Effects of Trade Unions on Workers' Job Satisfaction: Evidence from China
In: The Chinese economy: translations and studies, Band 56, Heft 3, S. 194-219
ISSN: 1558-0954
81 Ergebnisse
Sortierung:
In: The Chinese economy: translations and studies, Band 56, Heft 3, S. 194-219
ISSN: 1558-0954
In: University of Aberdeen Discussion Paper in Economics No. 17‐7
SSRN
Working paper
In: Science communication
ISSN: 1552-8545
This study explores the role of social media in public health through a case of carbon monoxide (CO) poisoning prevented and subsequently overlooked, as influenced by digital community interaction. A TikTok influencer shared an experience with a coal stove, leading to followers advising against its use due to CO poisoning risks. This advice was heeded, yet a family member, unaware of these risks, experienced CO poisoning. This incident illuminates social media's potential in disseminating life-saving health information and influencing behavior, forming the basis of "Media Epidemiology." This new field studies how digital communication impacts health-related behaviors and outcomes. Our analysis highlights social media as a tool for rapid health information dissemination and preventive action. It underscores the need for integrating digital platform dynamics into public health strategies, emphasizing education on hazards like CO poisoning. This study advocates for leveraging social media in public health, exemplifying its role in disease prevention and health promotion, and marking a significant stride in contemporary epidemiological research.
In: Environmental science and pollution research: ESPR, Band 31, Heft 1, S. 1692-1692
ISSN: 1614-7499
In: Environmental science and pollution research: ESPR, Band 30, Heft 57, S. 119711-119732
ISSN: 1614-7499
In: Environmental science and pollution research: ESPR, Band 29, Heft 16, S. 24112-24130
ISSN: 1614-7499
In: USAEE Working Paper No. 21-513
SSRN
SSRN
Working paper
In: CHIECO-D-22-00680
SSRN
In: China economic review, Band 81, S. 102038
ISSN: 1043-951X
The increasingly competitive market environment makes independent innovation the core of the enterprise's and evens the country's competitiveness. In order to solve the problem of its own limited R&D resources, firms need to find access to outside resources. Since the government mainly provides policy and financial support, the information diffusion and learning effects of executive networks can effectively compensate for the shortage of formal institutional arrangements. In view of this, we manually collect data on R&D expenditures and executive networks having common management members in China A-share listed companies from 2007 to 2010. Combined with corporate governance and government governance data, this paper empirically tests the influence of government governance and executive networks on enterprise innovation. The empirical results reveal that the governance efficiency of the government where the enterprise is located determines the efficiency of resource allocation firms are faced with, which provides institutional constraints on corporate R&D intensity, and that the establishment and scale of executive networks do contribute to R&D decisions. Further testing shows that compared with non-state-owned enterprises, state-owned enterprises are faced with relatively weaker restraints and pressures in terms of policy, finance, technology and competition. Thus, they show no obvious reliance on government governance quality and the information diffusion of executive networks. The findings of this study help us to understand the role of informal systems in social economics, such as relationship networks and social capital, in the context of China's economic development, and provide relevant evidence and enrich macro and micro studies of "government and market" and "market and enterprise" relationships.
BASE
SSRN
In: Environmental science and pollution research: ESPR, Band 22, Heft 23, S. 19264-19272
ISSN: 1614-7499
In: The economic journal: the journal of the Royal Economic Society
ISSN: 1468-0297
Abstract
We build and estimate a dynamic, structural model of the world oil market to quantify the impact of the shale revolution. We model the shale revolution as a decrease in shale production costs and find that the resultant increase in shale production lowers oil prices by 24% in the short run and 48% once the shale oil transition is complete. Current oil price volatility is lowered by 8% to 23% depending on the horizon. We also find that OPEC core acts to keep its market share constant in the face of the dramatic increase in shale production.