This study systematically summarizes previous research efforts on Data Envelopment
Analysis (DEA) applied to energy and environment in the past four decades, including …

In this study we examine the dynamic interrelationship in the output–energy–environment
nexus by applying panel vector autoregression (PVAR) and impulse response function …

In recent years there has been an exponential growth in the number of publications related
to theory and applications of Data Envelopment Analysis (DEA). Charnes, Cooper, and …

We examined the influence of urbanization on CO 2 emission at different development
levels employing the stochastic impacts by regression on population, affluence and …

The contradiction between industrial agglomeration and energy constrains the development
of cities. Government competition can affect the flow of factors for industrial agglomeration …

Rapid urbanization is a global phenomenon that has altered many ecosystems, causing a
decline in many ecosystem services, generating ecological risks such as water shortages …

The use of data envelopment analysis (DEA) in China's regional energy efficiency and
carbon emission efficiency (EE&CE) assessment has received increasing attention in recent …

According to the new economic geography hypothesis, this study establishes an analytical
framework to assess the efficiency of energy use and the progress of green development …

Regional disparity in terms of industrial energy efficiency is noticeable in China due to the
unbalanced economic progress in past decades. Analyzing the provincial industrial energy …

At present, China is the largest primary energy consumer and carbon emitter in the world.
Meantime, China is a large transitional economy with significant regional gaps. Against such …