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The purpose of this paper is to develop the theoretical linkage between culture and economic growth and empirically test the relationship by measuring culture and how it affects labor productivity.

This study uses a cross-section study of developing countries and regresses economic productivity growth on a set of control variables and cultural factors.

It is found that three cultural factors, economic attitudes, political attitudes, and attitudes towards the family, affect economic productivity growth.

Many economists ignore culture as a factor in economic growth, either because they discount the value of culture or because they have no simple way to quantify culture, resulting in the role of culture being under-researched. The study is the first to extensively examine the role of culture in productivity growth using large-scale data sources. The authors show that culture plays an important role in productivity gains across countries, contributing to the study of the effects of culture on economic development, and that culture can be empirically measured and linked to an activity that directly affects the economic growth – labor productivity.

The aim of this chapter is to determine the relationship between labor productivity and economic development. In this context, the annual data of Turkey on a range of 1970–2017 are included in the study period. On the other hand, these data are tested with the help of Toda Yamamoto causality analysis. Thus, it will be possible to determine whether there is a strong relationship between the two variables. According to the obtained results of the analysis, it is defined that there is a causal relationship from labor productivity to economic growth in Turkey. Based on these results, it can be said that labor productivity should rise in order to increase economic development in Turkey. For this purpose, educational programs in Turkey can be revised with the help of a detailed study. In this process, cooperation with companies to understand the needs in the market plays a key role. Additionally, regulations should also be prepared related to the salaries of the employees. If it can be possible to prevent employees from receiving wages below a certain amount by placing a minimum legal limit on salaries, it will be possible to increase the motivation of the employees. This situation has a positive and significant contribution to the labor productivity.

This chapter applies the five drivers of productivity framework to regional microdata for Egypt and extends it by introducing an index of industrial clusters as an explanatory factor of the productivity performance of local private sector firms. Applying structural equation models, the geographic concentration of sectoral economic activity is found to have a positive and statistically significant effect on labor productivity. The transmission mechanism is conjectured to be the positive spillovers that are created, which local firms can tap into. In contrast, a higher concentration of skilled workers in an industrial sector in a region is associated with lower levels of labor productivity – a finding that suggests there may be structural deficiencies in the allocation of skilled workers. Regional policy should focus on net investments in gross capital formation throughout the country, for which the national and regional governments should improve how public investments are managed and the institutional framework – including the rule of law, bureaucracy and red tape, conflict of interest, transparency, and governance – so that private investment (both local and foreign) may substantially increase.

Drawing on institutional theory and knowledge spillover, the study aims to examine whether there is a causality relationship between macroeconomic factors and research productivity.

The study uses fixed-effects (FE) panel regression analysis, utilizing 1,614 country–year observations and 541,732 citable publications between 1996 and 2017, to explore the relationship between macroeconomic factors, research and development (R&D) expenditure and research productivity in economics and finance.

The results highlight a two-way relationship between R&D expenditure and economic development and research productivity. However, research productivity has no relationship with foreign direct investment (FDI), trade and financial development. In terms of remaining macroeconomic factors, financial development, trade and FDI have insignificant associations with research productivity in both directions of causality. In line with institutional theory, the findings support the notion that economically more developed countries and countries dedicating greater R&D funds have more potential to support research activities. On the other hand, in line with knowledge spillover, the research output of nations contributes to the economic development and expansion of R&D budgets. The results are robust to alternative methodology, endogeneity concerns, additional control variables, alternative sampling and alternative research productivity proxy.

The study suggests practical implications for nations to formulate macro-policies and a better research environment for academicians and to establish links between academic research and macroeconomic factors.

First, as there is limited research focusing on the bidirectional causality between the macroeconomic environment and academic research activity, the study adds to the understanding of the causality relationship between these two constructs. Second, it examines the bidirectional relationship between macroeconomic factors and research output at a global scale, while prior studies mostly focus on a single country, or a certain region or continent. Further, it is one of the few attempts particularly focusing on economics and finance research's bidirectional relation with the macroeconomic environment.

This study aims to use university patent and regional economic data to investigate the current and future impact of university innovation, measured using multiple variables, on real economic productivity.

Using university patent and regional economic data, regression models are built to determine the impact of university innovation on current and future regional economic performance.

