Economic Development Zone Research Articles

“无废城市”建设中的政府行为及优化路径研究——以B市经济技术开发区为例

“无废城市”建设中的政府行为及优化路径研究——以B市经济技术开发区为例

Analysis of Economic Growth Effects and Influencing Factors of Guilin Economic and Technological Development Zone

Analysis of Economic Growth Effects and Influencing Factors of Guilin Economic and Technological Development Zone

RESEARCH ON THE INNOVATION MODE OF INDUSTRY-EDUCATION INTEGRATION：A CASE STUDY OF AN INDUSTRY-EDUCATION PARK IN NORTHWEST CHINA

The integration of industry and education has attracted wide attention from all walks of life since it was proposed. Under the background of the integration of industry and education, some higher vocational colleges aim at training graduates with high comprehensive quality and strong practical ability, serve the local economic development as the orientation, and continuously provide high-skilled talents for various industries. An economic and technological development zone in Northwest China combines industrial characteristics, takes industry-education integration science and technology innovation park as the carrier, vigorously develops industry-education integration, innovates operation mode, collaborates education, and creates a new ecology of industry-education integration.

The special economic zone: A regulation of cross-border trading in a developing economy

Special economic zones (SEZs) have been used by many developing countries as a policy tool to promote industrialization and economic transformation (Zeng, 2021). This qualitative research aims to explain the readiness that drives the development of the Tak special economic zone of government agencies and entrepreneurs located in Mae Pa subdistrict, Mae Sot district, in Tak province of Thailand, in terms of both its social and economic aspects. In-depth interviews were conducted with ten key informants, employing purposive sampling. Content analysis and NVivo software were used to analyse the qualitative data. The findings revealed that the main obstacles and problems in developing the Mae Pa subdistrict special economic zone to achieve sustainability in the operation of government agencies are unclear bureaucratic regulations and a lack of legislation supporting the work of related agencies at the national and local levels. By inviting the prime minister to work groups in various committees, the government should prioritise the subdistrict administrative organisation. A town plan with the establishment of a centre for the integration of the Tak special economic development zone of each area based on public opinion, particularly among those who will be affected by this development, should be designed.

Effect of Economic and Technological Development Zones on Green Innovation

Green innovation is an effective way of solving the dilemma of the economy–environment trade-off. As an important innovation policy in China, national economic and technological development zones (NETDZs) play a significant role in promoting innovation, but empirical studies on their impact on innovation, especially green innovation, are scarce. In this study, the authors used highly disaggregated micro-level data such as patent data, industrial firm data, and customs data to examine the impact of NETDZs on green innovation. The results showed that: (1) NETDZs significantly promote green innovation, as measured by both patent quantity and patent quality; (2) the binding environmental indicators in China's five-year plan enhance the promotional effect of NETDZs on green innovation; (3) learning by importing, including through foreign direct investment and importing capital goods, is an important mechanism for the nexus between NETDZs and green innovation; and (4) compared with non-state-owned enterprises (non-SOEs), SOEs are relatively passive in terms of engaging in learning by importing.

Strategies for Building a Knowledge-Based Economy for Community Enterprises in the Eastern Economic Development Zone

This research aims to study the strategies for creating a knowledge-based economy for community enterprises in the Eastern Economic Development Zone. The study has been designed as a mixed method by developing the analysis of structural equation model through qualitative data and the quantitative data were derived from the survey of 300 community enterprises in the Eastern Economic Development Zone. They’re used descriptive statistics, inferential statistics, and multivariate statistics. The research instrument was a questionnaire and analyze data with Structural Equation Modeling: SEM. The data analysis program AMOS stipulates a multi-stage sampling method. It consists of group sampling procedures (Cluster-sampling) separating the populations into 3 areas. Then they’re used simple random sampling to obtain the required number of samples according to the desired proportion. The finding consists of three components that are important to the strategy for building a knowledge-based economy at a high level according to the Likert scale: namely, management components, new product development, and marketing. To assess the coherence of the structural equation model, the strategies for creating a knowledge-based economy for community enterprises in the Eastern Economic Development Zone passed the model's evaluation criteria which are consistent with the empirical data. In accordance with the Modification Indices, it was found that the root index of the square mean of the Chi-Square Probability Level was 0.109 while the relative Chi-square was 1.316. The Goodness of Fit Index was 0.973 and the Root Mean Square Error of Approximation was 0.033. It was found the components of Management have highest direct influence on New Product Development components (DE= 1.11) followed by New Product Development components, which have direct influence on Marketing (DE= 0.57) and Management components have direct influence on Marketing (DE= 0.42) From this study, it is learned about the strategies for creating a knowledge-based economy for community enterprises in the Eastern Economic Development Zone. To increase potential of the Grassroots Economy, to provide income, to reduce inequality, and brings community enterprise to be sustainably.

