Comparisons of the structure and infrastructure of Chinese and Indian Science and Technology

A comparison was made of the research output literatures of India and China. Both bibliometric and computational linguistics approaches were used in the comparison. China has rapidly outpaced India in both volume and citation performance of publications. China's rapid publication growth rate over the past two decades is continuing, while India's is re-starting after a relatively dormant period of almost two decades.     

Literature-related discovery (LRD): Potential treatments for Raynaud's Phenomenon

Literature-related discovery (LRD) is the linking of two or more literature concepts that have heretofore not been linked (i.e., disjoint), in order to produce novel, interesting, plausible, and intelligible knowledge (i.e., potential discovery). The open discovery systems (ODS) component of LRD starts with a problem to be solved, and generates solutions to that problem through potential discovery. We have been using ODS LRD to identify potential treatments or preventative actions for challenging medical problems, among myriad other applications.Raynaud's Phenomenon (RP) is a condition in which small arteries, most commonly in fingers and toes, contract and cause the skin to turn pale or a patchy red to blue. We selected the subject of RP for analysis by LRD because of RP's global prevalence, and its apparent intractability to all treatments except for palliative remediation mainly through drugs or surgery. Our main goal was to identify non-drug non-surgical treatments that would 1) prevent the occurrence, or 2) reduce the progression rate, or 3) stop the progression, or 4) maybe even reverse the progression, of RP. Our secondary goal was to compare our ODS LRD approach to the RP problem with other investigators who have addressed the RP problem since Swanson's pioneering 1986 ODS LRD paper on potential RP treatments [D.R. Swanson, Fish oil, Raynauds syndrome, and undiscovered public knowledge, Perspectives in Biology and Medicine 30 (1) (1986) 7-18].We used Medline from 1965-1985 to identify potential discovery for RP. We differ from all the other authors who have addressed this problem in two major respects: we make no numerically-based filtering assumptions, and we generate substantial potential discovery (∼ 130 potential discoveries). Further, we believe our reported results are the tip of the iceberg. Much more potential discovery is possible with an adequately resourced study using the lessons learned from this demonstration study and the other demonstration studies that follow in this Special Issue.     

Dodging Adverse Selection: How Donor Type and Governance Condition Aid’s Effects on School Enrollment

We employ AidData to test the effects of primary-education aid on school enrollment. We argue that the problem of adverse selection complicates both the allocation and the effectiveness of aid. We hypothesize that bilateral donors ought to have greater freedom to condition aid on recipient governance quality than multilateral donors, which are often bound by institutional rules to provide aid more impartially. Compared to their multilateral counterparts, bilateral donors may have advantages in overcoming adverse selection, resulting in bilateral aid’s boosting enrollments to a greater degree. AidData’s extensive coverage of multilateral aid enables this analysis for up to 100 low- and low-middle-income countries from 1995 to 2008. Latent growth regression analysis suggests that, compared to multilateral donors, bilateral donors indeed condition their primary education aid on recipient control of corruption and that bilateral aid is significantly related to improved enrollments.     

Employment and output effects of federal regulations on small business

This paper examines the disparate impact of US federal regulations on small businesses. Using a two-sector dynamic general equilibrium model, we obtained two implications of higher regulation on small firms that have yet to be empirically tested in the published literature. First, as regulations increase, small firms’ share of employment shrinks. Second, as regulations rise, small firms’ share of total output falls. Using a panel of industry-specific US regulatory restrictions, we found that a 10% increase in federal regulations was associated with an approximate 0.8% reduction in small firms’ share of industry employment and a nearly 1.5% decline in small firms’ share of industry output.     

Regulation,entrepreneurship, and firm size

Journal of Regulatory Economics - We empirically investigate the theory that regulatory growth within an industry disproportionately burdens small businesses relative to their larger competitors....