. Hamdard Islamicus Vol. XLV, No. 3 29 DOES ISLAMICITY AFFECT ECONOMIC GROWTH? EVIDENCE FROM OIC, HIGH, MIDDLE, AND LOW-INCOME COUNTRIES MOHD ZIA UR REHMAN Department of Finance, CBA, King Saud University, Riyadh, Saudi Arabia ziacommerce@gmail.comEmail: MUHAMMAD NAUMAN KHAN Faculty of Business Studies, Arab Open University, Jeddah, Saudi Arabia. HAKAN ASLAN Department of Islamic Economics & Finance, Sakarya University, Turkey Received on: 11-12-21 Accepted on: 23-07-22 https://doi.org/10.57144/hi.v45i3.392 Abstract Islam is a way of life which not only affects the social and personal aspects of human life but also plays a significant part in the political and economic decisions of the people. Empirical studies on the chief determining factors of economic growth have neglected the effect of Islamicity on economic growth. This study expands upon the recent literature on economic growth and Islamicity. By using the Islamicity indices data for the first time, this study provides a brand-new viewpoint on Islamicity and the economic growth nexus in the world, focusing on sub-divisions of high, middle, and low- income countries and the Organization of Islamic Countries (OIC). The data spans from 2010 to 2017 while using a dynamic model. By applying the panel techniques, we provide empirical evidence indicating that the Islamicity effect becomes weaker as the economy grows regardless of whether a country is an OIC member. Keywords: Islamicity, Economic Growth, OIC, Panel Technique JEL Classification: O47; P52; C50 1. Introduction and Background Islam is a religion which is an all-encompassing way of life that governs a Muslim's entire being. It is essential to highlight that mailto:ziacommerce@gmail.com https://doi.org/10.57144/hi.v45i3.392 30 Does Islamicity Affect … for the purposes of this article, Islam is defined in this general context, which covers the cultural, social, political, legal, and economic notions which are derived from this faith rather than just its manifestation. The Holy Quran has several sections that promote trade, commerce, and market-oriented production. Furthermore, Islam permits profit and property ownership as long as the profit is earned without abusing others and, the property is used in "a pious, socially beneficial, and prudent" way. Islam does not appear to be a barrier to economic development.1 The Islamicity Index reflects the reason behind West’s better performance in comparison to the OIC countries. One of the chief reasons is the advanced quality of institutions in the western world compared to the Muslim world. It compels Muslims to reflect on the foundation of Islamic values which have been adopted by the Western world and have helped them surpass Muslims in many aspects of the economy. The OIC member countries can improve their performance if they adopt Islamic values in a true sense and reform their institutions such as the role of law, political stability, regulation quality, control of corruption, and so forth. Muslims make up for more than a billion of the globe's populaces and manifest a central portion of the population in many countries. Furthermore, most Muslims reside in the Organization of Islamic Countries (OIC) economies. OIC economies are endeavoring to enhance their gross domestic product (GDP) growth and unlock their economic landscape through different modes. As these countries are predominantly Muslim states, the road map for further growth is centric on a comprehensive Islamic economy work plan. Supporters of Islam-based Economic Systems assert that the purported system is centrally unique from other systems as it is centred on ethical and religious pillars that are missing in other arrangements. Weber clarified that the Protestant Reformation was pertinent to the ascension of Capitalism by the influence of religious doctrine.2 In line with this, Iannaccone3 and Anderson4 proposed that a set of religious faiths influence behavioral conduct and economic functioning. Moreover, Lal5 and Kuran6 suggested for institutions acting as intermediaries to act as channels by which religious doctrines influence economic performance at the macro level. On the economic landscapes in Muslim countries, it is pertinent to note that the Islamic principles about the significance of the economic perspectives have been taken from the verses of the Holy Quran, several Hadīth (documented sayings of the Prophet Hadrat Muhammad Rasulullah Khatam un Nabiyyin Sallallahu ‘alaihi wa ‘ala Alihi wa Ashabihi wa Sallam, Sunnah (traditions and practices of the Islamic Prophet (Hadrat Muhammad Rasulullah https://www.sciencedirect.com/science/article/pii/S0305750X05000823?casa_token=_lE-2llG9B0AAAAA:qpa3iZHJzwOxTpgeVcG8x-X9xQhfrrL5IEpeEVUN5P3VifjjHRQw6Z2idlo_wxDJKP-_jdRnDQ#bib56 