Soochow University, Taipei, Taiwan.
Zhejiang University of Finance and Economics, Hangzhou, China.
Inquiry. 2020 Jan-Dec;57:46958020935664. doi: 10.1177/0046958020935664.
This study pays more attention to the energy consumption saving, environmental pollution, and health efficiency improvement. We employ the Slack-based measure of Dynamic network Data Envelopment Analysis (DEA) model (DNSBM) to assess the impact of forestry area on annual and overall energy and health efficiency in 2 intertemporal stages, and also put forward on direction and magnitude to be improved respect to the slack variables. For the empirical study, this study employs the 13 countries in the Association of Southeast Asian Nations Plus Three Cooperation (hereinafter referred to as APT) during 2011-2015. From the empirical evidence, it is not easy to raise gross domestic product while reducing energy consumption and PM2.5 emissions to improve energy efficiency. What makes people neglect is the impact of reduced forestry area on health efficiency. Optimistically, all economies are able to adopt measures from policy and technical perspectives, for instance, appropriately adjust energy-related policies, energetically develop innovative energy technologies, and preserve forestry areas, to create a harmonious atmosphere featuring economic development, environmental conservation, and national health and well-being.
本研究更加关注能源消耗节约、环境污染和健康效率提高。我们采用基于松弛的动态网络数据包络分析(DNSBM)模型来评估林业面积对年度和整体能源和健康效率的影响，并针对松弛变量提出改进的方向和幅度。在实证研究中，本研究采用了 2011-2015 年东南亚国家联盟加三国合作(以下简称 APT)的 13 个国家的数据。从实证证据来看，在降低能源消耗和 PM2.5 排放以提高能源效率的同时提高国内生产总值并不容易。人们忽视的是减少林业面积对健康效率的影响。乐观的是，所有经济体都能够从政策和技术角度采取措施，例如适当调整能源相关政策，大力发展创新能源技术，保护林业面积，营造经济发展、环境保护和国家健康福祉和谐的氛围。
