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The purpose of this paper is to construct indices on Indonesia’s economic infrastructure. The components of infrastructure include transportation, communications and electricity. In constructing the indices, the authors use the longest available data covering the period 1970-2015. The indices of each component of infrastructure are aggregated linearly with the weights calculated using principal component analysis (PCA). The infrastructure index for Indonesia has had a positive increasing trend since 1970, particularly supported by the increase in the infrastructure indices of electricity and telecommunication. Meanwhile, the infrastructure index of transportation has been relatively stable. The infrastructure index constructed shows positive relation with Indonesia’s GDP growth and GDP per capita.

In constructing the indices, the authors use the longest available data covering the period 1970-2015. The indices of each components of infrastructure are aggregated linearly with the weights calculated using PCA.

The infrastructure index for Indonesia has a positive increasing trend since 1970, particularly supported by the increase in the infrastructure indices of electricity and telecommunication. Meanwhile, the infrastructure index of transportation has been relatively stable. The infrastructure index constructed shows positive relation with Indonesia’s GDP growth and GDP per capita.

The novelty of this research is a construction of the infrastructure index for Indonesia. The infrastructure index is important to benchmark the level of infrastructure development and to understand its connection to economic growth. It is also an important barometer used by policymakers for infrastructure investment and planning purposes.

This study attempts to explain the impact of Fintech on the Asian economies through two main indicators, inflation and unemployment over the period 2011-2014-2017.

This study uses panel data regression models to explain the relationship between Fintech, inflation as an indicator of currency circulation and unemployment since Fintech has disrupted the labor market.

Empirical results show a consistently strong and positive relationship between the development of financial technologies and the reduction of inflation and unemployment unless these technologies are actively used. Digital finance has become a new driver of economic development. Therefore, governors should not only improve their economies but also expand their information and communication technologies to develop their digital infrastructure, especially for businesses.

The present study contributes to the existing literature on the impact of disruptive digital innovation on the socioeconomic development of emerging countries. The empirical evidence highlights the importance of distinguishing between active and passive uses of Fintech in order to anticipate its economic impact.

This paper aims to examine the impact of financial technology (FinTech) startups on Islamic and conventional banking performance in Indonesia.

Data were collected from a sample of 124 conventional and Islamic banks in Indonesia from 2004 to 2018. The two-step generalized methods of moments was used to estimate the system model.

This study finds that FinTech startups have a detrimental effect on bank performance. This study also finds that Islamic banks have low performance compared to conventional banks. However, when FinTech startups interact with Islamic banks, this paper discovers that a greater number of FinTech startups have a positive effect on the performance of Islamic banks, particularly the peer-to-peer lending category. Additionally, this paper finds that FinTech startups improve Islamic banks' performance in both normal and crisis periods.

This paper provides recommendations for Islamic bank management and supervisors to deal with FinTech startups during normal and crisis periods by collaborating with FinTech startups and being willing to adopt cutting-edge financial technology applications.

This paper provides evidence of the impact of FinTech on the performance of Islamic banks, specifically on peer-to-peer lending and payment startup during the crisis and normal periods.

This systematic literature review presents the evolution of accounting-related research in the Indonesian context. We examine 55 academic articles from the initial 296 records of accounting and finance research in the Q1 Scopus-indexed journals from 1995 to 2022. This study sheds light on Indonesia’s main research streams, unique settings and urgent future research agenda.

This study adopts a systematic approach for a comprehensive literature review. We select articles according to a series of criteria and compile the metadata for the bibliographic mapping.

Our bibliometric analysis suggests five main research streams, namely (1) political connection, (2) capital market, (3) audit and accountability, (4) firm policy and (5) banking. We identify the following distinctive country settings, which are well discussed in extant literature: political connection, two-tier board system, weak accounting profession, information opacity and cultural impact on accounting. We outline prospective agendas to examine the institutional mechanisms’ role in addressing major environmental challenges through accountability.

This study offers unique contributions to the literature by comprehensively reviewing accounting-related research in Indonesia. Despite Indonesia’s economic and environmental importance, it has received limited attention from scholars. Using dynamic topic analysis, we highlight the need to examine the role of informal institutions, such as political connections and culture and formal institutional mechanisms, such as corporate governance and environmental disclosure.

The nexus of commodity prices with inflation is one of the main concerns for a nation's economy like India. The literature does not have enough volatility-based study, especially using the multivariate GRACH family of models to find a link between these two. It is the main reason for the conduct of this study. This paper aims to estimate the volatility effects of commodity prices on inflation.

For ten years (2011–2022), future prices of selected seven agriculture commodities and inflation indices (wholesale price index [WPI] and consumer price index [CPI]) are gathered every month. BEKK GARCH model (BGM) and DCC GARCH model (DGM) are employed to determine the volatility effect of commodity prices (CPs) on inflation.

The authors find that volatility's short-term (shock) impact on agricultural CPs to inflation does not exist. However, the long-term volatility spillover effect (VSE) is significant from commodities to inflation.

