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This paper aims to investigate the relationship between gross domestic product (GDP) by sector and energy consumption by type in 16 emerging countries.

The panel model was utilized taking the period 1980-2010.

The results revealed that GDP by sector and energy consumption by type are cointegrated. Moreover, the Granger causality concluded a bi-directional causal relationship between oil, natural gas and renewable energy consumption and the value of the manufacturing, industrial and services sector. Furthermore, a bi-directional causal relationship was also found between coal consumption and the value of the services sector. Furthermore, a one-way causal relationship was found from oil consumption to the value of the agriculture sector, the value of the agriculture sector to coal consumption, and coal consumption to the value of the manufacturing and the industrial sectors.

This study recommended that these countries should increase their renewable energy consumption to achieve their GDP growth.

This study is different from the previous studies, as it disaggregated the GDP into four sectors, namely, agriculture, manufacturing, industrial and the services sector. In addition, this study will disaggregate energy consumption into oil consumption, gas consumption, coal consumption and electricity consumption.

The purpose of this study was to investigate the relationship between gross domestic product (GDP) growth and renewable and non-renewable energy consumption in 82 developing countries categorized by region.

To achieve the goal of this study, the panel model was used taking the period 1990-2009.

The Kao co-integration test results showed that both renewable and non-renewable energy consumption had a long-running relationship with all the economic sectors in all regions. Moreover, the FMOLS revealed that the renewable and non-renewable energy consumption had a long-run positive relationship with the economic sectors. However, the results also revealed that non-renewable energy consumption has a more significant effect on the economic sectors than the renewable energy consumption. In addition, the Granger causality showed the same results, that the causal relationship between the economic sectors and non-renewable energy consumption is more significant than the causal relationship between the economic sectors and renewable energy.

The reason behind these results is that these regions still depend on fossil fuels to promote their economic growth. Fossil fuels basically contribute more than 80 per cent of their total energy consumption. Thus, the study recommends the developing countries to increase their investment on renewable energy projects to increase the share of the renewable energy of total energy consumption.

This study is considered different from all the previous studies because it will investigate the disaggregate relationship between GDP and energy consumption (renewable and non-renewable) in East Asia and Pacific, Europe and Central Asia, Latin America and the Caribbean, Middle East and North Africa, South Asia and the Sub-Saharan African developing countries.

This study takes a disaggregated approach to investigate the impacts of long-run GDP on changes in total government expenditure in the Eastern Caribbean Currency Union (ECCU) economies. An understanding of the relationship between changes in total government expenditure and GDP (by sector categories) is expected to provide a working tool to understand the growth debt nexus of Caribbean countries. The purpose of the paper is to use an auto regressive distributed lag (ARDL) and error correction model (ECM) to examine and analyse short- and long-run dynamics of disaggregated approach to both output and government expenditure in a dynamic model to identify the growth in the Eastern Caribbean Countries.

In an attempt to examine the long-run dynamics, data for the period 1970-2015 were used in an ARDL and ECM framework. The authors examine the long-run GDP impacts of changes in total government expenditure and in the shares of different spending categories for the ECCU countries to establish and analyse short and long-run dynamics.

The results suggest that total fiscal expenditure and disaggregated expenditure including debt services have both positively and negatively contributed to economic growth in the agriculture, manufacturing and mining sectors. Among others, the study found that high national debt in the region resulted primarily from increases in government expenses and diminishing income sources.

This paper is the first to take a disaggregated approach to investigate the relationship between economic growth and government expenditure in the Eastern Caribbean States. The authors’ empirical results suggest that debt servicing reduces economic growth both in the short and long run. The greatest impact being felt in the mining and manufacturing sectors, namely, 1 per cent increase in debt service will bring about 7.90 and 1.67 per cent decrease in economic growth. These results offer fairly strong support to the view that expenditure share variables can weaken sectoral growth, and hence force the overall growth to decline.

The purpose of this paper is to examine the extent at which electricity consumption (EC) has contributed to real sector performance, to identify energy-dependent sectors of the economy for appropriate sector-specific policy interventions and to avoid energy conservation policies that may retard the growth of the real sector and economic growth in general.

This paper used time series data, covering the period between 1981 and 2015. Various time series econometric analyses such as unit root test for stationarity and vector autoregressive and vector error correction models were used to establish the long-run and short-run co-integration relationship among the variables.

