Chinese Journal of Population Resources and Environment最新文献_第4页

Spatial pattern of the Chinese economy and spatial heterogeneity of its influential factors: An empirical study based on nighttime lighting data 中国经济空间格局及其影响因素的空间异质性——基于夜间照明数据的实证研究

IF 3.9 4区环境科学与生态学 Q2 ENVIRONMENTAL STUDIES

Chinese Journal of Population Resources and Environment

Pub Date : 2025-06-01 DOI: 10.1016/j.cjpre.2025.05.007

Yifeng Hai , Yuanjie Deng , Hang Chen , Dingdi Jize , Ji Luo

China’s economy has developed rapidly since its reform and opening-up. However, the different rates of development in various places due to location and policies have led to significant economic differences. Based on the nighttime lighting data of 281 municipal spatial units in China from 2013 to 2021, this study uses spatial autocorrelation, center of gravity shift, and standard deviation ellipse (SDE) analysis to examine the evolution of the spatial pattern of China’s municipal economy. Based on these, it uses a geographically weighted regression (GWR) model to explore the factors influencing the differences in China’s municipal economy and its spatial heterogeneity. The paper reveals the following results. First, China’s municipal economy as a whole shows a growing trend. Second, the SDE shows a “north-south” distribution pattern, and the concentration of China’s economic development has slightly increased, with a significant centripetal distribution. Third, spatial correlation shows spatial positive correlation, the degree of which is increasing, with strong spatial heterogeneity and regional agglomeration. Finally, measuring the influencing factors according to GWR, the industrial structure and education expenditure coefficients generally show a decreasing trend from the southeast coast to the northwest and inland due to the degree of transformation of industrial structure and the lagging effect of education expenditure on economic growth. Conversely, the innovation driver and urban area coefficients show a decreasing trend from the northwest inland to the southeast coast due to the law of diminishing marginal utility of innovation drivers and differences in urbanization development. Government expenditure coefficients show a higher trend in the East and a lower trend in the West due to policy favoritism and market development level. This research can serve as a theoretical reference for China to achieve high-quality development and move toward common prosperity.

改革开放以来，中国经济快速发展。然而，由于地理位置和政策的原因，各地的发展速度不同，导致了显著的经济差异。基于2013 - 2021年中国281个城市空间单元的夜间照明数据，采用空间自相关、重心偏移和标准差椭圆（SDE）分析方法对中国城市经济的空间格局演变进行了研究。在此基础上，运用地理加权回归（GWR）模型探讨中国城市经济差异及其空间异质性的影响因素。本文揭示了以下结果。第一，中国城市经济整体呈现增长态势。②SDE呈“南北”分布格局，中国经济发展集中度略有上升，向心分布明显。③空间相关性呈现空间正相关，且正相关程度不断增强，具有较强的空间异质性和区域集聚性。最后，根据GWR衡量影响因素，由于产业结构的转型程度和教育支出对经济增长的滞后效应，产业结构和教育支出系数总体上呈现由东南沿海向西北和内陆递减的趋势。相反，由于创新驱动力的边际效用递减规律和城市化发展的差异，创新驱动力系数和城市面积系数呈现由西北内陆向东南沿海递减的趋势。受政策偏向和市场发展水平等因素的影响，政府支出系数东部呈较高趋势，西部呈较低趋势。本研究可为中国实现高质量发展、走向共同富裕提供理论参考。

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引用次数: 0

Resource constraints and bricolage: The moderating role of entrepreneurs’ creativity cognitive style 资源约束与拼凑：企业家创造力认知风格的调节作用

