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Purpose: This chapter aims to enlighten the stakeholders on the role and contribution and the issues and challenges of large-scale industries in the wake of the globally unified economies.

Need for the study: Large-scale industries are one of the pillars of any nation and can exercise an immense impact on the numerous facets of the economy of any country. Their role and contribution can benefit all the stakeholders, especially in today’s integrated and interdependent world economies. Hence, there is an absolute need to highlight the issues and challenges and suggest measures to overcome them to promote a resilient global economy.

Methodology: The study gathered data from secondary sources like textbooks, articles, and the internet.

Findings: The findings of the study state that large-scale industries are enormous contributors to employment creation, development of the economy, growth of revenue, research and development (R&D) and innovation, export promotion, and infrastructure. The significant challenges include regulatory compliance, workforce management, economic volatility, political instability, supply chain management, environmental compliance, and technology and infrastructure.

Protectionism, deregulation, public–private partnership, privatisation, and environmental regulation are significant government decisions that affect large-scale industries. The study identifies tax incentives, easy access to financing, and domestic and international trade policies to safeguard large-scale industries’ interests.

Practical implications: Large-scale industries contribute towards the growth of global economic resilience in terms of employment generation, technological advancements, and innovation, fostering international trade in today’s interconnected world.

This chapter analyses some internal territorial and economic conflicts in Spain among its autonomous communities. The Basque country has a very favourable tax system from 1878, which historically is stipulated in the Spanish constitution as a special case. This generates an asymmetry with respect to the other 18 Spanish communities including Catalonia, which would like to have a fiscal regime similar to that of the Basque country. After the Spanish state has built the fiscal balances for all autonomous communities, the Catalans argue that Spain steals them and they demand independence for Catalonia, which would affect the political and economic stability of the European Union. Specifically, this chapter attempts to describe a way to resolve territorial conflicts that have been exacerbated by the results of the fiscal balances in a context of fiscal decentralisation, since capital stock balances are not considered in the fiscal balances or in the inter-regional balance of payments. In this chapter, a production function approach, where the public capital production factor is separated into internal and imported capital stock, is used to calculate how the capital stock of the transportation infrastructure actually used can affect the labour productivity in each province or region. This study takes into account the direct effects of the capital stock of the road transport infrastructure of a region and the indirect effects that it receives from the use of infrastructures in other regions. Both types of public capital have been calculated by a network analysis, which allows us to calculate the stock of public capital effectively used in commercial activities, across 47 Spanish provinces during the period 1980–2007. The author estimates the spillover effects using spatial panel data techniques including spatial auto-correlation models with auto-regressive disturbances. In terms of labour productivity, the results indicate that the stock of imported capital is highly significant in all estimates while internal capital is not significant for all Spanish provinces, which classifies the Spanish provinces into users and used. This indicates that capital stock balances should be considered in some way into the inter-regional compensation fund to balance local fiscal balances, minimising some conflicts among regions.

Purpose: This paper aims to reveal the impact of the pandemic Covid-19 on the banking and financial sector. Covid-19 is a pandemic disease that’s impacting all nations. However, its amount varies from one country to another depending on the country’s social and economic infrastructure progress. The whole world is passing through great improbability. Indian economy is also facing equivalent issues from contraction in growth to rising inflation, unemployment and low demand. Covid-19 has impacted all industries worldwide, and the financial service sector is not any exception. Covid-19, which began as a health crisis, has now been appropriated as a financial one.

Methodology: This study intends to showcase various new developments in the banking sector. In the present scenario, banks are focusing on utilising new technological innovations to reinforce their risk management competence. Since the aim is to analyse various latest developments in the banking sector and its impact during Covid-19, the focus is to collect the relevant and supporting material from every possible secondary source. To attain the main aim of this paper, the data are collected using secondary sources, i.e. data from the annual reports of the Reserve Bank of India (RBI), Security Exchange Board of India, Federation of Indian Chambers of Commerce & Industry, Organisation for Economic Co-operation and Development (OECD), the International Monetary Fund (IMF), and the World Bank and various others sources. This is taken care of on the primary basis that the reliable and authentic sources are incorporated in this study. Since the study scope is limited to analysing the new developments in the banking sector due to Covid-19, the maximum literature available to attain the paper’s objective is from 2020 to 2021.

Findings: The banking sector is among the most crucial sectors of the Indian economy, which is accountable for almost every financial activity possibly happening within the country. It acts as a holding hand to the industry involved in credit, transactions, collection, etc. With the disruption of supply chains across the globe, numerous physical business places are closed. Banks are the backbone of the economy. Their stability is critical to continue the system up and to run.

Practical implications: The banking sector aims to supply funding to anyone, say corporate or individuals. The decelerate pace can guide prospective job losses, ground stress in banks’ retail loan books. The banks should design a plan to shield employees and their customers from its spread. It has hit the scope to individuals, small- and medium-sized enterprises, and large corporate. The only obvious thing is that every group has faced an income crunch that threatens economic and financial market permanence.

