nep-ict New Economics Papers
on Information and Communication Technologies
Issue of 2018‒11‒26
nine papers chosen by
Walter Frisch
Universität Wien

  1. The Application of Power BI in Planning for New Students Application in the Post-graduate Programs of Suan Sunandha Rajabht University, Thailand By Suwannee Punsiri
  2. Dynamic Interbank Network Analysis Using Latent Space Models By Fernando Linardi; Cees Diks; Marco van der Leij; Iuri Lazier
  3. The impact of e-wallet on informal farm entrepreneurship development in rural Nigeria By Joseph I. Uduji; Elda N. Okolo-Obasi; Simplice A. Asongu
  4. Inequality, ICT and Financial Access in Africa By Vanessa S. Tchamyou; Guido Erreygers; Danny Cassimon
  5. How big is Chinaâs digital economy? By Alicia Garcia-Herrero; Jianwei XU
  6. Fake News and Advertising on Social Media: A Study of the Anti-Vaccination Movement By Lesley Chiou; Catherine Tucker
  7. Satisfaction of Graduate School Students toward access on the Graduate School website of Suan Sunandha Rajabhat University By Tawatpupisit Pattaradapa; Worathep Narkwong; Nutcha Phasuk
  8. Rebel Capacity, Intelligence Gathering, and the Timing of Combat Operations By Sonin, Konstantin; Wilson, Jarnickae; Wright, Austin
  9. Consumer Engagement in Energy Markets: The Role of Information and Knowledge By He, X.; Reiner, D.

  1. By: Suwannee Punsiri (Suan Sunandha Rajabhat University)
    Abstract: The primary objective of this research was to develop the decision support system for the Academic Section that helps with new student admission in the post-graduate programs of the Graduate School, Suan Sunandha Rajabhat University, Thailand. This decision support system is expected to help in the analysis of the possibility of the program application and it also provides clear guideline for related staff members to work. Moreover, it can help with the development and modification of the marketing strategies so that the university can compete with other universities more efficiently. In conducting this research, students? information in each program from the registration section of the Graduate School as well as the Academic Service Department of the university between 2013-2017 was gathered. The decision system was developed by utilizing Microsoft SQL Server 2016 which was used to collect and stored the students? information. Apart from that SQL Server Business Intelligence Development Studio in the part of Integration Service was used to retrieve, modify and enter the data in the ETL process. Then, the data were examined for their relationship via Analysis Service. The result of this research was a data cube in which multiple dimensions of information can be retrieved and the Business Intelligence Program, known as ?Power BI? which could present report in a form of a dashboard via internet. With these innovations, the university administrators could view the overall data. This study also evaluated satisfaction towards the use of this program from ten users and found that they were satisfied with its capability in supporting the decision, its accuracy and its function. The overall satisfaction was rated at a high level with a mean score of 4.07 and standard deviation of 0.64.
