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This chapter examines the relationship between the gender gap in labor force participation, intensive growth and economic welfare in Sub-Saharan African (SSA) from 1981 to 2020 under the framework of the classical production function. The generalized method of moment (GMM) technique was employed in analyzing the data. The empirical result showed a negative and significant effect of the gender gap in labor force participation on intensive growth. It was also found that the gender gap in labor force participation had a negative and insignificant effect on economic welfare in SSA. Other findings showed that male labor force participation had a positive and insignificant effect on both intensive growth and economic welfare, while female labor force participation had a negative and significant effect on intensive growth and a negative and insignificant effect on economic welfare. Trade openness had a positive and significant effect on both intensive growth and economic welfare. Based on the findings, narrowing the gender gap in labor force participation has to be given more considerable attention in the SSA region.

This paper aims to make an attempt to identify labour intensity of organized manufacturing industries in India using the Annual Survey of Industry (ASI) data at three-digit level. It estimates total factor productivity growth (TFPG) and technical efficiency for both labour intensive and all manufacturing industries during the pre- and post-reforms periods.

The study uses three approaches to estimate TFPG. They are growth accounting (GA) (non-parametric), production function with correction for endogeneity – Levinsohn-Petrin (LP) (semi-parametric) and stochastic production frontier (SPF) analysis (parametric). The study uses ASI data published by Central Statistical Organization, Government of India for the period 1980-1981 to 2007-2008 for the analysis.

The study finds that the rate of decline of the labour intensity is more pronounced in the case of labour-intensive industries than all the manufacturing industries. The results of GA method suggest that the TFPG of labour-intensive industries has declined continuously from the pre-reforms period to the post-reforms period. Similarly, LP method indicates a continuous decline in TFPG of labour-intensive manufacturing industries during the post-reforms period. Interestingly, the results of SPF method also corroborate the findings of earlier two methods at the aggregate level but vary at a certain degree at the disaggregated level.

This paper is useful in the context of India considering the importance given to labour-intensive industries by the present government in terms of reviving the sector and improving the productivity and output.

Several studies have shown that the mechanism of labour-intensive construction (LIC) projects can mitigate high unemployment and create skilled development, especially in developing nations. The guidelines and practices for implementation may have faced some encumbrances in some countries. Whether the current guidelines and practices for municipal infrastructure support agent (MISA) to execute LIC projects face hindrances in South Africa has yet to receive in-depth studies. Thus, this study attempts to proffer policy solutions to improve the proposed revised guidelines and practices for MISA in LIC project execution in South Africa.

The study's objectives were accomplished via a combination of 16 virtual interviews of built environment professionals and government officials involved in LIC project execution in South Africa and supported by the analysed documents. A thematic approach was used to analyse the data and presented two main themes.

Findings show lax enforcement of discretionary funds, lax institutional capacity and inadequate individual skills, among others, as the gaps in existing South Africa's LIC guidelines and practices. Also, policy solutions to address the gaps were proffered.

The suggested feasible policies will improve the proposed revised guidelines and practices for MISA in LIC project execution in South Africa. This guide will promote the development of individual skills, institutional capacities and increase employment across South Africa.

This study promotes the use of LIC to create employment and contribute to proffering measures that will improve the proposed revised third edition of the guidelines and practices for MISA to execute LIC.

This study aims to analyze the structure and trend in employment in the Indian economy between 1980-8081 and 2015-2016.

Use of India KLEMS data set. Estimate growth rate of employment and discuss employment prospects using “Point” employment elasticity.

Whilst India’s GDP growth rate has been quite impressive since the reforms of 1991, the rate of employment growth, especially in the recent period of 2003-2015, has been quite slow (1 per cent) with low employment elasticity (0.1). The pattern of employment growth has also been imbalanced with slow rate of employment growth in manufacturing and rapid growth rate in the construction sector. India now also has low labour force participation rate and a large share of informal employment in the economy.

The limitation is the lack of reliable data on employment for the recent period.

With overall low employment elasticity, India would have to explore sectors where more employment opportunities could be created.

India has to create not only more jobs but also “good” jobs.

The India KLEMS data provide a time series for employment, which has been used in this paper to find “Point” elasticity instead of arc elasticity of employment and is an improvement over existing employment elasticity estimates.

The purpose of this paper is to understand how the unfolding diet transformation in East and Southern Africa is likely to influence the evolution of employment within its agrifood system (AFS) and between that system and the rest of the economy. To briefly consider implications for education and skill acquisition.

The authors link changing diets to employment structure. The authors then use alternative projections of diet change over 15- and 30-year intervals to develop scenarios on changes in employment structure.

As long as incomes in ESA continue to rise at levels near those of the past decade, the transformation of their economies is likely to advance dramatically. Key features will be: sharp decline in the share of the workforce engaged in farming even as absolute numbers rise modestly, sharp increase in the share engaged in non-farm segments of the AFS, and an even sharper increase in the share engaged outside the AFS. Within the AFS, food preparation away from home is likely to grow most rapidly, followed by food manufacturing, and finally by marketing, transport, and other AFS services. Resource booms in Mozambique and (potentially) Tanzania are the main factor that may change this pattern.

Clarifying policy implications requires renewed research given the rapid changes in Africa over the past 15 years.

This is the first paper to explicitly link changing diets to changing employment within the AFS.

