Average Annual Growth Rate Research Articles

Global research into the relationship between electronic waste and health over the last 10 years: A scientometric analysis.

The aims of this research were to conduct the first holistic and deep scientometric analysis of electronic waste and health and provide with the prediction of research trends and hot topics. A comprehensive literature search was conducted via the Web of Science Core collection databases on 26 August 2022 to identify all articles related to electronic waste and health. A total of 652 records have been extracted from the Web of Science after applying inclusion and exclusion criteria and were analyzed using bibliometrix software of R-package, VOSviewer, and CiteSpace, visualized by tables and diagrams. The number of publications and total citations had shown a general growth trend from 2012 to 2021, with an average annual growth rate of 23.74%. Mainland China was the significant nation with the greatest number of publications, citations, and international links. The journal publishing the most was "Science of the Total Environment" (n = 56). Huo X and Hu XJ were the top two author contributing to this field with the highest h-index (23). Over time, the focus in this field shifted to exposure to heavy metal, polychlorinated biphenyls, polybrominated biphenyl ethers, and poly- and perfluorinated alkyl substances from electronic waste, and managements, such as hydrometallurgy. By this scientometric analysis, we found that the most active country, journal, organization and author contributing to this filed, as well as high impact documents and references and research hotspots. Also, we found that the hotspots might be exposure to toxic substances from electronic waste procession, its impact on human health and relevant managements. And evironmentally friendly materials to replace heavy metal mate rials, and environmentally friendly and effective recycling methods of electronic waste need to be further studied.

Audit of the effectiveness of the organic farming development in European countries

The article presents the results of the audit of the development of organic production in the EU countries using the example of Poland. It is noted that today Poland is significantly behind the average level in the European Union, where the share of organic land is 8.1%. It has been proven that in order to reach the level of other EU countries by the end of 2030, the average annual rate of growth of organic and transitional lands should be at least +11.2%, and the share of transitional lands in them should be 25.1%. It is noted that the strategic goal of the EU by 2030 is to convert a quarter of all agricultural land into organic. In this case, the average annual rate of growth of the corresponding areas in Poland should be +22.8%, and the share of transitional lands in them should be at least 40.6%. It is calculated that, given the relatively low level of productivity, Poland can achieve this level only through state support and the creation of additional financial incentives

A Review of Studies Using Japanese Nationwide Administrative Claims Databases.

Administrative claims databases are increasingly being used worldwide for research purposes. We reviewed original published articles that used one of the four nationwide administrative claims databases in Japan: the National Database of Health Insurance Claims and Specific Health Checkups (NDB), NDB Open Data, the JMDC Claims Database, and the Diagnosis Procedure Combination (DPC) database. Studies published from January 2010 to July 2022 using the JMDC and DPC databases, and from January 2013 to July 2022 using the NDB and NDB Open Data were identified using PubMed. The number of original articles was divided into 19 fields. The annual growth rate of the number of studies was calculated using the four databases. Overall, 1047 studies were included (95 for the NDB, 31 for the NDB Open Data, 222 for the JMDC database, and 699 for the DPC databases). Studies using one of these four databases increased from around 2010, and the average annual growth rate was approximately 41% from 2010 to 2021. DPC database studies had a higher proportion of articles on surgery (19.2%), urology (3.0%), neurosurgery (6.2%), anesthesiology (1.9%), and emergency medicine (14.0%), whereas the NDB and JMDC data had higher proportions of those regarding internal medicine. Since 2010, these four databases have increasingly attracted attention, and the number of studies using them has grown rapidly. Our review suggests that each has unique features, and researchers should understand the database characteristics to operate their studies.

National Estimates of Narcolepsy in Korea

Epidemiological data on narcolepsy are rare in South Korea. We aimed to provide an overview of the burden of narcolepsy and its temporal trend in South Korea. Patients with narcolepsy were identified by their registration in the Rare and Intractable Disease (RID) register and the Health Insurance Review and Assessment database. Individuals registered in the RID program with the code V234 were considered as having 'definite narcolepsy', while those who claimed health insurance with G47.4 as the primary diagnostic code were considered as having 'probable narcolepsy'. We estimated the annual prevalence, incidence, and medical costs of narcolepsy between 2010 and 2019. The prevalence of definite narcolepsy was 8.4/100,000 in 2019, peaking at 32.0/100,000 in those aged 15-19 years. The prevalence was higher in males, with a relative risk of 1.72. The prevalence has increased over the past 6 years, with an average annual growth rate (AAGR) of 12.2%. The prevalence of probable narcolepsy was 10.7/100,000 in 2019. The incidence of definite narcolepsy increased up to 1.3/100,000 in 2019 with an AAGR of 7.1%. Annual medical expenditure for definite narcolepsy gradually increased up to 4.1 billion KRW in 2019, with a compound annual growth rate of 11.9%. This study has provided the first nationwide estimates for narcolepsy in South Korea. The prevalence of diagnosed narcolepsy in South Korea was at the low end of the range of narcolepsy prevalence rates reported for other countries. However, the prevalence and incidence have been steadily increasing over the past decade.

