Search results

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.

Since the end of the 1990s, the Algerian public authorities have implemented research and innovation policies in order to build a solid National Innovation System (NIS) and improve industrial and economic performance. Today, the NIS remains immature, which hinders the learning and innovation processes. Our objective here is to analyze under a broad vision the Algerian NIS by examining its various components, to evaluate the capacities of training and innovation, and to measure the production of the innovation and the economic performances. Our research question is the following: How could the Algerian public authorities build a solid NIS in order to improve economic performance? To answer this question, we use a research methodology that mobilizes three types of complementary indicators in order to analyze the processes of learning and innovation from a systemic and interactive perspective. We also use economic performance indicators in order to put the analysis into a broader perspective. At the end, we propose action policies in favor of the construction of a complete Algerian NIS to improve economic performance.

This chapter aims to discuss the challenges facing these countries building productive capacity for development. This chapter makes use of data published by international organizations as indicators for measuring the state of development in the Arab region. Several indicators are presented to compare Arab countries with other world regions. The use of data identifies some of the gaps that countries in the Arab region need to close to strengthen capacity building for development and fostering economic growth. The findings from the data presented reveal that the productive structure in most Arab countries remains weak to generate production linkages and provide incentives for investment in nonenergy sectors. The failure of the export-led growth model to diversify output and promote development in energy producing countries has increased the dependence of these countries on global trade. Fluctuations in commodity prices and uncertainty about global demand for energy have influenced the ability of the state to construct strategies for rapid transformation. Except for the energy sector, the productivity of nonoil sectors remains low reflecting inadequate incentives and ineffective entrepreneurial capabilities. The study examines the challenges for building productive capacity in the Arab world. It illustrates the failure of the led-export model and its inability to prompted economic diversification, especially in the Gulf countries. The study contributes to the literature on capacity building in the Arab world so that to encourage researchers and students of development conducting studies concerning the main development challenges facing these countries.

This paper surveys the literature on economic research in banking. Two streams of empirical research were reviewed. The first stream of empirical research focus on research examining the effect of bank behaviour on economic performance. The second stream of empirical research focus on research on the effect of economic events on bank behaviour and performance. We provide our views about what we have learned from this research and about what else we would like to know.

Ports and port cities play a pivotal role toward the sustainable development of coastal ecosystems. These ecosystems provide their natural capital by offering favorable locations for industry and accessibility to world markets. While port industrial activities have been reactive to pressure from stakeholders, in more recent years ports have adapted inclusive strategies and seek to align their strategic intentions with stakeholders. Around the world, port authorities are aligning their ambitions toward their contribution to the sustainable development goals (SDGs), such as the World Port Sustainability Program (WPSP) for port authorities and AIVP2030 for port cities. The aim of this chapter is to assess to what extent ports have contributed to the implementation of the SDGs. The analysis is based on a content analysis on a portfolio of 212 projects in which port authorities demonstrate leadership in sustainable development. The results indicate that the contributions of port and port city authorities are generally motivated to “do no harm.” Port authorities also have “do good” intentions for their ecosystems, which are mainly focused on reenforcing connections with communities and less to restore their impact on the biosphere. Furthermore, the findings show that linkages between WPSP projects with the SDGs are rather ambiguous. Directions are given toward a methodology for port authorities (PAs) to establish a stronger link between (monitoring) business strategies with the implementation of inclusive port development strategies to prevent using SDG reporting for greenwashing purposes.

Environmental degradation is a global concern that results from massive economic activities. Carbon dioxide (CO₂) emissions are one of the environmental degradation indicators. This study investigates the impact of population, oil consumption, international tourist arrival, and corruption on CO₂ emissions in ASEAN’s five developing countries of Malaysia, Indonesia, Thailand, Philippines, and Vietnam from 1998 to 2017. This study employed panel Fixed-effect (FE) regression to estimate the panel data generated by British Petroleum and World Bank. The result revealed that the population has a significant positive effect on CO₂ emissions. Furthermore, oil consumption has a significant positive effect on CO₂ emissions. Meanwhile, the effect of tourism and the corruption perception index (CPI) as a proxy of corruption on CO₂ emissions was positive but not significant. Authorities should construct such policies to reduce CO₂ emissions by applying low-carbon technologies, green mass transport, and creating less corrupt behavior.