PERCEPTION MAPPING OF COASTAL COMMUNITIES OF BALOCHISTAN ON SOCIOECONOMIC ISSUES IN RELATION TO CPEC

Abstract

This research paper presents a study on the perception mapping of coastal communities in Baluchistan, converging on their socioeconomic issues associated with the China-Pakistan Economic Corridor (CPEC). The CPEC is a significant infrastructural project that aims to enhance connectivity between China's western region and Pakistan's Gwadar port, located in Baluchistan province. This connectivity will have certain impact in the region; specially the adjoining areas of Gwadar Port and the roads/ highways leading to Gwadar. This study focuses on understanding the perceptions of coastal communities towards the socioeconomic impact of CPEC, as it has the potential to bring both positive and negative changes to the region. The objective of this study is to understand the apprehensions and perceptions of the coastal communities in Balochistan regarding socio economic implications of the CPEC. To attain this objective, mixed methods approach has been adopted; incorporating both qualitative and quantitative data collection techniques. Semi-structured interviews, focus group discussions, and surveys have been conducted to gather primary data from the local residents, government officials, and other stakeholders. The findings reveal a diverse range of perceptions among the coastal communities regarding the socioeconomic issues related to CPEC. While some participants expressed hope and confidence about the potential economic benefits and improved infrastructure, while others raised concerns about environmental degradation, displacement, and inequitable distribution of resources. These findings have implications for policymakers, project developers, and community stakeholders, highlighting the need for inclusive development strategies, environmental safeguards, and transparent governance mechanisms to address the concerns and leverage the opportunities associated with CPEC. The analysis of this study also identifies key factors influencing t