Carbon emissions are one of the most critical environmental challenges in the world today, especially in developing countries like Bangladesh, where the limitations of infrastructure and energy demand innovative and affordable solutions. This paper explores how blockchain technology, known for its transparency, decentralization, and security, can be adapted to support carbon emission tracking in such contexts. This study takes a comparative approach by analyzing existing research on local and global blockchain networks in terms of energy efficiency, latency, cost, speed, and scalability. The novelty of this work lies in conducting a comprehensive comparative analysis of these blockchain models specifically from the perspective of a developing country like Bangladesh, which leads to the identification of a conceptual framework that combines Internet of Things (IoT) based data collection, local blockchain processing, and Reduced Instruction Set Computer - Fifth Generation (RISC-V) hardware to create a more energy-efficient and cost-effective system. Literature findings show that local blockchains often outperform global systems in resource-constrained environments, and RISC-V offers a more efficient and affordable alternative to x86 and Advanced RISC Machines (ARM) architectures. The conceptual framework identified through our comparative analysis provides a practical and scalable direction for developing sustainable carbon emission tracking systems in countries like Bangladesh. Future work will focus on the validation and implementation of this conceptual framework in real-world settings.