Hamdard Islamicus Vol. XLV, No. 3 31 Khatam un Nabiyyin Sallallahu ‘alaihi wa ‘ala Alihi wa Ashabihi wa Sallam) that establish a perfect structure for Muslims to pursue), the Sharī’ah (Muslim laws and their interpretation), and the Ijmā' (views of the religious authorities). The Holy Quran is clear when it comes to honesty and fairness in commerce and trade. It is mentioned in the Holy Quran, "And measure full when you measure. And weigh with an even balance. This is better and its end is good"7. The indication we get from this verse is that Muslims should be honest in their business dealing. The inference which can be drawn in the context of OIC member countries is; being honest and fair in commercial dealing which would then be reflected in the quality of institutions and conrolling corruption. Similarly, it is also mentioned in the Holy Quran "Woe to those that deal in fraud, those who, when they have to receive by measure from men, exact full measure, but, when they have to give by measure or weight to men, give less than due. Do they not think that they will be called to account?"8. This verse also indicates that Muslims should not engage in fraudulent activities and must stay fair in dealing with others. Finally, Muslims must keep their promises as mentioned in the Holy Quran; "O you who believe! Fulfil [your] obligations"9. The covenants of the OIC encourage economic pursuits to promote the intra-OIC relationships in the socio-economic landscape. However, studies have revealed that most member countries are marginalized in a number of areas.10 Whether or not the Muslim countries are underachievers compared to the non-Muslim countries is obscure. Thus, this study proposes a rational and thoughtful Islamic economic system that shall be of paramount significance not only to academicians, but also to market participants and policymakers. Few studies have been conducted on the impact of the Islamic Economic System on the OIC countries. The current study lessens the deficit in the extant literature by exploring the impact of Islamicity on economic growth through employment of the Generalized Method of Moments (GMM) method on annual data taken from the World Bank and Islamicity index website for countries in the years 2010–2017. This study on OIC and non-OIC countries reveals that at the highest 75th quantile, i.e. higher economic growth, the association between Islamicity and economic growth across OIC and non-OIC nations becomes weak regardless of whether the country belongs to OIC or non-OIC member nation. 32 Does Islamicity Affect … The remainder of this paper is organized as follows: The Second Section presents the literature review; Section Three covers the data and methodology; the Fourth Section presents and discusses the empirical results and finally, the Fifth Section concludes the paper and suggests policy implications based on our conclusion. 2. Literature review Rehman and Askari brought out the concept of the Islamicity index which encompasses the economy, legislation and governance, human rights and politics, along with international relations.11 They revealed that Islamic nations are not as Islamic, at least in financial aspects, as one may anticipate. Moreover, the study pointed out that most self-proclaimed Islamic nations have not embraced economic arrangements that are in congruity with Islamic lessons. Through the findings, the study cautiously conjectured that the nonexistence of economic development might be due to incompetent institutions, improper economic policies, and exploitation. Iqbal and Mirakhor highlighted the dimension of Islamic finance applicable to economic development.12 They aimed to improve comprehension of the viewpoint of Islamic finance on economic development and related allied arenas. Meanwhile, through theoretical, practical, and empirical research, Askari, Iqbal, and Mirakhor discovered the various areas and sub-areas of Islamic banking, finance, and economics.13 The key focus is on prime progress in the Islamic financial industry and pertinent additions made to innovations in tools, regulatory and supervisory matters, risk management, insurance, and asset management. Their study offered a detailed examination of institutional, operational, and instrumental aspects of the aforementioned areas. Moreover, Ng, Ibrahim, and Mirakhor made an attempt to report the framework for progress of social capital in Islamic finance, mainly the stock market. This study highlights the significance of trust and ethics in developing an upright, fitting, and competent financial system.14 Further, Akin, Iqbal, and Mirakhor gauged the economic status concerning their financial structure's openness to risk-sharing finance, the concept that