Energy Efficiency Of Enterprises Research Articles

Can the energy-consuming right transaction system improve energy efficiency of enterprises? New insights from China

Can the energy-consuming right transaction system improve energy efficiency of enterprises? New insights from China

Can Environmental Information Disclosure Improve Energy Efficiency in Manufacturing? Evidence from Chinese Enterprises

Improving the energy efficiency of enterprises is one of the key means to solve the problem of energy shortage. It is of great significance to investigate how environmental information disclosure (EDI) promotes the green total factor energy efficiency (GTFEE) of enterprises. Based on this, this study calculates the GTFEE of enterprises by combining the database of Chinese manufacturing and the pollutant emission of industrial enterprises and investigates the impact of EDI on the GTFEE of manufacturing industries by using a difference-in-difference model. The following is found: (1) EDI can significantly promote the manufacturing enterprises’ GTFEE, and the results are still valid after a series of robustness tests; (2) Mechanism analysis shows that EDI can improve the GTFEE of manufacturing enterprises by promoting technological innovation and optimizing energy structure; (3) The heterogeneity analysis shows that EID is more positive on firms’ GTFEE in the eastern than western regions. The positive impact is greater for non-state-owned, low-energy consumption, export, and polluting enterprises. The findings of this paper provide a theoretical basis and practical enlightenment for the government to promote the green development transformation of enterprises.

“Booster” or “Obstacle”: Can digital transformation improve energy efficiency? Firm-level evidence from China

To identify the influence of digital transformation on energy consumption, this paper introduces digitalization and energy elements into the multi-sector energy efficiency analysis model. Furthermore, this paper empirically tests the influence of digital transformation on energy efficiency from the micro level. The results show that the digital transformation indeed improves the enterprises energy efficiency, in which enterprises with higher energy efficiency are more affected. The improvement effect of digital transformation on enterprise energy efficiency continues to increase over time. In comparison, digital transformation shows more effective improvement effect on energy efficiency in enterprises that substantive transformation priority, with same group and maturity stage. Mechanism analysis shows that digital transformation can improve the energy efficiency of enterprises by reducing costs, increasing income, improving production efficiency and promoting technological innovation. In addition, the digital inclusive finance, government subsidies, intellectual property protection and service industry opening show positive regulatory effects. This paper proposes that, with the goal of peak carbon dioxide emissions and carbon neutrality, enterprises should actively increase digital investment and strengthen digital management of energy utilization.

The impact of artificial intelligence on the green and low‐carbon transformation of Chinese enterprises

AbstractArtificial intelligence (AI) plays a crucial role in addressing resource and environmental constraints and achieving sustainable economic and social development. This study examines the impact and mechanisms of AI on the green and low‐carbon transformation of enterprises using a sample of companies listed on the Shanghai and Shenzhen stock exchanges from 2009 to 2021. The research findings indicate that AI has the capability to effectively mitigate corporate carbon emissions (CCE) and enhance the level of green innovation (GI) in enterprises. Mechanism analysis reveals that energy consumption plays a mediating role in the relationship between AI and CCE. Heterogeneity analysis reveals that the inhibitory effect of AI on CCE is more pronounced in private enterprises and non‐heavy polluting industries. However, the impact of AI on GI is greater in state‐owned enterprises and heavy‐polluting industries. This study sheds light on the influence of AI on the green and low‐carbon transformation of enterprises, as well as its transmission mechanisms. It provides theoretical and empirical insights for promoting GI, reducing emissions, and improving energy efficiency in enterprises.

Method of calculation of temperature parameters and service life of 10 kv cable lines

