Natural and Managerial Disposability Based DEA Model for China’s Regional Environmental Efficiency Assessment

Abstract

With the acceleration of industrialization, a large amount of energy consumption has brought tremendous pressure to the natural environment. In order to prevent environmental pollution and promote sustainable development, the environmental efficiency assessment as an effective way to provide decision-making basis has been given wide attention. This study measures the environmental efficiency of 30 provinces in China from 2006 to 2015 based on the Data Envelopment Analysis (DEA) environmental assessment radial model both under natural disposability and managerial disposability that considered the constant variable return to scale (RTS) and the damage to scale (DTS). In addition, the scale efficiency under the two kinds of disposability of China’s 30 provinces were also measured. We found that the environmental efficiencies of different provinces in China showed regional disparities. Provinces such as Beijing, Shanghai, and Guangdong had a good performance in unified environmental efficiency and scale efficiency both under natural disposability and managerial disposability. Generally speaking, the eastern regions always performed better than the central and western regions in unified environmental efficiency during the observed years. Therefore, policies should be established to distribute the resources in balance between the east, center, and west to further promote environmental efficiency.

Ranking EU Agricultural Sectors under the Prism of Alternative Widths on Window DEA

“…In the case of agricultural sector efficiency assessment, DEA methodology has been used in order to evaluate total factor productivity (TFP) [10], revealing the need for improvement between countries with similar structural profiles. Under the scope of energy usage and natural environment protection, Zhou et al have assessed changes of environmental efficiency between years 2006-2015, revealing geographical patterns that should be further supported from the government, connecting efficiency scores with regional characteristics [11]. Feasible solutions for crop management can be provided through DEA results, has led to improved management of available agricultural land, as a whole, in the most efficient way, combining crops' productive needs with regional structural characteristics [12].…”

Coupling coordination analysis with data-driven technology for disaster–economy–ecology system: an empirical study in China

“…Nowadays, a growing number of strategies for regional sustainable development under disaster threat are proposed. The research puts forward specific policy recommendations targeting the development level of different regions (Song et al 2017;Zhou et al 2019b). Other considers that local governments can balance economic growth and environmental pollution through regulatory power (Zhou et al 2019a).…”

Analisis Kinerja Dana Alokasi Khusus Bidang Energi Skala Kecil dalam Meningkatkan Desa Berlistrik

“…Metode yang digunakan untuk mengevaluasi kinerja DAK Bidang Energi Skala Kecil menggunakan metode analisis Data Envelopment Analysis (DEA). A.Charnes dan WW Cooper pertama kali mengusulkan metode DEA pada tahun 1978 (Zhou et al, 2019). DEA merupakan pengukuran efisiensi yang bersifat bebas nilai (value free) karena didasarkan pada data yang tersedia tanpa harus mempertimbangkan penilaian (judgement) dari pengambil keputusan.…”