The findings demonstrate that university innovation generates sustained impact on economic performance, but by itself, is insufficient in driving economic performance; and different measures of university innovation have different degrees of impact. University innovation makes up a small, albeit significant, proportion of the drivers of economic performance.

There are four implications. First, developing countries can leverage university–industry collaborations for economic growth. Second, innovation management must encourage continuous university innovation for sustainable economic productivity. Third, Science, Technology, Engineering and Mathematics (STEM) and non-STEM innovation warrant attention. Fourth, successful innovation policies should be tailored to their unique societal contexts.

Although innovation is a driver of economic performance, there is a lack of studies that focus specifically on universities, operationalize performance using gross domestic product measures and take into account impact lags by exploring universities’ current and future impacts.

The aim of this paper is to disentangle the contemporaneous and non-contemporaneous relationship between regional business cycles and manufacturing productivity in a developing country, namely Colombia.

The methodology is quantitative. To deal with the problems of endogeneity in the production function and with the law motion of productivity (the Markov process), the authors obtain Total Factor Productivity (TFP) through the Wooldridge’s two equations system that can be jointly estimated under the generalized method of moments framework (GMM). Secondly, to avoid bias we estimate regional business cycles through the Kalman filter. Subsequently, we implement an instrumental variables/generalized method of moments regression (IV/GMM) to capture the contemporaneous and endogenous TFP–GDP cycles’ linkage at the regional level. Lastly, to deal with the non-contemporaneous link, the authors estimate a vector autoregressive model with exogenous variables (VARX) for each region. We also present the corresponding impulse–response functions.

The authors’ general results suggest a remarkable causality, both contemporary and non-contemporary, from productivity to GDP (but not vice versa) in the most developed regions of the country. This implied productivity could influence in the economic growth of regions in short and long runs. These results are different than those expected by economic theory and should be considered by local economic policy makers.

The authors consider that a more detailed analysis should be carried out at the level of each sector within the manufacturing industry to further clarify these findings.

The policy should be oriented to obtaining cutting-edge technologies through subsidies, and also should facilitate the access to financial capital and the investment in R&D laboratories. On the other hand, the link with international trade also must be reinforced because the importing of intermediate inputs and exporting of output allow the firms to obtain embodied technologies, also to incur on learning by exporting and importing processes and finally to gain experience and competitiveness in foreign markets.

The causality in the region that provides more than 50% of economic activity within the country (Third region) is only in one directional, from TFP towards gross domestic product (GDP) and not vice versa. As the influence from GDP towards TFP is minimal in the remaining regions, the manufacturing productivity influences both short and long run regional economic growth in Colombia. This implies that economic policy at the level of macro-region must be modified; the government should give additional support to the manufacturing sector, especially in developed regions and for the small and medium-sized enterprises (SMEs) (wich represent 92% of manufacturing firms) to increase economic growth in the future.

The authors’ contribution is threefold. First, they pay special attention to the contemporaneous cyclical relationship (i.e. pro-cyclical, counter-cyclical or acyclic) and the non-contemporaneous causality with productivity. Second, they estimate productivity with the GMM two equation system considering an endogenous Markov process. Third, to the best of their knowledge, at least in the case of Latin America, there are no studies in this direction combining these statistic methods, including that of Colombia.

Digitalisation has become closely related to various economic sectors in terms of economic impact and discovery of new technologies. In this regard, this study aims to examine the relationship between the digital economy, as measured by four proxies (infrastructure, empowerment of society, technological economic growth and digitalisation development), and the productivity and monetary system of Oman from 1985 to 2019.

The autoregressive distributed lag methodology and diagnostic tests were used to increase the robustness of findings.

The analysis showed significant positive long-run relationships between infrastructure (measured as the number of fixed telephone subscriptions), technological economic growth (measured as medium- and high-tech exports as a percentage of manufactured exports) and the monetary system. There was also a significant negative short-run relationship between digitalisation development, measured as the number of individuals (percentage of the population) using the internet, and the monetary system. Furthermore, there were significant positive short- and long-run relationships between digitalisation development and productivity. Only short-run relationships were identified between empowerment of society, measured as the number of mobile cellular subscriptions, and productivity.

