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Islamic capital markets, i.e. ICMs, featured as socially responsible investments, less levered and more reflective of the real sector, are a recent development in financial markets showing an impressive growth and offering the potential for portfolio diversification benefits. The purpose of this study is to understand the long-run integration of ICMs in the Asia/Pacific region.

This sample includes ICMs of Asia/Pacific region (such as Pakistan, India, China, Japan, Thailand, Malaysia and Indonesia) for 280 weeks between 2011 and 2016. Selected indexes are FTSE Islamic except for Pakistan and Indonesia. Evidence was obtained through the application of correlation, unit root, Johansen cointegration and Granger causality tests.

This study documents the results of the integration of ICMs based on developmental stage, geographic location, economic cooperation and shared religious beliefs/civilization. Partial support was observed for all hypotheses: integration of markets based on economic grouping, location, economic treaties and shared civilization. The Japanese market was the most integrated, while the Indian and Malaysian markets are the least. Evidence supports the shift of leadership role from advanced markets to emerging markets.

Selected diversification opportunities are available for global Islamic as well as conventional investors. This study recommends closer cooperation among Muslim majority countries of the region, as well as the effective use of economic cooperation treaties for joint economic growth and prosperity.

This study contributes to the literature by providing evidence on the integration of ICMs in an economically important region (Asia/Pacific) that is witnessing an increasing role in the global gross domestic product and international trade.

Foreign Direct Investment (FDI) is an important means of boosting the agricultural sectors of developing economies. The first necessary step to formulate effective public policies to encourage agricultural FDI inflow to a host country is to develop a comprehensive understanding of the main determinants of FDI inflow to the agricultural sector, which is the main objective of the present study.

In view of this, we take a comprehensive approach to exploring the macroeconomic and institutional determinants of FDI inflow to the agricultural sector by examining a large panel data set on agricultural FDI inflows of 37 countries, investigating both groups of developed and developing countries, incorporating a large list of potentially relevant macroeconomic and institutional variables, and applying panel-data econometric models and estimation structures, including pooled, fixed-effects and random-effects regression models.

The general pattern of our findings implies that the degree of openness of an economy has a negative effect on FDI inflows to agricultural sectors, suggesting that the higher the degree of openness in an economy, the lower the level of agricultural protection against foreign trade and imports, and thus the less incentive for FDI to inflow to the agricultural sector of the economy. Additionally, our results show that economic growth (as an indicator of the rate of market-size growth in the host economy) and per-capita real GDP (as an indicator of the standard of living in the host country) are both positively related to FDI inflows to agricultural sectors. Our other results suggest that agricultural FDI tends to flow more to developing countries in general and more to those with higher standards of living and income levels in particular.

FDI inflow has not received much attention with respect to the identification of its main determinants in the context of agricultural sectors. Additionally, there are very few panel-data studies on the determinants of FDI, and even more surprisingly, there are no such studies on the main determinants of FDI inflow to the agricultural sector. We have taken a comprehensive approach by studying FDI inflow variations across countries as well as over time.

Following the Arab Spring turmoil, Middle East and North African (MENA) countries’ overall instability has significantly increased which resulted in the decrease of foreign direct investment (FDI) flows. The purpose of this paper is to contribute to the research on determinants of FDI inflows to the MENA region by examining the relationship between state fragility and FDI.

A panel data analysis was conducted to study the impact of Fragile States Index (FSI) and its components, namely economic, social and political/military state fragility, on FDI inflows to seven MENA countries situated in the Southern and Eastern Mediterranean (SEMED) region over the period 2006-2016.

The results show that the increase of political state fragility deters FDI inflows to SEMED countries. By contrast, their economic and social state fragilities are insignificant for FDI. This could be explained by the fact that investors are usually attracted by government stability and a strong investment profile.

Given the fact that previous research has not yet validated FSI as a new FDI determinant, the results should be interpreted with some caution. It may also be worth examining the impact of FSI on FDI by industry sector in future studies.

The results reveal that FSI could help MNEs investing in the MENA region assess and better manage the economic, social and political/military risks they face.

This study introduces a new FDI determinant and stresses the importance of state fragility in attracting FDI.

This paper examines in some detail the magnitude, structure and patterns of foreign direct investment in Central and Eastern Europe between 1988 and 1993. The authors identify and describe three major forms of investment structuring and three operative investment strategies. Data show the actual flows of capital from their source countries to their countries of investment. These data are used to explain the differences in patterns of investment across the CEE. The number and types of foreign direct investments within individual countries are presented and discussed. The paper concludes by assessing the success to date of FDI.

Extending on the resource-seeking foreign direct investment (FDI) hypothesis, this paper aims to uncover the potential relationship between financial and non-financial channels and inward FDI before and after the global financial crisis.

