{
"@context": "http://schema.org",
"@type": "ScholarlyArticle",
"@id": "https://doi.org/10.5281/zenodo.1123546",
"identifier": {
"@type": "PropertyValue",
"propertyID": "URL",
"value": "https://zenodo.org/record/1123546"
},
"url": "https://zenodo.org/record/1123546",
"additionalType": "Journal article",
"name": "Industry Openness, Human Capital And Wage Inequality: Evidence From Chinese Manufacturing Firms",
"author": [
{
"name": "Qiong Huang",
"givenName": "Qiong",
"familyName": "Huang",
"@type": "Person"
},
{
"name": "Satish Chand",
"givenName": "Satish",
"familyName": "Chand",
"@type": "Person"
}
],
"description": "This paper uses a primary data from 670 Chinese
\nmanufacturing firms, together with the newly introduced regressionbased
\ninequality decomposition method, to study the effect of
\nopenness on wage inequality. We find that openness leads to a
\npositive industry wage premium, but its contribution to firm-level
\nwage inequality is relatively small, only 4.69%. The major
\ncontributor to wage inequality is human capital, which could explain
\n14.3% of wage inequality across sample firms.
",
"license": [
"https://creativecommons.org/licenses/by/4.0",
"info:eu-repo/semantics/openAccess"
],
"keywords": "Openness, human capital, wage inequality, decomposition; China.",
"inLanguage": "en",
"datePublished": "2016-02-06",
"schemaVersion": "http://datacite.org/schema/kernel-4",
"publisher": {
"@type": "Organization",
"name": "Zenodo"
},
"provider": {
"@type": "Organization",
"name": "datacite"
}
}