shapes the center establishment of Islamic finance15. The study reported that the OIC countries are far from fulfilling the fundamental conditions of establishing risk-sharing finance. Thereby, a scarcity of efficient institutions, coherent rules and regulations, proper monitoring and enforcement, and robust governance in OIC economies is revealed. Thus, a structure for the holistic development of Islamic finance is urgently required. Further, Ghazal and Zulkhibri gauged the Islamic economic performance and social progress centered on Maqāṣid al-Sharī‘ah standard to form an Islamic Inclusive Growth Index (I-IGI) for Muslim-based economies.16 The outcome from the stipulated index Hamdard Islamicus Vol. XLV, No. 3 33 revealed that the said economies of Muslim countries, notwithstanding having success in terms of inclusiveness, agree with Maqāṣid al-Sharī‘ah doctrines. Contrariwise, the underprivileged Muslim economies in Sub-Saharan Africa, which reveals poor ranking on the purported index, generally accomplished well in Sharī‘ah compliance area. Ibrahim highlighted the significance of inculcating the concept, principle, dimension, and values of Islamic work ethics (IWE) routinely, which shall lessen the deficit between the principles of IWE and the actual gains of economic development in Islamic economies.17 Meanwhile, Dieye suggested and examined the notion that the Islamic economic model set in the Holy Quran and practiced by the Prophet (Hadrat Muhammad Rasulullah Khatam un Nabiyyin Sallallahu ‘alaihi wa ‘ala Alihi wa Ashabihi wa Sallam) shall be a pragmatic model for Muslim and non-Muslim economies.18 Moreover, using the path analysis model with data from 123 countries, Muchdie examined the impact of Islamicity on global competitiveness with human development as a moderator factor. His study revealed that Islamicity had a favorable and significant direct impact on global competitiveness.19 Moreover, Muchdie investigated the linkage and impact of Islamicity on happiness, with human development and global competitiveness as moderating variables. The study displayed a robust relationship among the stipulated variables by using a path analysis model on the data of 123 countries.20 Meanwhile, Askari proposed a set of indices that provides a yardstick for gauging the level to which an economy adopts the codes and conventions stated in Islam.21 The study gauged the performance of Muslim countries through the Islamicity indices, which rest on the Holy Quran. The study also recommended the adoption of the purported indices for the Muslim countries, which shall turn in the required reforms and make reform and effective institutions. Furthermore, Muchdie examined the impact of Islamicity on happiness, with human development as a moderator factor. The study covered the cross-sectional data on Islamicity, human development, and happiness indices from 124 economies and used a path analysis model. The study highlighted the significant role of Islamicity in human development and happiness.22 Mirakhor and Askari highlighted a meta-structure for an economy projected in Islam through Islam.23 Further, they stated that the model was put into practice by Prophet Muhammad (Hadrat Muhammad Rasulullah Khatam un Nabiyyin Sallallahu ‘alaihi wa ‘ala Alihi wa Ashabihi wa Sallam) in Medina, and thus, the Muslim countries have a flawless course of plan to establish efficient institutions to attain prosperity. 34 Does Islamicity Affect … Rahayu and Septiarini investigated the probability of the existence of differences in Islamic banking in ASEAN countries from 2011 to 2016 through purposive sampling. The Islamic banks in Indonesia, Malaysia, Brunei Darussalam, and Thailand were employed, and the analysis of different tests was performed through ANOVA and the Kruskal Wallis test. For this study, secondary data was acquired from financial reports from 2011 to 2016. In terms of Profit-Sharing Ratio (PSR), Zakat performance ratio (ZPR), Equitable Distribution Ratio (EDR), Islamic Investment vs Non- Islamic Investment (IIR), and Islamic Income vs Non-Islamic Income (IsIR), the results reveal that the Islamic banks have different Islamicity performance indexes.24 Asnawi, Wicaksono and Setyaningsih examine the development and application of Maqāṣid al-Sharī‘ah principles and economics principles to calculate the economic Islamicity Index and the geographical function of mapping Islamic economic health in the Indonesian archipelago. The economic Islamicity Index findings are established utilizing the embedded mix method by establishing multi- Stage weighted index results. The economic Islamicity Index's empirical findings indicate that Indonesia's Islamic economic performance is significant to DKI Jakarta province