Application, planning, and techno-economic analysis of the multi-renewable energy complementary system in rural economic development zones: an empirical study in China.

The multi-renewable energy complementary system (MRECS) is a good plan that can effectively support the accomplishment of carbon peaking and carbon neutrality on schedule and take full advantage of renewable resources in rural areas. This research investigates the techno-economic feasibility of MRECS in rural areas to promote its large-scale implementation. A MRECS with integrated solar, wind, and biomass energy is proposed for a rural economic development zone. First, a scientific evaluation of the potential for renewable resources in rural areas is done. Second, a case study of the Jize Economic Development Zone is applied to examine the optimal MRECS configuration. Finally, an economic evaluation model that takes environmental benefits into account was created based on life cycle costs (LCCs). For the techno-economic analysis, the net present value (NPV), dynamic investment payback period, and internal rate of return (IRR) are also employed. Findings reveal that (1) the Jize Economic Development Zone has considerable development potential due to its abundance of renewable energy resources and ability to plan for 168.42MW of renewable energy units; (2) to meet the demand for continuous power generation and realize the sensible use of renewable energy, a combination of 10MW photovoltaic power generation (PV), 25MW wind power generation (WT), 2MW biogas power generation (BG), and 1MW straw direct combustion power generation (SDC) is able to be implemented; (3) the provided renewable energy system can save indirect expenses up to 10.60 million RMB/year, with significant environmental advantages, when compared to grid extension; and (4) the NPV of the dynamic investment reaches RMB 322.44 million after accounting for the environmental advantages in the income of MRECS. The dynamic investment payback period is 6.42years, and the IRR is 21.44%. According to the findings, the MRECS is economically viable, and capitalizing on the environmental advantages can increase those advantages even more.

Variation in Road Dust Heavy Metal Concentration, Pollution, and Health Risk with Distance from the Factories in a City-Industry Integration Area, China.

Road dust samples around three typical factories, F1, F2, and F3, in the National Zhengzhou Economic and Technology Development Zone (ZETZ), China, were collected to study the variation in heavy metal concentration (As, Cd, Cr, Cu, Hg, Ni, Pb, and Zn), pollution, and health risk with distance from the factories. The results indicated that the concentrations of all the elements near F1 were higher than near both F2 and F3. Apart from Co, Mn, and Cu in some dust samples, all the element concentrations were higher than the corresponding background values (BCs), to varying degrees. The spatial distributions of the heavy metals surrounding the factories followed the normal distribution. The peak values of element concentrations occurred at 300~400 m away from the factories, except for Hg, which continued increasing more than 500 m away from the factories. The fluctuation curves of the pollution load index value calculated according to the BCs for F1, F2, and F3 all had two peaks, a "small peak" and a "large peak", appearing at about 30 m and 300 m, respectively. For the hazard index and the total carcinogenic risk, the peak values all appeared at 400 m, with the curves following the normal distribution. Exposure to road dust containing non-carcinogenic and carcinogenic elements around F1 was greater than around F2 or F3. In conclusion, our results provide a reference for pursuing effective prevention of dust heavy metal pollution around modern manufacturing factories.

Evaluasi Kesesuaian Penggunaan Lahan Berdasarkan Kemampuan Lahan dengan Metode Skoring di Kabupaten Aceh Besar

Aceh Besar District is designated as an Integrated Economic Development Zone (KAPET) with the potential for rapid economic and regional development. This has an effect on the demand for land and housing for development which at any time can increase sharply, if not accompanied by certain policies and considerations it can cause a decrease in land capacity and affect the sustainable development of the area. The demand for more rapid development can lead to uncontrolled land-use change, changes in spatial use, and trigger disasters that affect community economic development. This study aims to evaluate the suitability of land use based on the ability of the land to use spatial data in Aceh Besar District. This study uses the scoring method for spatial analysis that refers to the Permen PU No. 20 / PRT / M / 2007. The results showed that the land capability unit of Aceh Besar District had an average weight of 3, except for the land capability of the carrying capacity and foundation stability was less with a weight of 2-3. The land capability value of the Aceh Besar Regency is 71-121, with the highest land capability class being class c (value 83-109) covering an area of 215,861.16 Ha or 74.96% and is included in the medium development classification. The suitability of land use in Aceh Besar District has a high level of land-use suitability with an area corresponding to 277.887,38 Ha or 96,56% and an area according to conditionally covering 9.895,94 Ha or 3.44%, while the level of land use mismatch in Aceh Besar District is classified as low with an area of 2,15 Ha or 0,0007%.

