When Spillovers Enhance R&D Incentives View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03-14

AUTHORS

Rittwik Chatterjee, Srobonti Chattopadhyay, Tarun Kabiraj

ABSTRACT

It is commonly believed that spillover reduces R&D incentives of a firm. This happens because of the appropriability problem. However, some empirical literature shows the possibility of enhanced R&D incentives under spillovers. In the literature this is explained under incomplete information, but we show this theoretically under complete information. We show in particular that in a duopoly there are situations when with no spillovers only one firm invests in R&D, but under spillovers both the firms invest. This occurs when there is complementarity in research and the spillover rate lies in an interval specified by the size of R&D investment. More... »

PAGES

1-12

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s40953-019-00161-3

DOI

http://dx.doi.org/10.1007/s40953-019-00161-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112764881


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1402", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Applied Economics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/14", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Economics", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Centre for Studies in Social Sciences Calcutta", 
          "id": "https://www.grid.ac/institutes/grid.433072.1", 
          "name": [
            "Centre for Studies in Social Sciences, Kolkata, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chatterjee", 
        "givenName": "Rittwik", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Economics, Vidyasagar College for Women, 700006, Kolkata, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chattopadhyay", 
        "givenName": "Srobonti", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Indian Statistical Institute", 
          "id": "https://www.grid.ac/institutes/grid.39953.35", 
          "name": [
            "Indian Statistical Institute, Kolkata, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kabiraj", 
        "givenName": "Tarun", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0167-7187(96)01023-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032403039"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.19030/jber.v12i3.8737", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068748279"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1911463", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069639599"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2534454", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069979583"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/10438599.2017.1290898", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083926278"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1515/9781400879762", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1096912988"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/2321022218800183", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107997182"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/2321022218800183", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107997182"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/2321022218800183", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107997182"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-03-14", 
    "datePublishedReg": "2019-03-14", 
    "description": "It is commonly believed that spillover reduces R&D incentives of a firm. This happens because of the appropriability problem. However, some empirical literature shows the possibility of enhanced R&D incentives under spillovers. In the literature this is explained under incomplete information, but we show this theoretically under complete information. We show in particular that in a duopoly there are situations when with no spillovers only one firm invests in R&D, but under spillovers both the firms invest. This occurs when there is complementarity in research and the spillover rate lies in an interval specified by the size of R&D investment.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s40953-019-00161-3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1027984", 
        "issn": [
          "0971-1554", 
          "2364-1045"
        ], 
        "name": "Journal of Quantitative Economics", 
        "type": "Periodical"
      }
    ], 
    "name": "When Spillovers Enhance R&D Incentives", 
    "pagination": "1-12", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "9ad3a56608307b1236a32e02df254791e621361d4c8edb931da0eb62e8680d1e"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s40953-019-00161-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112764881"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s40953-019-00161-3", 
      "https://app.dimensions.ai/details/publication/pub.1112764881"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T11:54", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000359_0000000359/records_29200_00000003.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs40953-019-00161-3"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s40953-019-00161-3'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s40953-019-00161-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s40953-019-00161-3'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s40953-019-00161-3'


 

This table displays all metadata directly associated to this object as RDF triples.

