دانلود رایگان مقاله رابطه علمی بین سرمایه گذاری R & D ICT و رشد اقتصادی در کره

عنوان فارسی
رابطه علمی بین سرمایه گذاری R & D ICT و رشد اقتصادی در کره
عنوان انگلیسی
Causal relationship between ICT R&D investment and economic growth in Korea
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
6
سال انتشار
2016
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
کد محصول
E4596
رشته های مرتبط با این مقاله
مهندسی فناوری اطلاعات و ارتباطات ICT و علوم اقتصادی
مجله
پیش بینی فنی و تغییر اجتماعی - Technological Forecasting & Social Change
دانشگاه
بخش استراتژی تجاری سازی، کره
کلمات کلیدی
مدل خطای تصحیح خطا، سرمایه گذاری تحقیق و توسعه، رشد اقتصادی، صنایع ICT ، کشور کره
چکیده

abstract


This study examined the Granger-causality between R&D investment and economic growth for Korea's ICT industry. Bidirectional Granger-causality was observed between ICT R&D investment and economic growth, and this result implies that ICT R&D investment is driven by economic growth and vice versa. When ICT R&D investment was classified into public sector and private sector, the results showed the private ICT R&D investment had stronger relationship with economic growth compared to public the ICT R&D investment. It means the private ICT R&D investment has stronger attribute of leading economic growth and induced investment by economic growth than the Public ICT R&D investment. The results also reported bidirectional causality between public ICT R&D investment and private ICT R&D investment. The establishment of two-way Granger-causality between public sector and private sector indicates a virtuous cycle has taken hold.

نتیجه گیری

5. Conclusion


This study examined causal relationships between Korea's R&D investment in the ICT industry and economic growth. Before causality tests, unit root tests were performed to assess the stability of the time series data. All introduced variables were non-stationary but their first difference variables were found to be stable. Cointegration was employed to determine whether a stable linear combination exists between the two variables, and one cointegration relationship was observed in all models. Since a cointegration relationship exists between the two time series, granger-causality was tested using the vector error correction model.


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