Trend Of Economic Development Research Articles

Multidimensional Impact of Urbanization Process on Regional Net CO2 Emissions: Taking the Yangtze River Economic Belt as an Example

Urbanization is a powerful symbol and an inevitable human economic and social development trend. This process affects carbon dioxide emissions by changing the human output and lifestyle and encroaches over the carbon sink areas by adjusting the land use types impacting the regional carbon balance. We systematically analyzed the influence of urbanization on regional net CO2 emissions (NCE) and built a quantitative model for the impact of urbanization on NCE based on population, economy, and land use. Based on this, the Yangtze River Economic Belt (YREB) in China has been selected as an example to measure the characteristics of the spatial and temporal evolution of NCE from 2005 to 2018 by empirically testing the contributions of population urbanization, economic urbanization, and land urbanization to the NCE changes in YREB. According to the study’s findings, the carbon-neutral pressure index of the YREB increased over the study period, with an increase in NCE from 1706.50 Mt to 3106.05 Mt. The contribution of urbanization in this process increased and subsequently decreased in an inverted U pattern with a drop in the cumulative net emission of 260.32 Mt. The inflection points of the cumulative impact of urbanization on NCE in the midstream and upstream regions occurred in 2011 and 2010, respectively. Due to the high degree of urbanization and economic growth in the downstream area, the urbanization impact demonstrated a constant reduction of NCE over the research period. In terms of sub-dimensions, the population and land urbanization effects were consistently positive, while the economic urbanization affected the NCE and displayed an inverted U pattern during the study period. If the variation in regional carbon sink space is ignored, the impact of urbanization on CO2 emission reduction will be overestimated. We investigated the realization path of differentiated synergistic emission reduction strategies in the great river economic belts based on the empirical study on YREB.

Analysis of Application and Significance of Management Innovation Based on the Cases of Contemporary Chinese Enterprises

Under the integration trend of world economic development and the current economic new normal, the development of domestic enterprises must face more challenges while having more opportunities. The application of enterprise management innovation can promote the improvement of the comprehensive competitiveness of enterprises. The number of domestic enterprises is large and increasing year by year, but in general, the overall management level of enterprises is low, many problems need to be solved urgently and there are still many blank areas to be explored. This article will analyze the importance and practical application of enterprise management innovation to enterprises, and point out the problems and blank areas that will arise in the practical application of management innovation. and put forward reasonable suggestions.

ГЕНЕЗА МЕНТОРСТВА ЯК ІСТОРИЧНОГО ЯВИЩА

The article focuses on current trends in economic, political and social development, that generate multi-vector changes in value systems and all social groups, among which a special place is taken up for children and youth, whereas it is very difficult for them to acquire new knowledge and form the necessary competencies and activities without mentoring within the digitalized world. The author of the article considers the historical aspects of the emergence of mentoring in the social and pedagogical spheres. The definition of the category and related definitions of mentoring on the basis of interpretations of Ukrainian and foreign scholars such as I. Sydorchuk, N. Havryliv, Z. Bondarenko, T. Bochkarova, I. Hychan, S. Ikonnikova, А. Reiman, J. Stockdale, L. Tillman etc are studied. It is established that in the times of Kyivan Rus’ mentoring was reflected in folk art and written language, life and works of prominent Kyivan kings Volodymyr the Great, Yaroslav the Wise, Volodymyr Monomakh. Modern pedagogical practice appeals to the historical achievements of the Ukrainian people and passes on their experience to future generations. It is determined that the historical achievements of the Ukrainian people are now translated into the Law of Ukraine «On General Secondary Education», which focuses on the introduction of a mentor for young professionals who during the first year of work must undergo a pedagogical internship with the support of an experienced teacher-mentor. It is established that today the education system of Ukraine continues to create a holistic system of scientific, methodological and mentoring support: open competitions, training of mentors through educational programs. The experience of training mentors within the programs «School of Mentors», «School 3.0» is analyzed. It is noted that the main tasks of training mentors are: support and development of leadership skills of specialists in terms of educational autonomy, the formation of a modern teacher who can accept the new challenges of the time. Key words: mentoring, mentor, education system, Regulations on mentoring.