Temporal and spatial evolution and influencing factors of urban ecological total factor productivity in the Yellow River basin under strong sustainable development.

A growing consensus worldwide has indicated the need to protect the ecological environment and achieve sustainable development. Ensuring ecological protection and high-quality development of the Yellow River basin have become China's major national strategy. We reviewed extant literature, summarised government reports and guidance documents on the Yellow River basin, and proposed introducing a strong sustainable development theory into the study of total factor productivity (TFP). The spatial-temporal evolution and influencing factors of urban ecological TFP in the Yellow River basin are of great practical significance. We proposed a new ecological TFP indicator: the modified input-oriented Luenberger productivity indicator (MIL). Using panel data from 78 cities in the Yellow River basin during 2003-2019, we measured the urban ecological TFP. We adopted the geographic information system tool and kernel density estimation to analyse the temporal and spatial evolution of the indicator, as well as its spatial effects and influencing factors, using the global Moran's I index and dynamic spatial Durbin model (SDM). Our results show that, during the sample period, our indicator increased in cities in the region with an average annual growth rate of 0.627%, driven by technological progress. The average annual growth rate in urban areas showed a decreasing distribution of 'downstream-midstream-upstream'. Fiscal decentralisation (FD), industrial structure (IND), financial development (FIN), urbanisation level (URB) and research and development (RD) investment improved growth rates in this and the adjacent regions through direct and indirect effects. However, environmental regulation (ER), opening level (OPEN) of cities and population density (POP) were obstacles to TFP growth.

Catching Up and Overtaking Growth of Developing Countries: Dimensions, Factors, Problems and Prospects. Part 1

Due to the significant success of several dozen developing countries (DCs), which have embarked on the path of export-oriented industrialization, the DCs on the whole have noticeably overtaken in recent decades the advanced economies (AEs) in terms of the average annual growth rate (AAGR) of per capita GDP (PCGDP), share in world GDP growth, global investment spending and its effectiveness and labor productivity dynamics. According to the Augmented Human Development Index (AHDI), the gap between the AEs and the entire group of DCs has narrowed in 2000–2022 from 3.5 to 2.1 times. However, DCs are highly differentiated and have many problems. The Arab countries (ACs), Sub-Saharan Africa (SSA) and Latin America (LA) were catching up in 2000–2022 to the level of the AEs’ AHDI on the whole twice as slow as China, India and a number of other Asian DCs. The proportion of the poor in SSA and South Asia is on the whole 2.5 times higher than in other DCs. In 2000–2022 the AAGR of total factor productivity (TFP) for ACs, SSA and LA was on the whole three times lower than in Asian DCs. While in the AEs the total outstanding debt to GDP increased in 1980–2022 1.9 times, in DCs it rose 2.3 times to 210%, incl. in China up to 290% of GDP. In the context of growing geoeconomic and geopolitical rivalry in the world, in which the fourth technological revolution is unfolding (with the massive use of robots, super-powerful computers, artificial intelligence), DCs, if they want to stand up to these challenges, should substantially intensify efforts aimed at reducing the high level of inequality, improving the quality of human capital and upgrading government effectiveness.

