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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.

Similar to real estate, infrastructure investments are regarded as providing a good inflation hedge and inflation protection. However, the empirical literature on infrastructure and inflation is scarce. Therefore, the purpose of this paper is to investigate the short- and long-term inflation-hedging characteristics, as well as the inflation protection associated with infrastructure and real estate assets.

Based on a unique data set for direct infrastructure performance, a listed infrastructure index, common direct and listed real estate indices, the authors test for short- and long-term inflation-hedging characteristics of these assets in the USA from 1991-2013. The authors employ the traditional Fama and Schwert (1977) framework, as well as Engle and Granger (1987) co-integration tests. Granger causality tests are further conducted, so as to gain insight into the short-run dynamics. Finally, shortfall risk measures are applied to investigate the inflation protection characteristics of the different assets over increasingly long investment horizons.

The empirical results indicate that in the short run, only direct infrastructure provides a partial hedge against inflation. However, co-integration tests suggest that all series have a long-run co-movement with inflation, implying a long-term hedge. The causality tests reveal reverse unidirectional causality – while real estate asset returns are Granger-caused by inflation, infrastructure asset returns seem to cause inflation. These findings further confirm that both assets represent a distinct asset class. Ultimately, direct infrastructure investments exhibit the most desirable inflation protection characteristics among the set of assets.

This study only presents results based on a composite direct infrastructure index, as no sub-indices for sub-sectors are available yet.

Investors seeking assets that are sensitive to inflation and mitigate inflation risk should consider direct infrastructure investments in their asset allocation strategy.

This is the first study to examine the ability of direct infrastructure to assess inflation risk.

Logistics sector is recognized as one of the core enablers of the economic development of a nation. However, inefficiency in logistics operations impedes the achievement of intended targets by increasing the cost of doing business. Also, it is difficult to improve the efficiency of a country’s logistics operations without a metric for evaluating and understanding logistics capabilities and efficiency. Therefore, the present study has developed In-country Logistics Performance Index (ILP Index) to propose a benchmarking tool to measure the in-country logistics competitiveness, particularly in the setting of emerging economies, i.e. India.

This study has developed a unified index using principal component analysis and quintile approach. In addition, the proposed index relies on several dimensions that are developed and illustrated using quantitative secondary panel data.

The findings of this study reveal that the quality of infrastructure, economy, and telecommunications are the three most important dimensions that may significantly support the growth of the transportation and logistics sector. The results reveal that Gujarat, Tamil Nadu, and Maharashtra are the top performers whereas, Bihar, Jharkhand, and Jammu and Kashmir scores the least due to the insufficient logistics infrastructure as compared to other Indian states.

Given the extensive focus on international-level logistics index (like World Bank’s LPI) in the existing literature, this study intends to develop in-country logistics index to evaluate the logistics capabilities at the regional and state level. In addition, unlike prior studies, this study utilizes quantitative secondary data to eliminate cognitive and opinion bias. Moreover, this benchmarking tool would assist decision-makers in idealizing standard practices toward sustainable logistics operations. Additionally, the ILP index could serve the international investors in crucial decision-making, as it provides valuable insights into a country’s logistics readiness, influencing their investment choices and trade preferences. Finally, the proposed approach is adaptable to measuring the overall performance of any other industry/economy.

This study aims to delve deeply into the role of infrastructure on economic growth in 59 belt and road initiative (BRI) participating countries from various regions of the world as the main objective of BRI is to encourage the participating countries to improve investment and trade facilitation via infrastructure. Besides, the development of infrastructure is in line with the United Nations’ 2030 sustainable development goals (SDG).

This study encompasses all of the important physical infrastructure factors to compute a composite infrastructure index. Thereafter, this study used both the panel cointegration and the panel Granger causality tests to investigate the impact of the infrastructure index and other essential factors on economic growth.

The empirical results signify the importance of infrastructure development on economic growth in both the long-run and short-run. Besides, it is evident that capital, expenditure on health and education, as well as exports, will accelerate economic growth.

The findings of this study could contribute to the literature regarding BRI in two ways. First, it will provide insight to the policymakers of China and the BRI participating countries on whether infrastructure development is worthy of huge investment so as to enhance the success of the BRI. Second, the outcome of this study will give policymakers a better understanding of the determinants of economic growth, which, in turn, will help them in designing effective policies.

Infrastructure deficiency in Southeast Asian countries is ever growing and touched to a level where it harms the local economy as well as the international sector of the country. The gap between demand and supply for infrastructure is constantly on the upswing. The purpose of this study to investigate the effect of infrastructure on exports and foreign direct investment (FDI) inflow in selected Southeast Asian economies.

This study employs the pooled mean group (PMG) technique to velaborate that how the infrastructure affects export and FDI in the short run and long run during 1990–2018. For cointegration, Pedroni and Kao tests are used. Dynamic ordinary least square (DOLS) and the fully modified least squares (FMOLSs) estimators are employed for robustness check.

The findings support that aggregate and sub-indices of infrastructure significantly promote the export and FDI inflow in the long run. Also infrastructure, export and FDI inflow are cointegrated in the long run. FMOLS and DOLS found the most robust results.

