Location choice for renewable resource extraction with multiple non-cooperative extractors: a spatial Nash equilibrium model and numerical implementation View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-10

AUTHORS

Erik O. Sterner, Elizabeth J. Z. Robinson, H. J. Albers

ABSTRACT

Especially in lower-income countries, the distribution of renewable resources in open access settings often reflects the non-cooperative spatial extraction decisions of many individuals who spread out across a landscape. These individuals recognize tradeoffs between distance to the resource, density, and competition amongst extractors. In this paper we present a game theoretic model that explicitly accommodates such explicitly spatial non-cooperative behavior with respect to the extraction of a stationary renewable natural resource, such as a non-timber forest products or bivalvia (for example, oysters, clams), that is located in a two dimensional landscape. Villagers that have identical labor allocations and preferences are shown to undertake very different extraction pathways in equilibrium. For example, some may extract in more congested patches closer to the village while others may extract in less crowded but more distant patches. For many parameterizations, we find multiple spatial Nash equilibria that differ with respect to the number of villagers at each resource location, whether individual villagers extract from one or multiple locations, and the extent and spatial pattern of resource degradation. In addition to finding equilibria with widely different actions taken by identical extractors, the analysis here demonstrates the impact of simplifying assumptions for spatial decisions on predictions of policy impact, resource distributions, and conflict. More... »

PAGES

315-331

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12076-018-0215-4

DOI

http://dx.doi.org/10.1007/s12076-018-0215-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1105010983


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": "Chalmers University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.5371.0", 
          "name": [
            "Physical Resource Theory, Department of Space, Earth and Environment, Chalmers University of Technology, Gothenburg, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sterner", 
        "givenName": "Erik O.", 
        "id": "sg:person.011645165215.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011645165215.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Reading", 
          "id": "https://www.grid.ac/institutes/grid.9435.b", 
          "name": [
            "School of Agriculture, Policy, and Development, University of Reading, Reading, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Robinson", 
        "givenName": "Elizabeth J. Z.", 
        "id": "sg:person.01361624414.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01361624414.67"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Wyoming", 
          "id": "https://www.grid.ac/institutes/grid.135963.b", 
          "name": [
            "Haub School of Environment and Natural Resources, Department of Economics and Finance, University of Wyoming, Laramie, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Albers", 
        "givenName": "H. J.", 
        "id": "sg:person.01274446525.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01274446525.01"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.ecolmodel.2011.07.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003136190"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jedc.2014.03.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005808763"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.082080899", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006208454"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jeem.2008.04.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008419911"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.gloenvcha.2009.05.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011188231"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.reseneeco.2009.11.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011932435"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jeem.2006.08.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013389254"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1162/rest_a_00075", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014515433"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1139/f84-117", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014975667"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jeem.2005.07.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026153799"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00191-003-0146-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027824739", 
          "https://doi.org/10.1007/s00191-003-0146-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jfe.2007.02.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039871127"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/460685a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052009434", 
          "https://doi.org/10.1038/460685a"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/460685a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052009434", 
          "https://doi.org/10.1038/460685a"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jue.2004.12.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053405925"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0376892997000465", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053858120"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s1355770x08004518", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053879221"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s1068280500002872", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054921800"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/3147272", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070211803"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2139/ssrn.1496316", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1102274558"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-10", 
    "datePublishedReg": "2018-10-01", 
    "description": "Especially in lower-income countries, the distribution of renewable resources in open access settings often reflects the non-cooperative spatial extraction decisions of many individuals who spread out across a landscape. These individuals recognize tradeoffs between distance to the resource, density, and competition amongst extractors. In this paper we present a game theoretic model that explicitly accommodates such explicitly spatial non-cooperative behavior with respect to the extraction of a stationary renewable natural resource, such as a non-timber forest products or bivalvia (for example, oysters, clams), that is located in a two dimensional landscape. Villagers that have identical labor allocations and preferences are shown to undertake very different extraction pathways in equilibrium. For example, some may extract in more congested patches closer to the village while others may extract in less crowded but more distant patches. For many parameterizations, we find multiple spatial Nash equilibria that differ with respect to the number of villagers at each resource location, whether individual villagers extract from one or multiple locations, and the extent and spatial pattern of resource degradation. In addition to finding equilibria with widely different actions taken by identical extractors, the analysis here demonstrates the impact of simplifying assumptions for spatial decisions on predictions of policy impact, resource distributions, and conflict.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s12076-018-0215-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1136188", 
        "issn": [
          "1864-4031", 
          "1864-404X"
        ], 
        "name": "Letters in Spatial and Resource Sciences", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "11"
      }
    ], 
    "name": "Location choice for renewable resource extraction with multiple non-cooperative extractors: a spatial Nash equilibrium model and numerical implementation", 
    "pagination": "315-331", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "77a8e1193961068e90280b8b98906205f865ab14684e4d48d43997d308c28eb7"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s12076-018-0215-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1105010983"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s12076-018-0215-4", 
      "https://app.dimensions.ai/details/publication/pub.1105010983"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T13:32", 
    "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/v90/0000000001_0000000264/records_8659_00000604.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs12076-018-0215-4"
  }
]
 