The study's findings have a significant implication for the policymakers to take a long-term view on inflation management regarding commodity prices. The findings can facilitate policy on the choice of commodities and the flexibility of their trading on the commodities derivatives market.

The findings of the study are unique. The authors do not observe any study on the volatility effect of agri-commodities (agricultural commodities) prices on inflation in India. This paper applies advanced techniques to provide novel and reliable evidence. Hence, this research is believed to contribute significantly to the knowledge body through its novel evidence and advanced approach.

This study aims to design appropriate micro-fintech models for Islamic microfinance institutions (IMFIs), especially Baitul Maal wat Tamwil (BMT) in Indonesia, thus enabling BMT to combine Islamic social and commercial microfinance optimally.

This study uses the analytic network process and Delphi methods, with three groups of experts as the respondents, namely, academician-regulators, BMT practitioners and Fintech practitioners.

The first results show that the micro-fintech tools needed by IMFI/BMT are digital banking, payment, peer-to-peer (P2P) financing, P2P social and e-commerce. These could be developed by a BMT alone or with an APEX or Association, which could also collaborate with an existing fintech company that specialises in micro-fintech, applying the offline to online approach. This means that commercial funding, as well as social fundraising of zakat and waqf, would be conducted online, whereas commercial financing for micro and small enterprise customers and the disbursement of zakat and waqf would be conducted offline. The second results show that the limited open ecosystem and hybrid ecosystem are the most appropriate micro-fintech ecosystems for IMFIs/BMT, with various alternative models. In addition, the private closed ecosystem preferred by BMT would be feasible if all criteria show improvement in the future.

This study is qualitative in nature. The methods used have limitations, meaning the models could be improved by incorporating other methods. Moreover, the case and respondents are all Indonesian, which means that the results may only be applicable to BMTs in Indonesia.

A BMT and/or BMT association could immediately apply micro-fintech with a limited open ecosystem, while in the future, they could apply micro-fintech with a private closed ecosystem.

The micro-fintech model could be used to optimise the collections of zakat, infaq and waqf, meaning BMT could provide more social programmes for those in need.

The growth of fintech in Islamic microfinance has occurred only recently, while only a limited number of studies have been conducted; therefore, no study exists on the development of a micro-fintech model appropriate for IMFIs, especially BMT.

The objective of this study is threefold–first, to develop a Regional Competitiveness Index (RCI) for measuring competitiveness of sub-national regions for India; second, to test this index for its ability to explain regional growth, which validates usage and applicability of this index; and third, to further investigate if the competitiveness of states is in turn caused by economic growth, i.e. it is tested if there is a bidirectional causality between competitiveness and regional growth.

The data of indicators used in the index are from sources available freely in public domain. The competitiveness index is constructed using equal weightage supported by principal component analysis (PCA) technique. The causal relationship analysis is done using panel data of 10 years from 2008 to 2017 for 32 Indian states/union territories. The generalized method of moments (GMMs) is used for this dynamic regression estimation.

Based on RCI score, states have been ranked and through rank analysis, the authors observe the performance status of these sub-national regions and are able to categorize them as improving, no change or deteriorating in regional competitiveness. Using the GMM estimation, the association between RCI and economic growth is found to be significant at 10% level. This shows that regional competitiveness as captured through the RCI score is able to explain regional economic growth and economic disparity among the sub-national units. Further, that RCI score is found to Granger-cause growth, while growth does not lead to better RCI scores. This establishes the usefulness of RCI as an important policy variable to compare states and provide direction for sectoral reforms.

The limitations of the study include (1) broad assumption that these sub-national regions belong to a uniform macro-economic and technology environment, and (2) data constraints as it is a longitudinal study. The study implies that the composite index could capture differences in regional competitiveness explaining regional economic disparity and that competitiveness causes higher economic growth and not vice versa.

The RCI score can prove to be a useful indicator of economic performance of different states and can be used by national and state policymakers to compare and assess regional disparity among different states. The pillar-wise scores will be useful for in-depth study of weakness and strength of the sub-national territories.

Construction of an RCI for sub-national territories and analysis of panel data for longitudinal study of ten years is unique in the regional competitiveness literature.

The primary purpose of this paper is to investigate the sources of the business cycle fluctuations in Vietnam. To this end, the author develops a small open economy New Keynesian dynamic stochastic general equilibrium (SOE-NK-DSGE) model. Accordingly, this model includes various features, such as habit consumption, staggered price, price indexation, incomplete exchange-rate pass-through (ERPT), the failures of the law of one price (LOOP) and the uncovered interest rate parity. It is then estimated by using the Bayesian technique and Vietnamese data 1999Q1–2017Q1. Based on the estimated model, this paper analyzes the sources of the business cycle fluctuations in this emerging economy. Indeed, this research paper is the first attempt at developing and estimating the SOE-NK-DSGE model with the Bayesian technique for Vietnam.

A SOE-NK-DSGE model—Bayesian estimation.

This paper analyzes the sources of the business cycle fluctuations in Vietnam.

This research paper is the first attempt at developing and estimating the SOE-NK-DSGE model with the Bayesian technique for Vietnam.