The conclusions support the paradigm of diffusion of innovation theory, which aims to understand the use of modern technologies to obtain the maximum economic benefit, and show both the dark and bright sides of technology. Furthermore, the effect of the digitalisation economy paradigm on productivity should be determined by increasing logistical services. This will support the growth of foreign and domestic investments and promote cooperation between the public and private sectors, thereby achieving digitalisation in Oman and enabling reflection on the country’s monetary policy development and economic growth.

Drawing on the combined theoretical perspectives offered by the sustainable supply chain management (SSCM) practices view and the resource-based view (RBV), this study aims to examine whether pursuit of environmental, social and economic sustainability measures of SSCM practices drive competitive advantage (CA) among fashion-apparel manufacturing organizations in an emerging economy. Furthermore, the study investigates whether the above relationships are mediated by productivity.

Based on a theoretically supported conceptual framework, a set of hypotheses are tested by applying partial least squares structural equation modeling on a sample of 345 export-oriented fashion-apparel manufacturing companies in Bangladesh. SmartPLS (v.3.2) is applied to analyze the path model through bootstrapping procedure.

The findings suggest that the direct relationship between social sustainability dimension of SSCM practices along and CA is positive and significant. While the direct relationships between environmental sustainability and CA, and economic sustainability and CA, were found to be non-significant. However, when productivity was applied as a mediator, all the paths were significant.

The study contributes to the strategic management literature by presenting a combined theoretical perspective proposing the idea that sustainable supply chain practices can influence both productivity and CA, where productivity is a pertinent mediator.

The study presents evidence for ready-made garments manufacturers in emerging economies on how compliance with environmental, social and economic sustainability measures in the supply chain of apparel manufacturers leads to gains in CA for the firms. Additionally, the study shows that such measures must also have a net positive impact on productivity to be able to influence CA significantly.

This paper appears to be among the first study that presents a framework based on a combined view of SSCM practices and RBV to empirically investigate the role of productivity as a mediator in the relationships between the sustainability dimensions of SSCM practices and CA in apparel manufacturing.

The purpose of this paper is to measure the factors determining the productivity development in the Asia Pacific countries such as Malaysia, Indonesia, Singapore, Philippines, Thailand, China, Japan, Korea, India, Australia and New Zealand.

The extensive growth theory that is expressed as the decomposition of the contribution of changes in employment, physical capital, foreign direct investment (FDI), human capital (HC), telecommunications investment and total factor productivity (TFP) growth on the selected Asia-Pacific countries’ output growth is used in this study. In this respect, an annual time series data over the period 1970-2012 for the aforementioned variables are employed.

The study found that the FDI spillover effects through the TFP are considered as productivity-driven economic growth in which the FDI spillover effects have significant effect on the productivity growth of the majority of these countries. It should be noted that most of these countries showed technological progress through the FDI spillover effects that is translated into a form of technology transfer and HC skills development.

This study empirically compared the FDI spillover effects on sustainable productivity growth of the most growing countries in the Asia Pacific region by using modified extensive growth theory that closed the gaps in the past studies and addressed the issues of technology transfer, HC development and sustainable productivity growth brought by the technical progress in these countries through the FDI spillover effects on productivity growth.

There is extensive literature on the effect of military expenditure on economic growth. However, there is also a wide gap in the literature on the relationship between productivity and innovation, which is considered the driving force of economic growth and military expenditures. To this end, this study examines the effect of military expenditures on economic growth, innovation and labor productivity for the period 1995–2019 in most militarized countries.

The tests used in the study's empirical analysis are techniques that take into account cross-sectional dependence and heterogeneity. The stationarity of the variables was tested with the Pesaran’s (2007) unit root test. Then, empirical findings were revealed based on the analysis through Westerlund’s (2008) cointegration test and Emirmahmutoglu and Kose’s (2011) panel causality test.

According to the empirical results, there is a long-run relationship, in other words, a cointegration between military expenditures and productivity, innovation and economic growth. Additionally, there are causality relationships between military expenditures and productivity, innovation and economic growth.

These results support the arguments of military Keynesianism and the Benoit hypothesis.

Despite the widespread theoretical debate, no empirical study tests the effect of military expenditure on productivity and innovation to the author's best knowledge. Hence, this study aims to fill this gap in the literature. Moreover, the fact that the econometric method used is based on second generation tests and the timeliness of the period range makes the study's findings more significant.