{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/89109"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/89109","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"The role of skilled labor pool in driving firms to agglomerate: an empirical study on China's policy experiment","abstract":"This study aims to empirically identify agglomeration forces operating through skilled labor mobility. Specifically, this research uses a natural experiment in China regarding to skilled labor migration liberalization to examine the impact of skilled labor pool and knowledge availability on China’s industrial agglomeration. The current project centers on three progressive chapters on how skilled labor reallocation reshapes the economic geography in China. Chapter 2 estimates the response of the high-tech industrial agglomeration to high-educated/high-skilled labor migration liberalization. It finds liberalizing interregional skilled labor mobility facilitates high-tech industrial agglomeration. Chapter 3 uses a narrowly controlled dataset to construct a case study on the China’s Food Processing industry. The research question posed is whether Food Processing firms co-locate to access talent pool. It finds evidence that the skilled labor pool affected the location decision of Food Processing firms. The result supports recent literature that the food and agribusiness sector is increasingly dependent on knowledge and high technology. Chapter 4 models and tests the knowledge effect through which a skilled labor policy increases industrial agglomeration. It analyzes relationship between a sector’s heterogeneity level and knowledge efficacy. It finds that heterogeneity alone does not maximize knowledge efficacy.","abstract_html":"This study aims to empirically identify agglomeration forces operating through skilled labor mobility. Specifically, this research uses a natural experiment in China regarding to skilled labor migration liberalization to examine the impact of skilled labor pool and knowledge availability on China’s industrial agglomeration. The current project centers on three progressive chapters on how skilled labor reallocation reshapes the economic geography in China. Chapter 2 estimates the response of the high-tech industrial agglomeration to high-educated/high-skilled labor migration liberalization. It finds liberalizing interregional skilled labor mobility facilitates high-tech industrial agglomeration. Chapter 3 uses a narrowly controlled dataset to construct a case study on the China’s Food Processing industry. The research question posed is whether Food Processing firms co-locate to access talent pool. It finds evidence that the skilled labor pool affected the location decision of Food Processing firms. The result supports recent literature that the food and agribusiness sector is increasingly dependent on knowledge and high technology. Chapter 4 models and tests the knowledge effect through which a skilled labor policy increases industrial agglomeration. It analyzes relationship between a sector’s heterogeneity level and knowledge efficacy. It finds that heterogeneity alone does not maximize knowledge efficacy.","abstract_has_math":false,"creators":["Wang, Miao"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Agricultural & Consumer Economics","degree_department":null,"school":null,"contributors":["Goldsmith, Peter D.","Baylis, Kathy","Hewings, Geoffrey J.D.","Kirwan, Barret E."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016-03-02T20:23:17Z","date_published":"2016-03-02T20:23:17Z","updated_at":"2026-07-22T22:26:32Z","subjects":["Agglomeration","Natural experiment"],"languages":["en"],"rights":["Copyright 2015 Miao Wang"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/89109","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Goldsmith, Peter D.","Baylis, Kathy","Hewings, Geoffrey J.D.","Kirwan, Barret E."]},{"key":"dc:creator","label":"Author","values":["Wang, Miao"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2016-03-02T20:23:17Z","2018-03-03T10:15:14Z","2015-11-12","2015-12"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Agricultural & Consumer Economics"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Agglomeration","Natural experiment"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2015 Miao Wang"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/89109"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["This study aims to empirically identify agglomeration forces operating through skilled labor mobility. Specifically, this research uses a natural experiment in China regarding to skilled labor migration liberalization to examine the impact of skilled labor pool and knowledge availability on China’s industrial agglomeration. The current project centers on three progressive chapters on how skilled labor reallocation reshapes the economic geography in China. Chapter 2 estimates the response of the high-tech industrial agglomeration to high-educated/high-skilled labor migration liberalization. It finds liberalizing interregional skilled labor mobility facilitates high-tech industrial agglomeration. Chapter 3 uses a narrowly controlled dataset to construct a case study on the China’s Food Processing industry. The research question posed is whether Food Processing firms co-locate to access talent pool. It finds evidence that the skilled labor pool affected the location decision of Food Processing firms. The result supports recent literature that the food and agribusiness sector is increasingly dependent on knowledge and high technology. Chapter 4 models and tests the knowledge effect through which a skilled labor policy increases industrial agglomeration. It analyzes relationship between a sector’s heterogeneity level and knowledge efficacy. It finds that heterogeneity alone does not maximize knowledge efficacy.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2017-12-01","The student, Miao Wang, accepted the attached license on 2015-11-06 at 18:29.","The student, Miao Wang, submitted this Dissertation for approval on 2015-11-06 at 18:42.","This Dissertation was approved for publication on 2015-11-12 at 16:43.","DSpace SAF Submission Ingestion Package generated from Vireo submission #8764 on 2016-03-02 at 14:05:10","Made available in DSpace on 2016-03-02T20:23:17Z (GMT). No. of bitstreams: 2 WANG-DISSERTATION-2015.pdf: 1984581 bytes, checksum: e80cf016095c801b1bd2996bbf47d83c (MD5) LICENSE.txt: 4206 bytes, checksum: a3395b2e0a1a65e595910cb2b268ed98 (MD5) Previous issue date: 2015-11-12","Embargo set by: Seth Robbins for item 91311 Lift date: 2018-03-02T20:24:31Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","U of I Only Restriction Lifted for Item 91311 on 2018-03-03T10:15:14Z."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["The role of skilled labor pool in driving firms to agglomerate: an empirical study on China's policy experiment"]}]}],"canonical_facts":{"dc:contributor":["Goldsmith, Peter D.","Baylis, Kathy","Hewings, Geoffrey J.D.","Kirwan, Barret E."],"dc:creator":["Wang, Miao"],"dc:date":["2016-03-02T20:23:17Z","2018-03-03T10:15:14Z","2015-11-12","2015-12"],"dc:description":["This study aims to empirically identify agglomeration forces operating through skilled labor mobility. Specifically, this research uses a natural experiment in China regarding to skilled labor migration liberalization to examine the impact of skilled labor pool and knowledge availability on China’s industrial agglomeration. The current project centers on three progressive chapters on how skilled labor reallocation reshapes the economic geography in China. Chapter 2 estimates the response of the high-tech industrial agglomeration to high-educated/high-skilled labor migration liberalization. It finds liberalizing interregional skilled labor mobility facilitates high-tech industrial agglomeration. Chapter 3 uses a narrowly controlled dataset to construct a case study on the China’s Food Processing industry. The research question posed is whether Food Processing firms co-locate to access talent pool. It finds evidence that the skilled labor pool affected the location decision of Food Processing firms. The result supports recent literature that the food and agribusiness sector is increasingly dependent on knowledge and high technology. Chapter 4 models and tests the knowledge effect through which a skilled labor policy increases industrial agglomeration. It analyzes relationship between a sector’s heterogeneity level and knowledge efficacy. It finds that heterogeneity alone does not maximize knowledge efficacy.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2017-12-01","The student, Miao Wang, accepted the attached license on 2015-11-06 at 18:29.","The student, Miao Wang, submitted this Dissertation for approval on 2015-11-06 at 18:42.","This Dissertation was approved for publication on 2015-11-12 at 16:43.","DSpace SAF Submission Ingestion Package generated from Vireo submission #8764 on 2016-03-02 at 14:05:10","Made available in DSpace on 2016-03-02T20:23:17Z (GMT). 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