92 TRIPLES      21 PREDICATES      31 URIs      16 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s40953-019-00161-3 schema:about anzsrc-for:14
2 anzsrc-for:1402
3 schema:author Ne1ef0b331cba4db5b7ced52fdb252646
4 schema:citation https://doi.org/10.1016/s0167-7187(96)01023-5
5 https://doi.org/10.1080/10438599.2017.1290898
6 https://doi.org/10.1177/2321022218800183
7 https://doi.org/10.1515/9781400879762
8 https://doi.org/10.19030/jber.v12i3.8737
9 https://doi.org/10.2307/1911463
10 https://doi.org/10.2307/2534454
11 schema:datePublished 2019-03-14
12 schema:datePublishedReg 2019-03-14
13 schema:description It is commonly believed that spillover reduces R&D incentives of a firm. This happens because of the appropriability problem. However, some empirical literature shows the possibility of enhanced R&D incentives under spillovers. In the literature this is explained under incomplete information, but we show this theoretically under complete information. We show in particular that in a duopoly there are situations when with no spillovers only one firm invests in R&D, but under spillovers both the firms invest. This occurs when there is complementarity in research and the spillover rate lies in an interval specified by the size of R&D investment.
14 schema:genre research_article
15 schema:inLanguage en
16 schema:isAccessibleForFree false
17 schema:isPartOf sg:journal.1027984
18 schema:name When Spillovers Enhance R&D Incentives
19 schema:pagination 1-12
20 schema:productId N114cb282f76b4e3e9bae73538bbe453a
21 N3fb2dcca91ab45539f48c60bc0c2591d
22 N7030ef4e7f534661aff6d99e79313093
23 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112764881
24 https://doi.org/10.1007/s40953-019-00161-3
25 schema:sdDatePublished 2019-04-11T11:54
26 schema:sdLicense https://scigraph.springernature.com/explorer/license/
27 schema:sdPublisher Ndf933eb580ef47608b40d68abb7a5fa8
28 schema:url https://link.springer.com/10.1007%2Fs40953-019-00161-3
29 sgo:license sg:explorer/license/
30 sgo:sdDataset articles
31 rdf:type schema:ScholarlyArticle
32 N114cb282f76b4e3e9bae73538bbe453a schema:name doi
33 schema:value 10.1007/s40953-019-00161-3
34 rdf:type schema:PropertyValue
35 N17875e2e3ed24c9d82858fc3b6ee287a schema:affiliation https://www.grid.ac/institutes/grid.433072.1
36 schema:familyName Chatterjee
37 schema:givenName Rittwik
38 rdf:type schema:Person
39 N30f4365301dd4fc297e4688a4bc999c2 schema:affiliation N5ab3eae4e89e4ec7969077f6ceaa4f1f
40 schema:familyName Chattopadhyay
41 schema:givenName Srobonti
42 rdf:type schema:Person
43 N3fb2dcca91ab45539f48c60bc0c2591d schema:name dimensions_id
44 schema:value pub.1112764881
45 rdf:type schema:PropertyValue
46 N5ab3eae4e89e4ec7969077f6ceaa4f1f schema:name Department of Economics, Vidyasagar College for Women, 700006, Kolkata, India
47 rdf:type schema:Organization
48 N7030ef4e7f534661aff6d99e79313093 schema:name readcube_id
49 schema:value 9ad3a56608307b1236a32e02df254791e621361d4c8edb931da0eb62e8680d1e
50 rdf:type schema:PropertyValue
51 N995323d4a4704b6cb6d2c9db7c19cf5f schema:affiliation https://www.grid.ac/institutes/grid.39953.35
52 schema:familyName Kabiraj
53 schema:givenName Tarun
54 rdf:type schema:Person
55 N9f6961b9fd09464d83cb8326ade370e5 rdf:first N30f4365301dd4fc297e4688a4bc999c2
56 rdf:rest Na0d187dbcca34e7aae7d0c5de5d2310d
57 Na0d187dbcca34e7aae7d0c5de5d2310d rdf:first N995323d4a4704b6cb6d2c9db7c19cf5f
58 rdf:rest rdf:nil
59 Ndf933eb580ef47608b40d68abb7a5fa8 schema:name Springer Nature - SN SciGraph project
60 rdf:type schema:Organization
61 Ne1ef0b331cba4db5b7ced52fdb252646 rdf:first N17875e2e3ed24c9d82858fc3b6ee287a
62 rdf:rest N9f6961b9fd09464d83cb8326ade370e5
63 anzsrc-for:14 schema:inDefinedTermSet anzsrc-for:
64 schema:name Economics
65 rdf:type schema:DefinedTerm
66 anzsrc-for:1402 schema:inDefinedTermSet anzsrc-for:
67 schema:name Applied Economics
68 rdf:type schema:DefinedTerm
69 sg:journal.1027984 schema:issn 0971-1554
70 2364-1045
71 schema:name Journal of Quantitative Economics
72 rdf:type schema:Periodical
73 https://doi.org/10.1016/s0167-7187(96)01023-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032403039
74 rdf:type schema:CreativeWork
75 https://doi.org/10.1080/10438599.2017.1290898 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083926278
76 rdf:type schema:CreativeWork
77 https://doi.org/10.1177/2321022218800183 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107997182
78 rdf:type schema:CreativeWork
79 https://doi.org/10.1515/9781400879762 schema:sameAs https://app.dimensions.ai/details/publication/pub.1096912988
80 rdf:type schema:CreativeWork
81 https://doi.org/10.19030/jber.v12i3.8737 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068748279
82 rdf:type schema:CreativeWork
83 https://doi.org/10.2307/1911463 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069639599
84 rdf:type schema:CreativeWork
85 https://doi.org/10.2307/2534454 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069979583
86 rdf:type schema:CreativeWork
87 https://www.grid.ac/institutes/grid.39953.35 schema:alternateName Indian Statistical Institute
88 schema:name Indian Statistical Institute, Kolkata, India
89 rdf:type schema:Organization
90 https://www.grid.ac/institutes/grid.433072.1 schema:alternateName Centre for Studies in Social Sciences Calcutta
91 schema:name Centre for Studies in Social Sciences, Kolkata, India
92 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...