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This paper aims to empirically explore the nexus between Islamic finance and economic growth across Southeast Asia based on the perception of the endogenous growth model.

This paper applied the dynamic panel one-step system GMM as an optimum estimation approach to study the influence of Islamic finance on economic growth in Southeast Asia from 2013Q4 to 2019Q4. This paper used total Islamic financing as the major exogenous explanatory factor inside the endogenous growth model, whereas the gross domestic product was used as the measurement of economic growth. The sample consisted of all complete Islamic banks operating in Southeast Asia (Malaysia, Brunei Darussalam and Indonesia).

The findings demonstrated that Islamic finance is promoting economic growth in Southeast Asia, which reflects the weighty role of Islamic finance as an energetic contributor to economic growth.

This paper would enrich the literature by studying the nexus between Islamic finance and economic growth in Southeast Asia based on the perception of endogenous growth model, as the results of this paper assist as an attendant for financial scholars, decision-makers and policymakers to expand Islamic finance globally as an alternative funding source for the best involvement to economic growth.

Despite the existing studies on the nexus between Islamic finance and economic growth, this paper is the first that explores empirically the nexus between Islamic finance and economic growth in Southeast Asia based on the theoretical background of the endogenous growth model to obtain solid information on this nexus.

The purpose of this paper is to develop growth models that depart from the conventional framework, in the sense that consumption decisions take into account previous periods' expectations about output fluctuations. Households will raise their propensity to consume in periods of expected expansion and they will lower it in phases of predictable recession. Such a framework allows discussion of how growth trends may be disturbed over time as the result of changes in consumer sentiment.

Endogenous growth models are generally designed to address long‐term trends of growth. They explain how the economy converges with or diverges from a balanced growth path and they characterize aggregate behavior, given the optimization problem faced by a representative agent that maximizes consumption utility. In such frameworks, only potential output matters and all decisions, by firms and households, are taken on the assumption that any expectations on the value of the output gap do not interfere with the agents' behavior. Introducing consumer sentiment, a conventional growth model is modified in order to understand how effective output eventually deviates from the balanced growth path.

The proposed framework allows one to introduce nonlinear dynamics into the model, making it feasible to obtain, for reasonable parameter values, endogenous fluctuations. These are triggered by a Neimark‐Sacker bifurcation.

By introducing consumer confidence or consumer sentiment, it is possible to integrate the evaluation of growth and cycles into a unified framework. It is possible to explain business cycles as the result of the consumers' reaction to the expected performance of the economic system.

This paper seeks to explain how inefficient learning rules may lead to a perception of economic and ecological realities that may be systematically distorted in the long run.

The paper evaluates long‐term growth in standard growth‐pollution models. Expectations about future levels of pollution are formed under adaptive learning.

Socio‐economic players (private agents, governments, non‐profit organizations and/or groups of states) may fail in understanding, with full accuracy, long‐term environmental conditions. The perception about environment threats acquires a cyclical nature, even when ecological problems evolve steadily.

Relevant policy implications emerge if the agent is unable to compute the true levels of environmental pollution that will persist in the steady state. Authorities of several kinds are likely to underestimate or overestimate ecological problems.

The learning approach to the perception of the environment can be applied to other economic, social and biological issues, besides material growth. For instance, it can contribute to explain some cases of over‐exploitation of resources: even in the presence of a social planner capable of avoiding typical “tragedy of the commons” situations, this entity may fail in perceiving the reality and, thus, in applying the policies that prevent the exhaustion of resources.

The paper contributes to the literature on growth and environmental issues, but takes a step forward: it approaches not only the observed relation between economy and ecology, but also the impact over the observed relation of a systematically incorrect interpretation of such a connection.

This study aims to empirically investigate the connection between Islamic finance and economic growth in Turkey using the endogenous growth model.

