scholarly journals Information and communication technology, inequality change and regional development in Indonesia

2021 ◽  
Vol 4 (2) ◽  
pp. 224
Author(s):  
Chusnul Faizah ◽  
Kyohei Yamada ◽  
Devanto Shasta Pratomo
Keyword(s):  
Linear Models ◽  
Kuznets Curve ◽  
Equal Distribution ◽  
Ict Use ◽  
Level Data ◽  
Non Linear ◽  
Level Of Economic Development ◽  
Information And Communication ◽  
Ict Infrastructure ◽  
The Relationship

Although the advancement of technology provides numerous opportunities to boost economic growth and development, equal distribution may not be guaranteed. Thus, this study seeks further elaboration as to whether ICT development has a role to play in the inequality in Indonesia. Using municipal level data from 2018, the study provides both linear and non-linear models to be estimated using OLS and 2SLS. Major findings include: (i) the availability of basic ICT infrastructure is strongly linked to the reduction of inequality; (ii) the actual ICT use is positively associated with inequality, albeit at a diminishing rate, revealing a non-linear relationship similar to Kuznets' curve; (iii) the ICT skill variable comprising the education level has direct correlation with ICT use instead of inequality, with an additional score on ICT skill being associated with an increase in ICT use; (iv) the relationship between ICT use and inequality differed depending on the level of economic development, with lower-income regions experiencing the inverted U-shaped relationship as in the original Kuznets curve and higher-income regions experiencing the U-shaped curve.JEL Classification:  D63; I24; O10

scholarly journals Output and pollution abatement in a U.S. state emission function

2019 ◽  
Vol 25 (1) ◽  
pp. 44-65 ◽  
Author(s):  
Neophyta Empora ◽  
Theofanis P. Mamuneas ◽  
Thanasis Stengos
Keyword(s):  
Environmental Kuznets Curve ◽  
Policy Making ◽  
Driving Forces ◽  
Pollution Abatement ◽  
State Level ◽  
Kuznets Curve ◽  
Nonlinear Relationship ◽  
Level Data ◽  
The Relationship ◽  
Emission Function

AbstractUsing U.S. state-level data for the period 1973–1994, this study models the relationship between emissions, output and pollution abatement by defining an emissions function, in a manner that is consistent with the residual (emissions) generation mechanism and firms' optimizing behavior. It thus accounts for factors that were previously unaccounted for or addressed only individually. Applications using this comprehensive setting can offer more informed insights for policy-making, something that is particularly useful for developing countries that face the environmental degradation that comes together with the benefits of economic growth. Using nonparametric econometric techniques as well as threshold regression, the empirical results show that there is a positive nonlinear relationship between emissions and output, rejecting an inverted-U type of relationship between the two (the Environmental Kuznets Curve, or EKC). In the absence of abatement the relationship turns around, verifying the arguments in the literature that abatement is one of the driving forces for an EKC to emerge.

scholarly journals Do Carbon Emissions and Economic Growth Decouple in China? An Empirical Analysis Based on Provincial Panel Data

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2411 ◽  
Author(s):  
Yu Hao ◽  
Zirui Huang ◽  
Haitao Wu
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Panel Data ◽  
Carbon Emissions ◽  
Environmental Kuznets Curve ◽  
Kuznets Curve ◽  
Ekc Hypothesis ◽  
Capita Gross Domestic Product ◽  
Level Of Economic Development ◽  
The Relationship

Global warming has emerged as a serious threat to humans and sustainable development. China is under increasing pressure to curb its carbon emissions as the world’s largest emitter of carbon dioxide. By combining the Tapio decoupling model and the environmental Kuznets curve (EKC) framework, this paper explores the relationship between China’s carbon emissions and economic growth. Based on panel data of 29 provinces from 2007 to 2016, this paper quantitatively estimates the nexus of carbon emissions and economic development for the whole nation and the decoupling status of individual provinces. There is empirical evidence for the conventional EKC hypothesis, showing that the relationship between carbon emissions and per capita gross domestic product (GDP) is an inverted U shape and that the inflection point will not be attained soon. Moreover, following the estimation results of the Tapio decoupling model, there were significant differences between individual provinces in decoupling status. As a result, differentiated and targeted environmental regulations and policies regarding energy consumption and carbon emissions should be reasonably formulated for different provinces and regions based on the corresponding level of economic development and decoupling status.