IF 3.9 4区环境科学与生态学 Q2 ENVIRONMENTAL STUDIES

Chinese Journal of Population Resources and Environment

Pub Date : 2025-06-01 DOI: 10.1016/j.cjpre.2025.05.010

Tao Shen , Shuxing Chen

This study examines the moderating role of entrepreneurs’ creative cognitive styles in the relationship between resource constraints and bricolage. Drawing on insights from cognitive psychology and entrepreneurial research, we explore how divergent and convergent thinking influence the extent to which entrepreneurs engage in bricolage under resource limitations. Bricolage refers to the creative recombination of available resources to address challenges and seize opportunities, a process often adopted by firms facing financial or knowledge constraints. Yet, individual cognitive differences may determine how effectively entrepreneurs can employ bricolage as a strategic response to scarcity. We propose that divergent thinking—the capacity to generate multiple creative solutions and identify novel resource combinations—strengthens the positive association between resource constraints and bricolage. In contrast, convergent thinking, which emphasizes logical analysis and the pursuit of a single optimal solution, weakens this association. To test these propositions, we collected survey data from 183 entrepreneurs in the United States and employed moderated regression analyses to examine the interactions among cognitive styles, resource constraints, and bricolage behaviors. Our findings reveal that divergent thinking significantly enhances the effect of both financial and knowledge constraints on bricolage, enabling entrepreneurs to creatively leverage limited resources. Conversely, convergent thinking appears to diminish the likelihood of engaging in bricolage when resources are scarce. These results highlight the importance of individual cognitive styles in shaping strategic responses to resource scarcity and contribute to a more nuanced understanding of entrepreneurial bricolage. The study offers practical implications for firms operating in resource-constrained environments by suggesting that enhancing divergent thinking abilities may facilitate more effective resource recombination. Future research should investigate additional cognitive factors and employ longitudinal designs to capture the dynamic nature of entrepreneurial decision-making. These insights open new avenues for further innovative entrepreneurial practices.

本研究考察了企业家创造性认知风格在资源约束与拼凑关系中的调节作用。根据认知心理学和创业研究的见解，我们探讨了在资源有限的情况下，发散思维和收敛思维如何影响企业家参与拼凑的程度。Bricolage指的是对现有资源的创造性重组，以应对挑战和抓住机遇，这是面临财务或知识限制的公司经常采用的一种过程。然而，个体认知差异可能决定了企业家如何有效地利用拼凑作为对稀缺性的战略回应。我们认为，发散性思维——产生多种创造性解决方案和识别新资源组合的能力——加强了资源约束和拼凑之间的正相关关系。相反，强调逻辑分析和追求单一最优解的收敛思维削弱了这种联系。为了验证这些命题，我们收集了183名美国企业家的调查数据，并采用适度回归分析来检验认知风格、资源约束和拼凑行为之间的相互作用。我们的研究结果表明，发散思维显著增强了财务和知识约束对拼凑的影响，使企业家能够创造性地利用有限的资源。相反，当资源稀缺时，趋同思维似乎减少了参与拼凑的可能性。这些结果强调了个人认知风格在形成应对资源稀缺的战略反应中的重要性，并有助于更细致地理解创业拼凑。研究结果表明，提高发散性思维能力有助于提高资源重组效率，为资源受限环境下的企业提供了实践启示。未来的研究应该调查更多的认知因素，并采用纵向设计来捕捉创业决策的动态性。这些见解为进一步创新的创业实践开辟了新的途径。

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引用次数: 0

Understanding the relationship between trade adjustment and forest density in lower, lower-middle, upper-middle, and high-income countries 了解低收入、中低收入、中高收入和高收入国家的贸易调整与森林密度之间的关系

IF 3.9 4区环境科学与生态学 Q2 ENVIRONMENTAL STUDIES

Chinese Journal of Population Resources and Environment

Pub Date : 2025-06-01 DOI: 10.1016/j.cjpre.2025.05.009

Rizwan Akhtar , Jamal Hussain , Zhuang Miao , Lingchao Li , Tran Cuong , Baodong Cheng , Rashid Ali , Sajjad Haider , Hajira Murad Ali

Forests are essential for both ecological and economic aspects. Most rural people in developing countries rely on forest resources for their livelihood. Since 1980, trade has substantially affected forest cover, density, and management in developing countries. Few studies have examined how changes in trade structure and international trade in primary commodities affect forest density. To better understand the relationship between trade, trade structure adjustment, and forest density, this study examined 52 developing countries across four income levels: high income (HI), low income (LI), upper-middle income (UMI), and lower-middle income (LMI). We compared studies on historical changes in forest cover with those on forest density. For alternative outcomes, we used a generalized method of moments (GMM) model for the entire panel and a random-effects model for various income categories. The results show that the percentage of non-primary goods exported (PNPEXP) and total manufacturing and services exported (TEXP) significantly impact forest density. This suggests that trade and trade structure can improve a country’s forest density conditions.

