Energy demand growth in Southeast Asian countries is predicted to be the highest in the world, with Indonesia having the highest urbanization rate. Along with growing urban areas, public infrastructures, such as streetlights, are also expanding. Unfortunately, energy conservation measures in...

ASEAN countries need to consider more innovative, market-oriented approaches to accelerate energy efficiency improvement, and well-designed voluntary agreements will play a critical role in raising the awareness of companies and engaging them with the materialization of multiple energy...

The People's Republic of China (PRC) has taken bold actions since 2016 to utilize low-grade industrial excess heat to improve the energy efficiency of district heating systems. This study aims to draw policy insights into the PRC's field experience of overcoming barriers to energy efficiency...

This study investigates the long-run cross-economy dynamics in energy productivity across the world. We construct a data set comprising value-added and energy use data on 18 productive sectors in 47 economies over the period 2000-2015. First, we analyze the cross-economy distribution of energy...

In this paper, an energy level analysis model of oil transfer station system is established, which is divided into oil transfer station subsystem and pipeline network subsystem. From the perspective of the level of energy, the system is evaluated and optimized by virtue of using energy level...

As the growth of energy demand outstrips that of energy supply in Southeast Asia, it becomes imperative for ASEAN member states to seek energy efficiency improvements for sustained energy security. While green buildings have an overall low penetration rate in ASEAN, when compared to the rest of...

The International Energy Agency estimates that $24.5 trillion of energy efficiency (EE) investments will be needed through 2040. Debt- and self-financed projects are expected to contribute only a third of this capital due to multiple barriers. On the one hand, self-financed projects require...

There are many models in the current statistical literature for making inferences based on samples selected from a finite population. Parametric models may be problematic because statistical inference is sensitive to parametric assumptions. The Dirichlet process (DP) prior is very flexible and...

The ordinary least squares (OLS) estimator for spatial autoregressions may be consistent as pointed out by Lee (2002), provided that each spatial unit is influenced aggregately by a significant portion of the total units. This paper presents a unified asymptotic distribution result of the...

Against the backdrop of the COVID-19 outbreak, an emergency policy initiative called "Suspending Classes Without Stopping Learning" was launched by the Chinese government to continue teaching activities as schools across the country were closed to contain the virus. However, there is ambiguity...