ADOPTION OF MODERN VARIETIES AND FERTILIZER USE ON RICE IN THE EASTERN TARAI OF NEPAL

Factors influencing the adoption of MV (modern variety) rices and fertilizer in the Tarai of southeastern Nepal were examined through multivariate probit (varietal adoption) and tobit (fertilizer adoption and use rates) regression models. This study reaffirms the finding that the adoption of modern rice technology is highest where irrigation exists. Tenure status and access to credit were significantly related to varietal adoption but family and farm size and the operator's education were not. Similar variables, in addition to fertilizer price, influenced the probability of fertilizer adoption and use rates on rice.     

Macroeconomic Fragility and Exchange Rate Vulnerability: A Cautionary Record of Transition Economies

The interaction between the exchange rate regime and macroeconomic stabilization in several transition economies during 1990–1996 was influenced by the persistence of high inflation rates and the initial disequilibrium between the highly undervalued nominal exchange rates in relation to their purchasing power parity estimates. Policymakers generally adopted the flexible (nominal) exchange rate regimes for manipulating real exchange rates with a view to correcting the exchange rate disequilibrium and conveying inflation control signals. The rates of real appreciation were higher in the earlier years of high inflation rates. By 1996, lower inflation rates required less currency appreciations thereby reducing the negative impact of the latter on trade competitiveness. However, the persistence of unwarranted interest rate differentials, a consequence of the domination of monetary control over prudent fiscal management, and the associated inflows of foreign funds put an upward pressure on exchange rates exacerbating trade competitiveness. The transition record suggests that innovative exchange rate arrangements can provide only a brief interval during which sound fiscal discipline needs to be put in place for controlling inflation.J. Comp. Econom.,December 1998, 26(4), pp. 621–641. Columbia University, New York, New York 10027.     

Regional Cooperation Toward Green Asia: Trade in Low Carbon Goods

Governments in the Asian region have been taking actions in the form of voluntary targets and policy commitments to improve the production and use of low carbon goods (LCG). However, these commitments are often challenged by many constraints, such as technological barriers and financial deficiencies. Within this context, the main objective of this study is to measure the potential of major emerging Asian economies for exports in LCG under the grand regional coalition, partial regional coalition, and standalone scenarios. The analysis indicates that emerging Asian economies will increase their export potential in LCG more under the grand coalition scenario.     

Antecedents and Consequences of Mutual Trust in PPPs

This article aims to identify the antecedents and consequences of mutual trust in public-private partnerships (PPPs), making use of the theory of mutual trust to develop the conceptual model. The article then tests hypotheses to find the role of trust in PPPs and also to identify the antecedents and consequences. Data have been collected from personnel working in government, corporate and non-profit sectors related to a post-earthquake psychological rehabilitation program in China. A total of 234 usable responses have been obtained with a return rate of 69.2%. The results of structural equation modeling show that while mutual communication, corporate reputation, and shared value influence mutual trust between partners positively, opportunism exerts negative influence on trust; in addition, trust also influences performance, commitment, and long-term relationships between partners. We conclude that mutual trust eliminates opportunism and increases confidence between partners, leading to improved inter-firm performance. If the partners establish trust in the PPP, they reap all other benefits of cooperation of PPPs.     

Agent-based modelling as a foundation for big data

In this article, we propose a process-based definition of big data, as opposed to the size- and technology-based definitions. We argue that big data should be perceived as a continuous, unstructured and unprocessed dynamics of primitives, rather than as points (snapshots) or summaries (aggregates) of an underlying phenomenon. Given this, we show that big data can be generated through agent-based models but not by equation-based models. Though statistical and machine learning tools can be used to analyse big data, they do not constitute a big data-generation mechanism. Furthermore, agent-based models can aid in evaluating the quality (interpreted as information aggregation efficiency) of big data. Based on this, we argue that agent-based modelling can serve as a possible foundation for big data. We substantiate this interpretation through some pioneering studies from the 1980s on swarm intelligence and several prototypical agent-based models developed around the 2000s.     

Economic Consequences of IFRS Adoption: The Role of Changes in Disclosure Quality*

This study adopts a two‐step approach to highlight the disclosure quality channel that drives economic consequences of IFRS adoption. This approach helps address the identification challenge noted by prior research and offers direct evidence on the role of disclosure quality. In the first step, we document the impact of the IFRS mandate on changes in disclosure quality proxied by the granularity of line item disclosure in financial statements. We find that IFRS‐adopting firms provide more disaggregated information upon IFRS adoption, such as more granular disclosure of intangible assets and long‐term investments on the balance sheet and greater disaggregation of depreciation, amortization, and nonoperating income items on the income statement. In the second step, we link the observed disclosure changes to the benefits and costs of IFRS adoption. We show that greater disaggregated information due to IFRS adoption enhances market liquidity and decreases information asymmetry, but does not affect audit fees differentially. Our evidence has implications for standard setters as they evaluate cost‐benefit trade‐offs when considering disclosure changes in the future.     

Size Effects in the Pricing of Corporate Bonds

Large orders for corporate bonds get preferential treatment unlike large orders for stocks on the NYSE. A structural explanation, namely, that the corporate bond market is dealer‐dominated, has been offered for the favorable pricing. In this paper, we offer an additional explanation, namely, that the improved pricing for large orders is due to the net impact such orders have on a market maker's costs. Using a data sample that is substantially free of timing mismatch, we support our assertion by sorting the sample into ‘brokered’ trades, which are trades where the dealer merely crosses buy and sell orders and ‘inventoried’ trades, where the dealer trades out of his inventory. We find that large orders raise information costs, but lower inventory costs for ‘inventoried’ trades. The net result is a smaller price advantage than received by large orders on ‘brokered’ trades which are not subject to these costs.     

Good Stewards, Cheap Talkers, or Family Men? The Impact of Mutual Fund Closures on Fund Managers, Flows, Fees, and Performance

We examine a sample of 125 equity mutual funds that closed tonew investment between 1993 and 2004. We find that funds closefollowing a period of superior performance and abnormal fundinflows. Fund managers raise their fees when they close to compensatemanagers for losses in income due to the restrictions in sizeimposed by the fund closure decision. Managers reopen when fundsize declines. However, they do not earn superior returns afterreopening, suggesting that the fund closure decision does notprovide information about superior fund managers. (JEL G14,G23)     

Institutional Ownership and the Extent to which Stock Prices Reflect Future Earnings*

Articles in the financial press suggest that institutional investors are overly focused on current profitability, which suggests that as institutional ownership increases, stock prices reflect less current period information that is predictive of future period earnings. On the other hand, institutional investors are often characterized in academic research as sophisticated investors and sophisticated investors should be better able to use current‐period information to predict future earnings compared with other owners. According to this characterization, as institutional ownership increases, stock prices should reflect more current‐period information that is predictive of future period earnings. Consistent with this latter view, we find that the extent to which stock prices lead earnings is positively related to the percentage of institutional ownership. This result holds after controlling for various factors that affect the relation between price and earnings. It also holds when we control for endogenous portfolio choices of institutions (e.g., institutional investors may be attracted to firms in richer information environments where stock prices tend to lead earnings). Further, a regression of stock returns on order backlog, conditional on the percentage of institutional ownership, indicates that institutional owners place more weight on order backlog compared with other owners. This result is consistent with institutional owners using non‐earnings information to predict future earnings. It also explains, in part, why prices lead earnings to a greater extent when there is a higher concentration of institutional owners.