ВИЗНАЧЕННЯ РОЛІ ТА МІСЦЯ ПРАКТИЧНОЇ СКЛАДОВОЇ У КОНТЕКСТІ ЯКІСНОЇ ПІДГОТОВКИ ЗДОБУВАЧІВ ВИЩОЇ ОСВІТИ

This work considers the issues of students' practical training as an integral component in modern technologies of degree education. This issue acquires particular relevance at the present time, when there is an increase in competition in the market of educational and scientific services, and Ukraine is advancing through integration into the European educational space. It is noted that without radical changes in the system of higher education, including without matching the labor market, without increasing the professional level of the nation, it is impossible to ensure the innovative development and competitiveness of educational activities in the country. Besides, innovative development of economy requires high level of education and practical training of specialists. Lagging of content and quality of education from labor market needs, from trends of world economic development leads to growth of unemployment and dissatisfaction of domestic employers. It is suggested to establish a hereditary relationship between educational approaches and labor market demands: what students master in educational technology should materialize in practice or in the production sphere. The main role in this should play practical skills, which the student acquires at the enterprises during the internship at all stages of education. The study showed that a specific system of training can play a big role in the issue of forecasting the needs of the labor market. The necessity of introducing new directions of marketing strategy was noted. The main of which is determined by the expediency of introducing gradation of master's education level according to three reasonable variants of master's programs, in accordance with the future vision of learning outcomes, the role of future specialist in the labor market and aspiration for direction of self-realization in the life space. Each of these stages should shape the student's specific skills, mindset. It is shown that at all learning levels attention should be paid not only to theoretical-methodological tasks and expert methods of their substantiation, but also not to leave unattended the approaches aimed at activation of students' creative search. The peculiarity of such approach during the practical work of students is emphasized The possibility of forecasting the needs of the labor market, taking into account general educational trends through the implementation of a model for the development of systemic partnership: government, business and higher education, with the active participation of employers is proposed. Key words: higher education levels, student, practical training, employment, euro-integration, labor market.

A Study on the English Translation Strategies of Culture-loaded Expressions in Political Articles

The English version of Chinese political articles are the main source for foreigners to obtain China’s economic development and policy trends. It appears to be important to translate these Chinese words objectively and accurately, especially for the overseas publicity. On the basis of Eugene A. Nida’s functional equivalence theory, the translation strategies of the neologisms, shortened-form expressions, idioms and numerals are analyzed. And the flexibility of translation of Chinese culture-loaded words is discussed. Finally the different translation strategies in political essays are summed up.

Inflation with GDP, Unemployment and Remittances: An Outline of the Joint Effect on Nepalese Economy

The major objective of this research is to examine the trend of inflation, the trend of Nepal's economic development, trends of unemployment, and trends of remittances. Likewise, another one is the analysis and the effect of inflation on the GDP, unemployment, and the remittances of Nepal. The method of this research is to analyze and use the secondary data to create a simple regression model based on econometrics. Furthermore, the article concludes the mathematical relation between inflation and economic growth, inflation and unemployment, and inflation and remittances. There is a positive strong relationship between inflation among GDP remittances and unemployment.

Directions of development of the system of interbudgetary relations in the conditions of decentralization

Relevance of the research topic. The effectiveness of inter-budgetary relations is an important prerequisite for stabilizing socio-economic processes. Decision-making on the appropriateness of the use of appropriate budgetary tools should be determined based on the assessment of changes in the level of economic development of administrative-territorial units. Timely consideration of the impact of exogenous and endogenous factors on budget sustainability will contribute to the development of sound budget architecture. Accordingly, in modern conditions, it is advisable to strengthen decentralization processes. The tasks of improving the quality of development of the system of inter-budgetary relations became important. Formulation of the problem. Important tasks in the current conditions of development of the system of state and local finances are: strengthening the financial base of local governments; delimitation of expenditure powers between public authorities and local governments; equalization of disproportions of socio-economic development of administrative-territorial units; search for alternative sources of local budget revenues; optimal choice of fiscal instruments and levers; optimization of the structure of revenue and expenditure powers of local governments. Analysis of recent research and publications. Problems of development of the system of interbudgetary relations in the conditions of budgetary decentralization are quite widespread in scientific researches. These are the works of famous domestic and foreign scientists: J. Keynes, P. Samuelson, J. Stiglitz, V. Tanzi, O. Kirilenko, I. Chugunov and others. Selection of unexplored parts of the general problem. The above issues are relevant in connection with the deteriorating trend of economic development, which requires a number of specific tasks related to the development of financial instruments of the system of intergovernmental relations. Problem setting, research goals. The objectives of the study are: to reveal the role of the system of inter-budgetary relations in the regulation of socio-economic development of administrative-territorial units; substantiate the features of the system of intergovernmental relations in modern conditions; to analyze and estimate revenues and expenditures of local budgets. The aim of the study is to reveal the directions of development of the system of inter-budgetary relations in the conditions of budget decentralization. Method or methodology of the study. The article uses a set of research methods: a systematic approach, statistical analysis, structuring, synthesis, etc. Presentation of the main material (results of work). The role of the system of inter-budgetary relations in the regulation of socio-economic development of administrative-territorial units is revealed. The peculiarities of the system of intergovernmental relations in modern conditions are substantiated. The analysis and estimation of incomes and expenses of local budgets is carried out. The directions of development of the system of interbudgetary relations in the conditions of budgetary decentralization are determined. Field of application of results. The results of the study can be used in the process of forming and implementing budget policy. Conclusions according to the article. The validity of the budget policy in terms of inter-budgetary relations is an important condition for achieving national socio-economic interests. The economic crisis caused by the coronavirus epidemic and the general reduction in the growth rate of revenues to local budgets have exacerbated the problems associated with the development of the system of intergovernmental relations. Given the transformational processes of development of the domestic economy, the issues of developing new and improving the existing financial and budgetary tools for regulating intergovernmental relations are important.

