Local Government Debt and Firm Productivity: Evidence from China
In: RIBAF-D-22-00462
92 Ergebnisse
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In: RIBAF-D-22-00462
SSRN
In: RECYCL-D-22-04241
SSRN
In: Housing policy debate, Band 31, Heft 1, S. 16-32
ISSN: 2152-050X
In: Group decision and negotiation
ISSN: 1572-9907
In: Emerging markets, finance and trade: EMFT, S. 1-26
ISSN: 1558-0938
Enterprises should bear the main responsibility for greenhouse gas emissions. Disclosing carbon emission information is one of the important ways for enterprises to deal with climate change. Taking China's A-share listed companies from 2014 to 2018 as the research sample, we study the impact of external explicit institutional pressure and implicit institutional pressure on corporate carbon information disclosure and analyze the mediating effect of enterprise peer influence in carbon disclosure. The empirical results show that external institutional pressure, namely environmental regulation and Confucian culture, has a significant positive impact on enterprise carbon information disclosure. Enterprise peer influence has a certain mediating effect between external institutional pressure and carbon information disclosure. The government should formulate and improve the carbon information disclosure institution and strengthen external supervision through the joint participation of all sectors of society.
BASE
In: Spatial Demography, Band 7, Heft 2-3, S. 113-147
ISSN: 2164-7070
SSRN
Working paper
In: Environmental science and pollution research: ESPR, Band 25, Heft 12, S. 11875-11883
ISSN: 1614-7499
In: Ning bo wen hua yan jiu gong cheng. Li shi wen xian zheng li
In: 宁波文化研究工程。历史文献整理
In: Environmental science and pollution research: ESPR, Band 30, Heft 11, S. 30727-30740
ISSN: 1614-7499
In: Group decision and negotiation, Band 31, Heft 3, S. 531-553
ISSN: 1572-9907
In: Journal of Time Series Analysis, Band 40, Heft 3, S. 327-342
SSRN
In: Rural sociology, Band 84, Heft 1, S. 28-65
ISSN: 1549-0831
AbstractA wealth of research identifies industrial structure as a central correlate of place‐level poverty and suggests that changes in and the clustering of industry contribute to the spatial clustering of poverty over time. However, few studies have investigated the spatial and temporal dimensions simultaneously, and none have effectively examined spatiotemporal interactions. Consequently, a core tenet of theory on poverty in place has not been adequately examined. To address this limitation, we explicitly test hypotheses about systematic variation in the poverty‐industry relationship over time and across space using a new method to quantify dynamic associations by simultaneously accounting for spatial and temporal autocorrelation and relationship heterogeneity. The Upper Midwest is our study site given dramatic regional changes in dominant industries (i.e., manufacturing, services, and agriculture) and poverty during the past several decades. We find that the specific character of the poverty‐industry relationship systematically varies along both the temporal and spatial dimensions: Industry is more protective in certain periods than in others according to sector trends, and is more protective in certain places than others conditional on sector dependence. Our approach yields a more precise and reliable understanding of the effect of the long reach of local industrial structure on the spatial clustering of poverty.
In: Annals of work exposures and health: addressing the cause and control of work-related illness and injury, Band 61, Heft 2, S. 183-194
ISSN: 2398-7316