Resilience: An Evolutionary Approach to Spatial Economic Systems View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2002-06

AUTHORS

Aura Reggiani, Thomas De Graaff, Peter Nijkamp

ABSTRACT

The concept of resilience has received a great deal of attention in the past decades. Starting from the first fundamental definitions offered by Holling, Pimms and Perrings in an economic-ecological modeling context, the present paper explores the ‘evolution’ of the resilience concept—as well as related different measures—in both a continuous and discrete time setting.From this perspective, the paper explores the relevance of the resilience concept in socio-economic systems, by focussing the attention on the relationships among resilience, transition dynamics and lock-in effects, in particular in the light of the dynamics of technological innovation diffusion and adaptive behaviour of firms. In this framework we will describe an empirical application, in which the resilience and dynamics of the West-German labour market will be investigated. This empirical illustration is offered by making use of an algorithm constructed for detecting Lyapunov exponents, so as to classify the resilience among employment sectors in our case study. More... »

PAGES

211-229

Identifiers

URI

http://scigraph.springernature.com/pub.10.1023/a:1015377515690

DOI

http://dx.doi.org/10.1023/a:1015377515690

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1045887231


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/2008/01", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Mathematical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0102", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Applied Mathematics", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Economics, Faculty of Statistics, University of Bologna, Piazza Scaravilli 2, 40126, Bologna, Italy", 
          "id": "http://www.grid.ac/institutes/grid.6292.f", 
          "name": [
            "Department of Economics, Faculty of Statistics, University of Bologna, Piazza Scaravilli 2, 40126, Bologna, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Reggiani", 
        "givenName": "Aura", 
        "id": "sg:person.015001470074.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015001470074.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Economics, Faculty of Economics, Free University of Amsterdam, De Boelelaan 1105, 1085 HV, Amsterdam, The Netherlands", 
          "id": "http://www.grid.ac/institutes/grid.12380.38", 
          "name": [
            "Department of Economics, Faculty of Economics, Free University of Amsterdam, De Boelelaan 1105, 1085 HV, Amsterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "De Graaff", 
        "givenName": "Thomas", 
        "id": "sg:person.012103027507.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012103027507.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Economics, Faculty of Economics, Free University of Amsterdam, De Boelelaan 1105, 1085 HV, Amsterdam, The Netherlands", 
          "id": "http://www.grid.ac/institutes/grid.12380.38", 
          "name": [
            "Department of Economics, Faculty of Economics, Free University of Amsterdam, De Boelelaan 1105, 1085 HV, Amsterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nijkamp", 
        "givenName": "Peter", 
        "id": "sg:person.012207177165.74", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012207177165.74"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/978-3-642-59787-9_20", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036302097", 
          "https://doi.org/10.1007/978-3-642-59787-9_20"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-59787-9_16", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022674268", 
          "https://doi.org/10.1007/978-3-642-59787-9_16"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s100219900002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047485912", 
          "https://doi.org/10.1007/s100219900002"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1008317920901", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040412823", 
          "https://doi.org/10.1023/a:1008317920901"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/307321a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042943740", 
          "https://doi.org/10.1038/307321a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-59787-9_2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011101856", 
          "https://doi.org/10.1007/978-3-642-59787-9_2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1008255614276", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014980943", 
          "https://doi.org/10.1023/a:1008255614276"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-59787-9_12", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024461455", 
          "https://doi.org/10.1007/978-3-642-59787-9_12"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/30918", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041985305", 
          "https://doi.org/10.1038/30918"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-59787-9_4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031424078", 
          "https://doi.org/10.1007/978-3-642-59787-9_4"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2002-06", 
    "datePublishedReg": "2002-06-01", 
    "description": "The concept of resilience has received a great deal of attention in the past decades. Starting from the first fundamental definitions offered by Holling, Pimms and Perrings in an economic-ecological modeling context, the present paper explores the \u2018evolution\u2019 of the resilience concept\u2014as well as related different measures\u2014in both a continuous and discrete time setting.From this perspective, the paper explores the relevance of the resilience concept in socio-economic systems, by focussing the attention on the relationships among resilience, transition dynamics and lock-in effects, in particular in the light of the dynamics of technological innovation diffusion and adaptive behaviour of firms. In this framework we will describe an empirical application, in which the resilience and dynamics of the West-German labour market will be investigated. This empirical illustration is offered by making use of an algorithm constructed for detecting Lyapunov exponents, so as to classify the resilience among employment sectors in our case study.", 
    "genre": "article", 
    "id": "sg:pub.10.1023/a:1015377515690", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136451", 
        "issn": [
          "1566-113X", 
          "1572-9427"
        ], 
        "name": "Networks and Spatial Economics", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "2"
      }
    ], 
    "keywords": [
      "spatial economic systems", 
      "socio-economic systems", 
      "technological innovation diffusion", 
      "labour market", 
      "economic system", 
      "empirical application", 
      "empirical illustration", 
      "innovation diffusion", 
      "employment sector", 
      "different measures", 
      "transition dynamics", 
      "resilience concept", 
      "modeling context", 
      "discrete time", 
      "firms", 
      "market", 
      "sector", 
      "evolutionary approach", 
      "case study", 
      "concept of resilience", 
      "resilience", 
      "past decade", 
      "great deal", 
      "dynamics", 
      "Perring", 
      "framework", 
      "present paper", 
      "measures", 
      "attention", 
      "deal", 
      "perspective", 
      "decades", 
      "adaptive behavior", 
      "illustration", 
      "concept", 
      "context", 
      "relationship", 
      "Holling", 
      "relevance", 
      "approach", 
      "Lyapunov exponents", 
      "definition", 
      "behavior", 
      "effect", 
      "light", 
      "system", 
      "diffusion", 
      "lock", 
      "PiMM", 
      "paper", 
      "evolution", 
      "use", 
      "time", 
      "study", 
      "fundamental definitions", 
      "exponent", 
      "applications", 
      "algorithm", 
      "first fundamental definitions", 
      "economic-ecological modeling context", 
      "West-German labour market"
    ], 
    "name": "Resilience: An Evolutionary Approach to Spatial Economic Systems", 
    "pagination": "211-229", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1045887231"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1023/a:1015377515690"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1023/a:1015377515690", 
      "https://app.dimensions.ai/details/publication/pub.1045887231"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-01-01T18:12", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_356.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1023/a:1015377515690"
  }
]
 

