Policymakers around the world are confronted with the challenge of balancing between economic development and environmental friendliness, which entails a robust set of measures in energy efficiency and environmental protection. The increasing complexity of these issues has imposed pressure on the Asian countries that have been acting as global factories. This paper proposes a meta-frontier slacks-based measure (SBM) data envelopment analysis (DEA) model, with the hope that policymakers clarify the relationship between labor force, energy consumption, government expenditures, GDP, and CO 2 emissions. Clarification of the causal relationship can serve as a template for policy decisions and ease concerns regarding the potential adverse effects of carbon reduction and energy efficiency on the economy. The results show: (1) Developing countries should establish their own climate change governance and policy frameworks; (2) Developed economies should seek to lower carbon emissions; (3) Energy policies play a pivotal role in energy efficiency improvement; (4) Top-down efforts are critical for the success of carbon reduction policies; (5) Learning from the success of developed countries helps to improve the effectiveness of energy policies; (6) Environmental policies should be formulated, and new production technologies, pollution prevention measures, and treatment methods should be introduced; (7) Governments are suggested to build long-term independent management institutions to promote energy cooperation and exchange.
Smart city and smart hospital development comprise a mainstream strategy worldwide to enhance the achievement of Sustainable Development Goals (SDGs) and Corporate Social Responsibility (CSR) practices. The smart healthcare industry needs to optimize its smart healthcare information strategies, creating the process-activity value and reducing the cost of healthcare without sacrificing the quality of patient care. This study proposes an decision model of Activity-Based Costing (ABC) concept and Multi-Criteria Decision-Making (MCDM) techniques that integrates the Decision-Making Trial and Evaluation Laboratory (DEMATEL), Analytic Network Processes (ANP), the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) and Zero-One Goal Programming (ZOGP) to achieve optimal smart healthcare information system portfolio strategy decisions. The resulting data shows that the perspective of government policy support and the criterion of Minimize Equipment Maintenance Costs are the most significant evaluation factors, and that the Health Data Informational System and Hospital Device and Drug Management System comprise by far the optimal portfolio of smart healthcare information system which strengthen the connection between ABC and MCDM techniques in evaluation process. The major contributions of this study are as follows: (1) the proposed model contributes to the management accounting innovation development of a sustainable city and Operation Research (OR) application; (2) the integrated model can promote the smart healthcare industry development and help decision makers to more accurately understand how to allocate resources and planning for intelligent-related activities to each smart healthcare information system through appropriate cost drivers.
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