It applies quantile regression with the Markov chain marginal bootstrap resampling technique by adopting total Islamic financing as the main exogenous explanatory factor in the endogenous growth model, while the gross domestic product (GDP) is employed as a measure of economic growth. The sample consists of all full-fledged participation (Islamic) banks operating in Turkey spanning from 2013Q4 until 2019Q4. The study uses academic literature, official financial reports from the Participation Banks Association of Turkey, REDmoney Group, Islamic Financial Services Board (IFSB) and the International Monetary Fund (IMF) database.

The results show that Islamic finance is promoting economic growth in Turkey, which mirrors the success of the New Turkish Economy Program (2019–2021) which aims at boosting economic growth by enhancing the Islamic finance share in the Turkish banking sector and the global market.

Turkey has a dual banking system (conventional and participation (Islamic)) and both can influence the country's real economy. This study is limited to the influence of Islamic banking on Turkish economic growth. The study also restricts its size and coverage from 2013Q4 to 2019Q4, to cover the years over which data for all variables included in the research are available.

This paper suggests the adoption of the Turkish successful experiment as a path to reach economic growth by increasing the Islamic finance share in the banking industry for countries that seek to promote economic growth by Islamic finance, as the findings of this paper support.

This study is the first that examines the influence of Islamic finance on economic growth under a new theoretical framework of the endogenous growth model in Turkey using a robust non-parametric approach.

The purpose of this paper is to investigate the link between the financial performance of Islamic finance and economic growth in all of Malaysia, Indonesia, Brunei, Turkey and Saudi Arabia within the endogenous growth model framework.

This study applied dynamic panel system GMM to estimate the impact of the financial performance of Islamic finance on economic growth using quarterly data (2014:1-2018:4). CAMELS system parameters were employed as variables of the financial performance of Islamic finance and gross domestic product (GDP) as a proxy of economic growth. The sample contained all Islamic banks working in the five countries.

The findings demonstrated that the only significant factor of the financial performance of Islamic finance, which affects the endogenous economic growth, is profitability through return on equity (ROE). The experimental findings also indicated the necessity of stimulating other financial performance factors of Islamic finance to achieve a significant contribution to economic growth.

The analysis in this paper would fill the literature gap by investigating the link between financial performance of Islamic finance and economic growth, as this study serves as a guide for the academians, researchers and decision-makers who want to achieve economic growth through stimulating Islamic finance in the banking sector. However, this study may well be extended to investigate the link between the financial performance of Islamic finance and economic growth over the Z-score model as another measure for the financial performance of Islamic finance.

This paper is the first that investigates the link between financial performance of Islamic finance and economic growth empirically using CAMELS parameters within the endogenous growth model to provide robust information about this link based on a sample of the top pioneer Islamic finance countries.

This paper aims to investigate empirically whether Sukuk financing is boosting the economic growth in Southeast Asia within the framework of the endogenous growth model.

This paper applied dynamic panel one-step system generalized method of moments as an optimal estimation approach to investigate the impact of Sukuk financing on economic growth in Southeast Asia spanning from 2013Q4–2019Q3. Sukuk financing was proxied by the total issued Sukuk holdings, while economic growth was proxied by gross domestic product. The sample covered all full-fledged Islamic financial institutions in the most developed Sukuk financial markets countries in Southeast Asia (Malaysia, Indonesia and Brunei).

The findings demonstrated that Sukuk financing is boosting economic growth in Southeast Asia, which reflects the significant role of the Islamic financial markets of Sukuk as a vital contributor to economic growth.

This paper would fill the literature by investigating the link between Sukuk financing and economic growth in Southeast Asia within the framework of the endogenous growth model, as the outcome of this paper serves as a guide for financial researchers, decision-makers and policymakers to improve the Sukuk market globally as an alternative financing source for the best contribution to economic growth.

This paper is the first that investigates empirically the link between Sukuk financing and economic growth in Southeast Asia with a new theoretical context of the endogenous growth model to gain robust information about this link.

This paper seeks to explore the factors behind the slow growth of economies with abundant oil and gas resources, despite the opportunities these resources potentially represent.