森林在生态和经济方面都是必不可少的。发展中国家的大多数农村人口依靠森林资源维持生计。自1980年以来，贸易对发展中国家的森林覆盖、密度和管理产生了重大影响。很少有研究审查贸易结构和国际初级商品贸易的变化如何影响森林密度。为了更好地理解贸易、贸易结构调整和森林密度之间的关系，本研究考察了52个发展中国家的四个收入水平：高收入（HI）、低收入（LI）、中高收入（UMI）和中低收入（LMI）。我们比较了森林覆盖率和森林密度的历史变化。对于替代结果，我们对整个面板使用了广义矩量法（GMM）模型，并对各种收入类别使用了随机效应模型。结果表明，非初级产品出口比例（PNPEXP）和制造业和服务业出口总量（TEXP）对森林密度有显著影响。这表明贸易和贸易结构可以改善一个国家的森林密度状况。

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引用次数: 0

Digital intelligence technology innovation, energy transformation and urban carbon emission efficiency 数字智能技术创新、能源转型与城市碳排放效率

IF 3.9 4区环境科学与生态学 Q2 ENVIRONMENTAL STUDIES

Chinese Journal of Population Resources and Environment

Pub Date : 2025-06-01 DOI: 10.1016/j.cjpre.2025.05.006

Jinrui Chen , Yichang Zhang , Mingyue Wang

Strategically improving carbon emission efficiency (CEE) through digital intelligence technology innovation (DITI) is imperative to capitalize on emerging opportunities for economic decarbonization and low-carbon green development. This study employs panel data from 283 Chinese cities from 2011 to 2021 to examine the influence of DITI on urban CEE. The findings suggest the following: ① DITI is crucial in enhancing CEE, and it exerts spatial spillover effects on neighboring areas. ② Following the transition to a low-carbon energy system, DITI is instrumental in enhancing CEE by reducing the energy consumption scale, optimizing the energy consumption structure, and controlling the energy consumption intensity. ③ DITI has varying effects on CEE when subjected to multidimensional regulations, including fiscal pressure, fiscal decentralization, private economics, and entrepreneurial vitality. ④ The beneficial impact of DITI on CEE is more pronounced in regions with high economic growth, low natural resource endowments, high digital resource endowments, and in cities in central China. This study emphasizes DITI’s crucial role in promoting a low-carbon, green circular, and energy-efficient digital economy.

通过数字智能技术创新（DITI）战略性地提高碳排放效率（CEE）是抓住经济脱碳和低碳绿色发展新机遇的必要举措。本研究采用2011 - 2021年283个中国城市的面板数据，考察了DITI对城市中东欧的影响。研究结果表明：①工业增加值对促进中东欧发展具有重要作用，并对周边地区产生空间溢出效应；②在向低碳能源体系转型的背景下，通过降低能源消费规模、优化能源消费结构、控制能源消费强度等方式提升能源消费水平。③受财政压力、财政分权、民营经济和创业活力等多维因素影响，DITI对中东欧的影响是不同的。④在经济高增长、自然资源禀赋低、数字资源禀赋高的地区和中部城市，数字化投资对中东欧的有利影响更为明显。本研究强调了数字信息技术在促进低碳、绿色循环和节能数字经济方面的关键作用。

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引用次数: 0

China’s development path for intermittent renewable energy power generation: The influence of diffusion factors 中国间歇性可再生能源发电的发展路径：扩散因素的影响