Infrastructure development in determining trade and FDI has established a significant deal of attention in the modern era where a plethora of research studies encourage the opinion that better infrastructure attracts FDI and enhances export. However, this study uses a global infrastructure index, which comprises the sub-indices like transport, telecommunication, energy and financial sector, which gives us a clear picture regarding how Southeast Asia can catch up FDI and export benefits through infrastructure.

Renewable energy infrastructure is an important asset class in the context of reducing global carbon emissions going forward. This includes solar power, wind farms, hydro, battery storage and hydrogen. This paper examines the risk-adjusted performance and diversification benefits of listed renewable energy infrastructure globally over Q1:2009–Q4:2022 to examine the role of renewable energy infrastructure in a global infrastructure portfolio and in a global mixed-asset portfolio. The performance of renewable energy infrastructure is compared with the other major infrastructure sectors and other major asset classes. The strategic investment implications for institutional investors and renewable energy infrastructure in their portfolios going forward are also highlighted. This includes identifying effective pathways for renewable energy infrastructure exposure by institutional investors.

Using quarterly total returns, the risk-adjusted performance and portfolio diversification benefits of global listed renewable energy infrastructure over Q1:2009–Q4:2022 is assessed. Asset allocation diagrams are used to assess the role of renewable energy infrastructure in a global infrastructure portfolio and in a global mixed-asset portfolio.

Listed renewable energy infrastructure was seen to underperform the other infrastructure sectors and other major asset classes over 2009–2022. While delivering portfolio diversification benefits, no renewable energy infrastructure was seen in the optimal infrastructure portfolio or mixed-asset portfolio. More impressive performance characteristics were seen by nonlisted infrastructure funds over this period. Practical reasons for these results are provided as well as effective pathways going forward are identified for the fuller inclusion of renewable energy infrastructure in institutional investor portfolios.

Institutional investors have an important role in supporting reduced global carbon emissions via their investment mandates and asset allocations. Renewable energy infrastructure will be a key asset to assist in the delivery of this important agenda for a greener economy and addressing global warming. Based on this performance analysis, effective pathways are identified for institutional investors of different size assets under management (AUM) to access renewable energy infrastructure. This will see institutional investors embracing critical investment issues as well as environmental and social issues in their investment strategies going forward.

This paper is the first published empirical research analysis on the performance of renewable energy infrastructure at a global level. This research enables empirically validated, more informed and practical decision-making by institutional investors in the renewable energy infrastructure space. The ultimate aim of this paper is to articulate the potential strategic role of renewable energy infrastructure as an important infrastructure sector in the institutional real asset investment space and to identify effective pathways to achieve this renewable energy infrastructure exposure, as institutional investors focus on the strategic issues in reducing global carbon emissions in the context of increased global warming.

Through the example of a “regulatory ranking” – an index produced with the aim to regulate the pharmaceutical market by pushing companies in the direction of providing greater access to medicine in developing countries – this chapter focuses on indexing and ranking as infrastructural processes which inscribe global problem spaces as unfolding actionable territories for market intervention. It foregrounds the “Indexal thinking” which structures and informs regulatory rankings – their aspiration to align the interests of different stakeholders and to entice competition among the ranked companies. The authors detail the infrastructural work through which such ambitions are enacted, detailing processes of infrastructural layering/collage and patchwork through which analysts naturalize/denaturalize various contested categories in the ranking’s territory. They reflect on the consequences of such attempts at reconfiguring global topologies for the problems these governance initiatives seek to address.

This chapter provides an empirical assessment of the effects of infrastructure provision on structural change and aggregate productivity using industrylevel data for a set of developed and developing countries over 1995–2010. A distinctive feature of the empirical strategy followed is that it allows the measurement of the resource reallocation directly attributable to infrastructure provision. To achieve this, a two-level top-down decomposition of aggregate productivity that combines and extends several strands of the literature is proposed. The empirical application reveals significant production losses attributable to misallocation of inputs across firms, especially among African countries. Also, the results show that infrastructure provision has stimulated aggregate total factor productivity growth through both within and between industry productivity gains.

This paper aims to examine the effect do Sukuk Spur Infrastructure Development of Sukuk market expansion on infrastructure development for a sample of 15 emerging countries over the period 1997–2018. The paper also compares the role of Sukuk in infrastructure development to that of the size of the banking system, bond market development and stock market development.

A novel index of infrastructure development is constructed via principal component analysis. This index is regressed on Sukuk market development and other macroeconomic and institutional variables. To tackle the problems of heteroscedasticity and the existence of serial correlation in the residuals, the panel model is estimated using the generalized least squares (GLS) procedure with random effects and robust standard errors.

The evidence shows that a well-developed Sukuk market contributes to the expansion of the country’s infrastructure, whereas a larger banking system and a better capitalized stock market do not have any significant effect on infrastructure development. Surprisingly, well-developed bond markets jeopardize infrastructure expansion, thereby pointing to a potential crowding-out effect between Sukuk and bonds in financing infrastructure investments. Additionally, per capita GDP and education are positively related to infrastructure development, whereas inflation has a negative effect on the country’s proliferation of infrastructure.

This study uses a novel infrastructure index via principal component analysis and shows that Sukuk markets fill an important gap in the financing of large-scale and long-term projects. This result is novel and has not been documented in previous research.