Does China's National Demonstration Eco-Industrial Park Reduce Carbon Dioxide and Sulfur Dioxide-A Study Based on the Upgrading and Transformation Process.

With the increasingly serious environmental problems, coordinating the relationship between the environment and economic development has become a crucial task for developing countries, especially China. This paper studies the role of eco-industrial parks (EIPs) in the emissions of carbon dioxide and sulfur dioxide in China with the difference-in-difference (DID) approach by focusing on the entire process of EIPs’ establishment—upgrading provincial development zones (DZs) to national DZs and then transforming national DZs into EIPs. Besides, we examined the heterogeneous effect of the different transformations from national economic and technological development zones (ETZs) or national high-tech zones (HTZs) to EIPs. In addition, we studied the spatial spillover effects of EIPs and their paths with the spatial difference-in-difference (SDID) method. The results show that neither provincial DZs nor national DZs can significantly reduce sulfur dioxide and carbon dioxide emissions. Only when national DZs are transformed into EIPs can they be reduced significantly. However, the different transformations from the HTZs and ETZs to EIPs have different effects on emissions. Moreover, EIPs have technology spillovers and demonstration effects on surrounding areas. Therefore, EIPs can reduce emissions in the surrounding areas. The results indicate that, in order to achieve high-quality development and coordinate the relationship between environment and economic development, we should take positive steps to promote the transformation of DZs into EIPs.

Industrial structure optimization, economic development factors and regional economic risk prevention in post COVID-19 period: empirical analysis based on panel data of Guangdong regional economy.

In the post-COVID-19 period, the regional economic development gap in Guangdong has expanded and the risk has increased. This is not conducive to building a well-off society in Guangdong in an all-round way. Optimizing the industrial structure, changing the mode of economic growth, preventing regional economic risks, and narrowing the regional economic development gap are the focus of Guangdong governments at all levels. Based on a two-sector economic growth model, the paper uses descriptive statistics and Deng's grey correlation method to analyze the economic development panel data of 21 prefecture-level cities of Guangdong Province from 2011 to 2018, analyzes the characteristics of regional economic development in Guangdong, and makes experimental research of the effect of industrial structure optimization and economic development factors on economic growth in Guangzhou, Zhongshan, Shantou, Maoming and Meizhou at different stages of development. The results show that: there are differences in the industrial structure and the level of economic development in different regions; the rationalization of industrial structure and upgrading of the industrial structure has an impact on economic growth and show different features during different stages; in different stages of economic development, foreign trade, scientific and technological innovation are the main factors affecting regional economic growth. This paper holds that the northwest of Guangdong Province and the Pearl River Delta should formulate industrial structure adjustment policies to promote the rationalization of regional industrial structure, expand foreign trade channels and innovate financing mechanisms, and restrain regional economic risks in combination with regional characteristics. The new development pattern of domestic and international dual circulation and mutual promotion, further expands the level of opening up, effectively playing the role of free trade pilot areas, free trade ports, special economic zones, development zones, bonded areas, and other frontier highlands, improve the level and capacity of foreign trade.

Spatial governance for COVID-19 prevention and control in China's development zones

Mandatory policy networks are an important collaborative governance model for crisis response. To reveal the operation and effectiveness of public sector-led crisis governance at the development zone level, this study draws on collaborative governance theory to develop a theoretical framework that reveals the external constraints, collaborative dynamics, collaborative actions, and collaborative outcomes of crisis governance in development zones. Based on qualitative research methods, this study analyzes pandemic prevention policy documents issued during the pandemic by China's national economic and technological development zones and their localities to reflect the complete process of governance. The findings indicate that a mandatory policy network, guided by a local governance framework, facilitated the rapid achievement of collaboration in development zones in responding to the crisis. Top-down leadership developed over time in the public sector, and the responsiveness and innovation of enterprises and social organizations played an important role in collaborative governance. Wins at each stage of the governance process are necessary for the continuation of collaborative actions and can drive the adaptation of a collaborative approach in development zones.

