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In large parts of the world, income inequality has been rising in recent decades. Other regions have experienced declining trends in income inequality. This raises the question of which mechanisms underlie contrasting observed trends in income inequality around the globe. To address this research question in an empirical analysis at the aggregate level, we examine a global sample of 73 countries between 1981 and 2010, studying a broad set of drivers to investigate their interaction and influence on income inequality. Within this broad approach, we are interested in the heterogeneity of income inequality determinants across world regions and along the income distribution. Our findings indicate the existence of a small set of systematic drivers across the global sample of countries. Declining labour income shares and increasing imports from high-income countries significantly contribute to increasing income inequality, while taxation and imports from low-income countries exert countervailing effects. Our study reveals the region-specific impacts of technological change, financial globalisation, domestic financial deepening and public social spending. Most importantly, we do not find systematic evidence of education’s equalising effect across high- and low-income countries. Our results are largely robust to changing the underlying sources of income Ginis, but looking at different segments of income distribution reveals heterogeneous effects.

Purpose – The purpose of this research is to to determine the value of land erodibility in Krueng Seulimum watershed.

Design/Methodology/Approach – This research apply survey method and field measurement that begins with making land unit map.

Findings – The results showed that Krueng Seulimum watershed consisted of 22 units of land (LU). The value of land erodibility in secondary forest land use is low, i.e., 0.13–0.19 (LU 13 and 22), the value of land erodibility in grazing lands land use is medium, i.e., 0.31–0.32 (LU 9 and 11 ), the value of land erodibility in scrub lands land use is rather high, i.e., 0.33–0.35 (LU 2, 6, 12, 15, and 19) and the value of land erodibility in dry land agriculture land use is medium – rather high, i.e., 0.28–0.35 (LU 3, 7, 10, and 16).

Research Limitations/Implications – The land use directions for scrub lands is for cocoa-based mixed crops, such as cocoa monoculture, cocoa + areca nut, and cocoa +banana.

Practical Implications – The use of dry land agriculture is maintained for land use coupled with agrotechnology action that is guludan terrace plus mulsa application.

Originality/Value – Most of the soil in the Krueng Seulimum watershed has very low soil fertility level that affects nutrient availability plant. These characteristics should be considered in the direction of land use in the Krueng Seulimum watershed.

Investments in gender training for agricultural researchers have not attained expected outcomes, bringing into question the efficacy of training approaches used. New approaches for transformative gender training need to draw on lessons learned from previous courses. This chapter analyses short gender training courses identified using a scoping methodology. Selected courses offered between 2005 and 2015 for scientists in Eastern Africa were critiqued against a theoretical framework for transformative gender training. Also shared is a training model (Gender Responsive Researchers Equipped for Agricultural Transformation course) that addresses gaps in previous courses. The chapter identifies critical lessons for facilitating transformative gender training for non-gender research practitioners which include the need for inter-disciplinary grounding in the disciplines of gender and agriculture, having a phased course delivery and the value of continuous technical support during and after training. Gender training models should also allow for the deepening of gender awareness and consciousness by providing safe spaces for personal reflections on the root causes of gender inequalities and for the questioning of the internalized norms and biases.

Internet + and Electronic Business in China is a comprehensive resource that provides insight and analysis into E-commerce in China and how it has revolutionized and continues to revolutionize business and society. Split into four distinct sections, the book first lays out the theoretical foundations and fundamental concepts of E-Business before moving on to look at internet+ innovation models and their applications in different industries such as agriculture, finance and commerce. The book then provides a comprehensive analysis of E-business platforms and their applications in China before finishing with four comprehensive case studies of major E-business projects, providing readers with successful examples of implementing E-Business entrepreneurship projects.

Internet + and Electronic Business in China is a comprehensive resource that provides insights and analysis into how E-commerce has revolutionized and continues to revolutionize business and society in China.

International trade and production have been increasingly organized around the configuration and evolution of global value chains (GVCs), even as the sustainable development goals (SDGs) have been established in an era of deepening globalization. The connection between these two processes raises some concerns around how economies, firms, and individuals can benefit from participation in the global economy. This chapter looks at the relationship between the relative positions of countries in high-tech GVCs and the impact on potential fulfillment of the SDGs. In this chapter, the authors make a first approach (descriptive analysis) to the relationship between the relative positions of countries in high-tech GVCs, possibilities for upgrading, and corresponding levels of inequality. The authors focus particularly on a set of indicators corresponding to Goal 1 (no poverty), Goal 5 (gender equality), Goal 9 (industry, innovation, and infrastructure), and Goal 10 (reduced inequalities). The findings reveal that the relationship between the position of a country in terms of forward and backward participations and the relative distance to fulfillment of the SDGs differs among distinct GVCs. While some patterns of income inequality reduction are observed in high-tech-related industries, gender inequality is not similarly affected. This confirms the relevance of building a two-dimensional framework that looks simultaneously at GVCs (i.e., the type of GVC and type of participation) as well as the distance from SDG achievement.