This study is based on the analysis of the methodology for calculating the temperature parameters of 10 kV cable lines and calculating the service life of insulation under various operating conditions, as well as identifying dependencies that allow the most accurate selection of cable parameters during operation at industrial facilities. The results of the study can be used to improve the energy efficiency of enterprises, and contribute to reducing the number of emergency failures of cable lines that may occur due to thermal breakdowns caused by incorrect choice of cable parameters under certain operating conditions, which may cause an increase in production costs in general. Conducting research and calculations of temperature parameters of cable lines at a voltage of 10 kV with different laying methods and with different capacity factors according to the climatology of the Republic of Tatarstan, as well as identifying key dependencies that will enable to draw appropriate conclusions on the operation of cables in the conditions under consideration. The article uses methods for calculating temperature parameters and cable service life, as well as methods for processing the data obtained as a result of calculations, including the method of function approximation. Special software is also used to visualize the results obtained after the calculations. The results of calculations of temperature parameters of 10 kV cable lines for various laying methods, with different types of insulation and with different capacity factors according to climatology of the Republic of Tatarstan are presented. Calculations of the service life of cable lines under the conditions under study have been made and conclusions have been drawn on optimal cable loads that will not lead to premature thermal aging of insulation under certain operating conditions. The initial data for the calculations and the methodology used comply with GOST standards for cable lines. The results of the study and the calculations performed can be used to evaluate and select the optimal load of cable lines under selected conditions at the design stage of power supply systems.

Good for the environment? Foreign investment opening in service sector and firm's energy efficiency

Until now, studies on the environmental effect of foreign investment opening (FIO) in service sector are still blank. Actually, development of service sector is significant force for promoting economic modernization for the countries, thus development of service sector is extremely significant for developing countries. In this paper, we select China, the largest developing country, as representative country, in studying environmental effect of FIO in service sector. Our analyses construct theoretical model in studying impacts of FIO in service sector on enterprise's energy efficiency. Then, our analyses employ strictly exogenous policy change of China's foreign investment control clauses to measure FIO in service sector, and empirically identify the causal effects of FIO in service sector on firm's energy efficiency by using unique energy consumption data of Chinese enterprises from 2001 to 2012. Our results imply FIO in service sector could raise energy efficiency, suggesting that FIO in service sector has a positive effect on the environment. Further mechanism tests show that FIO in service sector could lead to improvement of energy efficiency by technology spillover effect and innovation effect. Our analyses give the first evidence on environmental impact of FIO in service sector, which reveals its significant role in promoting economic development of developing countries.

Energy crisis and companies’ investment in renewable energy sources: case of Metal Processing Cluster

Motivation: Improving the energy efficiency of enterprises is now not only a postulate of inter-national and national energy transition strategies towards climate neutrality, but also a requirement for maintaining their profitability and competitive capacity. Rising energy fuel prices and the unstable geopolitical situation, and above all, the war in Ukraine, are causing many enterprises to take energy-saving actions (ESA’s). One of them is investing in renewable energy sources (RES) for their own consumption, understood as investing in future energy purchase savings.Aim: The article aims to identify the involvement of enterprises affiliated with the Metal Processing Cluster (MPC), which has the status of the Polish Key National Cluster, in RES investments in the context of the energy crisis. It also attempts to verify the hypothesis: greater interest in investing in RES is shown by enterprises that have seen a strong negative impact of energy price increases on their operations. The research was carried out on the basis of literature studies, analysis of Polish Central Statistical Office statistical data and analysis of reports of various institutions. Empirical verification of the hypothesis was possible on the basis of the results of surveys conducted in the enterprises of the MPC.Results: The research showed that in 2022, more than half of the surveyed companies affiliated with the MPC felt the negative (very strong and strong) effect of rising energy prices. It primarily had an impact on the decline in their profitability. In 73% of the surveyed companies, this situation influenced the decision to start investments in renewable energy sources, with the majority of these investments being in photovoltaic panels. The survey contributes to the knowledge of the impact of the energy crisis on RES investments in metal companies.

Does green credit affect enterprises’ energy efficiency?

Whether green credit promotes heavily polluting enterprises’ energy efficiency is indeed of great practical significance for China to early achieve the “double carbon” goal. This paper uses the green credit guideline issued in 2012 as a natural experiment drawing on the relevant data of Chinese listed enterprises from 2009 to 2020. It adopts a difference-in-differences model to assess the effect of green credit guideline on energy efficiency. The research finds green credit guideline improve the energy efficiency level of pilot enterprises by 0.0141 compared to non-pilot enterprises, and green credit guideline can improve energy efficiency by encouraging enterprises to increase research and development investment. Further, trade credit promotes the positive impact of green credit guideline on the energy efficiency. Moreover, green credit guideline plays a role in stimulating energy efficiency in enterprises in regions with high marketization degree, enterprises with high liquidity ratio and state-owned enterprises.