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.10.1023/a:1015377515690'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1023/a:1015377515690'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1023/a:1015377515690'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1023/a:1015377515690'


 

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

176 TRIPLES      22 PREDICATES      97 URIs      79 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1023/a:1015377515690 schema:about anzsrc-for:01
2 anzsrc-for:0102
3 schema:author Nb79e4198407b4f77bc6b9c97556e82b8
4 schema:citation sg:pub.10.1007/978-3-642-59787-9_12
5 sg:pub.10.1007/978-3-642-59787-9_16
6 sg:pub.10.1007/978-3-642-59787-9_2
7 sg:pub.10.1007/978-3-642-59787-9_20
8 sg:pub.10.1007/978-3-642-59787-9_4
9 sg:pub.10.1007/s100219900002
10 sg:pub.10.1023/a:1008255614276
11 sg:pub.10.1023/a:1008317920901
12 sg:pub.10.1038/307321a0
13 sg:pub.10.1038/30918
14 schema:datePublished 2002-06
15 schema:datePublishedReg 2002-06-01
16 schema:description The concept of resilience has received a great deal of attention in the past decades. Starting from the first fundamental definitions offered by Holling, Pimms and Perrings in an economic-ecological modeling context, the present paper explores the ‘evolution’ of the resilience concept—as well as related different measures—in both a continuous and discrete time setting.From this perspective, the paper explores the relevance of the resilience concept in socio-economic systems, by focussing the attention on the relationships among resilience, transition dynamics and lock-in effects, in particular in the light of the dynamics of technological innovation diffusion and adaptive behaviour of firms. In this framework we will describe an empirical application, in which the resilience and dynamics of the West-German labour market will be investigated. This empirical illustration is offered by making use of an algorithm constructed for detecting Lyapunov exponents, so as to classify the resilience among employment sectors in our case study.
17 schema:genre article
18 schema:inLanguage en
19 schema:isAccessibleForFree false
20 schema:isPartOf N82536b0f2ac6488ca3c3a36da3f97d46
21 N8f7c0f9443e4471da0c8bbddc0936c79
22 sg:journal.1136451
23 schema:keywords Holling
24 Lyapunov exponents
25 Perring
26 PiMM
27 West-German labour market
28 adaptive behavior
29 algorithm
30 applications
31 approach
32 attention
33 behavior
34 case study
35 concept
36 concept of resilience
37 context
38 deal
39 decades
40 definition
41 different measures
42 diffusion
43 discrete time
44 dynamics
45 economic system
46 economic-ecological modeling context
47 effect
48 empirical application
49 empirical illustration
50 employment sector
51 evolution
52 evolutionary approach
53 exponent
54 firms
55 first fundamental definitions
56 framework
57 fundamental definitions
58 great deal
59 illustration
60 innovation diffusion
61 labour market
62 light
63 lock
64 market
65 measures
66 modeling context
67 paper
68 past decade
69 perspective
70 present paper
71 relationship
72 relevance
73 resilience
74 resilience concept
75 sector
76 socio-economic systems
77 spatial economic systems
78 study
79 system
80 technological innovation diffusion
81 time
82 transition dynamics
83 use
84 schema:name Resilience: An Evolutionary Approach to Spatial Economic Systems
85 schema:pagination 211-229
86 schema:productId N5ed46cf21a3c45c8a83cc56067c46894
87 Ncf5fb35979ae4674abca972caafefbcd
88 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045887231
89 https://doi.org/10.1023/a:1015377515690
90 schema:sdDatePublished 2022-01-01T18:12
91 schema:sdLicense https://scigraph.springernature.com/explorer/license/
92 schema:sdPublisher N14acb06eee0a4687a90fb7f58dbbdf67
93 schema:url https://doi.org/10.1023/a:1015377515690
94 sgo:license sg:explorer/license/
95 sgo:sdDataset articles
96 rdf:type schema:ScholarlyArticle
97 N14acb06eee0a4687a90fb7f58dbbdf67 schema:name Springer Nature - SN SciGraph project
98 rdf:type schema:Organization
99 N224f014d95ab456d9c97b7c7d1253eb6 rdf:first sg:person.012207177165.74
100 rdf:rest rdf:nil
101 N5ed46cf21a3c45c8a83cc56067c46894 schema:name dimensions_id
102 schema:value pub.1045887231