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/s12076-018-0215-4'

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/s12076-018-0215-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12076-018-0215-4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12076-018-0215-4'


 

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

140 TRIPLES      21 PREDICATES      46 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s12076-018-0215-4 schema:about anzsrc-for:14
2 anzsrc-for:1402
3 schema:author N1597aae9485044f6ad45b6e6e367b65d
4 schema:citation sg:pub.10.1007/s00191-003-0146-z
5 sg:pub.10.1038/460685a
6 https://doi.org/10.1016/j.ecolmodel.2011.07.010
7 https://doi.org/10.1016/j.gloenvcha.2009.05.002
8 https://doi.org/10.1016/j.jedc.2014.03.008
9 https://doi.org/10.1016/j.jeem.2005.07.001
10 https://doi.org/10.1016/j.jeem.2006.08.002
11 https://doi.org/10.1016/j.jeem.2008.04.002
12 https://doi.org/10.1016/j.jfe.2007.02.002
13 https://doi.org/10.1016/j.jue.2004.12.008
14 https://doi.org/10.1016/j.reseneeco.2009.11.011
15 https://doi.org/10.1017/s0376892997000465
16 https://doi.org/10.1017/s1068280500002872
17 https://doi.org/10.1017/s1355770x08004518
18 https://doi.org/10.1073/pnas.082080899
19 https://doi.org/10.1139/f84-117
20 https://doi.org/10.1162/rest_a_00075
21 https://doi.org/10.2139/ssrn.1496316
22 https://doi.org/10.2307/3147272
23 schema:datePublished 2018-10
24 schema:datePublishedReg 2018-10-01
25 schema:description Especially in lower-income countries, the distribution of renewable resources in open access settings often reflects the non-cooperative spatial extraction decisions of many individuals who spread out across a landscape. These individuals recognize tradeoffs between distance to the resource, density, and competition amongst extractors. In this paper we present a game theoretic model that explicitly accommodates such explicitly spatial non-cooperative behavior with respect to the extraction of a stationary renewable natural resource, such as a non-timber forest products or bivalvia (for example, oysters, clams), that is located in a two dimensional landscape. Villagers that have identical labor allocations and preferences are shown to undertake very different extraction pathways in equilibrium. For example, some may extract in more congested patches closer to the village while others may extract in less crowded but more distant patches. For many parameterizations, we find multiple spatial Nash equilibria that differ with respect to the number of villagers at each resource location, whether individual villagers extract from one or multiple locations, and the extent and spatial pattern of resource degradation. In addition to finding equilibria with widely different actions taken by identical extractors, the analysis here demonstrates the impact of simplifying assumptions for spatial decisions on predictions of policy impact, resource distributions, and conflict.
26 schema:genre research_article
27 schema:inLanguage en
28 schema:isAccessibleForFree true
29 schema:isPartOf N0ee8fa5baea14e689ac27d399074c05c
30 Na8d9139a4e8445228512c27f694d0711
31 sg:journal.1136188
32 schema:name Location choice for renewable resource extraction with multiple non-cooperative extractors: a spatial Nash equilibrium model and numerical implementation
33 schema:pagination 315-331
34 schema:productId N4d01ecbeff3f46bd8fb8463ccccb6d96
35 N51725eac49b84b869d867bd06187f6c3
36 N56d4daa994174f09bfeaf03ab06f86eb
37 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105010983
38 https://doi.org/10.1007/s12076-018-0215-4
39 schema:sdDatePublished 2019-04-10T13:32
40 schema:sdLicense https://scigraph.springernature.com/explorer/license/
41 schema:sdPublisher N7101b7e3af9d4936bd056787a0548015
42 schema:url https://link.springer.com/10.1007%2Fs12076-018-0215-4
43 sgo:license sg:explorer/license/
44 sgo:sdDataset articles
45 rdf:type schema:ScholarlyArticle
46 N0ee8fa5baea14e689ac27d399074c05c schema:issueNumber 3
47 rdf:type schema:PublicationIssue
48 N1597aae9485044f6ad45b6e6e367b65d rdf:first sg:person.011645165215.27
49 rdf:rest Nac8d7115627f4404bac32f4d3c9512e6
50 N4d01ecbeff3f46bd8fb8463ccccb6d96 schema:name readcube_id
51 schema:value 77a8e1193961068e90280b8b98906205f865ab14684e4d48d43997d308c28eb7
52 rdf:type schema:PropertyValue
53 N51725eac49b84b869d867bd06187f6c3 schema:name doi
54 schema:value 10.1007/s12076-018-0215-4
55 rdf:type schema:PropertyValue
56 N56d4daa994174f09bfeaf03ab06f86eb schema:name dimensions_id
57 schema:value pub.1105010983
58 rdf:type schema:PropertyValue
59 N7101b7e3af9d4936bd056787a0548015 schema:name Springer Nature - SN SciGraph project
60 rdf:type schema:Organization
61 Na8d9139a4e8445228512c27f694d0711 schema:volumeNumber 11
62 rdf:type schema:PublicationVolume