Firm Heterogeneity in the Choice of Offshoring: Evidence from Korean Manufacturing Firms

2010 ◽  
Vol 9 (1) ◽  
pp. 157-178 ◽  
Author(s):  
Hea-Jung Hyun
Keyword(s):  
Information And Communication Technology ◽  
Communication Technology ◽  
Firm Heterogeneity ◽  
Global Sourcing ◽  
Foreign Markets ◽  
Firm Level ◽  
Intensity Information ◽  
Level Data ◽  
Information And Communication ◽  
The Relationship

Using firm-level data on offshoring of Korean manufacturers, this paper examines the relationship between firm heterogeneity and the probability of adopting offshoring. The results of the paper suggest that firm productivity may not be an important determinant for Korean firms' offshoring decision. A firm's global sourcing decision may rather depend on other characteristics such as factor intensity, research and development (R&D) intensity, information and communication technology (ICT) level, and affiliation with foreign markets when industry specificity is controlled for.

ICT, infrastructure, and tourism development in Africa

2019 ◽  
Vol 26 (1) ◽  
pp. 97-114 ◽  
Author(s):  
Ogechi Adeola ◽  
Olaniyi Evans
Keyword(s):  
Tourism Development ◽  
Region Of Origin ◽  
Dynamic Panel ◽  
Habit Persistence ◽  
Infrastructural Development ◽  
Information And Communication ◽  
Ict Infrastructure ◽  
The Relationship ◽  
Positive Effect ◽  
Relevant Factors

This study examines the relationship between information and communication technology (ICT), infrastructure, and tourism development in Africa between 1996 and 2016 using a dynamic panel gravity model. Our findings show that ICT and infrastructure have a positive, statistically significant relationship with tourism development; as ICT and infrastructure increase, the level of tourist arrivals also increases. This study also identifies relevant factors including bilateral real exchange rate and gross domestic product per capita of the origin countries, suggesting a major role for the variables measured in the region of origin and for those that serve as a comparison between origin and destination. The effect of distance is statistically significant and negative: countries farthest from the origin countries generate less tourism demand, given the higher transportation costs. Repeat tourism (or habit persistence) and natural resources show a significant and positive effect on tourism development. Overall, the empirical results provide evidence that ICT and infrastructural development have opened huge opportunities for growing and strengthening tourism in Africa.

scholarly journals Pengaruh Modal Teknologi Informasi Dan Komunikasi Terhadap Kinerja Inovasi

2019 ◽  
Vol 29 (2) ◽  
pp. 727
Author(s):  
Pungki Andriani Setiadi ◽  
I Made Narsa
Keyword(s):  
Information And Communication Technologies ◽  
Communication Technologies ◽  
Partial Least Square ◽  
Innovation Performance ◽  
Least Square ◽  
Manufacturing Companies ◽  
Information And Communication ◽  
Ict Infrastructure ◽  
Ict Training ◽  
The Relationship

This study aims to investigate the relationship between Information and Communication Technologies (ICT) on innovation performance. Information and Communication Technologies consist of ICT Infrastructure, ICT Personnel, ICT Training, and ICT Department. This research method uses descriptive quantitative method with a questionnaire as a method of data acquisition. The subjects of this study were 70 respondents taken by random sampling method from various manufacturing companies in Surabaya. Data analysis techniques using Partial Least-Square (PLS). The results of this study indicate that ICT Infrastructure and ICT Training have a significant effect on innovation performance. Meanwhile, ICT Personnel and ICT Department did not significantly influence innovation performance. Keywords : ICT Infrastructure; ICT Personnel;  ICT Training; ICT Department; Innovation Performance.

The influence of risks on the outturn cost of ICT infrastructure network projects

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Khalid Almarri ◽  
Halim Boussabaine ◽  
Hamad Al Nauimi
Keyword(s):  
High Speed ◽  
Data Networks ◽  
Content Type ◽  
Infrastructure Network ◽  
Information And Communication ◽  
Project Risks ◽  
High Speed Data ◽  
Ict Infrastructure ◽  
The Relationship ◽  
Network Project

