{"id":"W2466635327","doi":"10.1111/rode.12296","title":"How Does the Minimum Wage Affect Firm Investments in Fixed and Human Capital? Evidence from China","year":2016,"lang":"en","type":"article","venue":"Review of Development Economics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Human capital; Economics; China; Investment (military); Wage; Panel data; Minimum wage; Exploit; Fixed investment; Labour economics; Foreign direct investment; Physical capital; Fixed capital; Capital (architecture); Financial capital; Market economy; Econometrics; Macroeconomics; Capital formation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008390579,0.0002597625,0.000786493,0.0001041012,0.00008286155,0.00007440133,0.0004523245,0.00008855313,0.0001372819],"category_scores_gemma":[0.0001650722,0.0001727715,0.0001132516,0.00008316729,0.0001104385,0.0005345633,0.0001776233,0.00009193377,0.0001065972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000257465,"about_ca_system_score_gemma":0.0000539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001685274,"about_ca_topic_score_gemma":0.0002641075,"domain_scores_codex":[0.9980642,0.00003214351,0.001034283,0.0005310127,0.00002347641,0.0003149288],"domain_scores_gemma":[0.9985853,0.0001716536,0.0006725886,0.0004654753,0.00001123618,0.00009368597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001801762,0.0001239808,0.9156792,0.001733455,0.0002747054,0.000003999026,0.001147879,0.000002241775,0.0001137559,0.05926732,0.0009690181,0.02066645],"study_design_scores_gemma":[0.0008750564,0.00004772391,0.9173648,0.004912162,0.00001813224,0.000003060687,0.00006170286,0.00001678286,0.0007616067,0.01859365,0.05677567,0.0005695905],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9449676,0.04925548,0.00002161684,0.004168489,0.0002385209,0.0005072058,0.0001130337,0.00001105236,0.0007170302],"genre_scores_gemma":[0.8522092,0.1460124,0.0008602858,0.0004626819,0.00004169724,0.00005873531,0.00001573811,0.0000211272,0.0003182028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09675687,"threshold_uncertainty_score":0.7045417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05164693648517263,"score_gpt":0.2282280138141448,"score_spread":0.1765810773289721,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}