The purpose of this study is to explore the impact of environmental pollution and industrial structure upgrading on environmental pollution in different stages based on the temporal and spatial heterogeneity of economic development level and industrial structure upgrading level in eastern, central and western regions of China and discuss whether there is adjustment effect and threshold effect in the process of economic growth affecting environmental pollution, and finally realizes sustainable economic development.

Based on panel data from 30 provincial-level administrative regions of China (excluding Tibet and Hong Kong, Macao and Taiwan) from 2000 to 2019, this paper uses the environmental Kuznets curve, regulating effect model and panel threshold model to analyze the impact of economic growth and industrial structure upgrading on environmental pollution.

The results present that the uneven distribution of natural resources leads to different levels of economic development and industrial structure upgrading in eastern and western regions, and its impact on environmental pollution is also different. Economic growth and industrial structure upgrading have a positive effect on environmental pollution, and the relationship between economic growth and environmental pollution is inverted U-shaped. At present, the eastern, central and western regions of China are at the right end of the inverted U-shaped relationship. In general, industrial structure upgrading in eastern, central and western regions has a significant inhibitory effect on environmental pollution. Industrial structure upgrading has a negative moderating effect on the relationship between economic growth and environmental pollution, and the regulating effect is most significant in the central region, followed by the eastern region, and not significant in the western region. The results of panel threshold model show that the industrial structure upgrading can slow down the positive impact of economic growth on environmental pollution and strengthen the negative moderating effect of industrial structure upgrading on economic growth and environmental pollution.

The innovation of this study is to bring economic growth, industrial structure upgrading and environmental pollution into a unified analytical framework, analyze the impact of economic development and industrial structure upgrading levels in different periods on environmental pollution, and select industrial structure upgrading as the moderating variable and threshold variable. It provides a thought for the influence mechanism of different levels of industrial structure upgrading on economic growth and environmental pollution. Based on the panel data in China, this study emphasizes the concept of sustainable development, adheres to green development and proposes relevant policies to improve environmental pollution. And this paper proposes relevant policies to improve environmental pollution from the perspective of transforming economic growth mode and optimizing industrial structure in China, which also has reference significance for developing countries to realize sustainable economic development.

This study aims to explain the integration of innovation and climate with the economic growth Green Productivity (GP) concept. This is drawn from the integration of two important developmental strategies: productivity improvement and environmental protection. Productivity provides the framework for continuous improvement, while environmental protection provides the foundation for sustainable development. Therefore, GP is a strategy for enhancing productivity and environmental performance for overall socio-economic development.

Three variations of frameworks and econometric model were developed to measure green total factor productivity, green labour productivity and green capital productivity, and their contributions to green productivity and sustainable development; these were based on extensive and intensive growth theories.

The sustainability of higher economic growth will likely continue to be productivity driven. This will be through the enhancement of total factor productivity (TFP) as technological progress in nations that combined the three dimensions of sustainable development (economic development, environmental protection and social sustainable development via human capital development). Such an enhancement needs to emphasise the quality of the workforce, demand intensity, economic restructuring, capital structure, technical progress and environmental standards. It should be recalled that green productivity through green TFP demonstrates the sustainable development concept of progressing technologically. It will ensure the rights of the future, as well as current, generations for them to enjoy a better life.

The study fills the gaps in growth theories by developing three variations of frameworks and econometric models, and internalising pollutants emissions as private and unpriced inputs in the three models. Further, the green capital productivity model is the sole contributing model developed in this research; it has not been thought about in any previous studies. This study highlighted the green productivity that is ignored by the studies that have been awarded the Nobel Prize in economic sciences in 2018.

This paper aims to study the economic significance of using a blended business and knowledge strategy through the lens of conventional financial management before and after the implementation of KM initiatives in a knowledge‐intensive, high‐growth firm that had gone through business diversification through organic developments as well as mergers and acquisitions for over a decade.

The economic value added (EVA) method is proposed as a measure of the effective usage of capital funding in the firm before and after its KM program. The extent of the economic impact due to the contributions of various KM strategies was analyzed using standard financial management reporting. This enabled the derivation of follow‐on KM initiatives that were consistent with the target objectives.

The EVA method was found to be valid and credible in determining the net impact of various KM initiatives. This was in a form that was comprehensible to top management and KM decision‐makers.

Knowledge management as a strategic imperative has gained significance over the past decade for its ability to handle the complexity of information to further create, transfer and reuse intellectual capital. More importantly, KM is seen as the key business enabler across different enterprises for its ability to enhance competitiveness and shareholder value. The EVA method used in this paper has allowed the valuation of KM initiatives.

The emergence of KM as a blended business strategy has hence proved to be vital for the sustainability of the knowledge‐driven business model that looks beyond the physical and financial into intellectual and social capital.

The paper presents a longitudinal case study of a fairly large East Asian conglomerate.

The purpose of this paper is to explain bio-economy dimensions as a new stream of knowledge-based economy that exists in the new era of the information and communications technology.

Bio-economy refers to the production of a wide range of goods and services from plant, animal and forest-based material. It is more than just grain-based bio-fuels or bio-diesel as extensively highlighted in Latin America. It is related to biotechnology and other bio-activities based on knowledge generated from the bio-activities and extension of the knowledge-based economy.

The main concern of developing bio-economy is the environmental damage caused through the undesirable output produced by the bio-economy activities. Bio-economy is centred on research and development (R&D) collaborations across different sectors, including the public and private sectors, in order to breakthrough new products through invention and innovation.

For bio-economy to be realised and put into practice, it should have a well-developed regulatory framework as a platform in order to run and work smoothly.