Natural resource saving effects of data factor marketization: Implications for green recovery

Using the resource-saving effect of digital factors to improve the efficiency of using natural resources, especially energy, is vital for achieving a green recovery. This study, taking the construction of China's big data platform and data exchange as an example, analyzes the resource-saving effect of data factor marketization by using the multi-period double-difference model, the KHB mediating effect model, and the quantile review model. It explores how the data factor market affects enterprises’ energy efficiency, considering data from 2011 to 2019. The findings confirm that the establishment of data factor markets enhances enterprise energy efficiency, while its effect has multidimensional heterogeneity. In addition, this natural resource-saving effect gradually increases as energy efficiency improves. The effect results from micro-level green innovation and macro-level market enhancement. Based on the findings, the study recommends that steadily promoting data marketization could enhance enterprise energy efficiency, leading to a green recovery for the economy.

Green Finance, Enterprise Energy Efficiency, and Green Total Factor Productivity: Evidence from China

Climate change has become a global issue that requires collective efforts, and green finance policies are an important way to address this problem and promote enterprise development. This paper uses listed company data and city panel data to investigate the utility and mechanisms of the influence of the development of green finance in different cities on the Green Total Factor Productivity (GTFP) of enterprises. The conclusion was that green finance can improve enterprise GTFP, which remained significant after conducting a series of robustness tests. The mechanism analysis showed that green finance can improve enterprise GTFP by promoting energy conservation and emission reduction. The heterogeneity analysis indicated that green finance has a better effect on non-state-owned enterprises, large-scale enterprises, and enterprises with weak financing constraints. This paper enriches the literature that addresses the impact of green finance and the influential factors among GTFP.

Impact of China’s Low-Carbon City Pilot Policies on Enterprise Energy Efficiency

An increase in energy efficiency is an essential element and a powerful driving force for the in-depth implementation of the sustainable development strategies necessary in accelerating the promotion of green, circular, and low-carbon development, as well as to promote the comprehensive green transformation of economic and social development. An important question with regard to this paper is thus: can the low-carbon city pilot policy promote energy efficiency improvement, and if so, through what mechanisms? This paper uses the SBM–Malmquist–Luenberger index method to measure the green total factor energy efficiency and examines the impact and pathways of the pilot policy on the energy efficiency of enterprises, using a sample of listed manufacturing enterprises in 230 prefecture-level cities in China from 2007 to 2020. Additionally, the time-varying difference-in-differences (DID) method is approached in this paper. After replacing energy efficiency with slack-based measure directional distance function model (SBM-DDF) and conducting a series of robustness tests, this study found that the pilot policy can significantly improve the energy efficiency of manufacturing enterprises. A mechanism test shows that this policy can promote green innovation effect and agglomeration effect to improve enterprises’ energy efficiency. The low-carbon city pilot policy has contributed the most to energy efficiency through enterprise investment in green innovation and manufacturing agglomeration. Heterogeneity analysis found that policy effect differs among firms in terms of different sizes and properties, and the pilot policy plays different roles among different regions. This paper provides firm-level theoretical support and empirical evidence for evaluating low-carbon city pilot policy and offers policy recommendations.

Air Pollution and Enterprise Energy Efficiency: Evidence from Energy-Intensive Manufacturing Industries in China

This study aims to investigate the causal effect of air pollution on enterprise-level energy efficiency in the energy-intensive manufacturing industries of China. To address the potential endogenous problem, it employs thermal inversions as the instrumental variable. The study finds that air pollution would significantly decrease enterprise-level energy efficiency. It shows heterogeneous influences of air pollution on enterprise-level energy efficiency, varying with enterprise ownership, enterprise age, enterprise location, and regional energy resource endowment. This study further reveals that air pollution exerts a negative influence on enterprise-level energy efficiency through the mechanisms of decreasing enterprise productivity (both total factor productivity and labor productivity), increasing enterprise total energy consumption, and lowering enterprise exports. The findings of this study provide an economic rationale for enterprises to motivate themselves to reduce air pollution and have important implications for policymaking in China and other developing countries.