This study finds that EC displays a little and insignificant impact on manufacturing sector output, as well as agriculture and service outputs. The empirical result from causality test suggests a unidirectional causality running from agriculture to EC, as well as service sector to EC, whereas bidirectional causality runs between EC and manufacturing sector. This study therefore recommends adequate power supply to the manufacturing sector, while energy efficiency policy and regulatory reform should address agriculture and service sectors.

Few studies have examined the impact of EC on disaggregated gross domestic product. This research gap has strong policy implications on Nigerian economy as the output of real sector plays vital role in driving the economy. Given the pressing needs for Nigeria to boost real sector output and be among the world’s 20 largest economies by 2030, it becomes imperative for this sector-specific research to be conducted to ensure that sectoral purpose-driven energy interventions are formulated to address power supply challenges in the real sector.

This paper seeks to estimate the long‐term effects on output of different fiscal policies in Portugal.

Results are obtained from accumulated impulse response functions associated with unrestricted VAR models that include several public spending and taxation variables in addition to output.

Empirical results suggest that the effects of fiscal policies are within the Keynesian paradigm for public investment and direct taxation. In turn, non‐Keynesian effects dominate in the case of intermediate public consumption and indirect taxation where the effects are negligible.

Cuts in public consumption and increases in indirect taxations seem to be the most desirable instruments for fiscal consolidation in Portugal. Also, deficit‐neutral policies that offset increases in public investment with increases in indirect taxes have long‐term positive effects on output. The same is true for cuts in direct taxation offset with cuts in all forms of public spending except for public investment.

This is one of the few papers in this literature to use disaggregated public spending and taxation data. It is also a seminal application to the Portuguese case.

The main objective of this article is to analyze the role of governance quality in influencing the economic growth of 22 selected Sub-Saharan African Countries.

The study applied the panel dynamic Generalized Method of Moments (GMM) to analyze the data obtained from the World Bank database over the period from 2002 to 2020.

The overall finding indicated that the composite governance index has a positive significant effect on the economic growth of the countries; where a unit improvement in the aggregate governance index leads to a 3.05% increase in GDP. The disaggregated result has shown that corruption control and government effectiveness have a negative significant effect on growth performance, whereas, the rule of law and regulatory quality showed a positive significant effect. Political stability and voice and accountability have an insignificant effect on economic growth.

Due to data limitations, this study could not address the whole members of Sub Sahara African Countries and could not see the causal relationship.

The study suggested a strong commitment to the implementation of policy and reform measures on all governance factors. This may add to the need to devise participatory corruption control mechanisms; to closely look at the proper implementation of policies and reforms that constitute the government effectiveness factors, and properly implement the rule of law at all levels of the government with a strong commitment to realizing it so that citizens at all levels can have full confidence in and abide by the rules of society.

Even though there are some studies conducted using conventional methods of panel data analysis such as random effect or fixed effects, this empirical study used more advanced panel dynamic generalized moment of methods to examine the role of improvement in governance quality on economic growth.

This study aims to test the role of infrastructure for economic growth. For this purpose, panel data of the world is selected from 1998 to 2018 and the study has used slope moderator to test the productivity of real economic activity with economic growth.

In this context, the feasible generalized least square method is adopted to estimate the results. Four types of infrastructure indicators i.e. quality of air, port, rail and road are used along with disaggregated GDP.

According to the results of this study, the role of industrial and agricultural value addition without infrastructure is negative. For industrial value addition, the cross product with all infrastructure types positively impacts economic growth. All the infrastructures, along with services value addition, except seaport, are contributing to economic growth positively. Along with agriculture value addition, only road infrastructure is contributing to economic growth positively. This study has also used two control variables i.e. quality of education and institutions. These variables are also found to be positive and significant with economic growth.

This study explores the moderating role of quality of infrastructure sector on real sector productivity, which is leading to economic growth.

The growth of the Indian economy is accompanied by the rising trend of energy utilisation and its devastating effect on the environment. It is vital to understand the nexus between energy utilisation, climate and environment degradation and growth to devise a constructive policy framework for achieving the goal of sustainable growth. This study aims to analyse the long- and short-run association and direction of association between energy utilisation, carbon emission and growth of the Indian economy in the presence of structural break.

The study probes the association and direction of association between variables at both aggregate (total energy utilisation, total carbon emission and gross domestic product [GDP]) and disaggregates level (coal utilisation and coal emission, oil utilisation and oil emission, natural gas utilisation and natural gas emission along with GDP) over the time period of 50 years, i.e. 1971–2020. Autoregressive distributed lag model is used to examine the association between the variables and presence of structural break is confirmed with the help of Zivot–Andrews unit root test. To check the direction of association, vector error correction model Granger causality is performed.

