nep-ict New Economics Papers
on Information and Communication Technologies
Issue of 2020‒07‒27
nine papers chosen by
Marek Giebel
Universität Dortmund

  1. Cloud Computing and Firm Growth By Timothy DeStefano; Richard Kneller; Jonathan Timmis
  2. Urban Growth and Convergence Dynamics after COVID-19 By Stefano Magrini; Marco Di Cataldo; Margherita Gerolimetto
  3. Where Should We Go? Internet Searches and Tourist Arrivals By Serhan Cevik
  4. Automation and the Future of Work By Stuart Andreason
  5. The Role of Satisfaction in Mediating the Effect of e-Service Convenience, Security, and Trust on Repurchase Intention in the Marketplace Case study: Shopee Marketplace By Juniwati
  6. How far are OECD countries from achieving SDG targets for women and girls?: Applying a gender lens to measuring distance to SDG targets By OECD
  7. Sources of knowledge flow between developed and developing nations By Florian Seliger; Gaéran de Rassenfosse
  8. How to Design a Financial Management Information System; A Modular Approach By Gerardo Uña; Richard I Allen; Nicolas M Botton
  9. Types of Innovation and Firm performance By Michele Cincera; Ela Ince

  1. By: Timothy DeStefano; Richard Kneller; Jonathan Timmis
    Abstract: Cloud computing enables a shift in the costs of ICT adoption from investment in fixed capital to pay-on-demand services allowing firms to scale and reorganize. Using new firm-level data we examine the impact of cloud on firm growth, using zip-code-level instruments of the timing of high-speed fiber availability and speeds. Cloud leads to the growth of employment and revenue for young firms, but they become concentrated in fewer establishments. For incumbents, we find smaller scale effects but dispersed activity through closing establishments and moving employment farther from the headquarters. Moreover, cloud adoption leads to worker relocation across establishments within firms.
    Keywords: cloud, digital, productivity, firms
    JEL: J23 J24 L20 O33
    Date: 2020
  2. By: Stefano Magrini (Department of Economics, University Of Venice Cà Foscari); Marco Di Cataldo (Department of Economics, University Of Venice Cà Foscari); Margherita Gerolimetto (; Department of Economics, University Of Venice Cà Foscari)
    Abstract: Internet and near-instant communication services have had a strong impact on the way people communicate and exchange information since the end of the 1990s. The COVID-19 pandemic shock is likely to provide a dramatic boost to this phenomenon. In the world that will emerge from lockdown, digital communication and videoconferencing will be integral part of daily working and social life to a much higher extent than before. This will have a disproportionally strong impact on knowledge based activities, and therefore on research. This paper presents a theoretical model of endogenous economic growth with the aim of providing hints on the possible consequences of the COVID-19 pandemic shock on income per capita growth and disparities within a system of integrated urban areas. In the model, abstract technological knowledge flows at no cost across space. In contrast, flows of tacit knowledge arise from the interaction between researchers and hence tends to be hampered by distance. Within this framework, the diffusion of broadband technology, high-speed connections and videoconferencing takes the form of a reduction of the “cost of distance” for flows of tacit knowledge. This reinforces productive specialization that, in turn, yields an increase in the system-wide, common growth rate and an increase in income per capita disparities across areas. On the other hand, social distancing is likely to yield an asymmetric negative impact on the productivity of urban research systems thus leading to a decrease in the growth rate.
    Keywords: COVID-19, social distancing, videoconferencing, innovation, growth, disparities
    JEL: O31 O41 O51 R12
    Date: 2020
  3. By: Serhan Cevik
    Abstract: The widespread availability of internet search data is a new source of high-frequency information that can potentially improve the precision of macroeconomic forecasting, especially in areas with data constraints. This paper investigates whether travel-related online search queries enhance accuracy in the forecasting of tourist arrivals to The Bahamas from the U.S. The results indicate that the forecast model incorporating internet search data provides additional information about tourist flows over a univariate approach using the traditional autoregressive integrated moving average (ARIMA) model and multivariate models with macroeconomic indicators. The Google Trends-augmented model improves predictability of tourist arrivals by about 30 percent compared to the benchmark ARIMA model and more than 20 percent compared to the model extended only with income and relative prices.
    Keywords: Real effective exchange rates;Economic growth;Economic forecasting;Real exchange rates;Personal income;Forecasting,tourist arrivals,Google Trends,time-series models,WP,ARIMA,tourist arrival,autoregressive,forecast model,time-series
    Date: 2020–01–31
  4. By: Stuart Andreason
    Abstract: There are numerous reports that highlight potential effects that new technology will have on the U.S. labor market, and many of them are not exactly what you would expect. For example, with the advent of the internet and ubiquity of spreadsheets in the 1980s, analyst employment soared. The new technology unlocked latent demand for more analysis that had been simply too expensive before the new communication and productivity technologies became common. The need for more analysis led to more analysts…even though there were new technologies that made the work more efficient or productive.
    Keywords: Automation
    JEL: J21
    Date: 2019–03–27
  5. By: Juniwati (Faculty Economic and Business. Universitas Tanjungpura, Pontianak, Indonesia Author-2-Name: Sumiyati Author-2-Workplace-Name: Universitas Muhammadiah Pontianak, Indonesia Author-3-Name: Author-3-Workplace-Name: Author-4-Name: Author-4-Workplace-Name: Author-5-Name: Author-5-Workplace-Name: Author-6-Name: Author-6-Workplace-Name: Author-7-Name: Author-7-Workplace-Name: Author-8-Name: Author-8-Workplace-Name:)