Assessment of freight traffic flows and harmful emissions in euro-mediterranean context: scenario analyses based on a gravity model

Maritime transport contributes significantly to environmental pollution. The Mediterranean Sea Area is particularly affected by marine emissions from particulate matter, black carbon, nitrogen oxides and sulphur oxides. In addition to international and crossing traffic, the Mediterranean Sea is affected by the freight flows moved between its shores (in the North–South direction and vice versa), but also by transverse freight flows (East–West); these are freights transported through Short Sea Shipping. The Mediterranean Sea is the area where there is the highest concentration of short sea shipping in the EU-27. There are different types of Short Sea transport: container and bulk handling, general cargo ships and Ro-Ro transport. In such scenario, the analysis of trade flows as well as their spatial and geographical distribution, becomes fundamental. The paper proposes a gravity model for estimating trade flows, considering 18 countries boarding the Euro-Mediterranean Sea, in 2019. The proposed gravity model assumes that one of the main factors affecting trade is the economic dimension of a country which is directly related to the volume of imports and exports. In the paper, after a literature review on the gravity models, the illustration of the different phases investigation and construction of the database (specification, calibration and validation) to the definition and implementation of the proposed model is proposed. Scenario analyses are therefore proposed for assessing the environmental impacts generated by maritime transport in the Mediterranean basin as the freight flows vary. The analyses are carried out using a simulation approach which, starting from hypotheses on the economic and social development trends of the countries of the southern shore, made it possible to evaluate the variations in terms of freight flows and environmental impacts in terms of pollution.

Глобальні пріоритети у формуванні освітнього середовища

Abstract. Introduction. The authors study the essence, features and priorities of the educational environment, taking into account globalization trends and world development, focus on the possibility of accelerating the process of retraining. The authors prove the importance of the educational environment in the global society and the need for interaction between educational institutions, employers and society, including in view of the social responsibility of business. The authors set the main global priorities in the formation of the educational environment, taking into account the impact of migration processes,technology development, trends in the spread of "green economy", the digitalization of society. The current needs of employers and interaction with world trends in economic development are analyzed. The authors set the main priorities in the development of the educational environment in view of the tasks set by the World Economic Forum in 2022 and the need to expand the scope of global partnership, the use of best practices in the field of retraining. The connection with technical and technological changes and the development of artificial intelligence is proved. Purpose. The aim of the authors' research is to substantiate the essence and priorities in the development of the educational environment taking into account globalization, global trends and needs of employers, the need to ensure effective partnerships, accelerate retraining, personal adaptation to change. Results. Current global trends reflect the need to expand the scope of educational services to meet the needs and interests of the individual, as evidenced by analysts at the World Economic Forum. Changes in approaches to the provision of knowledge and skills are due to trends in digitalization of processes and the Internetization of areas of activity. The World Economic Forum highlighted the issue of working on skills that are relevant to employers and need to accelerate the retraining process, which confirms the need to set appropriate priorities in the educational environment. It is determined that the stimulation and development of the educational environment is an investment in the future with a focus on innovation and personality. Conclusions. The authors proved that the implementation of the tasks in the global educational environment should be focused on practice-oriented learning and providing opportunities for competencies that will contribute to the adaptation and socialization of the individual to global change. The authors determined that the focus on common competencies will contribute to the adaptation of the individual to changes in the global world. Accelerating trends in technology development, digitalization and Internet, as well as migration processes encourage the introduction of changes in the educational environment and the use of mechanisms for training and .retraining

Correlation Analysis of China's Foreign Trade Structure and Industrial Structure Based on Correlation and Mutual Influence.

