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022			_a02198770
040			_aMSU _bEnglish _cMSU _erda
050	0	0	_aHD451.557
100	1		_aKannattukunnel, Rohit S. _eauthor
245	1	0	_aGlobal patents on 3D printing : _brevelations based on Vector autoregression analysis for three decades/ _ccreated by Rohit S. Kannattukunnel
264	1		_aNew Jersey : _bWorld Scientific Publishing, _c2016.
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
440			_aInternational journal of innovation and technology management. _vVolume 13, number 6
520	3		_aEngineers and designers from automotive and aerospace sectors have been using 3D printing (3DP) for decades to build prototypes. However, 3DP became popular only recently. This paper is divided into three sections. Section 1 is introductory in nature, which deals with current trends, the modeling process of printing and deliberation on different categories of 3DP. Section 2 deals with the research methodology. An exquisite technique to study innovation dealing with time series data, called the vector autoregression (VAR), is performed to analyze the world patent data on 3DP, based on the information provided by the Government of UK and the International Monetary Fund (IMF). Section 3 attempts to forecast future trends on 3DP by using two techniques viz. impulse response function and variance decomposition. The VAR analysis performed revealed that GDP is not directly instrumental in the advancement in patenting of 3DP technology. Results captured by way of impulse response function suggest that when a shock is given to PR itself, it decreases sharply, whereas when a shock is given to investment, PR undergoes a steady decline. Thus, if there is any adverse shock imparted on investments, it directly reduces the patent ratio. Lastly, when an impulse is given to GDP, PR continuously increases, which implies that increase in GDP causes hike in investment which ultimately increases PR. The results of variance decomposition indicate that in the initial periods, PR itself explains the maximum variance, followed by the GDP and to the least by investment. The changes observed with the trend of explanatory character of variance imply that more investments in technology are instrumental in increasing patent ratio in the G7 countries as per the vector error correction (VEC) model developed here. Though during the nascent stage of emerging technologies investment in technology may not necessarily increase the patent ratio, the result obtained brings to light interesting insights.
650			_aPatent _v3D printer _xVAR-Model
856			_uhttps://doi.org/10.1142/S0219877017500043
942			_2lcc _cJA
999			_c166742 _d166742