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in Causal effect of MFOZ
f | 1 | { | f | 1 | { |
2 | "author": "[{\"affiliation\": \"WSL\", \"affiliation_02\": | 2 | "author": "[{\"affiliation\": \"WSL\", \"affiliation_02\": | ||
3 | \"Department of Sustainable Landscape Development, Institute for | 3 | \"Department of Sustainable Landscape Development, Institute for | ||
4 | Geosciences and Geography, Martin-Luther-University Halle-Wittenberg, | 4 | Geosciences and Geography, Martin-Luther-University Halle-Wittenberg, | ||
5 | Halle (Saale), Germany\", \"affiliation_03\": \"\", \"data_credit\": | 5 | Halle (Saale), Germany\", \"affiliation_03\": \"\", \"data_credit\": | ||
6 | [\"collection\", \"validation\", \"curation\", \"software\", | 6 | [\"collection\", \"validation\", \"curation\", \"software\", | ||
7 | \"publication\", \"supervision\"], \"email\": \"zhichao.he@wsl.ch\", | 7 | \"publication\", \"supervision\"], \"email\": \"zhichao.he@wsl.ch\", | ||
8 | \"given_name\": \"Zhichao\", \"identifier\": \"0000-0003-0663-3821\", | 8 | \"given_name\": \"Zhichao\", \"identifier\": \"0000-0003-0663-3821\", | ||
9 | \"name\": \"He\"}]", | 9 | \"name\": \"He\"}]", | ||
10 | "author_email": null, | 10 | "author_email": null, | ||
11 | "creator_user_id": "6bab1306-f7b0-4d65-bb3c-e9b48e3e121b", | 11 | "creator_user_id": "6bab1306-f7b0-4d65-bb3c-e9b48e3e121b", | ||
12 | "date": "[{\"date\": \"2022-01-25\", \"date_type\": \"collected\", | 12 | "date": "[{\"date\": \"2022-01-25\", \"date_type\": \"collected\", | ||
13 | \"end_date\": \"2022-01-25\"}]", | 13 | \"end_date\": \"2022-01-25\"}]", | ||
14 | "doi": "10.16904/envidat.288", | 14 | "doi": "10.16904/envidat.288", | ||
15 | "funding": "[{\"grant_number\": \"BSCGIO 157789\", \"institution\": | 15 | "funding": "[{\"grant_number\": \"BSCGIO 157789\", \"institution\": | ||
16 | \"WSL\", \"institution_url\": \"\"}]", | 16 | \"WSL\", \"institution_url\": \"\"}]", | ||
17 | "groups": [], | 17 | "groups": [], | ||
18 | "id": "f1330547-63c7-46fd-905b-8fdb0594d4b8", | 18 | "id": "f1330547-63c7-46fd-905b-8fdb0594d4b8", | ||
19 | "isopen": true, | 19 | "isopen": true, | ||
20 | "language": "en", | 20 | "language": "en", | ||
21 | "license_id": "CC0-1.0", | 21 | "license_id": "CC0-1.0", | ||
22 | "license_title": "Creative Commons Zero - No Rights Reserved (CC0 | 22 | "license_title": "Creative Commons Zero - No Rights Reserved (CC0 | ||
23 | 1.0)", | 23 | 1.0)", | ||
24 | "license_url": "https://creativecommons.org/publicdomain/zero/1.0/", | 24 | "license_url": "https://creativecommons.org/publicdomain/zero/1.0/", | ||
25 | "maintainer": "{\"affiliation\": \"WSL\", \"email\": | 25 | "maintainer": "{\"affiliation\": \"WSL\", \"email\": | ||
26 | \"zhichao.he@wsl.ch\", \"given_name\": \"Zhichao\", \"identifier\": | 26 | \"zhichao.he@wsl.ch\", \"given_name\": \"Zhichao\", \"identifier\": | ||
27 | \"0000-0003-0663-3821\", \"name\": \"He\"}", | 27 | \"0000-0003-0663-3821\", \"name\": \"He\"}", | ||
28 | "maintainer_email": null, | 28 | "maintainer_email": null, | ||
29 | "metadata_created": "2022-01-25T03:26:36.759790", | 29 | "metadata_created": "2022-01-25T03:26:36.759790", | ||
n | 30 | "metadata_modified": "2022-02-12T03:45:46.782988", | n | 30 | "metadata_modified": "2022-02-14T15:44:02.598814", |
