Green credit policy and corporate productivity: Evidence from a quasi-natural experiment in China

buir.contributor.authorŞensoy, Ahmet
buir.contributor.orcidŞensoy, Ahmet|0000-0001-7967-5171
dc.citation.epage121516- 19en_US
dc.citation.spage121516- 1en_US
dc.citation.volumeNumber177en_US
dc.contributor.authorCui, X.
dc.contributor.authorWang, P.
dc.contributor.authorŞensoy, Ahmet
dc.contributor.authorNguyen, D. K.
dc.contributor.authorPan, Y.
dc.date.accessioned2023-02-16T08:27:18Z
dc.date.available2023-02-16T08:27:18Z
dc.date.issued2022-02-01
dc.departmentDepartment of Managementen_US
dc.description.abstractTaking the implementation of the “Green Credit Guidelines” in China in 2012 as an exogenous shock, we adopt the difference-in-differences (DIDs) method to explore the influence of the green credit policy on total factor productivity (TFP). We show evidence of a significant and positive correlation between green credit and corporate total factor productivity, and this result is robust to a series of robustness tests. In addition, the improvement is particularly evident for non-SOEs, small-scale firms, firms with weak external supervision, and firms in developed areas of eastern China. Moreover, the green credit policy mainly affects corporate total factor productivity through promoting technological innovation and enhancing resource allocation efficiency. Overall, green credit promotes the win-win development of the environment and the economy.en_US
dc.description.provenanceSubmitted by Ezgi Uğurlu (ezgi.ugurlu@bilkent.edu.tr) on 2023-02-16T08:27:18Z No. of bitstreams: 1 Green_Credit_Policy_and_Corporate_Productivity_Evidence_from_a_Quasi-natural_Experiment_in_China.pdf: 1305189 bytes, checksum: 9464f2d876fc18a7a3a15557410a5600 (MD5)en
dc.description.provenanceMade available in DSpace on 2023-02-16T08:27:18Z (GMT). No. of bitstreams: 1 Green_Credit_Policy_and_Corporate_Productivity_Evidence_from_a_Quasi-natural_Experiment_in_China.pdf: 1305189 bytes, checksum: 9464f2d876fc18a7a3a15557410a5600 (MD5) Previous issue date: 2022-02-01en
dc.embargo.release2024-02-01
dc.identifier.doi10.1016/j.techfore.2022.121516en_US
dc.identifier.eissn1873-5509
dc.identifier.issn0040-1625
dc.identifier.urihttp://hdl.handle.net/11693/111415
dc.language.isoEnglishen_US
dc.publisherElsevier Inc.en_US
dc.relation.isversionofhttps://doi.org/10.1016/j.techfore.2022.121516en_US
dc.source.titleTechnological Forecasting and Social Changeen_US
dc.subjectGreen credit policyen_US
dc.subjectTotal factor productivityen_US
dc.subjectTechnological innovationen_US
dc.subjectResource allocation efficiencyen_US
dc.titleGreen credit policy and corporate productivity: Evidence from a quasi-natural experiment in Chinaen_US
dc.typeArticleen_US

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