and Java Island. Meanwhile, in every Indonesian province, geographical global demonstrates a considerable spatial autocorrelation linkage with Islamic economic performance.25 Hussain et al. identifies the links between natural resources, Islamicity, and financial deepening which aid states in establishing strategies and regulations for resources to enhance economic advancement. The research investigates financial advancement in six Asian economies (Pakistan, Indonesia, Philippines, Qatar, Bahrain, and Thailand) using an innovative Adaptive Neuro-Fuzzy Inference System (ANFIS). This analysis reveals that as natural resources dwindle, financial development rises in all studied economies. Natural resources as predictors against financial development, when utilised as a criterion, are similar in the economies considered. Regarding the Islamicity Index, Pakistan, Indonesia, and Thailand exhibit comparable findings, as do the Philippines, Qatar, and Bahrain. Financial development rises in Pakistan, Indonesia, and Thailand as the Islamicity index falls, whereas it rises in the Philippines, Qatar, and Bahrain as the Islamicity index rises. The upshot is that resource-rich countries have a negative link with economic progress. It indicates that nations with extensive natural resources boost their exports rather than utilize them in manufacturing.26 Indrianasari et al. investigates the Islamicity Performance Index and Profitability Determinants in the BPR Syariah East Java Province. This study covers explanatory research for investigation. Hamdard Islamicus Vol. XLV, No. 3 35 Multivariate analysis employing the Autoregressive and Distributed Lag (ADL) methodology was applied as the analytical method utilizing panel data samples from 15 institutions. The study reveals that profitability is unaffected by the Profit-Sharing Ratio variable. This indicates that the Profit-Sharing Ratio does not influence the rate of increase or reduction. The Zakat Performance Ratio has a variable influence on the increase or decline in profitability, although it takes time or a one-year lag.27 Dian, et al. investigate and explain how firm characteristics, corporate governance, and capital structure affect the Islamicity Disclosure Index. This descriptive study uses hypothesis testing to explain the causal link between the research variables. The data analysis method is known as Generalized Structured Component Analysis (GSCA). The study reports that Firm Characteristics and Capital Structure are two variables that have a favorable and significant effect on the Islamicity Disclosure Index. Corporate governance characteristics influence the Islamicity Disclosure Index positively but not significantly in statistical terms.28 Lisa examines the impact of macroeconomic factors, namely, the exchange rate, inflation, and the Bi rate on deposit and Islamicity performance index, as well as the impact of third-party funds on the Islamicity performance index. Through third-party funds, the study investigates the impact of the macroeconomic performance index Islamicity. Path analysis was employed as analysis approach. The study reports that the macroeconomic path, which includes the exchange rate and the BI rate, has a considerable impact on third-party funds and the Islamicity performance index; however, inflation has little impact on third-party funds and the Islamicity performance index. The impact of third-party funds on the performance index is significant.29 Askari, Mohammadkhan, and Mydin explored the Islamicity of Muslim countries through four indices to gauge conditions on four dimensions—economic, legal and governance, human and political rights, and international relations and the overall situation as the fifth index. They studied 150 economies, including 38 Muslim economies, from 2000 to 2016. European economies covering Canada, New Zealand, and Australia unvaryingly take the highest position in all five indices. Meanwhile, the average scores of Muslim economies in the index went from bad to worse during the stipulated period. The study recommended a set of reforms for Muslim countries.30 In addition, Sidek, Said, and Hasan manifested the expansion of Islamic development management covering good governance, sustainable development, the progress of waqf and takaful, the advancement of value-based activities, progress in fiqh and legal framework, and the expansion of Islamic principles in other related areas.31 Lastly, Askari and Khan designed five Islamicity indices to gauge rule conformity: economic, legal, and governance, human and political rights, international relations, and overall Islamicity. They revealed that 36 Does Islamicity Affect … multiple Western developed economies are the most outstanding performers, whereas the Muslim economies are well short of average performance. 