The energy consumption-growth nexus in Jamaica

2022 ◽  
pp. 67-85
Author(s):  
Adian McFarlane ◽  
Anupam Das ◽  
Kaycea Campbell
2021 ◽  
Vol 13 (3) ◽  
pp. 1093
Author(s):  
Yunlong Zhao ◽  
Geng Kong ◽  
Chin Hao Chong ◽  
Linwei Ma ◽  
Zheng Li ◽  
...  

Controlling energy consumption to reduce greenhouse gas emissions has become a global consensus in response to the challenge of climate change. Most studies have focused on energy consumption control in a single region; however, high-resolution analysis of energy consumption and personalized energy policy-making, for multiple regions with differentiated development, have become a complicated challenge. Using the logarithmic mean Divisia index I (LMDI) decomposition method based on energy allocation analysis (EAA), this paper aims to establish a standard paradigm for a high-resolution analysis of multi-regional energy consumption and provide suggestions for energy policy-making, taking 29 provinces of China as the sample. The process involved three steps: (1) determination of regional priorities of energy consumption control by EAA, (2) revealing regional disparity among the driving forces of energy consumption growth by LMDI, and (3) deriving policy implications by comparing the obtained results with existing policies. The results indicated that 29 provinces can be divided into four groups, with different priorities of energy consumption control according to the patterns of coal flows. Most provinces have increasing levels of energy consumption, driven by increasing per capita GDP and improving living standards, while its growth is restrained by decreasing end-use energy intensity, improving energy supply efficiency, and optimization of industrial structures. However, some provinces are not following these trends to the same degree. This indicates that policy-makers must pay more attention to the different driving mechanisms of energy consumption growth among provinces.


PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0251824
Author(s):  
Yuanying Chi ◽  
Guoqing Bai ◽  
Jialin Li ◽  
Bin Chen

This study uses the improved Cobb-Douglas two-factor production function model to explore the potential relationship between economic growth and energy consumption through the multiple co-integration test on the panel data of China from 1985 to 2018. The results show that there is a positive long-term balance between energy consumption and economic growth: economic growth of 1%, total energy consumption growth of 1.53%, which means that economic growth needs higher energy support in the former short term. At the same time, the error correction term will converge energy consumption to a long-term equilibrium state with an adjustment intensity of 134.59%. From the results of variance decomposition, we can also see that as the number of periods increases, the part of real economic growth explained by energy consumption gradually increases.


Author(s):  
Xin Youyang ◽  
Li Xiuzhong ◽  
Shang Li

Low energy utilization is observed in China due to the extensive economic growth mode, which further leads to considerable energy wastes and environmental pollution. The construction industry plays an important role in the national economic development of China and consumes tremendous materials; thus, this industry discharges abundant CO2. The energy consumption growth rate of the construction industry in China is far higher than the national energy consumption growth rate, resulting in the prominent situation of high energy consumption and low yield. A case study based on Henan Province, China, was conducted to further analyze the environmental efficiency of the construction industry. An index system was established by using the Super-slack-based model (Super-SBM). This system chooses the following: labor, energy, capital, and technology of the construction industry as the input variables, economic output as the output variable, and carbon emissions as the unexpected output. This system was also used to investigate the energy efficiency of the construction industry in Henan Province from 2008 to 2019. Results demonstrated that the construction industry in Henan Province has failed to eliminate the extensive development mode thus far. The environmental efficiency of the construction industry presents a fluctuating growth with a mean of 1.048, which generally remains at a relatively low level. The numbers of construction machines and enterprises in the construction industry have redundancy in approximately 50% of the years. Thus, this study can provide some positive references to enrich the evaluation index system and estimation model of energy efficiency of the construction industry, which includes unexpected output. Moreover, the current study can provide a comprehensive understanding of the environmental efficiency of the construction industry in a province in China and realize reasonable allocation of construction industrial resources.


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