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This paper aims to examine the dynamics of foreign direct investment (FDI) inflows into Indonesia. It is interested specifically in analysing and deliberating on two important policy questions: First, are all kinds of FDI useful from a policy perspective and what does the existing data on FDI reveal about the type of FDI inflows into Indonesia? Second, does the existing data help understand the extent of de facto bilateral linkages between Indonesia and other countries?

The paper offers an in-depth case study of Indonesia using extensive exploratory data analysis on FDI inflows into Indonesia. As discussed in the paper, the data investigation uses and reconciles available FDI data both from national and international sources to understand the usefulness of such data for policy analysis.

A data investigation of the trends in different types of FDI flows reveals a discernible downward trend in the ratio of mergers and acquisitions (M&A)–FDI ratio over the years. The paper argues that from a sequencing perspective, while a medium-to-long-term framework encouraging both domestic and foreign Greenfield investments could help Indonesia regain its growth luster, in the near term much more attention needs to be paid to FDI inflows in the form of M&As. Further, reconciling FDI and M&A data might help identify the original sources of FDI flows because existing data are based on flow of funds rather than ultimate ownership.

Since the Asian financial crisis, Indonesia has successfully embarked on a phase of economic and political transition post-Suharto, with the cornerstones of such a strategy being a process of greater democratisation and decentralisation. However, there have been growing concerns of economic growth stagnation in recent years. One of the policies to revive the economy’s lustre adopted by the government has been to attract greater FDI inflows. In this light, this paper examines the dynamics of FDI into Indonesia and deliberates on what kinds of FDI policymakers should focus on attracting to restore the country’s growth lustre.

The question of whether a policy to attract FDI should be careful in distinguishing the kind of FDI it wants to attract has not been sufficiently addressed in the related literature. This paper provides a framework to understand the different macroeconomic policy implications of types of FDI and provides extensive data analysis to not only understand the types of FDI but also sources of bilateral FDI inflows to Indonesia by reconciling FDI and M&A data.

The purpose of this paper is to explore whether India is a suitable candidate for an inflation targeting regime. It begins by placing India's monetary policy actions in a broader context by discussing whether the Reserve Bank of India (RBI) should shift from its current policy of heavily managed exchange rates to one involving greater currency flexibility. If the latter is chosen, the selection of inflation targeting would appear an appropriate one.

This paper has analytical, empirical and policy dimensions. Given the recent history of exchange rate centered policy in India, a discussion of the role of the exchange rate is needed. This is presented by the use of an analytical model where we examine how inflation targeting might work with the exchange rate. Then the decision rule from the model (a monetary policy rule (MPR)) is adapted for empirical testing and is estimated to investigate whether an MPR that follows inflation targeting can work for India.

There is some evidence to suggest that the RBI follows an MPR quite inadvertently. The MPR (interest rates) tends to react to current inflation, but there is no evidence that it reacts to forecasts of inflation. Additionally, interest rates do not react at all to the exchange rate.

The RBI's operating policy framework and whether it should adopt an inflation targeting arrangement is a highly topical issue that has attracted a great deal of attention in policy discussions in India. Very few papers broach this topic systematically and combine the analytical and empirical considerations.

Financial integration has played an essential role in achieving economic growth in the members of the Association of Southeast Asian Nations (ASEAN). However, its effects on economic growth in the region in the long run have been underexamined. This paper examines these effects for the ASEAN member countries.

A fully modified ordinary least squares (FMOLS) estimation is used to take into account two critical econometric issues in panel data analysis, including (1) cross-sectional dependence and (2) slope heterogeneity. The dynamic ordinary least squares estimation is also used for robustness analysis. The authors use the generalized least squares estimation to examine the effects in the short run.

This study’s empirical results confirm the important role of financial integration to economic growth in the ASEAN countries in the short term. However, the effects appear to disappear in the long term. The authors also find capital, labor, and human development positively contribute to economic growth in the region. International trade plays a significant role in supporting economic growth in the ASEAN in the short run. However, its effect seems to weaken in the long run.

The growth effects of financial integration in the ASEAN region in the long term have largely been neglected. As such, the authors examine these effects using updated data on financial integration. The authors extend this study’s analysis by considering foreign direct investment and financial depth as the alternative proxies for financial integration. Other estimation technique is also used as the robustness check.

This paper aims to provide an up-to-date analysis of the productivity in the agricultural sector within the states and union territories of India. Despite agriculture’s diminishing role as a share of overall gross domestic product (GDP) in India, it plays a crucial role by providing a large proportion of jobs to the workforce. Recognising agriculture’s central role in the economy as well as the significant diversity between the states in terms of resources, this paper estimates the total factor productivity (TFP) for Indian crops at the state level from 2000 to 2010 using both the growth accounting and the Malmquist Index Data Envelopment Analysis methodologies. The results highlight the possibility of increasing production with existing technologies by focusing on efficient resource deployment and enhanced management techniques.

The paper utilizes both growth accounting and the Malmquist Index Data Envelopment Analysis methodologies to estimate the growth of TFP at the regional level at the sub-national level (for states and union territories).

The results highlight the wide variations in the performance of states with respect to growth in TFP for the period 2000-2010. At the regional level, the Western region experienced the largest TFP growth, while the Eastern region experienced the lowest. At the state level, Gujarat registered the highest TFP growth, while Bihar emerged as a laggard with the lowest growth in TFP.

The results highlight the possibility of increasing production with existing technologies by focusing on efficient resource deployment and enhanced management techniques.

Although most of the existing literature focuses on national level analysis for India, this paper provides an up-to-date analysis of the productivity in the agricultural sector within the states and union territories of India. Correspondingly, the results are more applicable for these sub-national economies and offer more relevant policy implications.