32 3. Methodology 3.1. Data and variable The present study uses annual data from the World Bank33 and Islamicity index websites34 for all countries from 2010 to 2017. Economic growth is considered a dependent variable, while others are considered independent variables for correct model specification. 3.2. Islamicity index Scholars, such as Jaffe35 studied religion and growth nexus. The Islamicity indices measure how the country is adhering to Islamic teachings. To construct the Islamicity indices, the Islamic teachings are divided into four dimensions: Economic Islamicity, legal and governance, human and political rights, and international relations. Economic Islamicity includes economic opportunity and freedom, equal access to education and health care, job creation and equal access to employment, property rights and sanctity of contracts, prevention of corruption, provision of poverty, provision of aid and basic human need, taxation and social welfare, supportive financial system, adherence to Islamic finance, economic prosperity, and economic justice. Meanwhile, legal and governance contains legal integrity, management index, government governance, and perceptions about the government. Similarly, human and political rights comprises of human development, civil and political rights, women's rights, global democracy, and perceptions of well-being. Finally, international relations includes globalization and military/wars. 3.3. Control variables Economic policies impact a country’s growth by affecting macroeconomic variables, such as government expenditure, foreign direct investment (FDI), population growth, gross capital formation, education, and financial development. These macro-variables are considered in the equations to check the influence of macroeconomic fundamentals. Government expenditure (GE) has been used in empirical studies to determine its effect on economic growth.36 FDI is one of the crucial drivers of economic growth. Much empirical literature justifies the role of FDI in economic growth as it accumulates physical and human capital to be transferred to the receiving country. The transfer of technology to the receiving countries in the form of FDI requires capable factors with extra Hamdard Islamicus Vol. XLV, No. 3 37 efficiency, which impacts economic growth.37 Two variables, namely, population growth rate (POP) and the gross secondary enrollment rate (EDU), have been used to capture the impact of human capital on economic growth. A large body of literature favors human capital as an instrument to increase economic growth.38 In his famous study, Solow revealed that the higher the investment rate, the higher the savings per labor productivity.39 Bakare mentioned that capital formation must consider the proportion of current income saved and invested in augmenting future income and output.40 Moreover, several economic theories posit that capital formation plays a vital role in economic growth models.41 Capital formation is measured in this study as gross fixed capital formation (GCF). Our model also includes domestic credit to the private sector as a proxy (DC) for financial development. This is because financial markets are the key to economic growth as they diversify economic resources from unproductive sectors to productive uses. In his seminal work, Schumpeter pointed out that the financial sector is a crucial factor for growth as it allocates savings, encourages innovation, and provides a fund for productive investment.42 Table A1 presents the data sources, the description of variables, and descriptive statistics. 3.4. Model We propose Mankiw et al.'s extensive augmented growth model as follows: 43 𝑦𝑖𝑡 = 𝛾 + 𝛽𝑖𝑦𝑖𝑡−1 + ∑ 𝜃𝑝𝑖 𝑛 𝑝=1 𝑋𝑖𝑡 𝑝 + 𝛿1𝑖 𝐼𝑠𝑙𝑎𝑚𝑖𝑐𝑖𝑡𝑦𝑖𝑡 + 𝐾𝛽1𝐿𝛽2 + 𝜈𝑡 + 𝜇𝑖 + 𝜖𝑖𝑡 (1) where 𝑦𝑖𝑡 is the economic output for nation i and period t, and X represents control variables. To control for the model misspecification, using theoretical and empirical literature, we add as many regressors to separate the influence of Islamicity from other variables, including K (gross capital formation), L (population), education (human capital), GE, and financial development. Islamicity is an Islamicity index variable. 𝜈𝑡 is time-specific effect that are considered to control for period effect on all countries in the sample. 