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The purpose of this paper is based on China’s economic fundamentals. Factor input, structural optimization and institutional reform, which determine the fundamentals of China's economic development, will actively prop up long-term, sustained and stable growth of the Chinese economy and keep China's potential economic growth rate stabilized within a reasonable growth range in the long term.

The fundamentals of economic development of a country are the basic situation of economic operation determined by the country's main factors and the long-term trend thereof, and they have such characteristics as stability, internality and persistence.

Stability refers to economic operation that remains relatively stable within a reasonable growth range at a certain stage of development, and this does not rule out exceptional economic fluctuations in certain years due to the impact of unexpected short-term factors. For instance, the fundamentals of the Chinese economy during the period after the reform and opening-up are characterized by a sustained high growth rate.

Internality refers to the intrinsic quantity and quality of all factors supporting the economic development of a country, especially the quantity and quality of the factors that play a decisive role in the economic development of a country at a specific stage. For instance, demographic dividend and capital formation have bolstered the high-speed growth of the Chinese economy since the reform and opening-up.

The purpose of this paper is to examine the impact of the size of government and public debt on real economic growth, for a panel of 175 countries around the world.

The paper utilizes the fixed‐effects and random‐effects techniques to estimate the panel regressions.

The results indicate that both the size of government and the extent of government indebtedness have negative effects on economic growth.

The findings suggest that the authorities ought to take the necessary steps to curtail excessive government spending and public debts, in order to promote economic growth.

The contribution of the paper is its application of the fixed‐ and random‐effects techniques in modeling the relation of real economic growth to the size of government and public debt, for a panel of 175 countries around the world.

The paper aims to study the relationship between economic growth, nuclear energy consumption and carbon dioxide (CO₂) emissions for a panel of 25 countries over a period of 1993-2010. Through this study, the author has provided an insight into one of the available sources of energy, i.e. nuclear energy and its impact on economic growth and CO₂ emissions.

Separate panels are created for developing and developed economies. Short- and long-run causalities between the variables are established using error correction mechanism.

For the developed countries, short-run causality running from CO₂ emissions to economic growth was estimated, whereas strong form of causality indicated the dependence of CO₂ emissions on economic growth and nuclear energy consumption was seen to impact CO₂ emissions. For the developing countries, both the short-run and strong-form causality estimates indicate that economic growth causes CO₂ emissions.

On policy front, developing countries can safely adopt CO₂ cut-back policies as they are not found to impact economic growth. For the developed countries, such policies may impede growth in the short run, but in the long run these policies do not affect the economic growth.

Keeping in mind the significance of nuclear energy consumption in economic growth and less/no GHG emissions generated by nuclear energy, this study validates its significance. This study, to the best of the author's knowledge, considers the largest panel (i.e. 25 countries) to date and the only study that focuses on studying three different panels (complete dataset, developed countries, developing countries) in one study and applies the vector error correction mechanism to study the causal relationship between nuclear energy consumption, CO₂ emissions and economic growth.

This paper considers a broader concept of economic integration in order to analyze the impact of integration on economic growth within the context of the knowledge-driven endogenous economic growth model. The equilibrium growth rate derived from the model implies that while increasing the flow of ideas from integration speeds up the long-run rate of growth, impact of trade liberalization is complicated and not decisive. The overall impact of economic integration on • economic growth depends on various aspects of the economy which are related to its R&D investment such as knowledge spillovers, and industrial and market structures. The results of this paper suggest that policy makers need to consider international economic policy, market structure and industrial policy all at once, with special emphasis on the effect affirms' R&D activities when making decisions on economic integration.

This study examines the cross‐sectional relationship between economic growth and variables suggested by the economic literature as affecting economic growth. The results show that economic freedom, in addition to known macroeconomic variables, is significantly related to economic growth.

The aim of this paper is to present a methodology for the decomposition of economic growth by industry which allows interindustry comparisons.

The paper uses the growth decomposition methodology developed by Ivanov and Ivanov and Webster for tourism and generalizes it for all industries in the national economy.

The methodology is exemplified with analysis of the contribution of specific industries to economic growth in Bulgaria for the period 2000‐2005. However, the model presents an approach that is general and can be applied to other countries and industries.

The methodology identifies the direct impacts of specific industries on the per capita growth of real gross domestic product/gross value added. Future research might integrate indirect and induced effects in the analysis. The methodology could be further refined by decomposing the gross domestic product/gross value added to their constituent elements.

The paper identifies the industries in the Bulgarian economy that generate economic growth.

The paper introduces a new methodology for measuring the contribution of specific industries to economic growth. It might be of value to both academics and macroeconomic policy makers.

