Girl in a jacket
สถาบันวิชาการป้องกันประเทศ
National Defence Studies Institute

เรื่อง: การพัฒนาศักยภาพด้านดิจิทัลเพื่อลดความเหลื่อมล้ำและสนับสนุนการเติบโตทางศรษฐกิจแบบทบทวีคูณ ภายใต้แผนยุทธศาสตร์ชาติ 20 ปี, (วปอ.8758)

หมวดหมู่:
งานวิจัย
มิติ:
มิติเศรษฐกิจ/Economics
พื้นที่/ขอบเขต:
ภายในประเทศ/Domestic/Local
ผู้เขียน:
วิทยาลัยป้องกันราชอาณาจักร, นายพิพิธ เอนกนิธิ, (วปอ.8758)
หน่วยงานเจ้าของ:
วิทยาลัยป้องกันราชอาณาจักร
ปีที่พิมพ์:
2561
จำนวนหน้า:
การเปิดเผยข้อมูล:
สาธารณะ

บทคัดย่อ:

ติดต่อหน่วยเจ้าของ (Text Error)

abstract:

 Abstract Title Digital Capability Enhancement: A Measure to Mitigate Inequality and Support Exponential Economic Growth under Thailand"s 20-Year National Strategy Field Economics Name Mr.Pipit Aneaknithi Course NDC Class 61 Unprecedented advancement in digital technology is certain to redefine economic and social landscapes in ways previously unimagined, and exponential economic growth brought about by digital innovations will be phenomenal. However, to be able to reap the true benefits from this rapid wave of technological growth, one needs to be digitally capable. On the flipside, a lack of digital skills will become the definitive social barrier for underprivileged people to live, to learn, to develop and to work in society. Regardless of how exponential the growth is, those lacking digital skills will be at risk of being left behind. It is these circumstances that inevitably pose a challenge to Thailand"s development goal under the 20-Year National Strategy in delivering equitable and inclusive growth. Growth has never been inclusive in Thailand, and this digital-driven growth can potentially perpetuate and exacerbate Thailand"s inequality issues. Adopting the concept of digital literacy and skills from Sheng and Cheng (2017), and the framework set by the UK"s Department for Business, Innovation and Skills in collaboration with the Department for Digital, Culture, Media and Sport, we conducted a survey among 17,599 samples and found that as little as 1.2 percent of the sampling population had sufficient digital skills to prepare them for the future"s disruption. Further, we attempted to identify factors that determine the level of digital knowledge among Thai individuals, employing the Binary Logistic Regression Model and the Multiple Linear Regression Model; empirical results indicate that age, education and income level have significant causal relations with the level of digital knowledge. Finally, having classified the population at risk of failing to adapt to changes into six segments according to risk level, we identified that those most likely to be left behind are people born before 1981 with less than a high school education and a monthly income lower than 15,000 Baht, while those least likely to be left behind are those born in and after 1981 with more than a high school education and a monthly income higher than 15,000 Baht. ? These results have significant implications for human development policy formation. It is imperative that, in order to achieve equitable and inclusive growth, mass customization of policy be designed to address the unique characteristics of different population segments. Indeed, today"s advancement in technology and the rise of Big Data are the main ingredients for individualization of development policies to be possible in the near future, an approach consistent with Amartya Sen's Capability Approach of human development. Nonetheless, this paradigm shift in development policy concepts would require a public administration reform that comprises a designated agency with an integrated approach to bridge inequality gaps in all aspects. Moreover, local authorities should be empowered through a system of decentralized governance with a rigorous budgetary system and comprehensive evaluation process in accordance with the Precision Government Model.