access and fourth grade level texts in groups with internet access. Our findings demonstrate that groups of young students with access to the internet are capable of reading complex texts with minimal teacher intervention. We also believe that this approach has the potential to help students develop both their offline and online reading comprehension skills.

scholarly journals Measuring the Effect of the Internet on Economic Growth: The Case of Saudi Arabia

2020 ◽  
Vol 12 (12) ◽  
pp. 61
Author(s):  
Hisham J. Bardesi
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Saudi Arabia ◽  
Internet Access ◽  
Ordinary Least Squares ◽  
The Internet ◽  
Macroeconomic Performance ◽  
The Impact

The purpose of this study is to examine and assess the impact of the Internet on economic growth in Saudi Arabia. Various studies show that there is a relationship between the growth rate of GDP and the Internet, as estimated by Internet user numbers. In this paper, the ordinary least squares (OLS) model is utilized to study the economic impact of Internet Access from 1994 to 2018, which has had a profound effect on the market structure of many sectors and Saudi’s global macroeconomic performance. The study constructs a model to investigate any significant impact of the Internet on the Saudi economy. Finally, this paper suggests that an understanding of the role of the Internet is essential for policymakers who plan to promote new forms of economic growth in the future. To take a long-term view implies working on technologies that could improve the economy and people’s lives by creating a technological ecosystem in and around Saudi Arabia, along with other major economies.

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