The role of brand schemas,information transparency,and source of message on apparel brands' social responsibility communication

In today's complex business environment, apparel brands are communicating about their socially responsible (SR) practices through marketing messages to create a niche for themselves and show their SR efforts. However, SR aspects of products are difficult to verify by consumers. To help brands effectively communicate their SR efforts, this study assessed how consumers process an apparel brand's SR messages based on their prior experiences with that brand (brand schemas). Information transparency on messages and source of messages were tested as external cues to influence consumers' brand schemas and SR message evaluations in a mixed method repeated measures online experiment using a national US consumer sample. Results from regression-based conditional process analyses indicated that increased congruity of consumers' schemas to the fact that brands are SR led to more favorable attitude toward brands' SR messages. Also, presence of high information transparency on SR messages influenced consumers' schemas positively, and in turn, they evaluated messages more favorably. However, consumers were not influenced by whether messages were made by brands or third-party organizations. The study results show the importance of brand schemas and information transparency on apparel brand communications, helping both apparel brands and educators create effective SR-related marketing strategies.     

On the Systemic Fragility of Finance‐Led Growth

The paper sets up a model of economic crisis by investigating the role played by movement in asset price as a driver of the dynamic interaction between the real and the financial sectors. Such movement influences income determination in the real economy in the short period through aggregate demand leading to the emergence of two macroeconomic regimes. A short period flow model, underpinned by the stock flow consistent accounting framework, is developed to formalize the dynamics of interaction between real and financial sectors mediated by movement in asset price, generates bistability, abrupt crashes, and systemic fragility in the macroeconomic regimes.     

Financial Liberalization and Allocation of Capital: Dark Side of the Moon

Although it is well established that financial liberalization leads to a positive ‘quantity effect’ with higher levels of investment, it remains uncertain whether it also improves the efficacy with which such investment funds are allocated. This paper contributes to this sparely researched aspect of liberalization (‘quality effect’) by carefully examining if the financial reforms in India have led to an improvement in the allocation of resources. Since one of the premises of better allocation is that funds are channelled to firms with higher marginal returns to capital (measured by Tobin’s Q), we propose three unique measures to track the efficiency of resource allocation: (a) dispersion-based measures; (b) the allocative efficiency index; and (c) the relative value of allocation. Contrary to the prevalent assumption that financial liberalization leads to higher capital allocation efficiency, this study’s findings could not establish a direct correlation between the opening up of markets and higher allocation efficiency, except for the latter part of the reform period. Further, this paper draws attention to the greater misallocation of funds in the post-reform period, as the increase in funds availability leads to excess capacity creation in some industries without consideration of the need for concurrent return or demand. The authors of this paper recommend that any financial liberalization needs to be accompanied by the setting up of institutions for corporate control, particularly in an emerging market like India.

     

Determinants of corporate borrowing: Some evidence from the Indian corporate structure

In contrast to previous empirical work on capital structure, which is mainly confined to the United States and a few other advanced countries, this paper attempts to study the capital structure choice of developing countries through a case study of the Indian corporate sector. The paper shows that the optimal capital structure choice is influenced by factors such as growth, cash flow, size, and product and industry characteristics.     

On the dynamics of profit-led and wage-led growth

This paper examines how variable output and profit share jointlydetermine investment and saving, while the difference betweeninvestment and saving drives the changes in output and profitshare. Analysis of the resulting pair of differential equationsyields novel implications for the multiplier process. In thismore general framework a number of separate strands of the Keynesian-inspiredliterature can be understood. In particular, the model incorporatesboth forced saving and profit squeeze to analyse the stabilityof the dynamical system, and brings out the complex relationbetween in and out-of-equilibrium profit-led and wage-led regimes.     

R&D and Technological Learning in Indian Industry: Econometric Estimation of the Research Production Function

Estimation of research production functions has produced rich and useful results for developed countries in the past. This paper makes a pioneering attempt to estimate the same in the context of a less-developed country (LDC) (India). The objective is to examine the process of technology generation and learning in Indian industry. The existing literature recognizes two principal characteristics of technological activities in LDCs. First, their R&D effort is geared towards "minor" as opposed to "major" innovations. Second, technological learning constitutes an integral part of their research thrust. This paper attempts to capture these characteristics in a rigorous econometric framework by estimating a comprehensive research production function incorporating the role of learning. We use Indian firm-level in-house R&D data for two sectors: pharmaceuticals and electronics. Our study not only captures the role of learning in determining research effort and research output, but also re-examines some of the existing hypotheses relating to the effects of firm size, technology import and ownership. We find that the two sectors display two distinct learning trajectories, but in both cases learning proves to be crucially important in technology generation.     

Stock prices, inflation and output: Evidence from wavelet analysis

The negative relationship between real stock return and inflation puzzled many as it contradicts conventional Fisherian wisdom. Fama [Fama, E.F. (1981), “Stock returns, real activity, inflation and money”, American Economic Review, 71(September), 545–564.] gave an explanation for this negative relationship with two propositions that links real stock return and inflation through real output. This study revisits Fama's hypothesis for India in the post-liberalized period from a developing country perspective. Examining this relationship on the time-scale decomposition from a wavelet multi-resolution analysis suggests that Fama's hypothesis holds only for the long time scale and remains as a puzzle for the other time scales.     

Inflation Forecast: Just use the Disaggregate or Combine it with the Aggregate

Journal of Quantitative Economics - Using data from India, the paper provides three stylize facts about the inflation forecasting: (a) using disaggregate data helps to achieve gains in forecast...