In recent years, China's foreign trade has continued to develop and achieved remarkable results, and the economic development trend has been steady and positive overall. However, although there are new opportunities for the development of China's foreign trade, it also faces new challenges and dilemmas. Therefore, in the current international trade situation, it is of great significance to study the impact of China's foreign trade on industrial structure and find the key points for the development of endogenous economic dynamics on this basis. China's industrial structure has undergone a clear process of upgrading and is a major trading country for industrially manufactured goods. The results of the analysis of the subsectors show that the trend of structural upgrading within the industry is equally significant. At the same time, there is often a significant trend of synergistic changes in the percentage of processing trade and the percentage change of trade in high-tech products. Based on this, this paper analyzes the correlation between China's foreign trade structure and industrial structure based on the correlation of mutual influence. The evolutionary algorithm has the advantages of a strong ability to search for global optimal solutions and good robustness, which is applied as the core algorithm of this paper. The study in this paper examines the interaction between industrial structure and trade structure from the perspective of matching the association between industrial structure and trade structure on the basis of measuring the industrial structure and trade structure at the regional level. The experimental results demonstrate the validity of the model in this paper.

The current state and trends of economic development of dairy and beef cattle breeding in the region

The current state and trends of economic development of dairy and beef cattle breeding in the region

The Relationship between the Degree of Urban Intelligence and the Performance of Enterprises in the City Based on Artificial Intelligence and Soft Computing

With the rapid development of Internet technology, artificial intelligence and soft computing are gradually applied in various fields. Through active transformation, many companies use artificial intelligence, software computing, and other technologies to develop sales channels, improve corporate performance, and obtain greater benefits. However, some traditional enterprises have been gradually eliminated by the market because they have not rapidly transformed and improved their intelligence. Urban intelligence is the trend of urban economic development, and the degree of intelligence in a city is closely related to the number and scale of intelligent enterprises. In the context of artificial intelligence and soft computing, this paper expounds the relationship between enterprise performance and the degree of urban intelligence and analyzes the key factors affecting enterprise performance and the impact of enterprise performance on the degree of urban intelligence. The results show that Internet technologies such as artificial intelligence and soft computing can improve the performance of enterprises, thereby improving the level of intelligence in cities.

Assessing the Green R&D Investment and Patent Generation in Pakistan towards CO2 Emissions Reduction with a Novel Decomposition Framework

Energy plays an imperative role in global economies, such that products and services are generally dependent on energy use. This study leads to the application of environmental policies under green research and development (R&D) investment in Pakistan. Existing research has tried to analyze the effects of R&D investment associated with patent applications using the logarithmic mean Divisia index (LMDI) method called PATENT. The objective of this method is to examine the variations in R&D activities motivated by the reduction of fossil fuel power. The research contributes the following: (1) the R&D reaction is the main factor in raising the number of patent applications, while R&D efficiency needs more enhancements. (2) Reaction and production effects are imperative in raising the number of patent applications during the study period. (3) R&D expenditure presents a significant rise in renewable energy technologies (RETs), by 6.7% yearly, which ultimately impacts the economy, sustainability, and the environment. (4) Energy intensity shows a lowering trend in economic development, which confirms that that share of energy will decline, and that Pakistan will move towards significant contributions. Finally, the results show that raising R&D investments, technology transfer and engendered measures are the authentic approaches to Pakistan’s environmental and economic development. Based on the analyzed method, the study recommends that environmental regulation policies’ efficiency be incremented by investing and joining them with RETs. Furthermore, the concerned policies linked with the estimated outcomes are provided below.