31 | "name": "causal-effect-of-mfoz", | 31 | "name": "causal-effect-of-mfoz", | ||
32 | "notes": "Title: Closer to causality: How effective is spatial | 32 | "notes": "Title: Closer to causality: How effective is spatial | ||
33 | planning in governing built-up land expansion in Fujian Province, | 33 | planning in governing built-up land expansion in Fujian Province, | ||
34 | China?\r\n\r\nResearch objective: The Major Function Oriented Zone | 34 | China?\r\n\r\nResearch objective: The Major Function Oriented Zone | ||
35 | (MFOZ), the first strategic spatial plan in China, is developed to | 35 | (MFOZ), the first strategic spatial plan in China, is developed to | ||
36 | achieve a coordinated regional development, through spatial regulation | 36 | achieve a coordinated regional development, through spatial regulation | ||
37 | and zoning of development. The MFOZ he MFOZ divided land into four | 37 | and zoning of development. The MFOZ he MFOZ divided land into four | ||
38 | major function-oriented zones: The development-optimized zone, the | 38 | major function-oriented zones: The development-optimized zone, the | ||
39 | development-prioritised zone, the development-restricted zone, and the | 39 | development-prioritised zone, the development-restricted zone, and the | ||
40 | development-prohibited zone. We used propensity score marching to | 40 | development-prohibited zone. We used propensity score marching to | ||
41 | evaluate the effect of the MFOZ on built-up land expansion in Fujian | 41 | evaluate the effect of the MFOZ on built-up land expansion in Fujian | ||
42 | Province over three time intervals (2013\u20132015, 2013\u20132018 and | 42 | Province over three time intervals (2013\u20132015, 2013\u20132018 and | ||
43 | 2013\u20132020). \r\n\r\nData: Data.xlsx contains the variables of 954 | 43 | 2013\u20132020). \r\n\r\nData: Data.xlsx contains the variables of 954 | ||
44 | towns in Fujian Province. \r\nTown_ID is the town unique ID; | 44 | towns in Fujian Province. \r\nTown_ID is the town unique ID; | ||
45 | \r\nCounty_ID is the county unique ID;\r\nCity_ID is the city unique | 45 | \r\nCounty_ID is the county unique ID;\r\nCity_ID is the city unique | ||
46 | ID;\r\nMFOZ is the the development-prioritised zone and the | 46 | ID;\r\nMFOZ is the the development-prioritised zone and the | ||
47 | development-restricted zone (The development-optimized zone and the | 47 | development-restricted zone (The development-optimized zone and the | ||
48 | development-prohibited zone are excluded);\r\nBuiltup_13_15 is the | 48 | development-prohibited zone are excluded);\r\nBuiltup_13_15 is the | ||
49 | built-up land expansion from 2013 to 2015; \r\nBuiltup_13_18 is the | 49 | built-up land expansion from 2013 to 2015; \r\nBuiltup_13_18 is the | ||
50 | built-up land expansion from 2013 to 2018;\r\nBuiltup_13_20 is the | 50 | built-up land expansion from 2013 to 2018;\r\nBuiltup_13_20 is the | ||
51 | built-up land expansion from 2013 to 2020;\r\nDis2water is the | 51 | built-up land expansion from 2013 to 2020;\r\nDis2water is the | ||
52 | Euclidean distance from the town to the nearest waterbody;\r\nSlope is | 52 | Euclidean distance from the town to the nearest waterbody;\r\nSlope is | ||
53 | the the average slope within the town;\r\nGDP is the average GDP in | 53 | the the average slope within the town;\r\nGDP is the average GDP in | ||