    Keywords: Database, Business Intelligence
    JEL: Y80
    Date: 2018–11
  2. By: Fernando Linardi; Cees Diks; Marco van der Leij; Iuri Lazier
    Abstract: Longitudinal network data are increasingly available, allowing researchers to model how networks evolve over time and to make inference on their dependence structure. In this paper, a dynamic latent space approach is used to model directed networks of monthly interbank exposures. In this model, each node has an unobserved temporal trajectory in a low-dimensional Euclidean space. Model parameters and latent banks' positions are estimated within a Bayesian framework. We apply this methodology to analyze two different datasets: the unsecured and the secured (repo) interbank lending networks. We show that the model that incorporates a latent space performs much better than the model in which the probability of a tie depends only on observed characteristics; the latent space model is able to capture some features of the dyadic data, such as transitivity, that the model without a latent space is not able to
    Date: 2018–11
  3. By: Joseph I. Uduji (University of Nigeria, Nsukka, Nigeria); Elda N. Okolo-Obasi (University of Nigeria, Nsukka, Nigeria); Simplice A. Asongu (Yaoundé, Cameroon)
    Abstract: Transforming agriculture from a largely subsistence enterprise to a profitable commercial venture is both a prerequisite and a driving force for accelerated development and sustainable growth in sub-Saharan Africa. The objective of this investigation is to assess the impact of the Federal Government of Nigeria (FGN) e-wallet programme on informal farm entrepreneurship development in rural Nigeria. Informal sector farmers are those that are not legally registered at the national level though could be connected to a registered association. The research is motivated by the absence of literature focusing on the problem statement or objective of study. One thousand, one hundred and fifty-two rural farmers were sampled across the six geo-political zones of Nigeria. Results from the use of a bivariate probit model indicate that the mobile phone-based technology via the e-wallet programme is a critical factor that has enhanced farm entrepreneurship in rural Nigeria. However, results also show that the impact of mobile phones (as a channel to accessing and using modern agricultural inputs) is contingent on how mobile networks are able to link farmers who live in rural areas and work mainly in farming. The results suggest that increasing mobile phone services in rural Nigeria enhances farmers’ knowledge, information and adoption of improved farm inputs and by extension, spurs rural informal sector economic activities in sub-Saharan Africa. Implications for practice, policy and research are discussed.
    Keywords: Informal sector’s adoption, electronic wallet technologies, rural farmers’ entrepreneurship
    JEL: Q10 Q14 L96 O40 O55
    Date: 2018–01
  4. By: Vanessa S. Tchamyou (University of Antwerp, Belgium); Guido Erreygers (University of Antwerp, Belgium); Danny Cassimon (University of Antwerp, Belgium)
    Abstract: This study investigates the role of information and communication technology (ICT) on income inequality through financial development dynamics of depth (money supply and liquid liabilities), efficiency (at banking and financial system levels), activity (from banking and financial system perspectives) and size, in 48 African countries for the period 1996 to 2014. The empirical evidence is based on Generalised Method of Moments. While both financial depth and size are established to reduce inequality contingent on ICT, only the effect of financial depth in reducing inequality is robust to the inclusion of time invariant variables to the set of strictly exogenous variables. We extend the analysis by decomposing financial depth into its components, namely: formal, informal, semi-formal and non-formal financial sectors. The findings based on this extension show that ICT reduces income inequality through formal financial sector development and financial sector formalization as opposed to informal financial sector development and financial sector informalization. The study contributes at the same time to the macroeconomic literature on measuring financial development and responds to the growing field of addressing post-2015 Sustainable Development Goals (SDGs) inequality challenges by means of ICT and financial access.
    Keywords: Inequality; ICT; Financial development; Africa
    JEL: I30 L96 O16 O55
    Date: 2018–01
  5. By: Alicia Garcia-Herrero (Adjunct Professor, Department of Economics, Hong Kong University of Science and Technology; Chief Economist for Asia Pacific, NATIXIS; Institute for Emerging Market Studies , Hong Kong University of Science and Technology); Jianwei XU (Associate professor, Beijing Normal University)
    Abstract: This paper reviews international measures of the digital economy with those developed by Chinese officials and private sources. Given their lack of comparability, we use Chinaâs input and output and census data to come up with an internationally comparable estimate of Chinaâs size of the Information and Communication Technology (ICT) sector (the core of digital economy), both in terms of value added and employment. Based on the latest available statistics, our measurements indicate that Chinaâs digital economy is not bigger relative to the size of the Chinese economy than the OECD average, especially in terms of ICT employment. This finding, which might look striking based on the current perception of Chinaâs digital economy, masks large differences across regions (with Beijing, Guangdong and Shanghai ahead of the OECD average).
    Date: 2018–07
  6. By: Lesley Chiou; Catherine Tucker
    Abstract: Online sources sometimes publish information that is false or intentionally misleading. We study the role of social networks and advertising on social networks in the dissemination of false news stories about childhood vaccines. We document that anti-vaccine Facebook groups disseminate false stories beyond the groups as well as serving as an “echo” chamber. We also find that after Facebook's ban on advertising by fake new sites, the sharing of fake news articles on Facebook fell by 75% on Facebook compared to Twitter.