IF 3.9 4区环境科学与生态学 Q2 ENVIRONMENTAL STUDIES

Chinese Journal of Population Resources and Environment

Pub Date : 2025-06-01 DOI: 10.1016/j.cjpre.2025.05.005

Lu Zhang , Ruiyu Zhang , Xiangcheng Zhang , Baichen Xie , Xianpeng Chen

With the proposed carbon-neutrality targets, intermittent renewable energy will become increasingly significant for the power sector in the future. It is vital to study its development paths, particularly for wind power and photovoltaics, while considering constraints on diffusion potential. Using learning curves, dynamic programming, and Bass models, this study analyzes technological diffusion trends to determine the most cost-effective development route for intermittent renewable energy power generation in China by 2060. This study simplifies reality by examining the individual diffusion processes of wind and photovoltaic power, focusing on the self-diffusion characteristics of the two technologies. The study assumes that self-diffusion is the primary driver of future development and describe the influence of multiple factors. The study finds that supportive policies are key drivers of development in the early stages of intermittent renewable energy deployment, especially for photovoltaics. The current diffusion scale of photovoltaics has a greater positive impact on its future development than that of wind power due to lower costs. In the long term, the phased goal for 2030 is projected to be met ahead of schedule, and the majority of future intermittent renewable energy output is expected to come from photovoltaics. The rapid development phases of photovoltaic and wind power conclude at similar times, but the maximum diffusion potential of photovoltaics is higher than that of wind power. Investment constraints and technological levels affect the initial and middle phases of the development path, but their effects are limited. The capacity of the power grid remains the key constraint in the entire research field.

随着碳中和目标的提出，间歇性可再生能源在未来的电力行业将变得越来越重要。研究其发展路径是至关重要的，特别是风能和光伏发电，同时考虑到扩散势的限制。本研究运用学习曲线、动态规划和Bass模型，分析技术扩散趋势，以确定到2060年中国间歇性可再生能源发电最具成本效益的发展路线。本研究简化了现实，考察了风电和光伏各自的扩散过程，重点研究了两种技术的自扩散特性。研究假设自扩散是未来发展的主要驱动力，并描述了多种因素的影响。研究发现，在间歇性可再生能源部署的早期阶段，支持性政策是发展的关键驱动因素，尤其是光伏发电。由于成本较低，光伏目前的扩散规模对其未来发展的积极影响大于风电。从长远来看，2030年的分阶段目标预计将提前实现，未来间歇性可再生能源产量的大部分预计将来自光伏发电。光伏与风电的快速发展期结束时间相近，但光伏的最大扩散势高于风电。投资约束和技术水平影响了发展路径的初期和中期阶段，但其影响是有限的。电网容量仍然是整个研究领域的关键制约因素。

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引用次数: 0

Unleashing the nexus between farmers’ participation in rural tourism and their ecological footprint: Emerging environmental subjectivities in rural China 释放农民参与乡村旅游与其生态足迹之间的联系：中国农村新兴的环境主体性

IF 3.9 4区环境科学与生态学 Q2 ENVIRONMENTAL STUDIES

Chinese Journal of Population Resources and Environment

Pub Date : 2025-06-01 DOI: 10.1016/j.cjpre.2025.05.011

Mengwei Gu, Fang Su, Jiangbo Chang

Tourism-oriented livelihoods represent a significant avenue for transforming traditional agricultural practices. Analyzing their environmental impacts offers a novel perspective for exploring the complex interplay among human production, consumption, and the ecological environment at a micro level. In this study, Shaanxi Province farmers were selected as field survey participants. Based on a quantitative assessment of farmers’ ecological footprints within the study area, how their participation in rural tourism affected ecological footprints was analyzed using the propensity score matching model, and the heterogeneity of the impact and underlying mechanisms were further explored. Results indicate that the ecological footprint of farmers varies significantly across land-use types and consumption categories. Moreover, the spatial distribution of the ecological footprints exhibits a distinct “high at both ends and low in the middle” pattern. Participation in rural tourism significantly reduces the ecological footprint, particularly among farmers with higher levels of social trust or lower economic status. Further analysis shows that habitat quality and vegetation coverage are key ecological indicators that exert a significant positive moderating effect on the negative impact of rural tourism participation on farmers’ ecological footprints. These findings highlight the importance of integrating ecological conservation with economic development. Accordingly, tailored policies, improved ecological service systems, and enhanced regional ecological quality are recommended to increase resource-use efficiency and promote a virtuous cycle between environmental sustainability and rural economic growth.