54 | 2010 within the town; \r\nPop is the average population in 2010 within | 54 | 2010 within the town; \r\nPop is the average population in 2010 within | ||
55 | the town;\r\nRoad is the average population in 2010 within the | 55 | the town;\r\nRoad is the average population in 2010 within the | ||
56 | town;\r\nDis2city is the Euclidean distance from the town to the | 56 | town;\r\nDis2city is the Euclidean distance from the town to the | ||
57 | nearest prefectural city centre;\r\nNei_Arable, Nei_Forest, and | 57 | nearest prefectural city centre;\r\nNei_Arable, Nei_Forest, and | ||
58 | Nei_Built.up are the area of arable land, forest land, and built-up | 58 | Nei_Built.up are the area of arable land, forest land, and built-up | ||
59 | land neighbouring town i in 2010.\r\n\r\nMethod: we used the | 59 | land neighbouring town i in 2010.\r\n\r\nMethod: we used the | ||
60 | propensity score matching to compare the changes in the amount of | 60 | propensity score matching to compare the changes in the amount of | ||
61 | built-up land in the towns of the development-prioritised zone with | 61 | built-up land in the towns of the development-prioritised zone with | ||
62 | the matched towns of the development-restricted zone. Additionally, we | 62 | the matched towns of the development-restricted zone. Additionally, we | ||
63 | used three evaluation intervals (2013\u20132015, 2013\u20132018 and | 63 | used three evaluation intervals (2013\u20132015, 2013\u20132018 and | ||
64 | 2013\u20132020) to evaluate temporal variation in the causal effect of | 64 | 2013\u20132020) to evaluate temporal variation in the causal effect of | ||
65 | the MFOZ on built-up land expansion.", | 65 | the MFOZ on built-up land expansion.", | ||
66 | "num_resources": 1, | 66 | "num_resources": 1, | ||
67 | "num_tags": 6, | 67 | "num_tags": 6, | ||
68 | "organization": { | 68 | "organization": { | ||
69 | "approval_status": "approved", | 69 | "approval_status": "approved", | ||
70 | "created": "2019-01-16T10:05:56.219606", | 70 | "created": "2019-01-16T10:05:56.219606", | ||
71 | "description": "The land-use systems group studies landscape | 71 | "description": "The land-use systems group studies landscape | ||
72 | patterns and processes and their changes over time. We focus on | 72 | patterns and processes and their changes over time. We focus on | ||
73 | cultural landscapes and their multifunctionality while conducting | 73 | cultural landscapes and their multifunctionality while conducting | ||
74 | research in the following topics:\r\n\r\n- Development of models for | 74 | research in the following topics:\r\n\r\n- Development of models for | ||
75 | simulating future landscape dynamics and for estimating the resulting | 75 | simulating future landscape dynamics and for estimating the resulting | ||
76 | landscape services;\r\n- Application and further development of | 76 | landscape services;\r\n- Application and further development of | ||
77 | landscape genetic methods and theories;\r\n- Analysis of historical | 77 | landscape genetic methods and theories;\r\n- Analysis of historical | ||
78 | changes in ecosystems and landscapes (focus on the past 100 to 250 | 78 | changes in ecosystems and landscapes (focus on the past 100 to 250 | ||
