Inter-industrial carbon linkage analysis tells us about the transfer of CO₂ amongst sectors of a nation. Hypothetical extraction model which removes a target sector and compares the difference between actual and theoretical economies is a popular model for linkage analysis. Regardless of mounting evidence favoring simultaneous application of both Ghosh supply and Leontief demand for forward and backward linkages. Related studies have mostly calculated both upstream and downstream carbon linkages using only demand-driven Leontief inverse model. This research estimates inter-sectoral carbon linkages of Turkey from both demand and supply. Electricity, gas, and water had the highest total demand and supply carbon linkage. Extraction of backward and forward linkages of mixed services have the highest demand pull and supply push impact on rest of the blocks. It also had the highest amount of net pulled and pushed emissions. Production block had the highest intra-sectoral purchase emissions while electricity, gas, and water had the highest internal sales emissions. Wind and Solar PV are the cleanest energy sources for Electricity, gas, and water supply. A carbon demand and supply based policy diversifies emission responsibility and encourages mitigation of a block's entire upstream, downstream and intra-sectoral carbon chain.

产业间碳链分析告诉我们有关CO ₂转移的信息在一个国家的各个部门之间。假设提取模型可以去除目标部门并比较实际经济和理论经济之间的差异，这是一种用于链接分析的流行模型。不管有越来越多的证据支持同时应用Ghosh供应和Leontief需求进行正向和反向链接。相关研究大多只使用需求驱动的Leontief逆模型来计算上游和下游的碳联系。这项研究从需求和供应两方面估算了土耳其的部门间碳联系。电力，天然气和水的总需求和供应碳联系最高。提取混合服务的后向和前向链接对其余区块的需求拉动和供应推动力影响最大。它也具有最高的净拉动和推动排放量。生产部门的部门内购买排放量最高，而电力，天然气和水的内部销售排放量最高。风能和太阳能光伏发电是用于电力，天然气和水供应的最清洁能源。基于碳供需的政策使排放责任多样化，并鼓励缓解该区块的整个上游，下游和部门内碳链。