{"created":"2023-07-27T12:34:02.320098+00:00","id":37773,"links":{},"metadata":{"_buckets":{"deposit":"17024cbd-4820-49de-aaac-e98bedb88686"},"_deposit":{"created_by":19,"id":"37773","owners":[19],"pid":{"revision_id":0,"type":"depid","value":"37773"},"status":"published"},"_oai":{"id":"oai:ir.ide.go.jp:00037773","sets":["3552:4093:4098"]},"author_link":["44581","44580"],"item_14_biblio_info_6":{"attribute_name":"収録情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2013-03-01","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"403","bibliographic_titles":[{"bibliographic_title":"IDE Discussion Paper"},{"bibliographic_title":"IDE Discussion Paper","bibliographic_titleLang":"en"}]}]},"item_14_description_21":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_14_description_23":{"attribute_name":"DIG_NO","attribute_value_mlt":[{"subitem_description":"IDP000403_001","subitem_description_type":"Other"}]},"item_14_description_3":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"This paper estimates the impact of industrial agglomeration on firm-level productivity in Chinese manufacturing sectors. To account for spatial autocorrelation across regions, we formulate a hierarchical spatial model at the firm level and develop a Bayesian estimation algorithm. A Bayesian instrumental-variables approach is used to address endogeneity bias of agglomeration. Robust to these potential biases, we find that agglomeration of the same industry (i.e. localization) has a productivity-boosting effect, but agglomeration of urban population (i.e. urbanization) has no such effects. Additionally, the localization effects increase with educational levels of employees and the share of intermediate inputs in gross output. These results may suggest that agglomeration externalities occur through knowledge spillovers and input sharing among firms producing similar manufactures.","subitem_description_type":"Abstract"}]},"item_14_geolocation_18":{"attribute_name":"地域/国名","attribute_value_mlt":[{"subitem_geolocation_place":[{"subitem_geolocation_place_text":"中国"}]}]},"item_14_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.20561/00037768","subitem_identifier_reg_type":"JaLC"}]},"item_14_publisher_7":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Institute of Developing Economies　(IDE-JETRO)　"}]},"item_14_rights_5":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"Copyrights 日本貿易振興機構（ジェトロ）アジア経済研究所 / Institute of Developing Economies, Japan External Trade Organization (IDE-JETRO) http://www.ide.go.jp"}]},"item_14_subject_16":{"attribute_name":"日本十進分類法","attribute_value_mlt":[{"subitem_subject":"601.22","subitem_subject_scheme":"NDC"}]},"item_14_subject_17":{"attribute_name":"JEL分類","attribute_value_mlt":[{"subitem_subject":"JEL:C21 - Cross-Sectional Models;","subitem_subject_scheme":"Other"},{"subitem_subject":"JEL:C51 - Model Construction and Estimation","subitem_subject_scheme":"Other"},{"subitem_subject":"JEL:R10 - General","subitem_subject_scheme":"Other"},{"subitem_subject":"JEL:R15 - Econometric and Input Output Models; Other Models","subitem_subject_scheme":"Other"}]},"item_14_subject_19":{"attribute_name":"主題(図書館用)","attribute_value_mlt":[{"subitem_subject":"China","subitem_subject_scheme":"Other"},{"subitem_subject":"Industrial policy","subitem_subject_scheme":"Other"},{"subitem_subject":"Manufacturing industries","subitem_subject_scheme":"Other"},{"subitem_subject":"Productivity","subitem_subject_scheme":"Other"},{"subitem_subject":"Local economy","subitem_subject_scheme":"Other"},{"subitem_subject":"Agglomeration economies","subitem_subject_scheme":"Other"},{"subitem_subject":"Spatial autocorrelation","subitem_subject_scheme":"Other"},{"subitem_subject":"Bayes","subitem_subject_scheme":"Other"},{"subitem_subject":"Chinese firm-level data","subitem_subject_scheme":"Other"},{"subitem_subject":"GIS","subitem_subject_scheme":"Other"}]},"item_14_text_32":{"attribute_name":"著者別名","attribute_value_mlt":[{"subitem_text_value":"橋口, 善浩"},{"subitem_text_value":"田中, 清泰"}]},"item_14_version_type_15":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Hashiguchi, Yoshihiro"}],"nameIdentifiers":[{"nameIdentifier":"44580","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Tanaka, Kiyoyasu"}],"nameIdentifiers":[{"nameIdentifier":"44581","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2017-04-10"}],"displaytype":"detail","filename":"IDP000403_001.pdf","filesize":[{"value":"2.7 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"本文","url":"https://ir.ide.go.jp/record/37773/files/IDP000403_001.pdf"},"version_id":"bfc68078-f1bc-45ac-a64e-8acb9968c46d"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"technical report","resourceuri":"http://purl.org/coar/resource_type/c_18gh"}]},"item_title":"Agglomeration and firm-level productivity : a Bayesian spatial approach","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Agglomeration and firm-level productivity : a Bayesian spatial approach"}]},"item_type_id":"14","owner":"19","path":["4098"],"pubdate":{"attribute_name":"公開日","attribute_value":"2013-04-03"},"publish_date":"2013-04-03","publish_status":"0","recid":"37773","relation_version_is_last":true,"title":["Agglomeration and firm-level productivity : a Bayesian spatial approach"],"weko_creator_id":"19","weko_shared_id":-1},"updated":"2023-07-27T15:48:36.202742+00:00"}