Energy Efficiency: Determinants and Roles on Sustainable Development in Emerging Country

Le, Thanh Tiep; Huan, Ngo Quang; Hong, Tran Thi Thuy

doi:10.32479/ijeep.10717

Cited by 3 publications

(1 citation statement)

References 38 publications

(60 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A particularly important area of knowledge in the context of sustainable development is formed around the formation of directions and modeling of energy conservation and energy efficiency. The scientific literature covers the study of such problems and issues as the construction of predictive models (in particular, triple exponential smoothing) of energy consumption on the example of China (Zhou and Chen, 2019), the role of political and economic factors in the regulation of the energy complex (Wu, 2019), modeling equations describing the impact of environmental innovation, entrepreneurial orientation and entrepreneurial selfefficacy on energy efficiency (Ahmed et al, 2020), methodological aspects of energy efficiency in manufacturing industries, its dependence on external factors (Tiep et al, 2021), a systematic approach to the management of emissions, waste, waste disposal, unused energy resources (Glinushkin et al, 2021), identification of reserves for minimizing energy losses in the chemical industry, in particular, using methods of neural network modeling (Shinkevich et al, 2021) etc.…”

Section: Literature Reviewmentioning

confidence: 99%

State Priorities in the Petrochemistry of Russia: Sustainable Development, “Green” Industry and Energy Efficiency

Shinkevich¹,

Ershova²,

Ishmuradova³

et al. 2021

IJEEP

View full text Add to dashboard Cite

This research aims at diagnosing such priority areas for the development of petrochemicals in Russia as sustainable development and energy efficiency, at identifying trends and forecasting the development of the industry, taking into account the greening of the industry. Achieving the goal is based on the use of methods such as graphical, comparative, economic and mathematical (neural network modeling, correlation regression analysis), and prognostic. The article contains an assessment of the achievement of the sustainable development goals focused on energy saving and environmental protection; forecasting the level of greenhouse gas emissions in Russia based on the construction of a neural network and a regression model; comparative analysis of the rates of transition to sustainable development of chemical production and production of coke and petroleum products in the Russian economy. The scientific results of the research are a neural network model trained on the indicators of sustainable and energy efficient development of the Russian economy, on the basis of which the relationship between the level of greenhouse gas emissions, the energy intensity of GDP and the share of electricity from renewable energy sources is formalized; a predictive model that made it possible to calculate future values of greenhouse gas emissions depending on the target values of predictive variables; features of the greening of petrochemical industries in Russia.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

State Priorities in the Petrochemistry of Russia: Sustainable Development, “Green” Industry and Energy Efficiency

Shinkevich¹,

Ershova²,

Ishmuradova³

et al. 2021

IJEEP

View full text Add to dashboard Cite

show abstract

Innovation norms during COVID-19 and Indonesian hotel performance: Innovative energy use as a mediating variable

Syariati

Jafar

et al. 2023

Cogent Business & Management

View full text Add to dashboard Cite

Macroeconomic Impacts of College Expansion on Structural Transformation and Energy Economy in China: A Heterogeneous Agent General Equilibrium Approach

Huang,

Yang

2024

Mathematics

View full text Add to dashboard Cite

In this study, we construct heterogeneous agent general equilibrium models to investigate the relative importance of labor endowment in driving structural transformation. We aim to explore the following question: beyond the demand-side and supply-side structural transformation driving forces extensively studied in the existing literature, does labor, as a crucial endowment, play a pivotal role in facilitating structural transformation and the energy economy? In contrast to the prevalent partial equilibrium analyses, our study employs a general equilibrium framework to conduct a policy evaluation of college expansion, a significant policy that has altered the labor endowment structure in China. Our approach begins with developing a multi-sector model that integrates a nested CES production function and incorporates workers with different skill levels to assess the macroeconomic impact of college expansion on structural transformation. We calibrate the base model to reflect labor allocations across sectors and skill levels using the simulated method of moments (SMM), ensuring that the model-generated data align closely with actual labor allocation data. Utilizing this calibrated model, we perform counterfactual experiments to assess the impact and relative importance of the college expansion policy. Our counterfactual analysis demonstrates that the policy has resulted in an average decrease of 7.7% in labor allocation in the agricultural sector, alongside an average increase of 8.9% in the industry sector and 28.7% in the services sector. These results highlight the significant, yet often overlooked, contribution of labor in endowment-driven structural transformation. Furthermore, we extend the base model by constructing an industry-level heterogeneous agent general equilibrium model, enabling us to pinpoint which industries have developed as a result of the college expansion policy and recalibrate it at the industry level. This approach allows us to analyze the impact of changes in labor endowment on the energy economy. Counterfactual experiments conducted show that the college expansion policy has prompted a labor shift from industries with low energy efficiency and high pollution to high-end services. This macroeconomic pattern of structural transformation suggests that the college expansion policy has facilitated a transition toward a low-carbon economy by reducing dependency on high energy-consuming industries and promoting high-end services.

show abstract

Energy Efficiency: Determinants and Roles on Sustainable Development in Emerging Country

Cited by 3 publications

References 38 publications

State Priorities in the Petrochemistry of Russia: Sustainable Development, “Green” Industry and Energy Efficiency

State Priorities in the Petrochemistry of Russia: Sustainable Development, “Green” Industry and Energy Efficiency

Innovation norms during COVID-19 and Indonesian hotel performance: Innovative energy use as a mediating variable

Macroeconomic Impacts of College Expansion on Structural Transformation and Energy Economy in China: A Heterogeneous Agent General Equilibrium Approach

Contact Info

Product

Resources

About