Inequalities of Indonesia’s regional digital development and its association with socioeconomic characteristics: a spatial and multivariate analysis

Kartiasih, Fitri; Nachrowi, Nachrowi Djalal; Wisana, I Dewa Gede Karma; Handayani, Dwini

doi:10.1080/02681102.2022.2110556

Cited by 16 publications

(7 citation statements)

References 76 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The target population comprised 773 pharmacy diploma students from two health polytechnic colleges in Jakarta and Bandung, Indonesia. The two regions were selected based on fast internet access and dynamic urban areas (Kartiasih et al, 2023). The inclusion criteria for participants were students who actively attended lectures in the year the research was conducted, had searched for health information online, and provided their consent as research respondents.…”

Section: Study Design and Respondentsmentioning

confidence: 99%

Exploring the relationship between e-health literacy and online health information-seeking behaviour among pharmacy students in Indonesia

Puspita,

Kurniawan,

Tias

2024

Pharm Educ

View full text Add to dashboard Cite

Background: Digital transformation has changed the health service system and how people search for health information. Digital health literacy provides basic knowledge that the prospective pharmacy workforce must have to provide comprehensive pharmacy service. Objective: This study aims to explore pharmacy students' eHealth literacy level and relate to their behaviour in accessing health information online. Methods: A cross-sectional survey was conducted on 314 pharmacy students at two pharmacy diploma schools in Jakarta and Bandung, Indonesia. A semi-structured questionnaire was administered to identify online health information-seeking behaviour and e-health literacy scores. Results: Out of 314 students, most were women (86.3%) and sophomores (43.3%). More than half have health applications installed on their smartphone and access health information online more than twice a week. There was a significant relationship between e-health literacy scores and student entry year (p = 0.000), the frequency of online health information-seeking practice (p = 0.001), and installed health apps on smartphones (p = 0.002). Conclusion: A future altered curriculum and the appropriate study materials on digital health must be implemented to equip pharmacy students with adequate skills before graduation.

show abstract

Section: Study Design and Respondentsmentioning

confidence: 99%

Exploring the relationship between e-health literacy and online health information-seeking behaviour among pharmacy students in Indonesia

Puspita,

Kurniawan,

Tias

2024

Pharm Educ

View full text Add to dashboard Cite

show abstract

“…China's provincial digital economy has a high probability of upward transfer, and has great potential for development (Luo and Zhou, 2022). Kartiasih et al (2023) revealed the spatial inequalities in the digital development of households and individuals at 460 districts/cities in Indonesia, with significant regional digital divide, however, narrowing from 2015 to 2019, indicating that Indonesian regions are becoming more digitally convergent. Lucendo-Monedero et al (2019) proposed the spatial inequalities of households and individuals in digital development in Europe at the regional level, i.e., the digital divide.…”

Section: Research On the Spatial DI Erences In The Digital Economymentioning

confidence: 99%

Reducing the “digital divide” to reap the “digital dividend”: spatial differences and convergence of the digital economy in cities of China

Han,

Song,

Chen

2024

Front. Sustain. Cities

View full text Add to dashboard Cite

Bridging the “digital divide” to benefit from the “digital dividend” reflects the inclusive development of the digital economy, which affects the sustainable development of the overall economy and society. Based on the different spatial perspectives of certain regions, city clusters, and cities, this study presents the “digital divide” and “digital dividend” for the development of China's digital economy. A combined entropy method was used to measure the development of the digital economy in cities of China from 2011 to 2019. The Dagum Gini coefficient and its decomposition were used to explore the spatial differences of the digital economy and their sources, while the coefficient of variation and the spatial panel model were used to examine the convergence of the digital economy. Our findings suggest that the development level of the digital economy in Chinese cities has continuously improved. Second, the spatial differences of the digital economy in the four regions and nine city clusters of China that were investigated are decreasing, indicating that the “digital divide” is narrowing and presenting a significant “digital dividend.” The total differences were mainly owing to those between the regions (among the city clusters). Third, the development of the digital economy in the four regions and nine city clusters demonstrated characteristics of σ, β, and club convergences. Finally, the evolution path of the spatial differentiation of the digital economy in cities of China is presented, and the “digital dividend” also demonstrates different stage characteristics. This study analyzed the spatial differences in the digital economy of cities in China and clarified the convergence and influence mechanisms of its development at different spatial scales. The findings provide a basis for the evolution of spatial and temporal patterns of the digital economy of cities in China and presents policy implications for promoting the regionally coordinated and sustainable development of the digital economy. Suggestions from the national and regional levels are more necessary to further narrow the “digital divide,” create a “digital dividend,” and digital drives sustainable economic development.

show abstract

“…Pekerja informal di Indonesia, termasuk pedagang kaki lima, pekerja rumah tangga, buruh tani, dan mereka yang berada di sektor informal, sering kali bekerja dalam kondisi rentan dengan sedikit atau tanpa jaminan pekerjaan atau tunjangan (Retnaningsih, 2020). Pekerja informal, terutama yang berpenghasilan rendah, tidak memiliki akses ke sistem perlindungan sosial membuat mereka sangat rentan terhadap guncangan dan kesulitan ekonomi (Kartiasih et al, 2023a;Kartiasih et al, 2023b). Situasi ini menghambat pencapaian pekerjaan yang layak dan memperparah ketimpangan di dalam negeri.…”

Section: Pendahuluanunclassified

Gambaran Pekerja Informal dan Faktor-Faktor yang Memengaruhinya di Indonesia Tahun 2022

Sibagariang,

Mauboy,

Erviana

et al. 2023

semnasoffstat

View full text Add to dashboard Cite

Penelitian ini bertujuan untuk melihat gambaran pekerja informal di Indonesia dan menganalisis faktor-faktor apa yang menjadi penentu persentase pekerja informal di Indonesia. Data yang digunakan adalah data hasil Survei Angkatan Kerja Nasional (Sakernas) dan Survei Sosial Ekonomi Nasional (Susenas) tahun 2022 yang diperoleh dari Badan Pusat Statistik (BPS). Metode penelitian yang digunakan analisis deskriptif dan analisis inferensia. Analisis inferensia menggunakan regresi linier berganda dengan metode Ordinary Least Square (OLS). Hasil penelitian menunjukkan bahwa persentase pekerja informal lebih besar dibandingkan persentase pekerja formal. Tingkat penyelesaian pendidikan dasar dan upah rata-rata per jam pekerja (buruh) signifikan menurunkan persentase pekerja informal. Sebaliknya, persentase penduduk miskin signifikan meningkatkan persentase pekerja informal.

show abstract

Inequalities of Indonesia’s regional digital development and its association with socioeconomic characteristics: a spatial and multivariate analysis

Cited by 16 publications

References 76 publications

Exploring the relationship between e-health literacy and online health information-seeking behaviour among pharmacy students in Indonesia

Exploring the relationship between e-health literacy and online health information-seeking behaviour among pharmacy students in Indonesia

Reducing the “digital divide” to reap the “digital dividend”: spatial differences and convergence of the digital economy in cities of China

Gambaran Pekerja Informal dan Faktor-Faktor yang Memengaruhinya di Indonesia Tahun 2022

Contact Info

Product

Resources

About