79 | years);\r\n- Analysis of ecological implications of landscape and | 79 | years);\r\n- Analysis of ecological implications of landscape and | ||
80 | ecosystem changes in the context of the field of historical | 80 | ecosystem changes in the context of the field of historical | ||
81 | ecology;\r\n- Analysis of actors, driving forces, and land change and | 81 | ecology;\r\n- Analysis of actors, driving forces, and land change and | ||
82 | their interaction to understand the causes of landscape change\r\n- | 82 | their interaction to understand the causes of landscape change\r\n- | ||
83 | Contributing to the further development of landscape planning, based, | 83 | Contributing to the further development of landscape planning, based, | ||
84 | for example, on conflict analysis and the evaluation of planning | 84 | for example, on conflict analysis and the evaluation of planning | ||
85 | instruments. \r\n\r\nThe landscape ecology group combines methods and | 85 | instruments. \r\n\r\nThe landscape ecology group combines methods and | ||
86 | theories from natural sciences and social sciences on spatial scales | 86 | theories from natural sciences and social sciences on spatial scales | ||
87 | from single ecosystems to continents. We are equally committed to | 87 | from single ecosystems to continents. We are equally committed to | ||
88 | theory development and innovative applications.", | 88 | theory development and innovative applications.", | ||
89 | "id": "ecfa6cd4-9e88-4bba-b815-bd177d84ae11", | 89 | "id": "ecfa6cd4-9e88-4bba-b815-bd177d84ae11", | ||
90 | "image_url": "2019-01-16-090556.2007782000px-LogoWSL.svg.png", | 90 | "image_url": "2019-01-16-090556.2007782000px-LogoWSL.svg.png", | ||
91 | "is_organization": true, | 91 | "is_organization": true, | ||
92 | "name": "land-use-systems", | 92 | "name": "land-use-systems", | ||
93 | "state": "active", | 93 | "state": "active", | ||
94 | "title": "Land-use systems", | 94 | "title": "Land-use systems", | ||
95 | "type": "organization" | 95 | "type": "organization" | ||
96 | }, | 96 | }, | ||
97 | "owner_org": "ecfa6cd4-9e88-4bba-b815-bd177d84ae11", | 97 | "owner_org": "ecfa6cd4-9e88-4bba-b815-bd177d84ae11", | ||
98 | "private": false, | 98 | "private": false, | ||
99 | "publication": "{\"publication_year\": \"2022\", \"publisher\": | 99 | "publication": "{\"publication_year\": \"2022\", \"publisher\": | ||
100 | \"EnviDat\"}", | 100 | \"EnviDat\"}", | ||
t | 101 | "publication_state": "approved", | t | 101 | "publication_state": "published", |
102 | "related_datasets": "", | 102 | "related_datasets": "", | ||
103 | "related_publications": "* He, Z., Zhao, C., F\u00fcrst, C., & | 103 | "related_publications": "* He, Z., Zhao, C., F\u00fcrst, C., & | ||
104 | Hersperger, A. M. (2021). Closer to causality: How effective is | 104 | Hersperger, A. M. (2021). Closer to causality: How effective is | ||
105 | spatial planning in governing built-up land expansion in Fujian | 105 | spatial planning in governing built-up land expansion in Fujian | ||
106 | Province, China?. Land Use Policy, 108, 105562. | 106 | Province, China?. Land Use Policy, 108, 105562. | ||
107 | https://doi.org/10.1016/j.landusepol.2021.105562\r\n", | 107 | https://doi.org/10.1016/j.landusepol.2021.105562\r\n", | ||
