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The effects of national environmental information disclosure program on the upgradation of regional industrial structure: Evidence from 286 prefecture-level cities in China. (2021). Liu, Shaohui ; Yang, Mian.
In: Structural Change and Economic Dynamics.
RePEc:eee:streco:v:58:y:2021:i:c:p:552-561.

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Cited: 17

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  1. Leveraging Environmental Information Disclosure for Sustainable Cities: Quasi-Experimental Evidence from China. (2025). Guo, Shujun ; Li, Xueting ; Yang, Shuxin ; Qian, Wenfan ; Zhang, Han.
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  2. Impact of environmental information disclosure on green finance development: empirical evidence from China. (2024). Wang, Yuanyuan ; Zhang, Minglang ; Hou, Hui.
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  3. Does Environmental Information Disclosure Reduce PM2.5 Emissions? Evidence from Chinese Prefecture-Level Cities. (2024). Xiong, Weiwei ; Wang, Yani.
    In: Sustainability.
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  4. Do multinational enterprises’ overseas investment activities promote their green transition performance? Evidence from Chinese listed companies. (2024). Sun, Chuanwang ; Zhang, Wenyue.
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  5. Is environmental information disclosure driving green energy development? Contextual evidence from Chinese city level data in the lens of sustainability. (2024). Shahzadi, Irum ; Wolanin, Elbieta ; Vasa, Lszl ; Liu, Jian.
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  6. Effects of environmental information disclosure on the green development of mining industry: Evidence from Chinese provincial mining sub-sectors. (2024). Song, YI ; Zhang, Yijun ; Ruan, Shengzhe ; Cheng, Jinhua ; Wang, Haowen.
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  7. Exploring the impact of digital industry agglomeration on provincial energy efficiency in China: A panel data analysis from 2012 to 2020. (2024). Wang, Ke-Liang ; Xu, Ru-Yu ; Miao, Zhuang.
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  9. Effect of place-based policy on regional economic growth: A quasi-natural experiment from China’s Old Revolutionary Development Program. (2023). Pan, Dan ; Kong, Fanbin ; Zhou, Peiyao.
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  10. How Does Intelligent Manufacturing Affect the ESG Performance of Manufacturing Firms? Evidence from China. (2023). Mohd, Nur Ashikin ; Sun, Lipeng.
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  11. Towards green recovery: Natural resources utilization efficiency under the impact of environmental information disclosure. (2023). Guo, Yifan ; Zhao, Xing ; Feng, Tianchu.
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  12. The influence of environmental information transparency of green bond on credit rating. (2023). Shi, Yajie ; Hu, Suhuan ; Zhang, Lifeng ; Yang, JI.
    In: Finance Research Letters.
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  13. Impact of the digital economy on high-quality urban economic development: Evidence from Chinese cities. (2023). Wang, YU ; Feng, YU ; Zhang, Hao ; Hu, Feng ; Liang, Chunyan ; Guo, Bingnan.
    In: Economic Modelling.
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  14. Has the Free Trade Zone Construction Promoted the Upgrading of the City’s Industrial Structure?. (2022). Wang, Jingyi ; Guan, Hongjun ; Zhao, Aiwu.
    In: Sustainability.
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  15. The Green Innovation Effect of Environmental Regulation: A Quasi–Natural Experiment from China. (2022). Huang, Teng ; Zhan, Shaoguo ; Li, Jiaxin ; Nie, Debo.
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  16. Do carbon ETS pilots improve cities green total factor productivity? Evidence from a quasi-natural experiment in China. (2022). Qi, Yaping ; Wang, XU ; Liu, Shaohui.
    In: Energy Economics.
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  17. Greening of Chinese industrial sector: Stakeholders responsiveness to non-governmental environmental monitoring. (2022). Liu, Shaohui ; Yang, Mian.
    In: China Economic Review.
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    RePEc:eee:jimfin:v:92:y:2019:i:c:p:25-61.

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  30. Agricultural inputs and nutrition in South Asia. (2019). Shankar, Bhavani ; Poole, Nigel ; Bird, Frances A.
    In: Food Policy.
    RePEc:eee:jfpoli:v:82:y:2019:i:c:p:28-38.

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  31. Designing an environmental impact bond for wetland restoration in Louisiana. (2019). Norriss, Jessie ; Herrera, Diego ; Kar, Devyani ; Gangi, Dakota ; Dupont, Carolyn ; Cohen, Benjamin ; Rojas, Victor ; Cunniff, Shannon ; Snider, Natalie Peyronnin ; Mountenot, Marshall ; Wyerman, Jim.
    In: Ecosystem Services.
    RePEc:eee:ecoser:v:35:y:2019:i:c:p:260-276.