Housing inequality in relation to housing tenure: Evidence from Ho Chi Minh City

Unfair distribution of social resources, including valuable assets such as housing, leads to inequality and threatens the sustainable development of countries. This phenomenon is a hot issue, attracting the attention of many researchers worldwide. Ho Chi Minh City is considered one of the economic-financial centers of Vietnam, with a high average annual GDP growth rate, rapid urbanization, and the flow of migrant workers to live and work has increased rapidly in recent years. Although many achievements are based on outstanding developments, Ho Chi Minh city has faced many difficulties in housing policy due to the limited urban land fund, colossal population, and housing prices many times higher than the residents’ income. It is shown that there are difficulties in access to affordable housing in Ho Chi Minh City, especially for the population's low- and middle-income segments. This creates inequality and considerable pressure on housing development policy in urban areas. The article uses OLS regression to analyze issues related to housing inequality in Ho Chi Minh City in the relaion to living space and homeownership, then gives some implications for housing policy toward improving the quality of living standards in terms of residential conditions. Research data is taken from a survey of 700 households in Ho Chi Minh City conducted by the author in 2020. The results show that household income, working time, age, education, household size, and a household with small business activity at home affect the household living space area. In addition, these factors have different impacts on families with housing tenure. The author believes that in the future, the government should focus on improving education, providing stable jobs, and planning suitable housing places to ensure equitable distribution of social resources, including housing.

Analysis of the market structure and development trend of China's mobile game industry

In recent years, the rapid development of China's smart phone and mobile network business has laid the foundation for the development of the mobile game industry, and the sales revenue of China's game industry market in 2021 reached 296.513 billion yuan, an increase of 17.826 billion yuan over last year, a year-on-year increase of 6.4%, and a foreign growth of 16.6%. From 2014 to 2020, the average annual compound growth rate of the game industry market size was as high as 40.3%. The high profit margin and low entry threshold of the mobile game industry have also quickly attracted a large number of high-quality Internet companies to lay out the track, and the head Internet companies Tencent and NetEase occupy nearly seventy percent of the market share, and the oligopoly trend is becoming more and more obvious. This paper analyzes the efficiency and future development trend of the market behind the high concentration by studying the current situation, market structure and competition pattern of the game industry, and the results show that China's mobile game market is huge in scale, high concentration, obvious trend of games going overseas, and under the strict policy supervision environment, many giant enterprises have chosen the development strategy of high-quality products to promote the healthy development of the game industry.

ПРОМЫШЛЕННОЕ ПРОИЗВОДСТВО В СТРАНАХ ЕВРАЗИЙСКОГО ЭКОНОМИЧЕСКОГО СОЮЗА И СОСТОЯНИЕ ВЗАИМНОЙ ТОРГОВЛИ

Identifying the competitive advantages of the EAEU countries within the framework of mutual industrial and production cooperation, leveling emerging problems and searching for new opportunities are important for the active development of the economies of each state, using the existing potential, creating an independent fundamental and sustainable industrial base. According to the official statistics of the Eurasian Economic Commission, the total gross domestic product of the countries of the Eurasian Economic Union for the period from 2017 to 2022. increased by 44%, amounting to 2.6 trillion US dollars. The average annual GDP growth rate of the EAEU countries for the period from 2017 to 2022 amounted to about 1.5%. The highest share of industrial production in the gross domestic product (hereinafter referred to as GDP) in the countries of the Eurasian Economic Union (over 50%) is noted in the Republic of Belarus (88–89%), as well as in the Russian Federation (64%). The average level of industrial specialization in the structure of GDP is noted in Kyrgyzstan (44–46%), in Kazakhstan (42–47%), and also in Armenia (33–32%). On average, in the Eurasian Economic Union, the largest share in industrial production belongs to the manufacturing industry (64–65%), followed by mining (24–27%), electricity, gas, steam and air conditioning (7–9%), as well as water supply (1.7–2.0%). In order to integrate the joint industrial capabilities of the EAEU, to intensify work to create conditions for the development of union cooperation, an industrialization map was created in 2019. In modern conditions, it is necessary to strengthen innovative technological cooperation between the EAEU countries, joint production of machinery, machinery, equipment, increase the production of electrical equipment, metallurgical, leather and footwear, textile, knitwear and food industries in a closed cycle. In addition, it is important to conduct joint scientific research and develop measures to stimulate cooperation, including the creation of joint technological platforms, industrial clusters, the involvement of small and medium-sized businesses, the formation of cooperative chains for the production of joint products based on territorial and geographical opportunities.