    Abstract: Objective - The development of information technology that encourages the rise of online buying and selling has opened opportunities for market participants. This requires satisfying services for customers by every market participant. Shopee is one of the biggest marketplace actors in Indonesia. The purpose of the study is to estimate the factors that influence consumers' intention to buy back at Shopee's marketplace. Methodology/Technique - The mediation variable used is satisfaction. The research sample consists of 200 respondents, who are Shopee consumers in Pontianak, Indonesia. Findings - The findings of this study are there is a positive and significant effect between E-Service convenience and Satisfaction variables (ß = 0.390) and Repurchase Interest (ß = 0.355), E-Trust variables also have a positive and significant effect on Satisfaction (ß = 0.437) and Interest Repurchase (ß = 0.386). Satisfaction has a positive and significant effect on Repurchase Intention with (ß = 0.483). Type of Paper - Empirical
    Keywords: Satisfaction; e-Service Convenience; Security; Trust; Repurchase Intention.
    JEL: M31 M13 M39
    Date: 2020–06–30
  6. By: OECD
    Abstract: The Sustainable Development Goals (SDGs) call to achieve peace and prosperity for all by 2030, leaving no one behind. This paper summarises available evidence to measure the distance that OECD countries need to travel in order to reach SDG targets related to women and girls. It finds that 102 of the 247 indicators in the UN Global Indicator Framework are gender-related. However, in practice, data for OECD countries are available for only 35 indicators, distributed across 9 of the 17 goals. Based on available data, OECD countries are on average closest to meeting targets for women on Health (Goal 3), mortality from homicides and occupational injuries (Goals 16 and 8). Conversely, they are further away from targets in three areas: personal safety (Goal 16), equal representation (Goals 9 and 5) and healthy life-styles (Goals 2 and 3). Where data is available for both men and women, the evidence shows that women are closer to SDG targets than men on all indicators related to Health (Goal 3), but are further away from targets in many employment-related targets (Goals 8 and 9) as well as on feeling safe (Goal 16) and ICT skills (Goal 4). No data are available for the planet goals (Goals 6, 12, 13, 14 and 15), for which few indicators are identified as gender-related.
    Keywords: gender, measurement, SDGs, Sustainable Development Goals
    JEL: J16
    Date: 2020–07–15
  7. By: Florian Seliger (KOF Swiss Economic Institute, ETH Zurich, Switzerland); Gaéran de Rassenfosse (EPFL Lausanne, Switzerland)
    Abstract: This paper provides a long-term view on the sources of knowledge flow between developed and developing nations. It relies on patent data to explore three potential sources: R&D collaboration, technology sourcing, and technology transfer. All three sources provide a very consistent message. First, knowledge flows with East Asia, particularly China, are occurring more frequently. Second, knowledge flows are increasingly concentrateded in information and communication technologies. Third, the United States & Canada had traditionally larger patenting activity with Asia than Europe, but the share of activity between Europe and Asia has been increasing in recent years. Fourth, larger patenting activity between the United States & Canada and Asia implies that the U.S./Canada region is more likely to benefit from reverse knowledge flows as China progresses towards becoming a technological leader.
    Keywords: international technology sourcing; R&D offshoring; R&D collaboration;technology transfer; patent
    JEL: E21 E32 D12 C22
    Date: 2019–02
  8. By: Gerardo Uña; Richard I Allen; Nicolas M Botton
    Abstract: A well-functioning financial management information system (FMIS) provides timely, reliable, and comprehensive reports that support implementation of the government’s fiscal policies and fiscal rules, and the formulating, controlling, monitoring, and executing of the budget. The architecture of FMISs has undergone a transformation since these systems were first developed in the 1980s. Rather than attempting to cover all or most public financial management (PFM) functions, many FMISs now focus on a few core functions such as accounting and reporting, budget execution, and cash management. Yet a survey of 46 countries shows that many face severe challenges in transforming their FMIS into an effective tool of fiscal governance. These challenges relate to weaknesses in the system’s core functions, its institutional coverage, the information technology platforms it uses, and the ease of sharing data with other IT systems. This How to Note discusses how to address these chal-lenges. Replacing an FMIS with an entirely new system may not be an optimal strategy. By utilizing the latest technology, a better approach may be to update or replace one or more core modules of the system: the so-called modular approach. Implementation of an effective FMIS, however, depends on two critical preconditions: strong political motivation and commitment, and the system’s ability to meet ongoing and anticipated PFM needs.
    Keywords: Financial management information systems;Financial Management Information Systems, fiscal policy, fiscal rules, accounting, reporting, budget execution, cash management
    Date: 2019–05–15
  9. By: Michele Cincera; Ela Ince
    Abstract: The paper brings together firm-level R & D spending information with patent information and aims to investigate the impact of different types of patented inventions on firm output growth performance controlling for R & D spending and other firm financials. We consider forward-looking indicators of breakthrough and general innovation, and backward-looking indicators of originality and radicalness in innovation activities. Firm performance is estimated through a Cobb-Douglas production function. We allow for non-linearity in relationship between innovation strategy and firm performance and we investigate sectoral heterogeneity looking at the impact in health industries and ICT producers. Models are estimated using two-stage least squares and generalised method of moments to control for potential endogeneity of innovation indicators. Our findings confirm non-linearity and sectoral heterogeneity in relationship between the different types of innovation and firm performance. While ICT producers are growing with breakthrough innovations, general-purpose technologies and, to a certain extend, with original and radical innovations, the growth of firms operating in health industries is not explained by breakthrough innovations nor by specific trend of feature of ICT and the choice of incremental innovation strategy by pharmaceutical and biotechnology firms
    Keywords: Breakthrough innovation, Generality, Originality, Radicalness, Firm growth
    Date: 2019–07

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