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  32. Rethinking Policy Evaluation – Do Simple Neural Nets Bear Comparison with Synthetic Control Method?. (2018). Steinkraus, Arne.
    In: EconStor Preprints.
    RePEc:zbw:esprep:177390.

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  33. Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence. (2018). Strittmatter, Anthony ; Lechner, Michael ; Knaus, Michael.
    In: Economics Working Paper Series.
    RePEc:usg:econwp:2018:17.

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  34. Labor Market Effects of U.S. Sick Pay Mandates.. (2018). Ziebarth, Nicolas ; Pichler, Stefan.
    In: Upjohn Working Papers.
    RePEc:upj:weupjo:18-293.

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  35. Selecting Directors Using Machine Learning. (2018). Weisbach, Michael ; Stern, Lea H ; Erel, Isil ; Tan, Chenhao.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:24435.

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  36. The Impact of Machine Learning on Economics. (2018). Athey, Susan.
    In: NBER Chapters.
    RePEc:nbr:nberch:14009.

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  37. Do natural disasters influence long-term saving?: Assessing the impact of the 2008 Sichuan earthquake on household saving rates using synthetic control. (2018). Kinugasa, Tomoko ; Luo, Kevin.
    In: Discussion Papers.
    RePEc:koe:wpaper:1804.

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  38. Pink Work: Same-Sex Marriage, Employment and Discrimination. (2018). Sansone, Dario.
    In: 2018 Papers.
    RePEc:jmp:jm2018:psa1336.

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  39. Big Data in economics. (2018). Hersh, Jonathan ; Harding, Matthew.
    In: IZA World of Labor.
    RePEc:iza:izawol:journl:2018:n:451.

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  40. Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence. (2018). Strittmatter, Anthony ; Lechner, Michael ; Knaus, Michael.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp12039.

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  41. Labor-Market Returns to Higher Vocational Schooling. (2018). Jepsen, Christopher ; Haapanen, Mika ; Böckerman, Petri ; Bockerman, Petri.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp11734.

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  42. Flight from urban blight: lead poisoning, crime and suburbanization. (2018). Masera, Federico ; Curci, Federico.
    In: Working Papers.
    RePEc:ieb:wpaper:doc2018-09.

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  43. More Gun Carrying, More Violent Crime. (2018). Donohue, John.
    In: Econ Journal Watch.
    RePEc:ejw:journl:v:15:y:2018:i:1:p:67-82.

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  44. Sowing the seeds of the future: Policies for financing tomorrows innovations. (2018). Mazzucato, Mariana ; Grilli, Luca ; Meoli, Michele ; Scellato, Giuseppe.
    In: Technological Forecasting and Social Change.
    RePEc:eee:tefoso:v:127:y:2018:i:c:p:1-7.

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  45. Can fiscal rules constrain the size of government? An analysis of the “crown jewel” of tax and expenditure limitations. (2018). Eliason, Paul ; Lutz, Byron.
    In: Journal of Public Economics.
    RePEc:eee:pubeco:v:166:y:2018:i:c:p:115-144.

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  46. Randomized controlled trials informing public policy: Lessons from project STAR and class size reduction. (2018). Justman, Moshe.
    In: European Journal of Political Economy.
    RePEc:eee:poleco:v:54:y:2018:i:c:p:167-174.

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  47. Viewpoint: Beasts of the field? Ethics in agricultural and applied economics. (2018). Michler, Jeffrey ; Josephson, Anna.
    In: Food Policy.
    RePEc:eee:jfpoli:v:79:y:2018:i:c:p:1-11.

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  48. Spillover health effects of energy efficiency investments: Quasi-experimental evidence from the Los Angeles LED streetlight program. (2018). Jones, Benjamin.
    In: Journal of Environmental Economics and Management.
    RePEc:eee:jeeman:v:88:y:2018:i:c:p:283-299.

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  49. Targeting with machine learning: An application to a tax rebate program in Italy. (2018). D'Ignazio, Alessio ; de Blasio, Guido ; Ciani, Emanuele ; Andini, Monica ; Salvestrini, Viola.
    In: Journal of Economic Behavior & Organization.
    RePEc:eee:jeborg:v:156:y:2018:i:c:p:86-102.

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  50. Local secessions, homophily, and growth. A model with some evidence from the regions of Abruzzo and Molise (Italy, 1963). (2018). Poy, Samuele ; de Blasio, Guido ; Dalmazzo, Alberto.
    In: Journal of Economic Behavior & Organization.
    RePEc:eee:jeborg:v:151:y:2018:i:c:p:284-306.