The dynamics of population change in Eastern Serbia from the midlle of the 20th to the beginning of the 21st century

Despite considerable natural resources and a favourable geographical location, all indicators of population trends show declining tendencies, which were indicated much earlier than they were recognized as a demographic problem. The aim of the article is to explore the dynamics and intensity of population change in Eastern Serbia, but without analytical approaches to the components of population dynamics. The chosen temporal and spatial coverage of the research is in accordance with the methodological approach, which provides for the application of the comparative-statistical method to as many spatial units as possible, in order to determine the spatial dispersion of the indicators of population growth. The data sources in this research are censuses, and the presented indicators of population growth were derived according to the methodology of demographic research. The obtained results show a weak increase in the population of Eastern Serbia from 1948 to 1961, since then the values of the growth indicators stagnate for a short time and then decrease continuously. In the whole observation period from 1948-2011, the growth index shows a 21% decrease in the population of Eastern Serbia. The average annual growth rates of the population in Eastern Serbia were lower than the average annual growth rates of the total population of Central Serbia in all intermediate census periods until 2011, and this difference is even more pronounced if the City of Nis is excluded from the total population of Eastern Serbia. Although the dynamics of population growth in Eastern Serbia in the period 1948-2011 is characterized by linearity (either in the form of increase or decrease), it is striking that not all parts of the country participate equally. Only 4 municipalities and the City of Nis recorded an increase in population, while in the other 20 municipalities the population decreased. In 10 municipalities depopulation was already recorded in 1953-1961.

Strategic scenarios of post-war recovery of sustainable development of Poltava region of Ukraine: innovative and environmental aspects

The state and strategic scenarios of restoration of sustainable development of Poltava region of Ukraine in the post-war period are studied. To develop a strategic plan for the recovery of the Poltava region, a modern methodology of strategizing (scientific and strategic foresight) is used according to the principle “the future is determined by the trajectory into the future” and three strategic scenarios have been developed until 2027: realistic, optimistic and the scenario of entering the optimal zone of the EU countries, which correspond to the average annual growth rates of real GRP -4.94, -0.72 and 4.1%. The contribution of innovative factors to the economic growth of the region was determined using the modified Cobb-Douglas function and the Solow residual method, which prove the averaged contributions to economic growth: scientific and technological progress STP -3.7; labor 3.1; capital 0.38; production manufacturability 1.57; innovations 0.31%. The strategic dynamics of indicators of innovation and environmental safety on the trajectory of sustainable development are scientifically substantiated and the main threats are identified. The proposed methodology of adaptive response to threats of the environmental subsystem gives possibilities to preserve its stability and balanced sustainable development.

Development Status and Carbon Dioxide Emission Forecast of Power Industry in Guangxi

This paper uses the Long-range Energy Alternatives Planning(leap) system model to predict the carbon dioxide emissions of the power industry and calculate the carbon peak platform period of the power industry in Guangxi, which is based on the development status of the power industry and the energy and power development plan in Guangxi during the "14th Five-Year Plan". The results show that the power structure of Guangxi is at an excellent level in the country. In 2021, the installed proportion of clean energy is 55.1% (the national average level of 44.7% in 2020), and the proportion of thermal power generation is 55.7% (the national average level of 68.5% in 2020). With the strong economic recovery , the demand for electricity in Guangxi will continue to increase. By 2025 and 2030, the electricity consumption of the whole society will reach 2.9 ×1012 kW•h and 3.7×1012 kW•h, respectively, with an average annual growth rate of about 7.1% and 5.3%. The installed power generation capacity will reach 9.4 ×107 kW and 1.5 ×108 kW, respectively. The power generation will reach 3.0 ×1012 kW•h and 4.2×1012 kW•h electricity, respectively. However, Due to the influence of resource endowment, meteorological conditions, energy storage technology and other constraints on non-fossil energy power generation, it is difficult to achieve large-scale replacement of traditional energy power generation in a short term. It is estimated that coal power production will account for 45% and 30% of the total power generation respectively in Guangxi by 2025 and 2030. Coal power will continue to be the main provider of power security for a long time in the future. Therefore, according to the current situation of power development planning, it is estimated that the carbon emission of Guangxi will reach 9.2×107 t by 2030. The carbon peak platform period of power generation industry will appear in 2029 to 2032, with a peak value of 1.1 × 108 t.

Analyzing the Trends and Causes of Birth Defects - Jinan City, Shandong Province, China, 2005-2022.

Numerous studies conducted in China have reported on the prevalence of birth defects (BDs). However, the limited surveillance periods in select studies curtail comprehensive trends and cause evaluation. Accordingly, the surveillance duration of BDs is extended, and a comprehensive analysis of their prevailing trends is conducted to provide a basis for government intervention and policy implementation. There is a distinct increase in the incidence of BDs observed in Jinan. In rural areas, a pronounced upward trend was observed, and the increase was more rapid than in urban areas. BD prevalence among mothers over 35 years old and under 20 years old was substantially higher than BD prevalence rates in other maternal age brackets. Specifically, the period from 2005 to 2022 saw the prevalence of congenital heart disease surge, the fastest average annual growth rate among all birth defects. It's essential to prioritize pregnant women in rural areas and those at both ends of the maternal age spectrum. Implementing comprehensive initiatives is crucial to address the high prevalence of congenital heart disease.