以旅游业为导向的生计是改变传统农业做法的重要途径。分析其对环境的影响，为在微观层面上探索人类生产、消费与生态环境之间复杂的相互作用提供了新的视角。本研究选取陕西省农民作为实地调查对象。在对研究区农民生态足迹进行定量评价的基础上，运用倾向得分匹配模型分析了农民参与乡村旅游对生态足迹的影响，并进一步探讨了影响的异质性及其机制。结果表明，农户生态足迹在不同土地利用类型和消费类别之间存在显著差异。生态足迹的空间分布呈现出明显的“两端高，中间低”的格局。参与乡村旅游可显著减少生态足迹，特别是在社会信任度较高或经济地位较低的农民中。进一步分析表明，栖息地质量和植被覆盖度是乡村旅游参与对农民生态足迹负向影响的关键生态指标，对乡村旅游参与对农民生态足迹的负向影响具有显著的正向调节作用。这些发现突出了生态保护与经济发展相结合的重要性。因此，建议制定相应的政策，完善生态服务体系，提高区域生态质量，以提高资源利用效率，促进环境可持续性与农村经济增长的良性循环。

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引用次数: 0

Enhancing energy security through efficient decarbonization: Impact of China’s “Constructing Large Units and Restricting Small Ones” policy on thermal power productivity 以高效脱碳提升能源安全：中国“建大限小”政策对火电产能的影响

IF 3.9 4区环境科学与生态学 Q2 ENVIRONMENTAL STUDIES

Chinese Journal of Population Resources and Environment

Pub Date : 2025-06-01 DOI: 10.1016/j.cjpre.2025.05.003

Jinsong Zhao , Chin-Hsien Yu , Xinghao Li

Developing low-carbon and efficient power systems is critical for energy security in the global warming context. We address this issue by focusing on the productivity impact of a decarbonization policy in China’s thermal power sector—namely, the “Constructing Large Units and Restricting Small Ones” (CLRS) initiative. Utilizing a resource misallocation model, we construct a new theoretical framework to distinguish between technical and allocative efficiency and analyze productivity using plant-level data. The results indicate that the CLRS policy has significantly improved the allocative and technical efficiency of China’s coal-fired power sector, thereby ensuring power security. The closure of outdated and highly distorted small coal-fired units, which have been replaced by technologically advanced large units, primarily drives the enhanced efficiency. The policy’s effects are most pronounced in large-scale power plants and those with high coal combustion efficiency. Furthermore, a comparison of power plants’ productivity distribution before and after policy implementation reveals that the CLRS policy not only enhances capital productivity in the coal-fired power sector but also increases rational labor allocation. Our findings have important policy implications for developing countries vis-à-vis building efficient and stable power systems amid climate change.

在全球变暖的背景下，发展低碳高效的电力系统对能源安全至关重要。我们通过关注中国火电行业脱碳政策——即“建大限小”（CLRS）倡议——对生产率的影响来解决这一问题。利用资源错配模型，我们构建了一个新的理论框架来区分技术效率和配置效率，并利用工厂层面的数据分析生产率。结果表明，CLRS政策显著提高了中国煤电行业的配置效率和技术效率，从而保障了电力安全。淘汰落后、变形严重的小型燃煤机组，代之以技术先进的大型燃煤机组，是提高效率的主要动力。该政策的影响在大型发电厂和燃煤效率高的发电厂最为明显。此外，通过对政策实施前后电厂生产率分布的比较，可以发现CLRS政策不仅提高了煤电行业的资本生产率，而且促进了劳动力的合理配置。我们的研究结果对发展中国家在气候变化中建立高效和稳定的电力系统具有重要的政策意义-à-vis。