103 rdf:type schema:PropertyValue
104 N7ba4b3adb8ed4b3fb48f77d6ab211d9e rdf:first sg:person.012103027507.11
105 rdf:rest N224f014d95ab456d9c97b7c7d1253eb6
106 N82536b0f2ac6488ca3c3a36da3f97d46 schema:issueNumber 2
107 rdf:type schema:PublicationIssue
108 N8f7c0f9443e4471da0c8bbddc0936c79 schema:volumeNumber 2
109 rdf:type schema:PublicationVolume
110 Nb79e4198407b4f77bc6b9c97556e82b8 rdf:first sg:person.015001470074.38
111 rdf:rest N7ba4b3adb8ed4b3fb48f77d6ab211d9e
112 Ncf5fb35979ae4674abca972caafefbcd schema:name doi
113 schema:value 10.1023/a:1015377515690
114 rdf:type schema:PropertyValue
115 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
116 schema:name Mathematical Sciences
117 rdf:type schema:DefinedTerm
118 anzsrc-for:0102 schema:inDefinedTermSet anzsrc-for:
119 schema:name Applied Mathematics
120 rdf:type schema:DefinedTerm
121 sg:journal.1136451 schema:issn 1566-113X
122 1572-9427
123 schema:name Networks and Spatial Economics
124 schema:publisher Springer Nature
125 rdf:type schema:Periodical
126 sg:person.012103027507.11 schema:affiliation grid-institutes:grid.12380.38
127 schema:familyName De Graaff
128 schema:givenName Thomas
129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012103027507.11
130 rdf:type schema:Person
131 sg:person.012207177165.74 schema:affiliation grid-institutes:grid.12380.38
132 schema:familyName Nijkamp
133 schema:givenName Peter
134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012207177165.74
135 rdf:type schema:Person
136 sg:person.015001470074.38 schema:affiliation grid-institutes:grid.6292.f
137 schema:familyName Reggiani
138 schema:givenName Aura
139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015001470074.38
140 rdf:type schema:Person
141 sg:pub.10.1007/978-3-642-59787-9_12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024461455
142 https://doi.org/10.1007/978-3-642-59787-9_12
143 rdf:type schema:CreativeWork
144 sg:pub.10.1007/978-3-642-59787-9_16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022674268
145 https://doi.org/10.1007/978-3-642-59787-9_16
146 rdf:type schema:CreativeWork
147 sg:pub.10.1007/978-3-642-59787-9_2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011101856
148 https://doi.org/10.1007/978-3-642-59787-9_2
149 rdf:type schema:CreativeWork
150 sg:pub.10.1007/978-3-642-59787-9_20 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036302097
151 https://doi.org/10.1007/978-3-642-59787-9_20
152 rdf:type schema:CreativeWork
153 sg:pub.10.1007/978-3-642-59787-9_4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031424078
154 https://doi.org/10.1007/978-3-642-59787-9_4
155 rdf:type schema:CreativeWork
156 sg:pub.10.1007/s100219900002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047485912
157 https://doi.org/10.1007/s100219900002
158 rdf:type schema:CreativeWork
159 sg:pub.10.1023/a:1008255614276 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014980943
160 https://doi.org/10.1023/a:1008255614276
161 rdf:type schema:CreativeWork
162 sg:pub.10.1023/a:1008317920901 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040412823
163 https://doi.org/10.1023/a:1008317920901
164 rdf:type schema:CreativeWork
165 sg:pub.10.1038/307321a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042943740
166 https://doi.org/10.1038/307321a0
167 rdf:type schema:CreativeWork
168 sg:pub.10.1038/30918 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041985305
169 https://doi.org/10.1038/30918
170 rdf:type schema:CreativeWork
171 grid-institutes:grid.12380.38 schema:alternateName Department of Economics, Faculty of Economics, Free University of Amsterdam, De Boelelaan 1105, 1085 HV, Amsterdam, The Netherlands
172 schema:name Department of Economics, Faculty of Economics, Free University of Amsterdam, De Boelelaan 1105, 1085 HV, Amsterdam, The Netherlands
173 rdf:type schema:Organization
174 grid-institutes:grid.6292.f schema:alternateName Department of Economics, Faculty of Statistics, University of Bologna, Piazza Scaravilli 2, 40126, Bologna, Italy
175 schema:name Department of Economics, Faculty of Statistics, University of Bologna, Piazza Scaravilli 2, 40126, Bologna, Italy
176 rdf:type schema:Organization
 




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


...