Retracted] Parameter Optimization and Performance Analysis of Composite Substance That Can Prevent Burning Based on Machine Learning

In the past 30 years, a substance that can prevent burning has played an important role in reducing the loss of life and property caused by fire. At present, the total amount of antibaking agent is second only to plasticizer and various plastic additives in the world. With an average annual growth rate of 0.5% from 2019 to 2021. The fire protection industry is a regulatory industry and a globally competitive industry. Therefore, the entry into force and gradual improvement of relevant laws and regulations at home and abroad will affect the pattern of the whole fire protection industry. China’s “Twelfth Five‐Year Plan” will bring a substance that can prevent burning into key development industries and form a strategic alliance for technological innovation of green substance that can prevent burning industries. It provides a policy platform for the development of a substance that can prevent burning in industry. Firstly, we introduce several common a substance that can prevent burnings, then we use machine learning method to establish prediction model and to analyze the performance of composite combustibles. And draw the conclusion: composite material is better than the other two composites; among the six machine learning algorithms, the gradient boosting regression (GBR) model has the best prediction ability, followed by the extra tree regressor (ETR) model and the random forest regressor (RFR) model. Compared with the above three integrated algorithms, Ridge, Ada Boost regressor (ABR), and Lasso regression algorithms have relatively poor prediction results.

Editorial: The new global marketplace — Exploring business management issues in emerging markets

We are pleased to present the recent issue of the journal “Corporate and Business Strategy Review”. In the last few decades, there has been growing interest in diverse areas of management scholarship in emerging economies (Kiss et al., 2012; Meyer & Peng, 2016). A factor informing this interest is the rapid economic growth of these countries (Luo et al., 2010). Emerging economies such as China, India, Brazil, and Russia have experienced significant economic growth in recent years, propelled by foreign investment, exports, and domestic consumption (Koepke, 2019). China, for instance, has experienced an average annual growth rate of around 9% in the last four decades, while the corresponding figure for India is about 7%. This economic growth is shifting the balance of economic power from developed to emerging economies as these economies increasingly become key players in the global economy, both as markets for goods and services, and as sources of investment and capital (Luo et al., 2010; Koepke, 2019).

Анализ направлений межрегионального сотрудничества в модели союзного государства: на примере Брестской области

The development of the country's regions is ensured by realizing their resource potential. Interregional integration is especially important, in particular within the framework of the developing model of inter-country cooperation – the Union State of Belarus and Russia. A literary review of research works on problematic issues of interregional cooperation development, improvement of methodological approaches to assessing its effectiveness, and development of interregional integration mechanisms is presented. The research uses the methods of structural, and system analysis and index method. The paper presents the interaction results of Brest region of the Republic of Belarus with the regions of the Russian Federation, presents the dynamics analysis of the results achieved and forms a number of proposals for further development of interregional cooperation as a mechanism for competitiveness increase of the allied countries. The growth of foreign trade volume between Belarus and Russia in 2005-2021 was noted. The average annual growth rate for this indicator was 18.2% in Belarus and 13.6% in Russia. By the end of 2022, a record figure of 50 billion USD was registered for mutual trade turnover of Belarus and Russia. Cooperation in trade and economic, scientific and technical, ecological, socio-humanitarian and cultural areas of Brest region and the regions of the Russian Federation, as well as formation of joint production and technological complexes and development of cooperation forms in scientific and educational sphere in the concept of creating a single scientific and technological, and educational space are identified as promising for further development of interregional cooperation for 2023.

Agroecology as a strategic direction in the system of rational land use

Today there is growing demand for organic products principals to the growth in the production of ecological products and biologization of land. Traditional organic farming is a complex of elements of a reproductive nature with industry specifics and a set of elements. Agroecology does not involve the practice of biochemical vegetable defense product. The transition to organic farming requires agricultural producers to fulfill several conditions, which is an element that slows down the pace of development of both land biologization and the attractiveness of the organic products segment for producers. The Russian market is characterized by high average annual growth rates of organic lands; increasing the share of land for the production of organic agricultural products; unstable number of producers; stabilization of the volume of the internal market for organic products at the level of 120 million euro; stabilization of the export volume of organic products at the level of 4 million euro. Production of organic products is advisable in local product markets, since the production of organic products is a product with high added value, increased requirements for certification of organic products and a narrow segment of consumers.