𝜖𝑖𝑡 is an error term, and 𝛽𝑖𝑦𝑖𝑡−1 is the lag-dependent variable. Additionally, dependent variable is added as an independent variable i.e. lag to avoid long run memory of the dependent variable. Meanwhile, 𝜇𝑖 is a country-specific effect, and 𝛾 is constant. The corresponding panel econometric model of equation (1) is 38 Does Islamicity Affect … 𝑦𝑖𝑡 = 𝛾 + 𝛽𝑖𝑦𝑖𝑡−1 + 𝛿1 𝐼𝑠𝑙𝑎𝑚𝑖𝑐𝑖𝑡𝑦𝑖𝑡 + 𝜃1𝑋𝑖𝑡 + 𝛼1 ln(𝑔𝑐𝑓𝑖𝑡) + 𝛼2 ln(𝑝𝑜𝑝𝑖𝑡) + 𝜇𝑖 + 𝜈𝑡 + 휀𝑖𝑡 (2) Where y is the economic growth, Islamicity is Islamicity index, and X is a set of control variables, gcf is proxy for capital (K) and pop is the proxy for labor (L), which are the main variables for growth model. Moreover, 𝛾 is the constant term, 𝜇𝑖 denote nation’s effect, 𝜈𝑡 is considered to remove year differences, ε𝑖𝑡 is the residual, and 𝑙𝑛 means nature logarithm function. Equation (2) is the extension of equation (1) which estimates the relationship between Islamicity and economic growth. Following Mankiw et al. the study estimates the influence of Islamicity on economic performance.44 This neoclassical augmented growth model is selected for two reasons. First, the model considers human capital, which is considered to be crucial for the development of an economy as it increases labor productivity level. Second, the current study sees how Islamicity influences economic growth. Therefore, other macroeconomic fundaments are also used in the equations. Considering our focal variable, that is, Islamicity, and the heterogeneity of the coefficients and related control variables, we develop the below equation (3) which consists of dependent variable i.e., economic growth, lag of dependent variable, Islamicity, and additional control variables: 𝑦𝑖𝑡 = 𝛾 + 𝛽0𝑦𝑖𝑡−1 + 𝛽2𝐼𝑠𝑙𝑎𝑚𝑖𝑐𝑖𝑡𝑦𝑖𝑡 + 𝛽1𝑋𝑖𝑡 + 𝜈𝑖 + 𝜇𝑡 + 𝜖𝑖𝑡 (3) Where 𝑦𝑖𝑡 denotes economic growth, i is for nations, and t is for the period, 𝛽0𝑦𝑖𝑡−1 is the economic growth i.e. lag of dependent variable indicating the first condition, 𝐼𝑠𝑙𝑎𝑚𝑖𝑐𝑖𝑡𝑦𝑖𝑡 is Islamicity index, 𝑋𝑖𝑡 is for additional variables, 𝜈𝑖 remove nation differences while 𝜇𝑡 reduces period difference and 𝜖𝑖𝑡is the error term. The above equation (1) has been assessed using the GMM model and other panel techniques such as fixed and random effects. Contrary to the traditional co-integration and OLS model. The main advantage of GMM is that it controls the association between Xs' and error term and lag variable and 𝜈𝑖 . 𝛽2 is the coefficient of the main focal variable i.e. Islamicity nexus with economic development? Thus, we get the following equation (4) from the above equation (3), that is: Hamdard Islamicus Vol. XLV, No. 3 39 𝑦𝑖𝑡 = ∑ 𝜈𝑘𝑦𝑖𝑡−𝑘 𝑝 𝑘=1 + 𝛽1𝑋𝑖𝑡+ 𝛽2𝐼𝑠𝑙𝑎𝑚𝑖𝑐𝑖𝑡𝑦𝑖𝑡+ 𝜖𝑖𝑡 (4) 𝑡 = 𝑝 + 1, … … … , 𝑇 = 1,2,3 … … … … 𝑁 𝜖𝑖𝑡 = 𝜈𝑖 + 𝜇𝑡 + 𝜖𝑖𝑡 Where 𝛽1 is parameter of Xs' and 𝑝 represents maximum lag. There is no change in other variables. The GMM estimator i.e. δ is computed by using dynamic model having the following form: 𝑊𝑖 𝑎𝑛𝑑 𝑦𝑖 are transformations of 𝑊𝑖 and 𝑦𝑖 respectively, 𝑋𝑖 is used as a matrix for instrumental variables, and 𝜆𝑖is the nation weighting matrix. The estimator used pooled cross-country and time series properties while using additional information provided by the variations in the level of economic growth and its intrinsic drivers. Moreover, the GMM estimation technique is used to estimate the above equations. We have also used other panel techniques, namely, panel quantile regression. 4. Empirical Results and Discussion 4.1. Descriptive statistics Table 1 provides a summary of descriptive statistics. As shown in Table 1, there is substantial variation between OIC and non- OIC countries in terms of education, domestic credit, and Islamicity. The highest enrollment rate is in non-OIC countries compared to OIC countries. Similarly, credit extension to the private sector is lower in OIC countries than in non-OIC countries. Finally, Islamicity score is higher in non-OIC countries than in OIC countries. 40 Does Islamicity Affect … OIC COUNTRIES Variable Obs Mean Std. Dev. Min Max gdp 311 4.2456 9.4882 −62.0759 123.1396 rank 320 105.1583 33.4641 39 153 ge 289 2.31E + 10 3.49E + 10 2.68E + 08 1.97E + 11 fdi 294 3.40E + 09 4.82E + 09 −2.17E+9 2.92E + 10 pop 320 2.3879 1.6716 −3.10723 11.2206 gcf 289 4.69E + 10 7.28E + 10 3.10E + 08 3.40E + 11 edu 210 68.4980 28.2736 13.3735 116.6471 dc 276 38.1512 27.9079 3.94270 125.1471 NON-OIC COUNTRIES Variable Obs Mean Std. Dev. Min Max gdp 869 3.5417 3.2334 −9.7729 25.5572 rank 872 64.8792 41.8593 1 151 ge 848 1.04E + 11 3.01E + 11 1.84E + 08 2.66E + 12 fdi 851 1.78E + 10 5.11E + 10 −3.11E+10 5.06E + 11 pop 871 1.1054 1.1241 −2.2584 3.5703 gcf 849 1.54E + 11 5.44E + 11 0 5.34E + 12 edu 584 90.2104 25.9025 23.9293 163.9305 dc 807 65.8060 49.38 3.7239 253.262 Hamdard Islamicus Vol. XLV, No. 3 41 Table 1: Descriptive statistics 4.2. Correlation Table 2 provides correlations among the different indicative factors and GDP. The low correlation between indicative factors and GDP has been observed in the case of OIC countries (vs. non-OIC economies). In both groups of countries, education and credit extension to the private sector are strongly negatively correlated with the Islamicity