108 | "relationships_as_object": [], | 108 | "relationships_as_object": [], | ||
109 | "relationships_as_subject": [], | 109 | "relationships_as_subject": [], | ||
110 | "resource_type": "dataset", | 110 | "resource_type": "dataset", | ||
111 | "resource_type_general": "dataset", | 111 | "resource_type_general": "dataset", | ||
112 | "resources": [ | 112 | "resources": [ | ||
113 | { | 113 | { | ||
114 | "cache_last_updated": null, | 114 | "cache_last_updated": null, | ||
115 | "cache_url": null, | 115 | "cache_url": null, | ||
116 | "created": "2022-01-25T03:28:01.105446", | 116 | "created": "2022-01-25T03:28:01.105446", | ||
117 | "description": "Data.xlsx is the variables of 952 | 117 | "description": "Data.xlsx is the variables of 952 | ||
118 | townships\r\nTable 1-2 NN(1-1)_noreplace_caliper(0.01).do is STATA | 118 | townships\r\nTable 1-2 NN(1-1)_noreplace_caliper(0.01).do is STATA | ||
119 | code to produce the results in Table 1 and 2 \r\nFigure 5 Distribution | 119 | code to produce the results in Table 1 and 2 \r\nFigure 5 Distribution | ||
120 | of the propensity scores.R is R code rto produce Figure 5\r\nFigure 5 | 120 | of the propensity scores.R is R code rto produce Figure 5\r\nFigure 5 | ||
121 | Standard mean difference.R is R code rto produce Figure 5", | 121 | Standard mean difference.R is R code rto produce Figure 5", | ||
122 | "doi": "", | 122 | "doi": "", | ||
123 | "format": "ZIP", | 123 | "format": "ZIP", | ||
124 | "hash": "", | 124 | "hash": "", | ||
125 | "id": "1c46795f-9934-4c51-8ccc-8f3f4d560112", | 125 | "id": "1c46795f-9934-4c51-8ccc-8f3f4d560112", | ||
126 | "last_modified": "2022-01-25T04:29:14.815156", | 126 | "last_modified": "2022-01-25T04:29:14.815156", | ||
127 | "metadata_modified": "2022-01-25T03:32:59.272584", | 127 | "metadata_modified": "2022-01-25T03:32:59.272584", | ||
128 | "mimetype": null, | 128 | "mimetype": null, | ||
129 | "mimetype_inner": null, | 129 | "mimetype_inner": null, | ||
130 | "name": "Data and Stata code for repeating the results ", | 130 | "name": "Data and Stata code for repeating the results ", | ||
131 | "package_id": "f1330547-63c7-46fd-905b-8fdb0594d4b8", | 131 | "package_id": "f1330547-63c7-46fd-905b-8fdb0594d4b8", | ||
132 | "position": 0, | 132 | "position": 0, | ||
133 | "publication_state": "", | 133 | "publication_state": "", | ||
134 | "resource_size": "{\"size_units\": \"kb\", \"size_value\": | 134 | "resource_size": "{\"size_units\": \"kb\", \"size_value\": | ||
135 | \"\"}", | 135 | \"\"}", | ||
136 | "resource_type": null, | 136 | "resource_type": null, | ||
137 | "restricted": "{\"allowed_users\": \"\", \"level\": \"public\", | 137 | "restricted": "{\"allowed_users\": \"\", \"level\": \"public\", | ||
138 | \"shared_secret\": \"\"}", | 138 | \"shared_secret\": \"\"}", | ||
139 | "size": 216836, | 139 | "size": 216836, | ||
140 | "state": "active", | 140 | "state": "active", | ||
141 | "url": | 141 | "url": | ||
142 | -4c51-8ccc-8f3f4d560112/download/data_land-use-policy_zhichao-he.zip", | 142 | -4c51-8ccc-8f3f4d560112/download/data_land-use-policy_zhichao-he.zip", | ||
143 | "url_type": "upload" | 143 | "url_type": "upload" | ||
144 | } | 144 | } | ||
145 | ], | 145 | ], | ||
146 | "spatial": | 146 | "spatial": | ||
147 | 5343515873,23.5080862403754],[116.2441398203373,23.5080862403754]]]}", | 147 | 5343515873,23.5080862403754],[116.2441398203373,23.5080862403754]]]}", | ||