Energy Efficiency Assessment of Industrial Users Based on Improved TOPSIS Grey Correlation Analysis

In order to improve the energy efficiency of industrial users and evaluate the energy efficiency level before optimizing the energy efficiency of enterprises, an energy efficiency evaluation method based on improved TOPSIS grey relational analysis was proposed to find the weak links in energy use. Firstly, three indexes of energy stability, energy consumption per unit output and carbon emission per unit output are selected to construct the energy efficiency index system. Secondly, the index weights are calculated by entropy weight method, and the energy efficiency levels of industrial users are classified, which can be used by the power grid to implement differentiated electricity prices for high-energy consumption enterprises. Last example city 10 typical energy-intensive enterprise users used improved TOPSIS grey correlation analysis method for evaluation of energy efficiency, energy consumption per unit output value is obtained by analysis of the index weight is the largest, the better the performance of the index, the higher the comprehensive evaluation results of energy efficiency, and finally the method compared with other evaluation methods to verify the effectiveness of the proposed method in this paper.

Challenges of Energy Management in the Food Industry in Poland in the Context of the Objectives of the European Green Deal and the “Farm to Fork” Strategy

The Common Agricultural Policy defines the framework directions for the structural changes of the agri-food sector until 2030. The main reason for the actions is a fundamental change in the European Union’s approach to environmental protection issues and the dynamically changing conditions on the market for energy and agricultural raw materials. The European Green Deal, the key element of which is the “Farm to Fork” strategy, is the expression of the announced changes. The assumption of the documents is the long-term restructuring and modernization of the EU economy, which will be characterized, among others, by a closed cycle, low greenhouse gas emissions, and food and energy security. The challenges and the current situation in the markets of energy carriers are of significance in the activities of the food industry, which shows a high demand for energy. The aim of the article is to assess the level of consumption and energy efficiency of food industry enterprises in Poland, to identify challenges related to energy management and to formulate conclusions and recommendations in the field of changes adapting to the new conditions. The research results indicate that many positive changes took place in the energy economy of Polish food industry enterprises, among others, as a result of the implemented investments, the energy consumption of production, CO2 emissions and the amount of generated waste decreased. Due to unfavorable external conditions, it is necessary, however, to further improve the energy efficiency of enterprises, so that they can maintain cost competitiveness and meet the growing requirements in the field of environmental protection.

Energy effects of non-energy policies: Minimum wage standard and enterprise energy efficiency in China

Improving energy efficiency is one of the core goals of energy policy, but non-energy policies also play a role that cannot be ignored. To explore the energy effects of nonenergy policies on the production sector, this paper studies the effect of minimum wage on the energy efficiency of enterprises based on China's 2000–2009 minimum wage data and industrial enterprise microdata. We find that the minimum wage standard significantly improves the energy efficiency of enterprises. This conclusion holds after addressing a series of endogeneity concerns. The channel analyses verify that the minimum wage standard strengthens the allocation of the fixed assets of enterprises, improves innovation ability, and thus promotes energy efficiency. Furthermore, the energy efficiency improvements due to the minimum wage standard are more prominent in nonstate-owned enterprises, enterprises with few financing constraints and labour-intensive enterprises. Additionally, energy efficiency improvement helps alleviate the adverse impact of industrial enterprises on the ecological environment. The research conclusion of this paper shows that the government can optimize the allocation of resources through administrative ways and promote the efficient use of energy and the recovery of green industries.

Теоретические основы реализации концепции «Энергопереход 4.0» в сфере российской промышленности

One of the key directions of development of Russian industry under serious resource constraints is the systematic introduction of energy-saving measures and technologies. New opportunities for the implementation of this direction have arisen with the spread of digital technologies Industry 4.0. Application of these technologies to solve the problems of increasing energy efficiency of enterprises, along with other areas of energy saving, contributed to the formation of the concept of “Energy Transition 4.0”. The implementation of this concept can not only increase the energy efficiency of the enterprise, but also significantly reduce the environmental risks associated with its activities and ensure the integration of energy-saving technologies into the overall digital infrastructure of the enterprise.

