scholarly journals The impact of digital technology usage on economic growth in Africa

2020 ◽  
Vol 67 ◽  
pp. 101104 ◽  
Author(s):  
Edna Maeyen Solomon ◽  
Aaron van Klyton
Author(s):  
Nopriadi Saputra ◽  
Glenaldo E. Hutajulu ◽  
Wandha A.S. Hidayat ◽  
Ruth T. Sinaga

Millennial generation in Indonesia is on the strategic position. As the fourth most populous country in the world, Indonesia is faced with the demographic bonus phenomenon. This socio-demographic phenomenon can be a momentum for accelerating economic growth dan getting out from the middle-class trap. In 2020, the millennials are in 20 to 40 years old and become the backbone for economic growth. The millennials reach around 88 million people. It's about 33.75% of the Indonesia population. The millennials have unique generational characteristics, especially in working-at-office environment. They have productive characteristics, such as: familiar with digital technology, collaborative working style, and love to learn new things. On the other hand, millennials have the contra-productive ones, such as: easily get stressed, less engaged, and impatient to wait for the process. Based on those facts, this study aimed to examine the impact of individual, group, and organisational antecedents on millennials' holistic work engagement. This study tried to answer "does coping stress of millennials, digital leadership of direct supervisor, and learning culture have positive impact significantly on holistic work engagement? Keywords: coping stress, digital leadership, learning culture, work engagement


2020 ◽  
Vol 14 (2) ◽  
pp. 195-214
Author(s):  
Muhammad Rizal Taufikurahman ◽  
Ahmad Heri Firdaus

Abstrak Kehadiran ekonomi digital sebagai bagian dari revolusi industri 4.0 yang telah membuka peluang baru dalam bidang perdagangan dan menjembatani kepentingan produsen, konsumen, dan pasar tanpa dibatasi ruang dan waktu. Tujuan penelitian ini adalah menganalisis dampak pemanfaatan teknologi digital pada sektor perdagangan terhadap produktivitasnya, penyerapan tenaga kerja dan pertumbuhan ekonomi. Metode analisis yang digunakan adalah metode analisis model Computable General Equilibrium (CGE) dinamik. Hasil analisis menunjukkan digitalisasi di sektor perdagangan meningkatkan jumlah outputnya sebagai produktivitas jangka pendek dan panjang. Adapun dampak terhadap penyerapan tenaga kerja di perkotaan dan pedesaan menurunkan jenis pekerjaan tertentu pada periode analisis terutama tenaga kerja terampil rendah. Selanjutnya dampak terhadap GDP riil meningkat pada periode analisis. Kebijakan yang direkomendasikan adalah perlu perbaikan akurasi dan validitas database produk-produk yang kompetitif, strategi antisipatif untuk tenaga kerja yang terdistrupsi, pelayanan perizinan akses semakin mudah, optimalisasi aplikasi teknologi digital dalam tata kelola perdagangan, dan perbaikan sarana prasarana informasi dan teknologi. Kata Kunci: Teknologi Digital, Produktivitas, Tenaga Kerja, Pertumbuhan Ekonomi   Abstract The presence of a digital economy as part of the industrial revolution 4.0 has opened up new opportunities in trade and bridged the interests of producers, consumers, and markets without being constrained by time and space. The study aims to analyze the impact of digital technology utilization on the trade sector on its productivity, labor, and economic growth. The analysis method used is the Dynamic Computable General Equilibrium (CGE) model. The analysis results show that digitalization in the trade sector increases output as productivity in the short and long term. The impact on labor in urban and rural areas reduces certain types of work in the analysis period, especially low skilled labor. Furthermore, during the analysis period, the impact on real GDP increases. The recommended policy is to improve the accuracy and validity of competitive products' database, anticipatory strategies for labor that have disrupted, easier access licensing services, optimization of digital technology applications in trade governance, and improvement of information and technology infrastructure. Keywords: Digital Technology, Productivity, Labor, Economic Growth JEL Classification: F12, F13, F15


2017 ◽  
pp. 22-39 ◽  
Author(s):  
M. Ivanova ◽  
A. Balaev ◽  
E. Gurvich

The paper considers the impact of the increase in retirement age on labor supply and economic growth. Combining own estimates of labor participation and demographic projections by the Rosstat, the authors predict marked fall in the labor force (by 5.6 million persons over 2016-2030). Labor demand is also going down but to a lesser degree. If vigorous measures are not implemented, the labor force shortage will reach 6% of the labor force by the period end, thus restraining economic growth. Even rapid and ambitious increase in the retirement age (by 1 year each year to 65 years for both men and women) can only partially mitigate the adverse consequences of demographic trends.


Author(s):  
Oleksandr Synenko ◽  
Kateryna Yarema ◽  
Yuliia Bezsmertna

The subject of the research is the approach to the possibility of using the Solow model to perform the regression analysis on the example of the Ukrainian economy model. The purpose of writing this article is to investigate the notion of regres- sion analysis, Solow’s economy model, algorithm for performing regression analy- sis on the example of Ukraine’s economy model. This model can be adapted for the economy of enterprises. Methodology. The research methodology is system-struc- tural and comparative analyzes (to study the structure of GDP); monograph (when studying methods of regression analysis on the example of the Ukrainian economy); economic analysis (when assessing the impact of factors on Ukraine’s GDP). The scientific novelty consists the features of the use of the Solow model on the ex- ample of Ukrainian economy are determined. An algorithm for calculating the basic parameters of a model using the Excel application package is disclosed. The main recommendations on the development of the national economy and economic growth through the use of macroeconomic instruments are given. Conclusions. The use of the Solow model enables forecasting and analysis. The results obtained re- vealed the problem of low resource return of capital as a resource, along with the means of macroeconomic regulation of the investment process, using which can improve the situation. A special place in these funds belongs to the accelerated depreciation and interest rate policies.


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