148 | "spatial_info": "Fujian Province, China", | 148 | "spatial_info": "Fujian Province, China", | ||
149 | "state": "active", | 149 | "state": "active", | ||
150 | "subtitle": "", | 150 | "subtitle": "", | ||
151 | "tags": [ | 151 | "tags": [ | ||
152 | { | 152 | { | ||
153 | "display_name": "BUILT-UP LAND CHANGE", | 153 | "display_name": "BUILT-UP LAND CHANGE", | ||
154 | "id": "665961c0-36de-4829-87e1-c4ba20ccc0bc", | 154 | "id": "665961c0-36de-4829-87e1-c4ba20ccc0bc", | ||
155 | "name": "BUILT-UP LAND CHANGE", | 155 | "name": "BUILT-UP LAND CHANGE", | ||
156 | "state": "active", | 156 | "state": "active", | ||
157 | "vocabulary_id": null | 157 | "vocabulary_id": null | ||
158 | }, | 158 | }, | ||
159 | { | 159 | { | ||
160 | "display_name": "CAUSALITY", | 160 | "display_name": "CAUSALITY", | ||
161 | "id": "6cfdaa28-bcec-478d-b970-99f826dd4643", | 161 | "id": "6cfdaa28-bcec-478d-b970-99f826dd4643", | ||
162 | "name": "CAUSALITY", | 162 | "name": "CAUSALITY", | ||
163 | "state": "active", | 163 | "state": "active", | ||
164 | "vocabulary_id": null | 164 | "vocabulary_id": null | ||
165 | }, | 165 | }, | ||
166 | { | 166 | { | ||
167 | "display_name": "FUJIAN PROVINCE", | 167 | "display_name": "FUJIAN PROVINCE", | ||
168 | "id": "28289a09-ad30-4030-806e-01cb1f8c0925", | 168 | "id": "28289a09-ad30-4030-806e-01cb1f8c0925", | ||
169 | "name": "FUJIAN PROVINCE", | 169 | "name": "FUJIAN PROVINCE", | ||
170 | "state": "active", | 170 | "state": "active", | ||
171 | "vocabulary_id": null | 171 | "vocabulary_id": null | ||
172 | }, | 172 | }, | ||
173 | { | 173 | { | ||
174 | "display_name": "PROPENSITY SCORE MATCHING", | 174 | "display_name": "PROPENSITY SCORE MATCHING", | ||
175 | "id": "51000d9a-c314-4341-9017-cfc9fe51edbe", | 175 | "id": "51000d9a-c314-4341-9017-cfc9fe51edbe", | ||
176 | "name": "PROPENSITY SCORE MATCHING", | 176 | "name": "PROPENSITY SCORE MATCHING", | ||
177 | "state": "active", | 177 | "state": "active", | ||
178 | "vocabulary_id": null | 178 | "vocabulary_id": null | ||
179 | }, | 179 | }, | ||
180 | { | 180 | { | ||
181 | "display_name": "SELECTION BIAS", | 181 | "display_name": "SELECTION BIAS", | ||
182 | "id": "290abe7a-6ae3-418a-aa8d-07f887074d12", | 182 | "id": "290abe7a-6ae3-418a-aa8d-07f887074d12", | ||
183 | "name": "SELECTION BIAS", | 183 | "name": "SELECTION BIAS", | ||
184 | "state": "active", | 184 | "state": "active", | ||
185 | "vocabulary_id": null | 185 | "vocabulary_id": null | ||
186 | }, | 186 | }, | ||
187 | { | 187 | { | ||
188 | "display_name": "THE MAJOR FUNCTION ORIENTED ZONE", | 188 | "display_name": "THE MAJOR FUNCTION ORIENTED ZONE", | ||
189 | "id": "a2f1cbad-ce1c-46e4-bddc-8f519e756f5b", | 189 | "id": "a2f1cbad-ce1c-46e4-bddc-8f519e756f5b", | ||
190 | "name": "THE MAJOR FUNCTION ORIENTED ZONE", | 190 | "name": "THE MAJOR FUNCTION ORIENTED ZONE", | ||
191 | "state": "active", | 191 | "state": "active", | ||
192 | "vocabulary_id": null | 192 | "vocabulary_id": null | ||
193 | } | 193 | } | ||
194 | ], | 194 | ], | ||
195 | "title": "Causal effect of MFOZ", | 195 | "title": "Causal effect of MFOZ", | ||
196 | "type": "dataset", | 196 | "type": "dataset", | ||
197 | "url": null, | 197 | "url": null, | ||
198 | "version": "1.0" | 198 | "version": "1.0" | ||
199 | } | 199 | } |