The calculation algorithm of oil and gas production enterprise energy efficiency indicators

THE PURPOSE. The main purpose of the study is to develop the calculation algorithm of energy efficiency indicators. To develop an algorithm, it is necessary to consider the features of the power supply system of the oil and gas production enterprise. Then, the power and electricity balance calculation algorithm should be designed to evaluate the share of the technological processes’ consumption, analyze losses, and determine the source of imbalance. The assessment of energy efficiency indicators will require adaptation of the parameter’s identification method for rotating electrical machines in operating modes. To calculate the specific equipment energy, it is necessary to use power tracing in the algorithm. The final stage is to develop a visualization of a software prototype for monitoring and control energy efficiency indicators of an oil and gas production enterprise.METHODS. The equipment parameters identification method based on actual measurements is used for designing a mathematical model. To calculate the steady-state, the nodal-voltage method is used in couple with an addressing matrix for tracing power flows.RESULTS. The paper proposes an algorithm for calculating energy efficiency indicators of equipment for an oil and gas production enterprise. The algorithm is based on the processing and analysis of actual data from the electricity metering devices installed at the enterprise. Analysis of the power consumption information together with the oil production indicators will reveal the most efficient operating mode of the equipment. The calculating algorithm for the specific electricity consumption is considered in the example of a typical hierarchy of metering devices at a field. Further, the paper discusses the possibility of applying the targeting flow distribution principle for reducing power losses. A parameters identification technique is presented for multi equipment nodes to assess energy efficiency and monitor operating parameters.CONCLUSION. The algorithm considered in the paper was introduced into the information system of the production control center at the field as an additional module for assessing energy efficiency. The large deviation of the indicator's values from the specified ones is messaging about the equipment's normal mode violations. It allows creating an optimal schedule of organizational and technical measures to regulate energy consumption and improve the energy efficiency of the enterprise.

Which is More Effective: The Carrot or the Stick? Environmental Policy, Green Innovation and Enterprise Energy Efficiency–A Quasi-Natural Experiment From China

As the concept of carbon neutralization is valued, attention is paid to how environmental protection policies affect enterprises. However, little is known about how environmental policies affect enterprise energy utilization efficiency and green innovation. Based on Porter’s effectuation and deterrence theory, this paper proposes that an incentive environmental protection policy (environmental protection incentive) and punitive environmental protection policy (environmental protection regulation) have different impact mechanisms on enterprise green innovation and energy utilization efficiency. The following conclusions are drawn by using the data of listed enterprises since implementing the new environmental protection law in China and using the PSM-DID method to construct a quasi-natural experiment. 1) Environmental protection incentives are not conducive to improving energy utilization efficiency; 2) Environmental protection regulation can improve enterprise energy utilization efficiency; 3) Environmental protection incentives are not conducive to green innovation; 4) Environmental protection regulation is conducive to the green innovation of enterprises; 5) Green innovation plays a complete intermediary role in the relationship between environmental protection policies and enterprise energy utilization efficiency; 6) Different policies have heterogeneity on Enterprises: environmental protection incentives are conducive to the improvement of energy utilization efficiency of state-owned enterprises but not conducive to non-state-owned enterprises; The effect of environmental protection regulation on non-state-owned enterprises is more potent than that of state-owned enterprises. This study compares the impact of different environmental protection policies on enterprise green innovation and energy utilization efficiency and puts forward more effective and realistic targeted policy suggestions. This paper tries to understand the policy mechanism through comparison; The government has promoted green innovation and efficient and clean production by implementing policies for enterprises.

A New Approach to Assessing the Energy Efficiency of Industrial Facilities

The modern climate policy of different countries, decarbonization, the principles of ESG and sustainable development determine the main trends in the world economy, the result of which is a new vision of the energy-saving problem. The authors’ research is based on the key idea that in the modern world, systematic measures are needed to improve the energy efficiency of enterprises in the industrial sector of the economy. The article analyzes the systems used for assessing the energy efficiency of objects for various purposes, and on this basis, their advantages and limitations in application are revealed, which were taken by the authors as a basis for developing a new approach to assessing the energy efficiency of industrial facilities. The study gives preference to the point-rating assessment. The authors have developed a system of indicators structured by groups: building energy efficiency, technological process energy efficiency, energy efficiency and environmental friendliness management. The system of indicators of energy efficiency of an industrial facility proposed by the authors has been replaced as a basis for ranking industrial facilities by energy efficiency classes.

The Effect of Air Pollution on Enterprise Energy Efficiency in Energy-Intensive Manufacturing Industries: Evidence from China

The Effect of Air Pollution on Enterprise Energy Efficiency in Energy-Intensive Manufacturing Industries: Evidence from China