index. Meanwhile, Non-bank Deposit is statistically significant and positively correlated with non-bank credit (0.81). The Islamicity index and GDP exhibit little pairwise correlation in the case of OIC countries relative to non-OIC countries. OIC COUNTRIES gdp rank ge fdi Pop gcf edu d c gd p 1 ra nk −0.0 192 1 ge 0.04 89 −0.32 9* 1 fdi 0.06 74 −0.36 9* 0.681 3* 1 po p 0.02 87 −0.19 9* −0.12 1* −0.18 4* 1 gc f 0.06 41 −0.28 5* 0.871 7* 0.763 7* −0.21 5* 1 ed u −0.0 232 −0.65 0* 0.411 7* 0.288 2* −0.07 65 0.35 76* 1 dc −0.0 678 −0.70 8* 0.229 7* 0.251 1* 0.099 0.20 94* 0.49 94* 1 NON-OIC COUNTRIES 42 Does Islamicity Affect … gdp rank Ge fdi Pop gcf edu d c G dp 1 ra nk 0.27 42* 1 G e −0.0 82* −0.23 85* 1 Fd i 0.00 25 −0.24 99* 0.718 1* 1 Po p 0.35 01* 0.554 6* −0.14 92* −0.10 56* 1 G cf 0.03 24 −0.11 92* 0.877 0* 0.710 5* −0.11 52* 1 Ed u −0.3 69* −0.79 19* 0.168 7* 0.213 8* −0.63 18* 0.10 98* 1 D c −0.2 77* −0.64 62* 0.415 2* 0.396 0* −0.34 92* 0.34 94* 0.51 49* 1 Table 2: Correlation Significant at 5% level 4.3. Discussion Table 3 reports the impact of Islamicity on economic growth using the GMM method. Model (1) displays the overall results: OIC and non-OIC countries. Model (2) depicts high-income countries, model (3) denotes middle-income nations, and model (4) consists of low-income nations. Lastly, model (5) expresses the impact of Islamicity on economic growth in OIC nations. Islamicity across all models (i.e., models (1), (2), (3), (4), and (5) is statistically significant and negatively correlated with economic growth. All models confirm a negative impact, regardless of whether the countries belong to high- income, low-income, middle-income, or OIC nations when it comes to the GMM estimation method. The results also show no significant difference between OIC and non-OIC countries in terms of the impact of Islamicity on economic growth. There are many factors behind these results, but one of the major factors is that most OIC member Hamdard Islamicus Vol. XLV, No. 3 43 countries are developing countries with low-quality institutions such as the role of law, political stability, regulation qualities, and control of corruption. All these institutions are not doing well, which makes it the same when it comes to the impact of Islamicity on economic growth. If OIC member countries succeed in improving these institutions, then it would become possible for these economies to grow and bring more prosperity to the nations. For quantile regression, results in Table 4 show no impact of Islamicity on highest-income and lowest-income countries at the first 25th quantile (high-income countries). This result implies that being more Islamic adds no value to the richest and poorest countries. Similarly, Table 5 shows that in the case of middle-income percentiles, the 50th quantile, Islamicity has no effect on high- and low-income countries. Meanwhile, in Table 6, the results depict that at the 75th quantile, Islamicity has no impact on economic growth regardless of whether the country belongs to low high, middle, or OIC nations. (1) (2) (3) (4) (5) Overall High Middle Low OIC Rank −0.0223*** −0.0377** −0.0260*** −0.03 95** −0.03 44*** (−4.33) (−2.66) (−3.30) (−3.1 5) (−3.3 4) Lge −2.012*** −3.498*** −2.020*** −0.75 9 −1.16 0 (−7.36) (−5.39) (−4.74) (−1.5 9) (−1.4 9) Lfdi 0.371*** 0.373* 0.248 0.208 0.631* (3.38) (2.20) (1.38) (1.20) (2.45) pop 0.495*** 0.549** 0.295* 0.516 0.462* (3.76) (3.01) (2.08) (0.52) (2.01) lgcf 1.791*** 3.199*** 1.957*** 1.281* * 0.978 44 Does Islamicity Affect … (6.61) (5.00) (4.52) (2.58) (1.18) edu −0.0271*** 0.00542 −0.0400*** 0.020 0 −0.02 36 (−3.76) (0.39) (−3.83) (0.84) (−1.9 4) dc −0.0196*** −0.0213*** −0.0105 −0.06 24** −0.04 58*** (−6.08) (−4.40) (−1.85) (−2.6 1) (−4.3 5) cons 4.326** 2.715 4.536* −6.76 1 0.260 (2.61) (0.88) (2.12) (−0.7 4) (0.05) N 693 220 353 120 178 Table 3: Impact on Islamicity on economic growth (using GMM) Values in parentheses are t values and significance level of p value is 1% i.e. ***, 5% i.e. ** and 1% i.e. *** (1) (2) (3) (4) (5) Overall High Middle Low OIC Rank −0.0163** −0.0288 −0.0243** −0.0 346** −0.0299 ** (−3.16) (−1.59) (−3.14) (−3.0 4) (−3.02) Lge −1.993*** −2.920*** −1.781*** −0.4 51 −0.714 (−7.94) (−5.03) (−4.73) (−1.1 3) (−1.29) Lfdi 0.267* 0.439** −0.113 0.23 0.561* Hamdard Islamicus Vol. XLV, No. 3 45 9 (2.46) (2.86) (−0.51) (1.37 ) (2.60) Pop 0.190* 0.333 0.0943 −0.5 63 −0.0440 (1.99) (1.84) (0.74) (−1.1 3) (−0.38) Lgcf 1.903*** 2.751*** 2.042*** 1.12 8*** 0.840 (7.85) (4.23) (5.56) (3.38 ) (1.41) Edu −0.0392*** −0.0182 −0.0558*** 0.00 202 −0.0519 *** (−5.51) (−1.19) (−4.66) (0.06 ) (−3.98) Dc −0.0131*** −0.0201*** −0.00066 5 −0.0 757** * −0.0228 ** (−4.15) (−4.11) (−0.17) (−3.5 1) (−3.18) Cons 2.676 −1.090 4.261 −8.7 