The sample includes 561 year-country observations on 33 developed and developing countries during 2001 and 2017. This study investigates several determinants such as inflation, gross domestic product growth, exchange rate, trade openness, financial openness, Sharpe ratio and country market capitalization, using ordinary least squares, fixed effects and system generalized method of moments.

The results indicate a negative relationship between inflation and financial openness with FDI inflow while market capitalization and exchange rate were positively connected to FDI inflow. All three financial channels of FDI inflow: financial market size, financial openness and Sharpe ratio significantly influenced FDI inflow. Moreover, inflation, financial openness and Sharpe ratio imply a meaningful impact on the FDI inflow of developed and developing countries, with a relatively stronger influence during the post-crisis periods. Asymmetric impact tests also revealed similar results.

These findings offer an impression that financial market development channels may significantly boost FDIs in developing and, as well as developed countries. With special reference to the developing countries, a disciplined financial market and financial openness may help attract more FDIs.

Impact of the financial crisis on FDI inflows while observing the impact of the financing channels in developing and developed countries is rare in the academic domain. This study forwards that a structured and open financial market may help in recovering from the financial crisis.

The initiative from the world economic community to integrate different types of economies was globalization that ensured free flow of goods and services, it is popularly known as trade openness. The extension of this effort was to cover the flow of financial capital across the economies in terms of net foreign direct investment and foreign portfolio investment, the combination of these types of capital flow is called financial integration (FI). The primary objective of the policies of globalization and FI was to boost up the global as well as country-specific growth rates. Although a list of works is there in the literature on the related fields for different country or group levels, it is hardly to find such works in the highly emerging economies of the world. This study has strived to investigate whether globalization and FI at all influence the growth of incomes of the commonly accepted three top emerging economies, Brazil, China, and India. This study uses unit roots test, Johansen cointegration test, and causality test in a VAR setup for the period 1990–2016 to find long-run associations and short-run dynamics among the variables. It reveals that all the four indicators have long-run associations for the three countries but the errors are corrected for Brazil and China only. However, only for China, the FI and globalization factors have made a cause to PCGDP; no such causal relations are observed for Brazil and India.

The authors aim at investigating different forms of classification shifting (CS). CS is a novel form of earnings management under which managers misclassify income statement line items and cash flow statement line items with an intent to report favorable operating performance of firms. In particular, the authors check the existence of revenue misclassification, expense misclassification and cash flows misclassification among Indian firms by taking the uniform sample of firms over a single period.

Operating revenue model (Malikov et al., 2018), core earnings expectation model (McVay, 2006) and operating cash flows model (Roychowdhury, 2006) are employed for measuring revenue misclassification, expense misclassification and cash flows misclassification, respectively. The panel data regression models are used to analyze the data for this study.

Based on the sample of 12,870 Bombay Stock Exchange (BSE) listed firm-years observations between 2010 and 2018, we find that, on average, Indian firms are engaged in revenue misclassification rather than expense misclassification to report inflated core earnings. Firms are found to be engaged in cash flows misclassification too. Besides, we find that magnitude of shifting is greater among larger firms. Results also establish that adoption of Ind AS increases the scope of shifting practices. These results are based on several robustness checks.

The results suggest that investors conduct a comprehensive review of the items of financial statements before using them in their portfolio valuation. It suggests auditors check the basis of revenue classification and standard-setting authorities, like ICAI in India, to make more mandatory disclosure requirements for classification of revenues and cash flows. It suggests lenders not to make lending decisions by looking at the operating performance metrics, as CS is the most preferred tool to positively influence the perception of lenders toward operating performance.

It is the first study that investigates different forms of classification shifting jointly for a sample of firms. Most of the earlier studies have examined one kind of classification shifting at a time. This study adds to the existing literature on earnings management by documenting that some firm-specific factors pressurize firms to prefer one form of shifting over another to report inflated core earnings.

Globalization means integrating the economy and consumer market with the rest of the world, which involves the removal of restrictions on imports and foreign investment. The purpose of this paper is to examine the implications of globalization on international marketing from the point of multinational firms, in the context of an emerging consumer market – India.

This is a general review-based study with some secondary data analysis. The author introduces new measures for industry analysis.

It was found that Indian market has opened up substantially and there are many foreign players in most sectors. Imports growth rate has gone up substantially during post-World Trade Organization period. The author provides insights based on sector-wise analysis.

The most important contribution of this paper is the introduction of two measures for carrying out industry analysis by integrating economics, marketing and strategy a Success-probability Index (SPI); and an Opportunity-Threat Matrix (OTM). The author puts forward generalized theoretical propositions for further research, which can be tested in an emerging market/industry context.