63 Nac8d7115627f4404bac32f4d3c9512e6 rdf:first sg:person.01361624414.67
64 rdf:rest Ne5f712eb0606486d93e55611cac3b3fa
65 Ne5f712eb0606486d93e55611cac3b3fa rdf:first sg:person.01274446525.01
66 rdf:rest rdf:nil
67 anzsrc-for:14 schema:inDefinedTermSet anzsrc-for:
68 schema:name Economics
69 rdf:type schema:DefinedTerm
70 anzsrc-for:1402 schema:inDefinedTermSet anzsrc-for:
71 schema:name Applied Economics
72 rdf:type schema:DefinedTerm
73 sg:journal.1136188 schema:issn 1864-4031
74 1864-404X
75 schema:name Letters in Spatial and Resource Sciences
76 rdf:type schema:Periodical
77 sg:person.011645165215.27 schema:affiliation https://www.grid.ac/institutes/grid.5371.0
78 schema:familyName Sterner
79 schema:givenName Erik O.
80 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011645165215.27
81 rdf:type schema:Person
82 sg:person.01274446525.01 schema:affiliation https://www.grid.ac/institutes/grid.135963.b
83 schema:familyName Albers
84 schema:givenName H. J.
85 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01274446525.01
86 rdf:type schema:Person
87 sg:person.01361624414.67 schema:affiliation https://www.grid.ac/institutes/grid.9435.b
88 schema:familyName Robinson
89 schema:givenName Elizabeth J. Z.
90 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01361624414.67
91 rdf:type schema:Person
92 sg:pub.10.1007/s00191-003-0146-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1027824739
93 https://doi.org/10.1007/s00191-003-0146-z
94 rdf:type schema:CreativeWork
95 sg:pub.10.1038/460685a schema:sameAs https://app.dimensions.ai/details/publication/pub.1052009434
96 https://doi.org/10.1038/460685a
97 rdf:type schema:CreativeWork
98 https://doi.org/10.1016/j.ecolmodel.2011.07.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003136190
99 rdf:type schema:CreativeWork
100 https://doi.org/10.1016/j.gloenvcha.2009.05.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011188231
101 rdf:type schema:CreativeWork
102 https://doi.org/10.1016/j.jedc.2014.03.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005808763
103 rdf:type schema:CreativeWork
104 https://doi.org/10.1016/j.jeem.2005.07.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026153799
105 rdf:type schema:CreativeWork
106 https://doi.org/10.1016/j.jeem.2006.08.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013389254
107 rdf:type schema:CreativeWork
108 https://doi.org/10.1016/j.jeem.2008.04.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008419911
109 rdf:type schema:CreativeWork
110 https://doi.org/10.1016/j.jfe.2007.02.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039871127
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1016/j.jue.2004.12.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053405925
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1016/j.reseneeco.2009.11.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011932435
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1017/s0376892997000465 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053858120
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1017/s1068280500002872 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054921800
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1017/s1355770x08004518 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053879221
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1073/pnas.082080899 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006208454
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1139/f84-117 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014975667
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1162/rest_a_00075 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014515433
127 rdf:type schema:CreativeWork
128 https://doi.org/10.2139/ssrn.1496316 schema:sameAs https://app.dimensions.ai/details/publication/pub.1102274558
129 rdf:type schema:CreativeWork
130 https://doi.org/10.2307/3147272 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070211803
131 rdf:type schema:CreativeWork
132 https://www.grid.ac/institutes/grid.135963.b schema:alternateName University of Wyoming
133 schema:name Haub School of Environment and Natural Resources, Department of Economics and Finance, University of Wyoming, Laramie, USA
134 rdf:type schema:Organization
135 https://www.grid.ac/institutes/grid.5371.0 schema:alternateName Chalmers University of Technology
136 schema:name Physical Resource Theory, Department of Space, Earth and Environment, Chalmers University of Technology, Gothenburg, Sweden
137 rdf:type schema:Organization
138 https://www.grid.ac/institutes/grid.9435.b schema:alternateName University of Reading
139 schema:name School of Agriculture, Policy, and Development, University of Reading, Reading, UK
140 rdf:type schema:Organization
 




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


...