Gross state product for the eight BEA regions are tested for stationarity and for cointegration with national gross domestic product. All eight regional GSP and GDP are…
Abstract
Gross state product for the eight BEA regions are tested for stationarity and for cointegration with national gross domestic product. All eight regional GSP and GDP are characterized by a random walk. None of the eight regional GSP are cointegrated with GDP. Between the regions, the results are mixed, however we conclude that there is no cointegration between any of the regions. The results imply that there is no equilibrating mechanism that keeps the regions from drifting apart from each other or from national GDP.
Sawsan Abutabenjeh, Stephen B. Gordon and Berhanu Mengistu
By implementing various forms of preference policies, countries around the world intervene in their economies for their own political and economic purposes. Likewise, twenty-five…
Abstract
By implementing various forms of preference policies, countries around the world intervene in their economies for their own political and economic purposes. Likewise, twenty-five states in the U.S. have implemented in-state preference policies (NASPO, 2012) to protect and support their own vendors from out-of-state competition to achieve similar purposes. The purpose of this paper is to show the connection between protectionist public policy instruments noted in the international trade literature and the in-state preference policies within the United States. This paper argues that the reasons and the rationales for adopting these preference policies in international trade and the states' contexts are similar. Given the similarity in policy outcomes, the paper further argues that the international trade literature provides an overarching explanation to help understand what states could expect in applying in-state preference policies.
Zo Ramamonjiarivelo, Larry Hearld, Josué Patien Epané, Luceta Mcroy and Robert Weech-Maldonado
Public hospitals have long been major players in the US health care delivery system. However, many public hospitals have privatized during the past few decades. The purpose of…
Abstract
Public hospitals have long been major players in the US health care delivery system. However, many public hospitals have privatized during the past few decades. The purpose of this chapter was to investigate the impact of public hospitals' privatization on community orientation (CO). This longitudinal study used a national sample of nonfederal acute-care public hospitals (1997–2010). Negative binomial regression models with hospital-level and year fixed effects were used to estimate the relationships. Our findings suggested that privatization was associated with a 14% increase in the number of CO activities, on average, compared with the number of CO activities prior to privatization. Public hospitals privatizing to for-profit status exhibited a 29% increase in the number of CO activities, relative to an insignificant 9% increase for public hospitals privatizing to not-for-profit status.
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It's not enough to simply acquire alternative and small‐press materials. They must also be made easily accessible to library users by means of accurate, intelligible, and thorough…
Bond rating studies have received and continue to receive considerable attention in the literature on government finance. This study focuses on two major issues of municipal bond…
Abstract
Bond rating studies have received and continue to receive considerable attention in the literature on government finance. This study focuses on two major issues of municipal bond ratings that occupy the center-stage of these discussions: What charac-teristics does a rating institution analyze when assigning rating to a government? How significant are these characteristics in predicting the ratings given by these institutions? Using a combination of economic, financial, and demographic factors, the study reexamines these questions on a select group of cities.
Shaohua Yang, Murtaza Hussain, R.M. Ammar Zahid and Umer Sahil Maqsood
In the rapidly evolving digital economy, businesses face formidable pressures to maintain their competitive standing, prompting a surge of interest in the intersection of…
Abstract
Purpose
In the rapidly evolving digital economy, businesses face formidable pressures to maintain their competitive standing, prompting a surge of interest in the intersection of artificial intelligence (AI) and digital transformation (DT). This study aims to assess the impact of AI technologies on corporate DT by scrutinizing 3,602 firm-year observations listed on the Shanghai and Shenzhen stock exchanges. The research delves into the extent to which investments in AI drive DT, while also investigating how this relationship varies based on firms' ownership structure.
Design/methodology/approach
To explore the influence of AI technologies on corporate DT, the research employs robust quantitative methodologies. Notably, the study employs multiple validation techniques, including two-stage least squares (2SLS), propensity score matching and an instrumental variable approach, to ensure the credibility of its primary findings.
Findings
The investigation provides clear evidence that AI technologies can accelerate the pace of corporate DT. Firms strategically investing in AI technologies experience faster DT enabled by the automation of operational processes and enhanced data-driven decision-making abilities conferred by AI. Our findings confirm that AI integration has a significant positive impact in propelling DT across the firms studied. Interestingly, the study uncovers a significant divergence in the impact of AI on DT, contingent upon firms' ownership structure. State-owned enterprises (SOEs) exhibit a lesser degree of DT following AI integration compared to privately owned non-SOEs.
Originality/value
This study contributes to the burgeoning literature at the nexus of AI and DT by offering empirical evidence of the nexus between AI technologies and corporate DT. The investigation’s examination of the nuanced relationship between AI implementation, ownership structure and DT outcomes provides novel insights into the implications of AI in the diverse business contexts. Moreover, the research underscores the policy significance of supporting SOEs in their DT endeavors to prevent their potential lag in the digital economy. Overall, this study accentuates the imperative for businesses to strategically embrace AI technologies as a means to bolster their competitive edge in the contemporary digital landscape.
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The diversity of ideas and information is central to the meaning of libraries—we enshrine it, and too frequently that is the word—in our Library Bill of Rights and other…
Abstract
The diversity of ideas and information is central to the meaning of libraries—we enshrine it, and too frequently that is the word—in our Library Bill of Rights and other documents. This diversity of ideas is more than a passive concept, not just one of defending materials already in our collections, though that is a basic and important role for librarians and one that we are reminded of by Drake, Fairhope, and Kannawha counties. But to support this intellectual freedom we all need to actively promote the widest possible range of opinions, of concepts, of expression. And to do this we need more than the output of Gulf & Western, the Columbia Broadcasting System, Mattel, or Times Mirror. If these names seem unfamiliar in library work to some of you, perhaps you know them through their subsidiaries, Golden Books, Pantheon, and Simon & Schuster.