Significance: The relevance of this study stands on the fact that Covid-19 has begun as a health crisis, quickly extended into a business crisis. This is often not only a health crisis but also depression. The outbreak of Covid-19 has created a huge impact on nations. The nationwide lockdowns have almost faded social and economic life. The global economy was hit hard by the continued coronavirus. The whole world is passing through great uncertainty. As a result, various services sectors, banking sectors, and financial services have suffered through various ups and downs, resulting in economic stress. The uncertain and risky environment has had a severe impact on banks’ asset quality. The coronavirus outburst influenced financial markets and consumer emotions as well.

This chapter examines the airline performance effect arising from collaboration between airlines and high speed railway (HSR). The analysis presents scenario simulations using a bi-level model, which takes into account the effect of competition among airlines and HSR. Using real data, we examine the Japanese domestic market and the Japan-based international market: the markets consist of Tokyo Metropolitan Area, Osaka Metropolitan Area, Seoul/Korea, Frankfurt/Germany, Paris/France, London/United Kingdom, and Los Angeles/United States. Analysis of the domestic market assumes airlines and HSR compete against each other, and analysis of the international market assumes airlines only compete with each other. Initially, we conduct performance analysis using a simulation that mimics the current relationship between airlines and HSR. Then we present three scenarios for different combinations of collaboration between airline and HSR based on airline alliances. The results from this exercise are then used to examine the impact of the collaboration on the profits of airlines and HSR, passenger’s utility, and the network design of airlines. Last, we show the potential benefit to airlines – profitability, market share, and demand growth – from the airline-HSR collaboration. Our model shows that in Japan: (1) Airlines can improve their profitability in international operations by the collaboration with HSR when airlines set their hubs so they can connect to HSR; (2) The airline which has a lower unit operating cost than rivals and sets its hubs to connect to HSR can improve its joint profit with HSR through collaboration; (3) Airlines that don’t operate domestic flights and don’t set their hubs to connect to HSR encourage increased fare competition by coordinating with HSR, but their profit decreases. Whether these results are generalizable to other regions should be the subject of future study.

This study aims to explore the empirical relationship between public–private investment (PPI) in energy and environmental quality.

The authors hypothesize that PPI can reduce pollution emissions and test this hypothesis by sampling the 20-year data of emerging and growth-leading economies (EAGLE) and adopting two estimation techniques named panel estimated generalized least square and fully modified ordinary least square models.

The empirical analysis vows that PPI has an inverse relationship with CO₂ emissions, corroborating the sustainable development driving role of PPI. In addition, the empirical outcomes suggest a negative/positive role of energy imports and economic growth. Meanwhile, foreign direct investment is negatively linked with CO₂ emissions, corroborating the pollution halo hypothesis in the case of EAGLE. However, financial development shows a positive relationship with CO₂ emissions.

This study offers an important policy outlay regarding the pollution mitigation role of PPI in EAGLE. The environmental sustainability in underlying economies can be achieved by enhancing the magnitude of public–private cooperation in energy investment. The empirical analysis supplements cutting-edge empirical evidence regarding PPI as a driver of important sustainable development goal (SDG), i.e. environmental sustainability.

To the best of the authors’ knowledge, this study is the first study that examines how one can achieve an important SDG regarding environmental sustainability through PPI in energy.

This paper evaluates the economic, political and institutional determinants of variation in public investment in emerging Europe.

Panel econometrics (panel-corrected standard error, generalized least squares and the two-stage least squares) methods have been applied using annual data from 2000 to 2017 for 16 countries from Central and Eastern Europe (CEE).

Public investment was procyclical in relation to output and negatively associated with the level of public debt. Austerity episodes triggered a significant drop in public investment. Positive drifts in public investment during election periods and the negative impact of the number of cabinet seats held by left-wing parties have been captured. While no firm evidence on the impact of EU membership was found, the results show that arrangements with the IMF were strongly associated with lower public investment. Political factors were of greater importance in Central Europe and the Baltics, while institutional factors had a more significant impact in South Eastern Europe.

To foster public capital formation, it is necessary to: 1) strengthen the countercyclicality of public investment policy and to keep public debt at a low level; 2) adjust the fiscal criteria for EU membership in a manner that would enable countries to use the EU structural fund more effectively, while maintaining fiscal sustainability; 3) put a stronger emphasis on structural features of fiscal policy when designing country-level arrangements with the IMF.

The paper contributes to the literature on determinants of public investment policy by adding empirical evidence for emerging Europe countries.

The purpose of this paper is to demonstrate empirically that corruption causes significant and sizeable macroeconomic costs to countries in terms of economic activity and economic growth. The authors modeled corruption building on the endogenous growth literature and finally estimated the baseline (bribes paid to public officials) macroeconomic cost of corruption using Argentina 2004-2015 as a case study.

The authors laid the foundations of a new methodology to account corruption losses using data from the national accounts and judiciary investigations within the framework of the Organisation for Economic Cooperation and Development (OECD) non-observed economy (NOE) instead of subjective indicators as in the earlier literature. They also suggested a new method to compute public expenditures overruns, including but not limited to public works.