Special Economic Zones of Russia: Forecasting Decisions of Potential Residents and Resident Generation Process Modeling

Modern studies widely discuss the role of special economic zones in stimulating the economic growth and development of Russia, generating the necessary investment flows and increasing the country's innovative potential by expanding production in high-tech sectors of the economy with high added value. The purpose of the study is to model the process of generating residents and to determine quantitative factors that have a statistically significant effect on the average annual growth rate of companies participating in special economic zones in the Russian Federation. The paper describes modern approaches to predicting the choice of potential residents to start doing business in the territory of the SEZ using classification approaches (Support Vector Machines, Decision Trees, Random Forest, Naive Bayes, K-Nearest Neighbor, Gradient Boosting) and regression approaches (logistic regression). A modern classification algorithm was applied in practice - Histogram-based Gradient Boosting Classification Tree, which is stable for analyzing large data with missing variable values and does not require preliminary sample transformation. The paper confirms the hypothesis that there is a positive relationship between the location of the organization and its financial result forming by the end of the year. On average, in the sample, resident companies located near the centers of the constituent entities of the Russian Federation are more successful in terms of generated revenue. The hypothesis that there is a strong relationship between indicators of spatial differentiation of the regions of the Russian Federation and indicators characterizing the process of generating residents and private investment has not been fully confirmed. From a practical point of view, the results of the study could be applied by both resident organizations, potential residents, and SEZ management companies. The theoretical significance of the study lies in the specification of the proposed binary choice model for potential residents, which can be expanded and generalized in future works. At present, there are all the necessary prerequisites for creating conditions for the development of industry, high-tech sectors of the economy and the production of high value-added products in order to increase the stability of the Russian economy.

Bibliometric Analysis of the Permafrost Research: Developments, Impacts, and Trends

Permafrost is a significant part of the cryosphere, which has gained increasing attention from scientists, policy-makers, and the general public due to global warming, environmental degradation, water shortages, and intense human activities. Although many permafrost research review articles have been published, these studies were predominantly limited to either one subject or one field, while systematic studies about permafrost based on bibliometric analysis methods remain limited. We aim to fill this gap by conducting a bibliometric analysis of 13,697 articles in the field of permafrost research from 1942 to 2021, collected from the Web of Science core collection database. The results indicate that permafrost research is a typically multi-author, multi-country, and multi-institution cooperative field, involved in many research fields. The cumulative number of publications has presented an exponential increase over the past 80 years, with an average annual growth rate of 10.40%. Since 2000, China has seen a rapid growth in the number of publications per year, surpassing the USA in 2016 and leading in the years since then. In addition, the authors from China have great contributions in publications, and there is good room for permafrost development in the future according to the authors’ M-index ranking. After the analysis of authors’ keywords, we found that, compared to the conventional methods, machine learning and interferometric synthetic aperture radar (InSAR) are new technological approaches introduced in recent years, and the Qinghai–Tibet Plateau has become a popular study area. The results presented here can help related researchers, scholars, and students in the field to better understand the past developments, current status, and future trends of permafrost research. Furthermore, this paper presents and expands the general process of the bibliometric method used in permafrost studies, which can provide researchers with new inspirations and improve discipline research approach.

Decarbonization scenarios and carbon reduction potential for China’s road transportation by 2060

The transportation sector is a crucial source of greenhouse gas emissions, and the degree of its low-carbon transformation is closely related to the achievement of China’s carbon neutrality. Based on high-frequency passenger vehicle sales data and motor vehicle real-time monitoring big data, we developed a low-carbon transition planning model of China road transport (CRT-LCTP) to explore the pathways toward carbon neutrality. The study found that although the number of new energy vehicles (NEVs) increased four times from 2016 to 2019, the average annual growth rate of road traffic emissions was still as high as 20.5%. The current transportation electrification may only reduce 0.6% of the total emissions in this sector, and it could be increased to 1.4% if the electricity completely came from clean energy. Under the enhanced policy scenario, the transport sector could peak its carbon emissions at around of 2030, with the peak level being 1330.98 Mt. Transportation electrification along could not meet the climate targets in 2060, and the continued inertia of fuel vehicles will slow the path of the road transport toward carbon neutrality, which depends on the forced elimination of fuel vehicles and more substantive decarbonization measures.