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引用次数: 0

Environmental impacts of macroeconomic variables: A case study of Iran and selected OPEC members 宏观经济变量对环境的影响：以伊朗和部分欧佩克成员国为例

IF 3.9 4区环境科学与生态学 Q2 ENVIRONMENTAL STUDIES

Chinese Journal of Population Resources and Environment

Pub Date : 2025-06-01 DOI: 10.1016/j.cjpre.2025.05.008

Hamid Sepehrdoust, Mohsen Tartar, Shaghayegh Heydari Parvin

Considering the undeniable importance of the environment in people’s lives, this study investigates the combined effects of information and communication technology (ICT) and foreign direct investment (FDI) on achieving environmental sustainability. With increasing carbon emissions and their destructive environmental, socioeconomic, and political consequences, the main research question is: what strategies have governments, especially oil-exporting countries, previously used to reduce pollution, and what policies do they plan to implement in the future? Among the policies undertaken by OPEC member countries, has FDI and the development of ICT been effective in preventing environmental damage? To address this, this study uses renewable energy consumption, ICT intensity, FDI, and urbanization as explanatory variables, with carbon dioxide (CO₂) emissions as the dependent variable. The analysis focuses on OPEC members from 2000 to 2020 using a panel vector autoregression (PVAR) method. The results indicate that a shock to FDI, labor force, urban population, and renewable energy consumption reduces CO₂ emissions while a shock to gross capital formation increases them. The impact of an ICT shock on CO₂ emissions is negligible. Variance analysis further shows that urban population, labor force, and FDI have the greatest influence on CO₂ behavior, therefore, it is necessary to attract more FDI to help reduce CO₂ in OPEC members.

考虑到环境在人们生活中不可否认的重要性，本研究探讨了信息通信技术（ICT）和外国直接投资（FDI）对实现环境可持续性的综合影响。随着碳排放的增加及其对环境、社会经济和政治的破坏性影响，主要的研究问题是：政府，特别是石油出口国，以前采用了什么策略来减少污染，他们计划在未来实施什么政策？在石油输出国组织成员国采取的政策中，外国直接投资和信息通信技术的发展是否有效地防止了环境破坏？为了解决这一问题，本研究使用可再生能源消耗、ICT强度、FDI和城市化作为解释变量，二氧化碳（CO2）排放作为因变量。使用面板向量自回归（PVAR）方法对2000年至2020年的欧佩克成员国进行了分析。结果表明，对FDI、劳动力、城市人口和可再生能源消费的冲击减少了二氧化碳排放，而对总资本形成的冲击增加了它们。ICT冲击对二氧化碳排放的影响可以忽略不计。方差分析进一步表明，城市人口、劳动力和FDI对CO2行为的影响最大，因此，有必要吸引更多的FDI来帮助欧佩克成员国减少CO2。

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引用次数: 0

Decoupling economic growth from industrial SO2 emissions in China: A two-stage decomposition approach 中国工业二氧化硫排放与经济增长的脱钩：一个两阶段分解方法

IF 3.9 4区环境科学与生态学 Q2 ENVIRONMENTAL STUDIES

Chinese Journal of Population Resources and Environment

Pub Date : 2025-03-01 DOI: 10.1016/j.cjpre.2025.01.005

Yuanna Tian , Yizhong Wang , Ye Hang , Dequn Zhou , Xiurong Hu , Qunwei Wang

Exploring the factors driving the decoupling of China’s sulfur dioxide (SO₂) emissions from economic growth (DEI) is crucial for achieving sustainable development. By analyzing the decoupling indicators and driving factors at both the generation and treatment stages of SO₂, more effective targeted mitigation strategies can be developed. We employ the Tapio decoupling model and propose a two-stage method to examine the decoupling issues related to SO₂. Our findings indicate that: ① DEI shows a steady and significant improvement, with SO₂ emission intensity identified as the primary driver. ② for the decoupling of economic growth and SO₂ generation, energy scale serves as the largest stimulator, while the effect of energy intensity changes from negative to positive, and pollution intensity is first positive and then negative. ③ For the decoupling of SO₂ generation and SO₂ removal, treatment efficiency leads as the largest promoter, followed by treatment intensity. Based on these results, this study recommends that China focuses more on enhancing clean energy utilization and the effectiveness of treatment processes.

