Work

Servicification of GVCs through deep service provisions: Uncovering new insights from structural gravity and machine learning

Year: 2024

Type: article

Abstract: In recent decades, there has been a notable increase in linkages of services in decoupling global value chains (GVCs) and a surge in regulatory mechanisms embedded in service provisions in trade agreements. Existing literature tried to empirically link the impact of such service provisions on GVC‐related services, but none focused on identifying relevant service provisions. This study is a novel attempt in this direction using a machine learning algorithm augmented in gravity modelling. Building on the identified service provisions, the study quantifies their impact on GVC‐related services conditioned on the countries' income levels. The study also conducts the general equilibrium analysis by simulating a scenario incorporating identified service provisions in the India‐ASEAN trade agreement. The analysis finds that few service provisions exist that enhance the share of foreign service inputs in manufacturing exports of the countries involved in GVC‐related service participation. Moreover, the impact is heterogeneous regarding benefits to the developing countries as a destination of service‐value added. Finally, the study shows that introducing selected service provisions in existing trade agreements can potentially increase welfare and service trade.

Source: World Economy

DOI: 10.1111/twec.13625

Authors: Sharadendu Sharma, Rahul Arora, Pralok Gupta

Institutions: Birla Institute of Technology and Science, Pilani, Indian Institute of Foreign Trade

Language: English

Topic: Global trade and economics

Subfield: General Economics, Econometrics and Finance

Field: Economics, Econometrics and Finance

Domain: Social Sciences

SDGs: Industry, innovation and infrastructure, Decent work and economic growth

Open Access status: hybrid

Estimated APC paid: $3,400