کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1021951 941306 2014 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Patent indicators for macroeconomic growth—the value of patents estimated by export volume
ترجمه فارسی عنوان
شاخص های ثبت اختراع برای رشد اقتصاد کلان ارزش پتنت های برآورد شده توسط حجم صادرات
کلمات کلیدی
اختراعات، ارزش ثبت اختراع، صادرات، تجارت بین المللی
موضوعات مرتبط
علوم انسانی و اجتماعی مدیریت، کسب و کار و حسابداری کسب و کار و مدیریت بین المللی
چکیده انگلیسی


• Exports can be used as a means of measuring the value of patents.
• A one percent increase in patent applications raises future exports by 12.2 percent.
• IPC-classes, inventor count and family size have no explanatory power.
• Forward citations are a promising indicator of patent value at the country level.

This paper examines the linkage between patenting and export performance for selected countries at the level of technology fields. Some empirical studies show considerable correlation between the patenting behavior of countries and their economic success in international markets. Adding to the existing literature, the aim of this analysis is to assess whether the indicators that are supposed to reflect patent value—such as patent citations or family size—have any explanatory power in estimating the export value of countries by technology fields.For this study, a panel dataset was compiled consisting of annual data (1988–2007) on international trade from the UN-COMTRADE database and patent data from the EPO Worldwide Patent Statistical Database (PATSTAT).The results show that exports are a very useful way of placing a valuation on patents. Patents and exports are strongly correlated, although there are visible deviations from this parallelism. IPC classes and inventor counts prove not to be relevant in predicting the export value of patents, while family size has restricted predictive power. When analyzing patent applications, forward citations, in particular, are more promising than granted patents.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Technovation - Volume 34, Issue 9, September 2014, Pages 546–558
نویسندگان
, , , ,