Прекаризация занятости в цифровой экономике

Introduction. Precarization of employment has become one of the objective and significant manifestations of the employment processes transformation in the digital economy, while it is rapidly expanding and becoming more complex. The increase in upward precarization, depending on the degree of digitalization processes development and economic turbulence, indicates that it has acquired the qualities and characteristics of a clearly dominant trend in modern economic development, which has already become a reality for different categories of employed and which all participants and contractors of the labor market – employees and employers – have to reckon with. Precarization of the employed is a relatively new and therefore only fragmentally studied phenomenon not only for the global labor market, but also for the Russian labor market, where it has its manifestations and features. All this in general determines the relevance of the research topic. Theoretical analysis. The study of various aspects of precarization of employment in the digital economy as a stochastic system – its content, causes, main manifestations and related consequences, externalities – is of scientific interest. Particularly significant in epistemological and ontological aspects is the analysis of the reasons for the intensification of precarization processes in digital economy in relation to Russian conditions, namely, the reduction of jobs, the excess of the need for new specialists over the capabilities of the modern education system, the transition to the platformization of labor processes, the expansion of the short-term contracts economy. Results. Active processes of precarization in the digital economy create conditions for the formation of new employment standards and new competencies of the employed.

Development of a New Method for Obtaining the Bioplastics Based on Microbial Biopolymers and Lignin

Background. The ever-increasing demand for plastic polymer products with simultaneous depleting fossil fuels such as oil and natural gas, as well as the growing problem of waste disposal, creates a need to find alternative technologies that meet current trends in both environmental and economic development. Bioplastic materials that are synthesized from renewable sources and have the ability to biodegrade are considered as such an alternative. The main obstacle of modern bioplastics which makes it impossible to completely replace traditional plastics is the high cost of production. In order to reduce the cost of existing biopolymers, production waste is added to the polymer matrix. One such waste is lignin – the second most common biopolymer. An additional way to reduce the cost of production is to find more cost-effective producers. Thus, although the classical microbial synthesis has fairly high productivity, the source of carbon for the cultivation of microorganisms are sugars obtained from agricultural raw materials which could cause a threat for food industry. The new producer for production of polyhydroxyalkanoates (PHA) is cyanobacteria, the carbon source of which is carbon (IV) oxide or gas emissions from enterprises, which reduces the cost of the target product. Objective. Development of a method for obtaining bioplastics using products of microbial synthesis and lignin. Methods. Cyanobacteria Nostoc commune was grown using a nutrient medium BG-11 with subsequent limitation of Nitrogen for the synthesis of PHA. Hydrolyzed lignin from hardwoods was combined with polylactic acid (PLA) or cyanobacteria-synthesized PHA in different ratios with further casting of the solution to determine the ability of lignin and polymer matrix to form polymer films. Results. The content of PHA in the cells of cyanobacteria Nostoc commune, when grown in a nutrient medium limited to Nitrogen, reached 7.8%. The synthesized polymer films based on PLA and lignin were not homogeneous, and films based on PHA and lignin were fragile. Conclusions. The possibility of obtaining PHA by using cyanobacteria of the Nostoc commune species under environmental conditions that differ from the optimal ones for both cultivation and PHA production is shown. The possibility of obtaining a biopolymer based on lignin and PLA is shown. To form homogeneous films, it is necessary to change the standard conditions for obtaining a mixture of components. The interaction of lignin with PHA forms a homogeneous polymer mixture, which is fragile and requires the addition of plasticizers to obtain the necessary properties.

Support Vector Machine-Based Nonlinear Model and Its Application in Regional Economic Forecasting

The regional economic potential is affected by too many entities and large dynamic changes in the economic structure, resulting in large errors in the prediction obtained by the traditional economic potential development prediction method. Therefore, this paper puts forward the regional economic development potential prediction model with the concept of decision domain, solves the nonlinear characteristics of regional economic impact indicators by using the traditional support vector machine, and obtains the economic prediction data. The decision domain method is introduced in the decision-making process to construct the decision domain of training economic-related data sets. The experimental results show that compared with other prediction models, the model proposed in this paper has higher regional economic prediction accuracy, 2% higher than the baseline method, can quickly and accurately predict the potential trend of regional economic development, and has important application value.