The authors found the costs stand at a minimum accumulated rate of 8 per cent of gross domestic product (GDP) or 0.8 per cent yearly. These findings provided a corruption cost floor and were consistent with earlier research on world corruption losses estimated at 5 per cent by the World Economic Forum and with the losses estimated at between a yearly rate of 1.3 and 4 per cent and 2 per cent of GDP by Brazil and Peru’s corruption, respectively.

The authors would need to extend the application of their new suggested methodology to further countries. They are working on this. They would need to develop the methodology in full to compute the public works overruns input to future econometric work.

In this paper, the authors make a threefold contribution to the literature on corruption and growth: first, they laid the foundations toward a new methodology to make an accounting of the corruption costs in terms of GDP consistent with the national accounts and executed budgets; on the one hand, and the OECD NOE framework, on the other. The authors named those corruption costs as percentage of GDP the “corruption wedge.” Second, they developed an example taking corruption events and a component of their total costs, namely, the bribes paid to public officials, taking Argentina 2004-2015 as a case study. Finally, they plugged the estimated wedge back into an endogenous growth model and calibrated the growth–corruption path simulating two economies where the total factor productivity was different, at different levels of the corruption wedge.

This paper aims to study the impact of municipalities’ own resources on their investments‘ expenditure.

Panel data analysis. A sample of 34 municipalities in Benin. Econometrics tests for the panel data models – estimation of the fixed-effect and random-effect models. Hausman test to identify the best model to explain the impact of the explanatory variables on local investments’ expenditures. Heteroskedasticity, normality and autocorrelation tests.

The results establish a positive and significant impact of own resources, state transfers and demographic variables on local investments’ expenses.

As an implication, the results show the importance of local resources’ mobilization for the municipalities’ investment capacity building. They also show that the central government transfers continue to play a major place in local investments’ finance, even in a decentralization context. Limitation: Available data do not allow to well evaluate the impact of the electoral variable on municipalities’ investments’ expenditure. This situation does not allow to well analyze the public choice considerations in local authorities’ behaviors.

Local mobilization of financial resources must be encouraged to raise municipalities’ investments’ capacities. Strategies must be developed to reinforce local capacities in local resources mobilization.

The results show the importance of local resources in local investments. They show the importance of citizens’ participation in their well-being construction, through local resource mobilization (ex: local fiscality).

Many authors assert in the literature that financial autonomy has a real impact on local development. However, empirically, it was not demonstrated. This paper contributes to correct this lack.

India is a developing nation where the marginal benefit of infrastructure development is tremendous. The purpose of this paper is to analyze the relationship between infrastructure development and poverty reduction for India using the yearly data from 1991 to 2015.

The authors use the principal component analysis to construct indices for four major sub-sectors, namely, transport, water and sanitation, telecommunications and energy, falling under the broad infrastructure sector and then using these sectorwise indices, the authors construct an overall index which represents infrastructure development. The authors provide evidence on the link between infrastructure development and poverty reduction by using the auto regressive distributed lag (ARDL) bound testing approach.

The ARDL test results suggest that infrastructure development and economic growth reduce poverty in both long run and short run. The causality test confirms that there is a positive and unidirectional causality running from infrastructure development to poverty reduction.

The study confirms that India’s Infrastructure development plays a vital role in reducing poverty and calls for the Indian Government to adopt economic policies which are aimed at developing and strengthening the infrastructure levels and bringing in more investment in the infrastructure sector in order to help the poor population by making them exposed to better opportunities of employment and income growth, thereby achieving the goal of poverty reduction.

This paper is a fresh and unique attempt of its kind to empirically investigate the causal relationship between infrastructure development and poverty reduction in India using modern econometric techniques.

The purpose of this study is to analyze the two-way causal nexus between macroeconomic factors such as foreign aid, industrialization, economic growth, population growth, urbanization, control of corruption and the infrastructure development index of the top-ranking African countries from 2003 to 2018.

The study adopts various econometric tools such as cross-sectional dependence test, panel unit root and cointegration test and Dumitrescu and Hurlin panel Granger causality test in ascertaining the relevant relationships between the variables under consideration.

The main findings of the Granger causality test result revealed a bidirectional causal relationship between foreign aid and infrastructure and between urbanization and infrastructure. The study also found unidirectional causality running from population growth to infrastructure while a zero causal relationship existed between industrialization and infrastructure, economic growth and infrastructure and lastly, between control of corruption and infrastructure. The study concludes that the major macroeconomic factors that influence infrastructure development in these selected African countries are foreign aid, population explosion and urbanization. Also, their high infrastructure development index has causal influence in only attracting more foreign aid and also promoting urban expansion.

To the best of the author's knowledge, the study is unique as it is the first to determine the two-way causal nexus between macroeconomic factors and infrastructure development using a sample of the top ten African countries in infrastructure ranking. The findings reflect the current situation in Africa.