    JEL: L86
    Date: 2018–11
  7. By: Tawatpupisit Pattaradapa (Suan Sunandha Rajabhat University); Worathep Narkwong (Suan Sunandha Rajabhat University); Nutcha Phasuk (Suan Sunandha Rajabhat University)
    Abstract: This research aims to: studied the satisfaction level of graduate school students toward access on Graduate School website of Suan Sunandha Rajabhat University. This study used a quantitative research approach. The research sample consisted of 132 individuals including graduate and post graduate students of Suan Sunandha Rajabhat University. The sample was obtained by simple random sampling. A questionnaire was used as a data collection method. The data were then analyzed by descriptive and inferential statistics. The research results showed that: the sampling has knowledge and understand on computer in middle level. In the same time, satisfaction level of these students almost to access on Graduate School website of Suan Sunandha Rajabhat University in middle level. The sampling satisfaction to access the information from graduate school in middle level. But satisfaction on the public relation in high level. And satisfaction on academic data in high level. Moreover, other information such as web board or recommendation almost in middle level of the satisfaction. Conclude that in the holistic, almost of the samplings to access this website are in middle level.
    Keywords: Satisfaction, Graduate students, Graduate School, Suan Sunandha Rajabhat University
    JEL: Y80
    Date: 2018–11
  8. By: Sonin, Konstantin; Wilson, Jarnickae; Wright, Austin
    Abstract: Classic theories of counterinsurgency claim rebel forces execute attacks in an unpredictable manner to limit the government's ability to anticipate and defend against them. We study a model of combat and information-gathering during an irregular insurgency. We test empirical implications of the model using newly declassified military records from Afghanistan that include highly detailed information about rebel attacks and counterinsurgent operations, including close air support missions, bomb neutralizations, and covert government-led surveillance activity. Our conflict microdata also include previously unreleased information about insurgent-led spy networks, where rebels monitor troop movement and military base activity, as well as military base infiltration and insider attacks. We couple these data with granular information on opium production and farmgate prices. Consistent with our simple theoretical model, we find that the capacity (wealth) of local rebel units influences the timing of their attacks. As rebels gather more resources, their attacks become temporally concentrated in a manner that is distinguishable from randomized combat. This main effect is significantly enhanced in areas where rebels have the capacity to spy on and infiltrate military installations. Taken together, these findings suggest economic shocks that increase the capacity of insurgents may influence the timing of rebel attacks through the acquisition of precise information about military weaknesses.
    Keywords: Civil War; counterinsurgency; economic shocks; rebel tactics; spy operations
    JEL: O1 P48
    Date: 2018–09
  9. By: He, X.; Reiner, D.
    Abstract: External information (e.g., monetary and opportunity costs, retailer messaging), internal information (e.g., consumer knowledge, information processing), and the interaction between different forms of information can affect consumer engagement in markets. We employ an analytical framework which embraces both economic and psychological motives behind consumer behavior to investigate the motives and obstacles associated with household behavior in energy markets, using data from over 18,000 randomly selected responses drawn from three annual surveys of British households commissioned by the UK energy regulator. Three forms of household engagement – switching to a new electricity and/or gas supplier, changing electricity or/and gas tariffs, and changing payment methods of energy bills – are explored using a multiple-discrete choice framework. We find that internal information pathways have robust and strong effects on switching suppliers and tariffs. Concretely, a lack of belief in tariff differences discourages participation in energy markets. By contrast, professed knowledge of household energy spending and familiarity with energy tariffs drives consumer engagement. External information – supplier messages and Internet information may enhance each other in promoting market participation, conditional on message source and participation form. We also find that engagement by incumbent retailers (such as through consumer messages) can be effective in discouraging households from switching suppliers.
    Keywords: Consumer switching; services market participation; household engagement; multivariate probit; UK retail gas and electricity markets; information and knowledge effects
    JEL: C25 D21 Q49 R29
    Date: 2018–11–07

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