Contamination Assessment and Source Apportionment of Soil Heavy Metals in Typical Villages and Towns in a Nonferrous Metal Mining City

To investigate the soil contamination degree and potential ecological risk level of heavy metals in villages and towns in Tongling City, we collected 67 surface soil samples (including surface dusts and river sediments) from the typical districts, namely Shun'an Town, Zhongming Town, and Yi'an Economic Development Zone, and measured the contents of heavy metals including Cu, Zn, Pb, Cr, Cd, As, and Ni. Then, spatial distribution characteristics of heavy metals were analyzed, and their contamination degree and potential ecological risk were assessed. Finally, source apportionment of soil heavy metals was conducted using factor analysis. The results showed that the soil pH was weakly acidic in the study area, and the average contents of Cu, Zn, Cr, Cd, As, and Ni were 4.94, 2.89, 2.07, 0.94, 7.97, 4.03, and 2.02 times their soil background values in Tongling City, respectively. In general, the contents of soil heavy metals in the western part were higher than those in the eastern part across the studied area. According to the Nemerow pollution index, Cu, Cd, As, and Pb reached pollution levels; Zn, and Ni approached moderate pollution levels; and Cr belonged to the no pollution degree category. The Nemerow comprehensive pollution index of different land types was arranged in the order of river bed>town district>industrial land>vegetable land>agricultural land>mountain forest>village. On the whole, the contamination degree of soil heavy metals in the study area reached severe pollution levels. The order of potential ecological risk coefficients of soil heavy metals was Cd>As>Cu>Pb>Ni>Zn>Cr, in which Cd belonged to the extremely high risk level, Cu and As belonged to the medium risk level, and the others were all low risk levels. The potential ecological risk levels corresponding to different land types were as follows:river bed>town distribution>industrial land>vegetable land>agricultural land>village>mountain forest. The industrial land, vegetable land, and town district generally reached a very high risk level, and the agricultural land reached a high risk, whereas both village and mountain forest land showed a medium risk. Principal component analysis showed that Cu, Zn, Pb, Cd, and As in the study area were derived from local metal mining pollution; Cr was from both the geological background and metal mining pollution; and Ni mainly came from fossil fuel combustion.

Formal probabilistic risk analysis of accidental air pollution in a development zone using Bayesian networks

The potential risk caused by the leakage of toxic and hazardous substances during air pollution accidents poses a great threat to local environmental safety, human heath, and even property security. Uncertainties and causalities are important components that should not be ignored in risk assessment. Compared with traditional non-probabilistic methods, Bayesian networks (BNs) are well suited to solving problems with high complexity and uncertainties. To utilize these advantages, a BN-based approach, coupled with diffusion simulation of risk substances, was proposed to estimate the risk of air pollution accidents in a probabilistic way at the local scale. This method was applied to analyze the risk levels of 24 risk sources and 24 risk subregions in Daya Bay, a national economic and technological development zone with a large petrochemical industry in Huizhou, Guangdong province. The results indicated that the Daya Bay area suffered a relatively low risk of accidental air pollution. Only five risk sources (20.8%) and two risk subregions (8.3%) were found to have high danger or risk. Ammonia, styrene, and sulfur dioxide were the most threatening substances in order. Acute exposure was the most sensitive factor, and made the highest contribution to risk level. This research provides an effective approach that can be used to characterize the air pollution accident risk quantitatively, probabilistically, and graphically. Probabilistic risk assessment can provide substantial support to local risk prevention, control, and emergency response for accidental air pollution, as well as to future risk management and policy decisions.

Optimization of Industrial Cluster Management in Urban Development Zones Driven by Big Data

This paper analyzes the optimization of industrial cluster management in urban development zones driven by Big Data. This paper introduces model calculation to improve management optimization, analyzes the industrial clusters of urban development zones driven by Big Data through the model, and verifies the driving role of industrial cluster management optimization of urban development zones driven by Big Data with the help of empirical analysis. According to the experimental data, the total assets of target task decomposition increased from 20 to 200, the net assets increased from 13 to 110, and the debt ratio decreased year by year from 2017 to 2020. This paper analyzes the problems existing in the management of Liling Economic Development Zone and investigates the reasons, which are mainly caused by the following reasons: the inaccurate positioning of management functions has scattered the energy of park management and weakened the initiative and enthusiasm of work; affected by the changes of national policies, the work efficiency is reduced and the economic cost is increased; resources and energy have a great impact and are facing transformation and upgrading; the degree of marketization of the park is not high, which is difficult to adapt to the development situation. At the same time, by summarizing the advantages of Big Data, the research on the optimization of industrial cluster management in urban development zones driven by Big Data is realized. Driven by Big Data, the industrial cluster management of urban development zones has strong efficiency in economic promotion. We should actively promote this management optimization method, which can promote the improvement of economic construction level.

