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Assessing the Impact of Patent Attributes on the Value of Discrete and Complex Innovations

General Economics · Submitted 10 Aug 2022

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim According to the conclusions of this study, only a few technologies from the discrete and complex innovation categories have some private value.

how it is stated · asserted 0.97 read the record →

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arXiv ID2208.07222 (version 1)
Pith IDVPZG5LCT, Pith's permanent record of this paper and its review
CitationMohd Shadab Danish, Pritam Ranjan, Ruchi Sharma. "Assessing the Impact of Patent Attributes on the Value of Discrete and Complex Innovations." arXiv:2208.07222 (2022). https://pith.science/paper/VPZG5LCT
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The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 6,781 input tokens.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.29 · human participants 0.03 · controlled comparison 0.19 · randomized assignment 0.01 · states quantitative result 0.09 · compares with prior results 0.11 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

This study assesses the degree to which the social value of patents can be connected to the private value of patents across discrete and complex innovation. The underlying theory suggests that the social value of cumulative patents is less related to the private value of patents. We use the patents applied between 1995 to 2002 and granted on or before December 2018 from the Indian Patent Office (IPO). Here the patent renewal information is utilized as a proxy for the private value of the patent. We have used a variety of logit regression model for the impact assessment analysis. The results reveal that the technology classification (i.e., discrete versus complex innovations) plays an important role in patent value assessment, and some technologies are significantly different than the others even within the two broader classifications. Moreover, the non-resident patents in India are more likely to have a higher value than the resident patents. According to the conclusions of this study, only a few technologies from the discrete and complex innovation categories have some private value. There is no evidence that patent social value indicators are less useful in complicated technical classes than in discrete ones.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 This study assesses the degree to which the social value of patents can be connected to the private value of patents across discrete and complex innovation. contribution 0.97 0.78 0.05 asserted 0.56
s1 The underlying theory suggests that the social value of cumulative patents is less related to the private value of patents. background 1.00 0.06 0.11 hedged possibility 0.86
s2 We use the patents applied between 1995 to 2002 and granted on or before December 2018 from the Indian Patent Office (IPO). method 1.00 0.89 0.02 asserted 0.94
s3 Here the patent renewal information is utilized as a proxy for the private value of the patent. method 1.00 0.91 0.02 asserted 0.99
s4 We have used a variety of logit regression model for the impact assessment analysis. method 1.00 0.92 0.02 asserted 0.95
s5 The results reveal that the technology classification (i.e., discrete versus complex innovations) plays an important role in patent value assessment, and some technologies are significantly different than the others even within the two broader classifications. result 1.00 0.94 0.39 asserted 1.00
s6 Moreover, the non-resident patents in India are more likely to have a higher value than the resident patents. result 1.00 0.92 0.10 hedged possibility 0.81
s7 According to the conclusions of this study, only a few technologies from the discrete and complex innovation categories have some private value. result 0.76 0.89 0.36 asserted 0.97
s8 There is no evidence that patent social value indicators are less useful in complicated technical classes than in discrete ones. result 0.87 0.82 0.14 asserted 0.99

What kind of paper the classifier reports this is: empirical study 1.00 · evidence from analysis of existing data 1.00.

What was examined, and what was not

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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

This study assesses the degree to which the social value of patents can be connected to the private value of patents across discrete and complex innovation. The underlying theory suggests that the social value of cumulative patents is less related to the private value of patents. We use the patents applied between 1995 to 2002 and granted on or before December 2018 from the Indian Patent Office (IPO). Here the patent renewal information is utilized as a proxy for the private value of the patent. We have used a variety of logit regression model for the impact assessment analysis. The results reveal that the technology classification (i.e., discrete versus complex innovations) plays an important role in patent value assessment, and some technologies are significantly different than the others even within the two broader classifications. Moreover, the non-resident patents in India are more likely to have a higher value than the resident patents. According to the conclusions of this study, only a few technologies from the discrete and complex innovation categories have some private value. There is no evidence that patent social value indicators are less useful in complicated technical classes than in discrete ones.

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