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  51. Adoption of solar and wind energy: The roles of carbon pricing and aggregate policy support. (2018). Burke, Paul ; Best, Rohan.
    In: Energy Policy.
    RePEc:eee:enepol:v:118:y:2018:i:c:p:404-417.

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  52. Fast and reliable computation of generalized synthetic controls. (2018). Klossner, Stefan ; Becker, Martin.
    In: Econometrics and Statistics.
    RePEc:eee:ecosta:v:5:y:2018:i:c:p:1-19.

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  53. A spatial latent class model. (2018). Lee, Jiyon.
    In: Economics Letters.
    RePEc:eee:ecolet:v:162:y:2018:i:c:p:62-68.

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  54. Forest-attacking Invasive Species and Infant Health: Evidence From the Invasive Emerald Ash Borer. (2018). Jones, Benjamin.
    In: Ecological Economics.
    RePEc:eee:ecolec:v:154:y:2018:i:c:p:282-293.

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  55. Observations on research and publishing from nineteen years as editors of the Journal of Corporate Finance. (2018). Netter, Jeffry M ; Mulherin, Harold J ; Poulsen, Annette B.
    In: Journal of Corporate Finance.
    RePEc:eee:corfin:v:49:y:2018:i:c:p:120-124.

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  56. Cross-Validating Synthetic Controls. (2018). Pfeifer, Gregor ; Klner, Stefan ; Becker, Martin.
    In: Economics Bulletin.
    RePEc:ebl:ecbull:eb-17-00821.

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  57. Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence. (2018). Strittmatter, Anthony ; Lechner, Michael ; Knaus, Michael.
    In: CEPR Discussion Papers.
    RePEc:cpr:ceprdp:13402.

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  58. Labor-Market Returns to Higher Vocational Schooling. (2018). Jepsen, Christopher ; Haapanen, Mika ; Böckerman, Petri ; Bockerman, Petri.
    In: CESifo Working Paper Series.
    RePEc:ces:ceswps:_7197.

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  59. Comparing the Effects of Current Pay and Defined Benefit Pensions on Employee Retention: Working Paper 2018-06. (2018). Karamcheva, Nadia ; Falk, Justin.
    In: Working Papers.
    RePEc:cbo:wpaper:54056.

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  60. Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence. (2018). Strittmatter, Anthony ; Lechner, Michael ; Knaus, Michael.
    In: Papers.
    RePEc:arx:papers:1810.13237.

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  61. The yield and income effects of adoption of improved soybean varieties and agronomic practices in Malawi. (2018). Manda, J ; Akinwale, G ; Tufa, A H ; Alene, A D.
    In: 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia.
    RePEc:ags:iaae18:277239.

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  62. Cross-Validating Synthetic Controls. (2017). Pfeifer, Gregor ; Klossner, Stefan ; Becker, Martin.
    In: MPRA Paper.
    RePEc:pra:mprapa:83679.

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  63. The IMF and precautionary lending : An empirical evaluation of the selectivity and effectiveness of the flexible credit line. (2017). Essers, Dennis ; Ide, Stefaan .
    In: Working Paper Research.
    RePEc:nbb:reswpp:201706-323.

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  64. The IMF and precautionary lending : An empirical evaluation of the selectivity and effectiveness of the flexible credit line. (2017). Ide, Stefaan ; Essers, Dennis.
    In: Working Paper Research.
    RePEc:nbb:reswpp:201705-323.

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  65. Skilled Migration Policy and the Labour Market Performance of Immigrants. (2017). tani, max.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp11241.

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  66. Using Machine Learning To Model Interaction Effects In Education: A Graphical Approach. (2017). Horn, Daniel ; Agasisti, Tommaso ; Schiltz, Fritz ; Masci, Chiara.
    In: Budapest Working Papers on the Labour Market.
    RePEc:has:bworkp:1704.

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  67. Targeting policy-compliers with machine learning: an application to a tax rebate programme in Italy. (2017). D'Ignazio, Alessio ; de Blasio, Guido ; Ciani, Emanuele ; Andini, Monica ; Salvestrini, Viola.
    In: Temi di discussione (Economic working papers).
    RePEc:bdi:wptemi:td_1158_17.

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  68. Synthetic Control Methods: Never Use All Pre-Intervention Outcomes Together With Covariates. (2015). Pfeifer, Gregor ; Klossner, Stefan ; Schieler, Manuel ; Kaul, Ashok.
    In: MPRA Paper.
    RePEc:pra:mprapa:83790.

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