探索中国二氧化硫（SO2）排放与经济增长（DEI）脱钩的驱动因素对于实现可持续发展至关重要。通过分析SO2产生阶段和处理阶段的解耦指标和驱动因素，可以制定更有效的有针对性的缓解策略。我们采用Tapio解耦模型，并提出一种两阶段方法来检查与二氧化硫相关的解耦问题。研究结果表明：①DEI呈现出稳定而显著的改善趋势，其中SO2排放强度是主要驱动因素；②对于经济增长与二氧化硫产生的脱钩，能源规模是最大的刺激因子，而能源强度的影响由负向正变化，污染强度先正后负。③对于SO2生成与去除率的解耦，处理效率是最大的促进因素，其次是处理强度。基于这些结果，本研究建议中国更多地关注提高清洁能源的利用和处理过程的有效性。

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引用次数: 0

Analysis of hotspots of urban eco-environmental problems: A case study of Shenzhen City 城市生态环境问题热点分析——以深圳市为例

IF 3.9 4区环境科学与生态学 Q2 ENVIRONMENTAL STUDIES

Chinese Journal of Population Resources and Environment

Pub Date : 2025-03-01 DOI: 10.1016/j.cjpre.2025.01.011

Yue Cai , Rencai Dong , Anxin Lian , Zerui Wang , Yiqiao Zhao , Qinrui Luo , Change Liu

Urban eco-environmental management is a key focus in the modernization of national governance systems and governance capacity. Advanced information technology should be used to identify ecological problems in urban areas accurately while enhancing the environmental management capacity to promote the sustainable development of cities. This study centers on statistical data from PM_2.5 air monitoring stations in Shenzhen, China, and supplemental data, such as population distribution data from China Unicom’s mobile phone signaling. Data cleaning and fusion are used to construct a spatial dataset of an eco-environmental problem: PM_2.5 concentrations. The geostatistical analysis tool ArcGIS is used to identify the most suitable interpolation method for reflecting this eco-environmental problem based on multiple parameter adjustments and repeated testing. A hotspot distribution map of PM_2.5 concentrations is generated, and correlation analysis is conducted on the population density and distribution patterns in these hotspot areas. This enables the quantitative analysis and exploration of the spatial characteristics and coupling relationships of PM_2.5 concentrations. The results show a positive correlation between the PM_2.5 concentration distribution and the points of interest, road network density, number of dead-end roads, and average building height in Shenzhen. No correlation is found between population and building densities and the PM_2.5 concentration distribution, possibly due to the city’s effective environmental management and pollution control measures. These findings help advance the development of precise, scientific, legally compliant pollution control strategies and decision-making processes. Furthermore, they provide technical support for urban eco-environmental planning, management, and sustainable development.

城市生态环境治理是国家治理体系和治理能力现代化的重点。利用先进的信息技术，在准确识别城市生态问题的同时，提高环境管理能力，促进城市的可持续发展。本研究以中国深圳PM2.5空气监测站的统计数据为中心，并辅以中国联通手机信令的人口分布数据。数据清洗和融合用于构建一个生态环境问题的空间数据集：PM2.5浓度。利用地质统计分析工具ArcGIS，通过多次参数调整和反复试验，确定最适合反映该生态环境问题的插值方法。生成PM2.5浓度热点分布图，并对这些热点区域的人口密度和分布格局进行相关性分析。这可以定量分析和探索PM2.5浓度的空间特征和耦合关系。结果表明，PM2.5浓度分布与兴趣点、路网密度、死路数和平均建筑高度呈正相关。人口和建筑密度与PM2.5浓度分布之间没有相关性，可能是由于城市有效的环境管理和污染控制措施。这些发现有助于推动制定精确、科学、合法的污染控制战略和决策过程。为城市生态环境规划、管理和可持续发展提供技术支持。

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