This study aims to assign efficiency score and then ranking the Indian companies known for best practices to control carbon-emission in the environment. It is destined to benchmark one company for best performance on the basis of selected alternatives among its peer group companies.,The present study has used a hybrid model by applying data envelopment analysis (DEA)-technique for order performance by similarity to ideal solution (TOPSIS) to measure the efficiency and ranking of various decision units on the basis of specified variables.,The findings of DEA have given the best alternative or best decision-making unit (DMU) among the set of 25 DMUs considered for empirical testing. The DEA technique is used with TOPSIS, which is another popular multi-criteria decision model. The integrated DEA-TOPSIS model has helped to compute the efficiency score of all 25 DMUs of study and also provide a unique rank to each of the efficient unit identified with the help of DEA technique.,The findings of the study have provided Benchmark Company amongst the companies following best practices for saving energy and having best operating profits too. This benchmark business unit can be studied extensively by peer group companies to compare various parameters affecting their efficiency and profits both.,The findings of the study will promote the socially responsible practices by corporate citizens and adopt the practices to reduce their carbon footprints. It will also suggest to socially responsible investors to select the benchmark and most efficient companies for investment purpose.,The study is original in terms of measuring efficiency and ranking of companies known for best practices for controlling their carbon footprints and suggesting a benchmark company to its peer group. Also, the integrated approach of using DEA-TOPSIS for such type of studies also makes it distinctive from earlier work done in the related field.

中文翻译：

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使用DEA-TOPSIS的印度可持续发展指数效率和排名

这项研究旨在分配效率得分，然后对以最佳实践闻名的印度公司进行排名，以控制环境中的碳排放。它旨在根据同行企业中选择的替代方案对一家公司的最佳绩效进行基准测试。本研究采用了一种混合模型，通过将数据包络分析（DEA）技术应用于与理想解决方案相似的订单绩效（在指定的变量的基础上，对各种决策单元的效率和排名进行测量。DEA的发现给出了在考虑进行经验测试的25个DMU中，最好的替代或最佳决策单元（DMU）。DEA技术与TOPSIS一起使用，TOPSIS是另一种流行的多标准决策模型。集成的DEA-TOPSIS模型帮助计算了所有25个DMU研究的效率得分，并且为借助DEA技术确定的每个有效单位提供了唯一的排名。研究结果为Benchmark Company奠定了基础。这些公司还遵循最佳实践，以节省能源并获得最佳运营利润。该基准业务部门可由同行公司进行广泛研究，以比较影响其效率和利润的各种参数。研究结果将促进企业公民对社会负责的做法，并采用减少碳足迹的做法。它还将建议对社会负责的投资者选择基准和最有效率的公司进行投资。，这项研究最初是在衡量效率和对以控制碳足迹的最佳实践着称的公司的排名方面提出的建议，并向其同行集团推荐基准公司。同样，将DEA-TOPSIS用于此类研究的综合方法也使其与相关领域的早期工作有所区别。