Prediction Algorithm of Digital Economy Development Trend Based on Big Data

With the development of economic globalization, people have higher requirements for economic analysis and prediction, while the prediction accuracy of the traditional economic analysis and prediction model is quite low. Therefore, with the adaptation of the times, the “big data and artificial intelligence” technology is presented for researchers and data analysts. Based on the “big data and artificial intelligence” technology, economic analysis and prediction have unique advantages in many aspects. This study analyses the impact of “big data and artificial intelligence” technology on economic analysis and prediction. Based on the mean square error criterion, the variable selection method for constructing the interval data model is given. The interval financial time-series data of stock market, fund market, futures market, and money market are used to predict and analyze the macroeconomy, and the macroeconomic interval prediction method is given, which is different from the traditional point data model. The empirical results show that the Shenzhen Component Index, Shanghai fund index, futures market transaction amount, and narrow money supply in the interval financial data have little fitting error to the macroeconomic interval prediction model. Through the first mock examination, we get the macroeconomic forecasting model based on interval financial time-series data. We also use the single model structure and the combined model structure to give the macroeconomic change interval of 2020–2023 years in China. The experimental research results show that the proposed model has good performance in the prediction of economic development trends and that it can be used for forecasting subsequent economic development forecasts.

Resilient City: Characterization, Challenges and Outlooks

The increasingly severe environmental pollution and the Earth’s ecological crisis make the concept of resilient cities (RCs) a hot topic in urban research. We ran a bibliometric analysis to analyze the research progress, areas, hotspots, and strategies pertaining to RCs. The core collection came from the Web of Science (WoS) database as the data source to explore 4462 literature works on RCs. The results revealed that development time series analysis is divided into three stages. Changes in the number of publications are linked to natural disasters, the ecological environment, and science policy. The top five issuing journals accounted for 24.15% of the total sample. Country cooperation mainly is concentrated in countries with good economic development trends, such as the United States, China, and the United Kingdom. There were 63 core authors. The most published research institution was the Chinese Academy of Sciences. The RC research hotspots included the definition of resilience and evolution, the study of resilience as an analytical framework for urban issues, and resilience assessment indicators. This paper shows that RCs should strengthen multi-country cooperation and interdisciplinary integration and should focus on comprehensive research on basic theories, evaluation systems, and action mechanisms to reference future research on RCs further.

Construction and Path Analysis of Enterprise Green Technology Innovation Model Using Data Mining

With the rapid increase of resource consumption and ecological protection demand, the economic growth model of China has also changed to focus on efficiency and quality. In the future, the circular economic model will be the main direction of sustainable development. According to the analysis of international development trends, green consumption has become the development trend of the times. Some developing countries also put forward the concept of green trade in the process of trade. It results in a severe living environment and challenges for some Chinese enterprises. For this challenge, China should grasp the economic development trend and change the business model by adopting the green technology innovation model. It will reduce consumption and pollution, improve efficiency, and, also, build the enterprise green technology innovation model to greatly improve the production efficiency and resource utilization of the enterprises. This paper uses data mining technology to establish a mathematical model of cluster analysis. It describes the process of enterprise technological innovation in detail and analyzes the power source of enterprise technological innovation and several commonly used models. Through this model, the enterprise technological innovation ability can be comprehensively improved. It focuses on the analysis of the enterprise green technology innovation path based on data mining. It analyzes the enterprise green technology innovation path from the points of reducing transaction costs and improving the allocation efficiency of innovation elements. According to this path, the enterprise transaction costs can be reduced to a certain extent and the allocation efficiency of enterprise elements can also be realized.

Heterogeneous Impact of Economic Policy Uncertainty on Provincial Environmental Pollution Emissions in China

With China’s proposal of carbon peak and carbon neutral goals, its trend of economic development has shifted from pursuing high-speed economic development to high-quality development. However, for the past few years, with the increasing global economic policy uncertainty, fluctuations in the world economy, especially emergent through public events such as COVID-19, affect investment and consumption, and thus indirectly affect the realization of the dual carbon target. Economic policy uncertainty plays an increasingly important role in many factors affecting environmental pollution. We conducted an empirical test on sample data, which are from 30 provinces and autonomous regions in China from 2008 to 2020, to further study the impact of economic policy uncertainty on environmental pollution emissions. We found that: (1) Economic policy uncertainty is inversely related to the emission of environmental pollution, and the consumption effect brought by economic policy uncertainty is more than the investment effect. This means that, with the economic policy uncertainty index increasing, the comprehensive index of environmental pollution emissions is lower, and the environmental pollution emissions are lower; (2) Compared with provinces with an average level of economic development, the impact of economic policy uncertainty on environmental emissions is deeper in developed provinces.