Search results

This chapter advances a panel vector autoregressive/vector error correction model (PVAR/PVECM) framework for purposes of examining the sources and determinants of cross-country variations in macroeconomic performance using large cross-country data sets. Besides capturing the simultaneity of the potential determinants of cross-country variations in macroeconomic performance and carefully separating short- from long-run dynamics, the PVAR/PVECM framework advanced allows to capture a variety of other features typically present in cross-country macroeconomic data, including model heterogeneity and cross-sectional dependence. We use the PVAR/PVECM framework we advance to reexamine the dynamic interrelation between investment in physical capital and output growth. The empirical findings for an unbalanced panel of 90 countries over the time period from at most 1950 to 2000 suggest for most regions of the world surprisingly strong support for a long-run relationship between output and investment in physical capital that is in line with neoclassical growth theory. At the same time, the notion that there would be even a long-run (let alone short-run) causal relation between investment in physical capital and output (or vice versa) is strongly refuted. However, the size of the feedback from output growth to investment growth is estimated to strongly dominate the size of the feedback from investment growth to output growth.

There is now a large, if rather contentious and inconclusive, cross-country empirical literature on the effectiveness of aid in contributing to economic growth. Surprisingly, perhaps, there are very few country studies of aid effectiveness, and none of which we are aware that adopt a time series econometric approach to analyzing the impact of aid on growth. This chapter is an attempt to fill that gap, through a study of Kenya over the period 1964–2002. The core hypothesis underlying our approach is that aid does not have a direct effect on growth, but can have indirect effects through mediating channels. Given the requirements of time series techniques, we focus on two channels for the aid-growth relationship, one through effects on government fiscal relationship (as aid finances public spending) and another through effects on investment (as aid finances public investment). The analysis is no more than indicative but suggests a number of reasons why aid has not been effective in Kenya: reliance on aid loans to finance unanticipated budget deficits, low productivity of public investment and adverse effects of government behavior on private investment. Addressing these deficiencies is necessary if Kenya is to be enabled to utilize aid to improve its poor economic performance.

This paper examines the application of real option theory to sequential investment decision-making. In an effort to contribute to the development of criteria that discriminate between investments that confer growth options from those that confer deferral options, we introduce a conceptual model that explains technological adoption as a sequence of embedded options. Upon the introduction of each successive technological generation, a firm may either defer investment and wait for the arrival of a future generation or invest immediately to obtain experience that provides a claim on adoption of subsequent generations. We propose that deferral and growth option value is dependent on the magnitude, frequency, and uncertainty of inter-generational change, and the nature of rivalry.

Purpose: In reality, financial decisions are made under conditions of asymmetric information that results in either favorable or adverse selection. As far as financial decisions affect growth of the firm, the latter must also be affected by either favorable or adverse selection. Therefore, the core objective of this chapter is to examine the determinants of each financial decision and the effects on growth of the firm under conditions of information asymmetry.

Design/Methodology/Approach: This chapter uses data for the non-financial firms listed in S&P 500. The data cover quarterly periods from 1989 to 2014. The statistical tests include linearity, fixed, and random effects and normality. The generalized method of moments estimation method is employed in order to examine the relative significance and contribution of each financial decision on growth of the firm, respectively. Standard and proposed proxies of information asymmetry are discussed.

Findings: The results conclude that there is a variation in the impact of financial variables on growth of the firm at high and low levels of information asymmetry especially regarding investment and financing decisions. A similar picture emerges in the cases of firm size and industry effects. In addition, corporate dividen d policy has a similar effect on firm growth across all asymmetric levels. These findings prove that information asymmetry plays a vital role in the relationship between corporate financial decisions and growth of the firm. Finally, the results contribute to the vast literature on the estimation of information asymmetry by demonstrating that the classical and standard proxies for information asymmetry are not consistent in terms of the ability to differentiate between favorable or adverse selection (which corresponds to low and high level of information asymmetry).

Originality/Value: This chapter contributes to the related literature in two ways. First, this chapter offers updated empirical evidence on the way that financing, investment, and dividends decisions are made under conditions of favorable and adverse selection. Other related studies deal with each decision separately. Second, the study offers new proxies for measuring information asymmetry in order to reach robust estimates of the effects of financial decisions on growth of the firm under conditions of agency problems.

Over the last two decades Middle East and North African (MENA) countries like much of the developing countries have experienced a wave of liberalization of their financial sectors. There have been expectations that financial liberalization would enhance economic growth by stimulating savings and investment. The purpose of this chapter is three-folds: (1) to review the literature on the rationale for financial repression; (2) to examine the theoretical and empirical literature on the links between financial liberalization, savings, and investment; and (3) to assess empirically the effect of financial reforms on economic performance in the specific case of MENA countries.