Purpose The internet of things (IoT) is becoming an increasingly inescapable part of society. IoT paradigm cannot function without the networking infrastructure. High-speed data networks are essential to enable the IoT future. Thus, the purpose of this study is on the identification of risks that influence the development, installation and operation of information and communication technology (ICT) infrastructure network project cost outcomes. So far, there has been little attention has been paid to risks problems in these types of IoT enabling projects. Design/methodology/approach This research follows a quantitative analysis approach. Data for this study were collected by a survey from 209 professionals. Multiple regression analysis was used to model the relationship between risks and outturn cost of infrastructure needed to enable the operation of IoT technologies. Findings The main risk factors that were identified were planning and development, people and management, operations, technology and hardware. Research limitations/implications This research has expanded the existing literature by documenting and clustering ICT infrastructure network project risks into themes, and has developed a scale (risk statements) for measuring such risks. Further, the research has advanced the understanding by identifying the most likely risks that will contribute to the overrun of these projects. Originality/value This research establishes a reliable regression method for the assessment of the risks that influence the development, installation and operation of ICT infrastructure network projects outturn cost. No other research has measured or studied the risks in this type of project.

E-Government and Corruption: A Cross-Country Survey

2014 ◽  
Vol 10 (2) ◽  
pp. 217-236 ◽  
Author(s):  
Jin-Wook Choi
Keyword(s):  
Government Regulation ◽  
Positive Influence ◽  
Size Of Government ◽  
Country Level ◽  
Telecommunication Infrastructure ◽  
Level Data ◽  
Level Of Economic Development ◽  
Ict Infrastructure ◽  
The Impact ◽  
Three Components

AbstractThis article aims to examine the effect of e-Government on corruption. Although e-Government in public administration has been studied in the context of efficiency enhancement, recent research has shed light on the causality between e-Government and corruption. However, the majority of previous studies have focused on one-country or anecdote-based analysis of which the results are not generalizable. Analyzing country-level data, this article attempts to provide a basis for a broader generalization regarding the impact of e-Government on corruption. Through controlling traditional causes of corruption such as the level of economic development, the size of government, and the degree of government regulation, the results of the empirical analysis of this article show that e-Government has a positive influence on corruption reduction. Considering that the notion of e-Government is broad in terms of areas and ranges, this article breaks down e-Government into the three components of telecommunication infrastructure, online participation, and online services. These three components are connected conceptually with ICT infrastructure, and transparency, accountability and empowerment driven by e-Government. Empirical results confirm that these three e-Government dimensions have a statistically significant influence on corruption. Findings suggest that e-Government can be regarded as a pragmatic anti-corruption strategy in the sense that most governments are eager to adopt e-Government systems.

scholarly journals Fitting Linear and Non Linear Growth Models for Selected Plantations in Omo Forest Reserve Southwestern Nigeria

2020 ◽  
pp. 19-29
Author(s):  
E. T. Adedeji ◽  
A. S. Akinbowale ◽  
O. A. Akinbode
Keyword(s):  
Linear Models ◽  
Tectona Grandis ◽  
Pinus Caribaea ◽  
Southwestern Nigeria ◽  
Forest Reserve ◽  
Diameter At Breast Height ◽  
Breast Height ◽  
Non Linear ◽  
Nauclea Diderrichii ◽  
The Relationship

This study was conducted to assess the suitability of forest models in Tectona grandis, Pinus caribaea and Nauclea diderrichii stands at Omo forest reserve, Ijebu East, Ogun State, Southwestern Nigeria. Temporary sample plots of equal size (25 m x 25 m) were laid while complete enumeration were carried out in each sampled plot and tree growth variables such as diameter at breast height (dbh), diameter at the top (dt), diameter at the middle (dm) and diameter at the base (db) as well as total height of all trees were measured. Simple linear models and six non linear models were developed and assessed for the selected plantation. The linear model developed _ R-squared ranged from 77% to 93%. The least R- square was obtained in Tectona grandis plantation and the highest was obtained in 93% Pinus caribaea. All the models have high F values ranging from 234.71 to 2965.40. In Tectona grandis plantation, Logistic power model, gave a good fit in describing the relationship between diameter at breast height and volume with AICC values of -2368.92, 0.22 each. The Sigmond models that gave a good fit in describing the relationship between the diameter at breast height and volume in Pinus caribaea were Weibull model (-719.19, 0.09) while Gompertz relation is the best for Nauclea diderrichii, respectively. The various models generated in the study are highly recommended for use in estimating the growth characteristics of the plantation in the future.

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