The economic and social role of small stores: a review of UK evidence

There is considerable concern in the United Kingdom regarding the growing power of supermarkets, a concern that culminated recently in a UK Competition Commission enquiry into the grocery sector. Against this backdrop, some suppliers, independent retailers and societal groups have been critical of the investigation, implying that it did not do justice to the role of small stores in society, and that this issue is insufficiently understood by policy-makers. To address this need, this article reviews and assesses the available UK evidence on the social and economic role of small independent stores and the values that are attached to them by the communities they serve. This is achieved using the Systematic Literature Review methodology. The purpose of the article is to gauge the evidence as a platform for wider debate on how the role of small stores can be maintained and enhanced. The article identifies key themes and gaps in the literature as a basis for identifying research priorities and highlights implications for public policy and planning.     

The DIME System: A Preliminary Report

Investment management is a complex, yet promising, domain for the application of intelligent automation. In this paper we discuss the Diversified Investment Management Expert (DIME) system which is under development. DIME is designed to operate in a dynamic environment and hence one of its salient features is its knowledge acquisition via learning. The system starts out with some rules built into it, and machine-learning techniques are used to acquire further knowledge with time. In this paper we focus on how similarity-based learning (SBL) is used to acquire new rules and explanation-based learning (EBL) to refine the built-in rules and the newly acquired ones.     

The Interpretation of Information and Corporate Disclosure Strategies

This paper analyzes a setting in which a firm's manager can credibly disclose facts, but not their valuation implications. Consequently, he is uncertain as to how those disclosed facts will be interpreted by investors. Introducing such uncertainty affects the manager's disclosure strategy in two important ways. First, it becomes a function of the market's prior valuation of the firm since that valuation provides a clue as to how future disclosures are likely to be interpreted by investors. Second, the disclosure strategy is no longer characterized, in general, by a single good news/bad news partition of the manager's private information.     

What drives credit risk in the Indian banking industry? An empirical investigation

Using a two-step system GMM approach on a unique bank-level dataset for the period 1998/99–2013/14, this paper tries to explore the key determinants of credit risk in the Indian banking industry. The main premise of this paper is that, along with regulatory and institutional factors, both macroeconomic and bank-specific variables influence the formation of credit risk in a banking system, and their influences vary across ownership groups. The empirical findings suggest that lower profitability, more diversification in the banking business, the large size of banks and a higher concentration of banks in lending increase the probability of defaults in India. We find a significant degree of persistence in credit risk, and the observed persistence is higher in the gross non-performing loans (NPLs) specification relative to what has been observed in the net NPLs specification. In the case of public sector banks, NPLs are more sensitive to internal bank-specific factors, while for private and foreign banks, macroeconomic and industry-related factors play a significant role in determining credit risk. Our results are robust for different panel data estimation models and sub-samples of ownership groups. The findings of this paper provide important insights into the formation of default risk in the banking system of an emerging market economy.     

Asymmetric effects of oil shocks on stock market returns in Saudi Arabia: evidence from industry level analysis

We examine the impact of oil price shocks on stock market returns in Saudi Arabia using the country-level as well as the industry-level stock market data. We find that the relation between changes in oil prices and equity returns is positive and significant at the country-level and at the industry level. Our results show that oil prices have asymmetric effects on equity returns for 4 out of 15 industrial sectors (e.g., hotel and tourism, insurance, multi-investment, and petrochemicals). These results have significant implications for investors, portfolio managers, policymakers, and corporate finance managers.     

Lower tick sizes and futures pricing efficiency: evidence from the emerging Malaysian market

We provide robust evidence of the impact on spot market liquidity and the pricing efficiency of FBM-FKLI index futures following the introduction of lower tick sizes for the stocks listed in the Bursa Malaysia. Our findings show a significant increase in unexpected trading volume and the speed of mean reversion of the futures mispricing. We find that the increase in the unexpected trading volume of the underlying stocks helps in reducing inter-market price discrepancies. The findings offer new evidence that lowering of tick sizes improves pricing efficiency in the Malaysian futures market.

     

The Innovation‐R&D Nexus in an Emerging Economy: Evidence from the Indian Manufacturing Sector

While R&D is considered an important input for innovation, its relationship with the output of the innovation process continues to remain enigmatic, especially in developing countries with low levels of domestic research. Using patents and knowledge capital stock as proxies for the output and input of the innovation process, we study their nexus in the emerging economy of India using a large sample of manufacturing firms over the period 2001–2010. Using a specification that addresses the problem of ‘excess zeroes’ in count data, the firm's non‐technical knowledge stock as an additional factor of the success with which R&D transforms into patents, and a linear feedback mechanism that yields consistent estimators, we find that a one unit increase in knowledge capital likely raises expected patent count by only about 4.3% at most. Further, although patenting experience, resource access and knowledge spillovers are strongly significant in explaining patent counts, the magnitude of these effects is marginal at best. In brief, evidence for the knowledge production function is rather weak even in the context of a dynamic developing economy.     

Income Distribution and the Demand Constraint

This paper argues thatthe interaction between inequality and the demand patterns forgoods is a potential source of persistent inequality. Incomedistribution, in the presence of non-homothetic preferences,affects the demand for goods and, due to differences in factorintensities across sectors, it alters the return to factors ofproduction and the initial distribution of income. Low inequalityleads to high demand for medium skilled intensive goods, providinga bridge over which low skill dynasties may transition to thehigh-skilled sector in the long run. Under high inequality however,the initial lack of demand for medium skilled labor breachesthis bridge from poverty to prosperity and inequality persists.