Social governance models of global value chains (GVCs) are criticized as being dominated by advanced economy multinational corporations (MNCs) and primarily focusing on civil society organizations (CSOs) from developed countries, marginalizing the local agency, knowledge, and needs of...

This study provides a comprehensive examination of the economic, structural, and sustainability dimensions of the coffee value chain in Region X (Northern Mindanao), with emphasis on the provinces of Bukidnon and Misamis Oriental two areas recognized as emerging centers for both Robusta and...

Global value chains (GVCs) are intricate international networks in which the production and distribution of goods and services across multiple economies and industries is coordinated. Their complexity introduces strategic dependencies when economies or industries rely heavily on a limited number...

This introduction grounds the middle-income (MI) trap by looking at the empirical realities of firms, sectors, national, and subnational institutions embedded in global value chains (GVCs). While MI-trap scholarship has shed light on macro-structural constraints, it often overlooks international...

Whether China can avoid the middle-income trap has been the subject of extensive research. Currently classified as an upper middle-income country, China increasingly exhibits similar characteristics as countries currently experiencing the middle-income trap. However, using evidence from China's...

In proposing industrial policies to promote development-enhancing upgrading, both the Middle-Income Trap (MIT) and Global Value Chain (GVC) literatures imply a "technocratic" approach that matches a given technical challenge to the right policy instrument. This paper suggests that, apart from...

Bridging together the Middle-Income Trap (MIT) literature with the Global Value Chains (GVCs) approach may provide a more fine-grained understanding of the middle-income (MI) countries' developmental dilemmas. While the former identifies the structural challenges these countries face, the latter...

The rapid evolution of artificial intelligence (AI) from expert systems and fuzzy logic to sophisticated technologies such as deep learning and big data analytics has transformed modern management practices. This study explores how AI-driven management practices can effectively bridge...