Environmental Assessment Issues for Combating Wind and Sandy Weather in Ecological Zones

For The environmental conditions of Saihanba before and after restoration were analyzed（Problem.1）, this article first analyzes several indicators (table 1) that reflect the environmental conditions of Saihanba, and from the nine three-level indicators collected from the data, first, use the spss software to export the scatter plot (figure 1), and preliminarily analyze whether there is a linear relationship in the indicators, use the Pearson correlation coefficient method to calculate the correlation coefficient between multiple variables (figure 2), and selects 4 indicators with larger correlation coefficients (table 2) and plot the change trends of the four indicators of Saihanba(figure 3), then adopts TOPSIS and entropy weight method calculates comprehensive environmental indicators and normalizes the indicators. The results show (figure 4) that with the advancement of the Saihanba project, the environmental quality index of Saihanba has increased by about 10% to 20% each year, showing an upward trend. To quantitatively evaluate the effect of Saihanba on the wind-sand resistance of Beijing(Problem.2), this article adopts a similar method to question 1. Through the Pearson correlation coefficient and entropy weight method, we get the weight of the benefit and cost index(table 4). Through the RSR comprehensive evaluation analysis method to calculate the sand resistance capacity of Beijing from 2004 to 2017 (table 5), and perform the regression model. The regression coefficients are a=1.603 and b=-0.2073, which shows that from 2004 to 2017, the Saihanba project has improved Beijing’s ability to resist sand and dust year by year. To establish a mathematical model to determine the appropriate location of China's ecological zone(Problem.3), in order to select similar forest farms, we divided the country into three levels according to the degree of disaster(table 6), by comparing the correlation coefficients (table 7) under the same disaster. Three potential cities were selected. The KMO test and Bartlett were carried out. The results show there is a correlation between the variables. The principal component analysis is valid, the degree is suitable. After that, we normalized the indicators and performed the principal component analysis to get the weights. Xingtai’s and Beijing’s scores are the closest. So we choose Xingtai. Repeat the above steps. List the score table(table 13) for each location in Xingtai. Finally, we determined the Hebei Ningjin Economic Development Zone as a forest farm area. By developing mathematical models, we assess the impact of the ecoregions on GHG uptake and carbon emission reduction(Problem.4), based on the comprehensive consideration of the environment in the Asia-Pacific region, Australia was selected as the analysis object. Based on the statistics of Australia’s comprehensive data, we adopted a descriptive analysis: through the analysis of the indicators, the overall descriptive analysis of the statistical indicators; use Matlab visualizes the data and explains the problem in a more graphical way.

Future changes in extreme precipitation from 1.0 °C more warming in the Tienshan Mountains, Central Asia

The Tienshan Mountains is the main water source and ecological barrier in the central portion of the Silk Road Economic Belt, a new economic development zone with the Asia-Pacific Economic Circle to the east and the European Economic Circle to the west. Production-living-ecological activities in the arid Central Asia region are heavily dependent on water resources mainly recharged from melt and alpine precipitation. Hence, reliable projections of changes in extreme precipitation under global warming are particularly important for the utilization and management of water resources. Based on the downscaled and bias-corrected state-of-art global climate models from the Coupled Model Intercomparison Project Phase 6 (CMIP6), we investigate changes in extreme precipitation over the Tienshan Mountains, Central Asia (TMCA) under different levels of global warming (1.5 °C, 2.0 °C, 3.0 °C, and 4.0 °C). We specifically assess the robustness of changes and the benefits of limiting warming to 2.0 °C as opposed to 3.0 °C. Compared with the reference period (1976–2005), a robust change in extreme precipitation across the TMCA is expected for all warming levels. And the fraction of land faced a robust change also increases with warming levels. Furthermore, there would be a substantial rise in extreme impacts in the TMCA when shifting from increases of 2.0 °C to 3.0 °C. In a scenario involving a 1.0 °C rise (i.e., from 2.0 °C to 3.0 °C), nearly 85.70 % and 60.19 % of the land in the TMCA will be affected by a robust increase in annual total wet-day precipitation (PRCPTOT) and number of light rain days (R5mm), respectively. In the same scenario, areas affected by robust changes in duration indices (consecutive dry days [CDD] and consecutive wet days [CWD]) will likely be less than 11.59 %. Limiting warming to 2.0 °C instead of 3.0 °C can avoid a marked increased impacts of about 62.84 %∼153.77 % of the change in frequency, intensity, and duration of extreme precipitation.

