Understanding the inflation–output nexus for China

In this article we examine several hypotheses relating to output and inflation dynamics in China. The hypotheses tests are based on the exponential generalised autoregressive conditional heteroskedasticity (EGARCH) model of Nelson [Nelson, D. (1991). Conditional heteroskedasticity in asset return: A new approach, Econometrica, 59, 347–370]. Our findings suggest that Chinese output–inflation behaviour is consistent with the hypothesis that increased inflation uncertainty lowers average inflation; the hypothesis that inflation volatility reduces economic growth and the hypothesis that higher output volatility increases economic growth. However, we find no support for the hypothesis that higher output volatility increases the average inflation rate.     

Is education the panacea for economic deprivation of Muslims?: Evidence from wage earners in India, 1987–2005

Few researchers have examined the nature and determinants of earnings differentials among religious groups, and none has been undertaken in the context of conflict-prone multi-religious societies like the one in India. We address this lacuna in the literature by examining the differences in the average log earnings of Hindu and Muslim wage earners in India, during the 1987–2005 period. Our results indicate that education differences between Hindu and Muslim wage earners, especially differences in the proportion of wage earners with tertiary education, are largely responsible for the differences in the average log earnings of the two religious groups across the years. By contrast, differences in the returns to education do not explain the aforementioned difference in average log earnings. In conclusion, we discuss some policy implications.     

Do US macroeconomic conditions affect Asian stock markets?

The aim of this paper is to examine the impact of US macroeconomic conditions—namely, exchange rate and short-term interest rate—on the stock markets of seven Asian countries (China, India, the Philippines, Malaysia, Singapore, Thailand, and South Korea). We use daily data for the period 2000–2010. We divide the sample into a pre-crisis period (pre-August 2007) and a crisis period (post-August 2007). We find that, in the short-run, the interest rate has a statistically insignificant effect on returns for all countries, except for the Philippines in the crisis period. On the other hand, except for China, regardless of the crisis, depreciation has a statistically significant and negative effect on returns. When the long-run relationship among the variables is considered, for five of the seven countries (India, Malaysia, the Philippines, Singapore, and Thailand), while there is cointegration in the pre-crisis period, in the crisis period there is no such relationship, implying that the financial crisis has actually weakened the link between stock prices and economic fundamentals.     

Market Justification for Policy on Small Enterprise Development

The process of liberalization in developing economies and the increasing competition faced by Small Enterprises raise crucial policy issues on small enterprise development. The policy maker in developing economies like India are faced with the option of supporting small enterprises through steps like reserving certain industries or by developing their ability to compete in niche markets. Enterprise level decisions are also critical for survival of these organisations. Selecting from these options require an understanding of the advantages that small enterprises have over the large enterprises. The advantage of flexibility and responsiveness to consumer needs of small enterprise is expected to result in customer satisfaction in a market with differing consumer needs. The hypothesis relates customer satisfaction to market share in a heterogeneous market. A field study is carried out among consumers of packaged butter in a state in India. The results do not indicate customer satisfaction with lower market share in a heterogeneous market.     

Predicting the antecedents of consumers' intention toward purchase of mutual funds: A hybrid PLS-SEM-neural network approach

The current study intends to identify the behavioural antecedents of investors' attitude and investment intention toward mutual funds using a robust SEM-ANN approach. It focuses on novel factors in the purview of the COVID-19 pandemic, increasing digitalization and social media usage. The research outcome indicates that attitude (ATB), awareness (AW) and investment decision involvement (IDI) have a significant positive relation with investment intention (BI). In contrast, perceived barrier (PBR) negatively relates to investment intention. Herd behaviour (HB) and social media influence (SMI) do not influence investment intention toward mutual funds. Moreover, all the tested predictors share direct relation with the attitude toward mutual fund investment, barring perceived risk (PR), which has an inverse relationship. As per the outcome of ANN sensitivity analysis, attitude is the most crucial determinant of investment intention. It is followed by awareness (AW), perceived barriers (PBR) and investment decision involvement (IDI). Among the significant determinants of attitude, self-efficacy (SE) is the most important determinant, followed by perceived usefulness (PU), perceived emergency (PEMER), subjective norms (SN) and perceived risk (PR).     

E-commerce sellers' ratings: Is user feedback adequate?

The literature on the theory of public procurement points out two well-known informational problems arising out of information asymmetry: (i) adverse selection and (ii) moral hazard. To reduce these issues and foster credibility and trust in the procurement process while maintaining quality and efficiency in public procurement, e-procurement platforms have turned to reputation or rating systems. Therefore, the research and design of such rating systems are crucial. In this study, we discuss the theoretical underpinnings of procurement and employ the information-theoretic, regression analysis, artificial neural network and principal component analysis (PCA) approaches to estimate the weights of the variables entering the rating system. Using real data from Government e-Marketplace, a business-to-business public e-commerce portal, we empirically determine the weights of the rating variables derived from the transaction-level and user feedback data for sellers. The weights obtained from the PCA are the most applicable compared with the other three methods. We compare the old rating system with the newly proposed design using the Wilcoxon signed-rank test. This results in a statistically significant difference between the two ratings. The canonical correlation and Wilks' trial reveal that the ratings derived from transaction-level data and user feedback are uncorrelated to a great extent. Hence, considering only transaction-level data or user feedback is unlikely to divulge sellers' intrinsic worth. E-commerce platforms can use this approach to quickly implement methods to obtain rating scores on a real-time basis for sellers on online platforms.     

U.S.-China trade war and competitive advantage of Vietnam

China has been losing international competitiveness in labor-intensive industries due to various factors, including the trade war with the United States and globalization. Vietnam, however, has rapidly expanded its labor-intensive exports. The paper proposes to explore the future of labor-intensive industries in Vietnam due to the U.S.-China trade war. The paper examines export performance data from United Nation Comtrade for 10 specific labor-intensive industries that serve the U.S. market between 2000 and 2020 to assess the possibility of Vietnam overtaking China's position as the world's largest manufacturer. Using situation analysis, the paper compares the competitive advantage of Vietnam in labor-intensive industries due to the U.S.-China trade war. The paper found that China's competitiveness was negatively impacted for the final two periods, while Vietnam's competitive advantage increased.     

Foreign Direct Investment and Domestic Child Labor

Empirical evidence suggests that use of child labor as domestic help has increased significantly in recent years although the overall incidence of child labor across the globe has declined satisfactorily. This should draw the attention of economists and policymakers because domestic child labor is considered as exploitative and in many cases hazardous. This paper purports to explain this apparently perplexing finding theoretically in terms of a three‐sector general equilibrium model with a nontraded sector where only child labor is used to render services to the richer section of the society. The analysis shows how FDI‐led economic growth increases the size of the services sector although it lowers the overall incidence of child labor in the economy and improves the welfare of the poor families that supply child labor. Finally, a composite policy has been recommended that can deal with all three aspects favorably.