The building blocks of standard economic growth models and the implication of natural resource utilisation is the methodological and analytical approach adopted. A qualitative analysis of the impact of oil and gas activities on the growth of the Nigerian economy is carried out using relevant macroeconomic indicators.

The oil and gas sector is imbued with enormous linkage potentials that can stimulate other sectors to generate endogenous growth. Emphasis on the extraction and export of oil and gas subverts technological progress, stifles the revenue earning potential of the economy and stultifies the effectiveness of factors of production, thereby retarding economic growth.

Data on technological input into oil and gas activities could not be obtained, but the changing pattern of productive capacity, especially in the downstream sub‐sector, is used as a measure of technological change.

Oil‐ and gas‐abundant economies can exploit potential comparative advantage by creating favourable conditions in value‐adding oil and gas activities. Through spill‐over effects a wide range of economic activities evolves, with concomitant market expansions. Positive externalities for learning‐by‐doing arising from this process can lead to endogenous technological progress to drive sustainable economic growth.

The findings show that rather than reliance on foreign exchange revenues from oil and gas, creating the appropriate conditions for the effective domestic utilisation of oil and gas resources to bolster inter‐sectoral linkages is a more virile strategy for oil‐and‐gas driven economic growth.

The purpose of the paper is twofold: to construct and analyze a novel endogenous growth model, in which unbounded growth is possible without the need to assume increasing returns to scale, and to use the model to estimate the long-run (or dynamic) costs of recessions.

In the proposed model, endogenous technology and human capital accumulation serve as the “twin engines of growth.” Simulations are used to derive growth rates consistent with long-term experience of developed countries, to understand better the differences between balanced growth and unbounded growth and to provide an estimate of the dynamic costs of capacity utilization shocks that produce business cycle-like behavior.

Conservative calculations show that the costs of the capacity shocks can be large – about 1.5 percent of the present value of output over a 100-period horizon. The theoretical model also suggests that differences in the technology production and human capital accumulation functions, possibly due to differing institutions, may help explain diverse growth experiences.

The paper, for first time, combines two strands of the economic growth theory – endogenous technology and endogenous human capital production – into a single model. It uses the implications of the model to argue, through simulations, that the benefits of counter-cyclical policies are potentially large in the long run.

The purpose of this paper is to evaluate the role of human capital technology spillovers across countries in converging their growth rates.

This paper develops a closed form mathematical endogenous growth model and applies it to a small open economy using simulation and calibration techniques.

The paper finds that human capital technology spillovers play an important role in convergence in growth rates across countries regardless of tax policy and that there will be non‐convergence in levels if saving rates are differentially distorted across countries because of taxes. In addition, the exploration of the optimal tax reveals that such a structure is a consumption tax.

This paper implies that higher levels of human capital are important in attaining higher levels of per capita income.

This paper shows that some implications for the endogenous growth model are equivalent to those from the Solow model. This implies that some empirical tests commonly used will not resolve which model is more appropriate.

The purpose of our study is to examine the inflation–growth nexus relationship for Swaziland between 1975 and 2016 with the intention of estimating an optimal level of inflation, which maxims economic growth or minimizes growth losses.

We estimate on an endogenous monetary model of economic growth augmented with a credit technology using a smooth transition regression (STR) model, which allows us to estimate an optimal inflation rate characterized by smooth transition between different inflation regimes.

Our empirical results point to an inflation threshold estimate of 7.64 per cent at which economic growth gains are maximized or similarly growth losses are minimized. In particular, we find that above this threshold economic agents may be able to protect themselves from inflation through credit technology and a more urbanized population and yet such high inflation adversely affects the influence of exports on economic growth. This noteworthy since a majority of government revenues is from trade activity via the country's affiliation with the Southern African Customs Union (SACU).

The major contribution of this paper is that it becomes the first to draw directly from endogenous growth theory to estimate the inflation threshold for any African country, which will hopefully pave a way for similar studies on other African countries.