Aggregate carbon emissions are affected positively by aggregate energy consumption and GDP in both short and long run. Bidirectional causality exists between total emissions and GDP, whereas a unidirectional causality runs from energy consumption towards carbon emission and GDP in the long run. At disaggregate level, consumption of coal energy impacts positively, whereas GDP influences coal emission negatively in the long run only. Furthermore, consumption of oil and GDP influences oil emissions positively in the long run. Lastly, natural gas is the energy source that has the fewest emissions in both short and long run.

There is a rapidly growing body of research on the connections and cause-and-effect relationships between energy use, economic growth and carbon emissions, but it has not conclusively proved how important the presence of structural breaks or changes within the economy is in shaping the outcomes of the aforementioned variables, especially when focusing on the Indian economy. By including the impact of structural break on the association between energy use, carbon emission and growth, where energy use and carbon emission are evaluated at both aggregate and disaggregate level, the current study aims to fill this gap in Indian literature.

Though an accumulating body of study has analysed monetary policy transmission in India, there are few studies examining the differential impact of monetary policy action. Against this backdrop, this study aims to analyse the differential impact of monetary policy on aggregate demand, aggregate supply and their components along with the general price level in India.

The study develops a structural macroeconometric model, which is primarily aggregate and eclectic in nature. The generalized method of movements is used for estimation of behavioural equations, while a Gauss–Seidel algorithm is used for model simulation purposes.

The paper presents the results of two policy simulations from the estimated model that highlight the differential impact of monetary policy. The first one, hike in the policy rate by 5% and second is a reduction in bank credit to the commercial sector by 10%. The results from the first policy simulation experiment reveal that interest hike has a significant negative impact on aggregate demand, aggregate supply and general price level. However, the maximum impact is borne by investment demand and imports followed by private consumption. While as among the components of aggregate supply maximum impact is born by infrastructure output followed by the manufacturing and services sector with the agriculture sector found to be insensitive in nature. The results from the second policy simulation experiment revealed that pure monetary shocks have a significant negative impact on aggregate demand, aggregate supply and general price level. However, the maximum impact is born by private consumption and imports followed by investment demand. While as among components of aggregate supply maximum impact is borne by infrastructure followed by the manufacturing and services sector with the agriculture sector found to be insensitive in nature. From both policy simulation experiments, the study highlighted the relative importance of the income absorption approach as opposed to the expenditure switching effect.

The results obtained in this study provides a strong framework for design the monetary policy framework. The results are in a view of the differential impact of monetary policy action among the components of both aggregate demand and aggregate supply. This reflection of differential impact has immense significance for the macroeconomic stabilization as the central bank will have to weigh the varying repercussion of its actions on different sectors. For instance, the decline in output after monetary tightening might be conceived as mild from an overall perspective, but it can be appreciable for some sectors. This differential influence will have an implication for policy design to care for distributional aspects, which otherwise could be neglected/disregarded. Similarly, the output decline may be as a result of either consumption postponement or a temporary slowdown in investment. However, the one emanating due to investment decline will have lasting growth implications compared to a decline in consumer demand. In addition, the relative strength of expenditure changing or expenditure switching policies of trade balance stabilization may have varying consequences in the aftermath of monetary policy shock. Accordingly information on the relative sensitiveness/insensitiveness of different sectors/ components of aggregate demand towards monetary policy actions furnish valuable insights to monetary authorities in framing appropriate policy.

The work carried out in the present paper is motivated by the fact that although a number of studies have examined the monetary transmission mechanism in India, a very few studies examining the differential impact of monetary policy action. However, to the best of the knowledge, there is no such studies, which have examined the differential impact of monetary policy in the structural macro-econometric framework. The paper will enrich the existing literature by providing a detailed account of the differential impact of monetary policy among the components of both aggregate demand and aggregate supply in response to an interest rate hike, as well as a decrease in the money supply.

This chapter aims to measure the total impact of conflict and violence to the global economy. By aggregating the most recent research on the costs of specific types of violence such as organized conflict, homicide, battle deaths, military spending, and incarceration, a comprehensive country-specific cost of violence and violence containment methodology is developed. The estimated benefit to the global economy of perfect peacefulness is at least 9.8 trillion dollars over the long run.