EDZs and Firms’ Environment Performance: Empirical Evidence From Chinese Firms

Economic Development Zones have been proven to be an economic success and have been pursued by many governments around the world over the past several decades, but there is still a research gap on their impact on the environment. This paper documents the effect of national-level EDZs on the environmental performance of firms. Combining rich firm and administrative data in China from 1998–2012, we exploit the relationship between the foundation of EDZs and firms’ pollution emissions with a multi-period differences-in-differences model. We find that the establishment of national EDZs can effectively reduce the pollution emission intensity of firms within it. Moreover, this pollution reduction effects vary across industries, firms, and EDZs types. We also find that the establishment of EDZs can improve firm environmental performance by improving energy efficiency, optimizing the business environment, and upgrading technology.

An approach to stimulate the sustainability of an eco-industrial park using coupled emergy and system dynamics

Using an emergy and system dynamics model, this paper proposes a dynamic evaluation method for the sustainable development of eco-industrial parks and conducts an empirical analysis of the Shenyang Economic and Technological Development Zone (SETDZ). Four SETDZ’s development scenarios were designed, including inertia, economic, environmental protection, and science and technology scenarios, and the sustainable development status of each scenario was simulated and dynamically evaluated. In this paper, emergy analysis and SD method are used to simulate the changes of system functional elements and emergy evaluation indexes of SETDZ. The results show that under the coordinated development of the economy and environment, the science and technology scenario based on high-tech investment is the best development strategy for SETDZ. The sustainability of the SETDZ greatly improved on the implementation of the circular economic model, and the sustainable development indicator of the science and technology scenario increased from 3.59E-02 (2014) to 8.16E-02 (2024). Furthermore, SETDZ could achieve the coordinated development of the economy and environment owing to the reasonable layout of industrial enterprises, integration of public resources, effective utilization and disposal of waste, establishment of an enterprise symbiosis system, development of cleaner production, and other measures.

Characteristics and health risk assessment of heavy metal pollution in atmospheric particulate matter in different regions of the Yellow River Delta in China.

To understand the characteristics, temporal and spatial variation, and health risks of atmospheric heavy metal pollution in different areas of the YRD (Yellow River Delta), atmospheric particles samples were collected in the YRD in China during 2016-2017. A total of 10 monitoring points were chosen in different areas (industrial parks, main urban areas, and rural areas) in the YRD, heavy metals were monitored using atomic fluorescence spectrometry and graphite furnace atomic absorption spectrometry. The results showed that TSP (total suspended particulate), PM10 (particulate matter with an aerodynamic diameter less than 10μm), and PM2.5 (particulate matter with an aerodynamic diameter less than 2.5μm) contents were higher in the Kenli EDZ (economic development zone) and Kenli urban areas than those in other points. The concentration range of heavy metals in atmospheric samples at 10 points was different, with a difference of five orders of magnitude, of which the content of copper (Cu) was the highest, with the highest concentration of 4.375μg/m3, and the content of particulate mercury (Hg) was the lowest, with the minimum concentration of 0.00001μg/m3. Among the nine heavy metals, the contents of cadmium (Cd), lead (Pb), and Hg were higher in winter than in summer, and chromium (Cr), nickel (Ni), Cu, and manganese (Mn) were higher in summer than in winter. In addition to Hg, the contents of the other eight heavy metals in particulate matter showed a trend that urban areas and EDZs had higher concentrations than cities and towns and nature reserves, which can be attributed to industrial activities and coal-fired fuel emissions. Health risk assessment was carried out for adults and children, respectively, and the results showed that carcinogens have no obvious carcinogenic risk, but As and Cr have major potential carcinogenic risk. Among the noncarcinogenic substances, Mn has the greatest noncarcinogenic risk, and urban areas and economic development zones have the greatest risk. This study investigated the characteristics and health risk assessment of atmospheric heavy metal pollution in different areas in the YRD to supplement the research contents of atmospheric particulate heavy metals in the YRD in domestics and overseas. It is also critical to study the pollution and migration of heavy metals in China.