The purpose of this paper is to examine the relationship that exists between financial depth and economic growth in Poland for the years 1995–2019. This paper utilizes integration and co-integration techniques to capture the long-term and short-term linkages between various determinants of financial deepening, economic growth and a few selected growth variables. Financial depth is measured using two distinct measures: the monetization ratio (i.e. the ratio of broad money in the economy to the gross domestic product (GDP)) and the domestic credit provided to private sector by banks.

The paper uses a combination of Augmented Dickey–Fuller (ADF) and Phillips–Perron unit root tests, autoregressive distributive lag (ARDL) model and Granger causality tests to estimate results.

This paper finds that there is a bidirectional causal relationship between financial deepening and economic growth in the short run, but this relationship does not hold in the long run. The control variables comprising trade volume, investment, government spending and volatility in oil prices and inflation have a significant, positive relationship with economic development in the long run.

The findings are indicative of the need for further strengthening of the financial sector in Poland, such that the relationship between financial depth and economic growth is substantiated in the long run. This paper also finds room for more stringent regulation of the financial system and transparency in information available.

The purpose of this study is to examine the effects of financial development on the economic growth of jurisdictions with systemically important Islamic finance.

The authors use several estimation methods. The primary analysis is based on the LSDVC method using a sample of 23 countries covering the period of 2000–2019.

The findings suggest that the financial sector may not be a significant factor in determining economic growth, or that it may decrease it depending on the proxy used. These results are in line with recent studies and robust across different estimation specifications and methods used.

Finance practitioners may reconsider the way they conduct their daily activities as their impact on economic growth is fading away. Similarly, policymakers should consider the role that financial development plays in economic growth alongside other factors that may influence its impact. It may be necessary to examine the moderating effects of institutional development on the relationship between finance and growth and consider the channels through which financial development can contribute to economic growth. Additionally, it would be useful to study the impact of Islamic finance on economic growth using different data sources.

Although the topic has been explored using different data sets and focusing on different samples, it has not been explored considering the impact of Islamic finance development on economic growth. Given the global appeal of the Islamic finance industry, it is worth investigating its significance for economic growth.

This study aims to investigate the implications of natural gas rents and institutions as co-drivers of economic growth, focusing on the Gas Exporting Countries Forum (GECF) with panel data between 2001 and 2021.

This research paper uses a specialised two stage estimator, the panel instrumental variable technique (panel IV), which takes care of the potential endogeneity issues in the model.

The findings show that natural gas rent significantly impacts the economic growth of the GECF. On average, natural gas rent increases the sample’s growth rate by about 2.634% percentage points in the short run. The result indicates that the qualities of institutions (political and economic) have a significant positive long-term effect on the economies of the GECF. In addition, the study’s energy price volatility positively correlates with the countries’ growth.

There might be a need to investigate the effects of natural gas rents and institutions as co-growth drivers in each country within the GECF. The likelihood exists that the impact of natural gas rents and institutions on economic growth at the country’s level may differ from the outcome of such an experiment on the group level. Because of space and time limitations, this study could not carry out the specific country’s investigation of natural gas rents and institutions as a co-growth driver. That limitation may constitute further study to advance this study to a new height.

With good institutions, natural gas rent is likely to be an alternative growth driver for some economies that rely on fossil fuels like oil as a growth driver. By extension, the GECF has the potential to rival Organisation of Petroleum Exporting Countries (OPEC) in the global energy market, particularly in achieving Sustainable Development Goal number seven. In essence, evidence in this study suggests that natural gas rent has long-term positive effects on the growth of the GECF, conditioned on good institutions. Moreover, the drive of global energy consumption towards sustainable energy usage is an economic blessing for the GECF. By extension, the demand for natural gas would continue to rise, creating opportunities to improve natural gas rents. By implication, the GECF would continue to benefit from the pursuit of sustainability as the world shifts towards energy consumption with less CO₂.

Firstly, this study models the qualities of institutions for the GECF. Secondly, to the best of the author’s knowledge, this study is the first attempt to examine natural gas rents and the qualities of institutions as co-determinants of economic growth among the GECF (a potential cartel).

The purpose of this paper is to construct a financial development index for China and to analyze the relationship between the financial sector development index and economic growth.

This study uses Johansen‐Juselius cointegration approach to determine long run relationship between variables. To determine the strength of causal relationship variance decomposition is used. The stability of coefficient is evaluated through rolling window regression method.

The results of Johansen‐Juselius cointegration approach confirm long run relationship between financial development index and economic growth. Normalized cointegrating vector indicates that financial development index, real interest rate, capital and labor force positively determine economic growth in China. The yearly coefficient is provided by the rolling regression and indicates that financial development index negatively link to economic growth in 1991, 1992, 1994, 1995, 1999, 2000, 2003‐2005. Interest rate is negatively linked to economic growth in 1991‐1996, 2007 and 2008. The variance decomposition method validates that shocks in financial development index and real interest rate are explained by economic growth.

A financial development index for China is constructed and the relationship between economic growth and financial development is indicated.