36 −4.535 (1.65) (−0.24) (1.91) (−1.5 7) (−1.26) N 693 220 353 120 178 Table 4: Impact on Islamicity on economic growth (using 25 th quantile) Values in parentheses are t values and significance level of p value is 1% i.e. ***, 5% i.e. ** and 1% i.e. *** (1) (2) (3) (4) (5) 46 Does Islamicity Affect … Overall High Middle Low OIC Ran k −0.0140* ** −0.0097 9 −0.0167* * −0.0209 −0.0227** (−3.77) (−0.65) (−2.81) (−1.44) (−2.67) Lge −1.853** * −1.828** * −2.056** * −0.640 −1.202** (−9.43) (−3.55) (−7.59) (−1.40) (−3.07) Lfdi 0.248*** 0.202* 0.207 0.191 0.494* (3.52) (2.00) (1.51) (0.95) (2.29) Pop 0.294** 0.232 0.277 0.309 0.0586 (3.12) (1.59) (1.81) (0.67) (0.30) Lgcf 1.666*** 1.621** 1.922*** 0.928* 1.054* (8.57) (2.77) (7.29) (2.26) (2.48) Edu −0.0314* ** −0.0024 9 −0.0209* 0.0108 −0.0362*** (−5.16) (−0.27) (−2.50) (0.49) (−3.63) Dc −0.0129* ** −0.0096 2** −0.0075 1 −0.0514* * −0.0334*** (−5.66) (−3.03) (−1.37) (−2.92) (−3.49) _co ns 6.007*** 3.795 4.597** −2.368 2.421 (4.98) (1.19) (2.86) (−0.45) (0.78) N 693 220 353 120 178 Table 5: Impact on Islamicity on economic growth (50 th quantile) Values in parentheses are t values and significance level of p value is 1% i.e. ***, 5% i.e. ** and 1% i.e. *** Hamdard Islamicus Vol. XLV, No. 3 47 (1) (2) (3) (4) (5) Overall High Middle Low OIC Rank −0.0075 6 −0.0100 −0.0147 −0.0228 −0.0050 9 (−1.46) (−0.73) (−1.60) (−1.97) (−0.40) Lge −1.937** * −2.257** * −2.310** * −1.144** * −1.969** (−10.90) (−4.42) (−4.39) (−5.06) (−3.28) Lfdi 0.277*** 0.176 0.266 0.320 0.496* (3.78) (1.60) (1.43) (1.97) (2.17) Pop 0.553*** 0.611** 0.255 0.777 0.879** (5.03) (3.27) (1.65) (1.88) (2.99) Lgcf 1.659*** 2.017*** 2.285*** 1.082*** 1.372* (9.28) (3.67) (4.30) (5.39) (2.25) Edu −0.0139 −0.0107 −0.0231 0.0276 0.00359 (−1.68) (−1.31) (−1.81) (1.12) (0.23) Dc −0.0145* ** −0.0124* ** −0.0106* * −0.0541* * −0.0197 (−7.62) (−4.13) (−2.77) (−3.15) (−1.74) _con s 6.636*** 7.327** 2.162 2.038 7.214* (5.00) (3.15) (0.89) (0.37) (2.14) N 693 220 353 120 178 Table 6: Impact on Islamicity on economic growth (75 th quantile) 48 Does Islamicity Affect … Values in parentheses are t values and significance level of p value is 1% i.e. ***, 5% i.e. ** and 1% i.e. *** 5. Conclusion Studies on the impact of Islamicity on economies, especially OIC member countries, are scant. Using advanced panel techniques, namely, GMM and panel quantile regression techniques, this present study finds a weak association between Islamicity and economic growth across OIC and non-OIC nations at the highest 75th quantile. In other words, at the highest 75th quantile, the impact of Islamicity becomes weaker as the country's economy grows, regardless of whether it is an OIC member nation or a non-OIC member nation. Our study corroborates the findings of previous studies that religious practices have an unfavorable implication on economic outcomes.45 The factors responsible for holding these countries back must be gauged from the economic perspective. Moreover, the same set of components revealed by other studies may exist, which clarifies economic slowness in numerous different economies. It is crucial to perform valid economic assessments in Islamic nations. Inline, it is important to popularize the initiative, track changes in each of the indices' dimensions, and publish an annual report based on the most recent indices on the state of Muslim economies. The annual report should highlight areas where there has been improvement and where there has been a deficiency. Identifying this set of factors requires further investigation. The policy implication of this study is the urgent call to bring multiple economic reforms that shall encourage an environment for economic growth in the OIC economies. 6. Appendix Variable Definition Source Dependent variable GDP Annual percentage growth rate of GDP WDI Islamicity index Rank 0 to 1, close to 1 indicate more while close to 0 shows less Islamicity http://islamicity- index.org Human and physical capital variables Hamdard Islamicus Vol. XLV, No. 3 49 EDU Gross secondary enrollment rate WDI POP Population growth rate WDI GCF Gross fixed capital formation WDI Macroeconomic variables GE General government final consumption expenditure WDI FDI Foreign direct investment WDI DC Domestic Credit to Private credit as a share of GDP WDI Table A1: Data sources, definitions, and descriptive statistics Notes and References 1 Markus Puledko and Neeraj K. Bhargava, “The Influence of Islam on the Economic Development of Muslim Countries,” İktisat İşletme ve Finans 20, no. 235 (2005): 16–28, https://doi.org/10.3848/iif.2005.235.2268. 2 Max Weber, The Protestant Ethic and the Spirit of Capitalism, trans. Stephen Kalberg, 3rd ed. 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