In 2023, the real gross domestic product (GDP) of the city of Chengdu in China grew by * percent compared to the previous year, according to preliminary data. Chengdu is the provincial capital of Sichuan province in Central China.

GDP: Sichuan: Chengdu data was reported at 2,351.130 RMB bn in 2024. This records an increase from the previous number of 2,233.660 RMB bn for 2023. GDP: Sichuan: Chengdu data is updated yearly, averaging 10.538 RMB bn from Dec 1949 (Median) to 2024, with 76 observations. The data reached an all-time high of 2,351.130 RMB bn in 2024 and a record low of 0.400 RMB bn in 1949. GDP: Sichuan: Chengdu data remains active status in CEIC and is reported by Chengdu Municipal Bureau of Statistics. The data is categorized under China Premium Database’s National Accounts – Table CN.AE: Gross Domestic Product: Prefecture Level City.

In 2023, the gross domestic product (GDP) at current prices of the city of Chengdu in China reached around **** trillion yuan. Chengdu is the provincial capital of Sichuan province in Central China.

In 2023, the real gross domestic product (GDP) of China's Sichuan province increased by *** percent compared to the previous year. Sichuan is a Chinese province located in Southwest China. The capital city of Sichuan is Chengdu.

Real Estate Investment: Land Development: Chengdu data was reported at 2,366.770 RMB mn in 2009. This records a decrease from the previous number of 9,830.950 RMB mn for 2008. Real Estate Investment: Land Development: Chengdu data is updated yearly, averaging 913.010 RMB mn from Dec 1999 (Median) to 2009, with 10 observations. The data reached an all-time high of 9,830.950 RMB mn in 2008 and a record low of 15.440 RMB mn in 2003. Real Estate Investment: Land Development: Chengdu data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.RKE: Real Estate Investment: City: of which: Land Development.

Population: Household Registration: Natural Growth Rate: Sichuan: Chengdu data was reported at 4.920 ‰ in 2023. This records an increase from the previous number of -2.960 ‰ for 2022. Population: Household Registration: Natural Growth Rate: Sichuan: Chengdu data is updated yearly, averaging 2.100 ‰ from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 5.400 ‰ in 2015 and a record low of -2.960 ‰ in 2022. Population: Household Registration: Natural Growth Rate: Sichuan: Chengdu data remains active status in CEIC and is reported by Chengdu Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: Household Registration: Natural Growth Rate.

Green development is key to promoting high-quality regional development. Chengdu Plain Economic Zone (CPEZ) stands as the primary area for the Chengdu-Chongqing twin-city economic circle. This study constructed an evaluation system for green development level, selecting 33 indicators from three dimensions: green environment, green lifestyle, and green economy. Through the application of the entropy-TOPSIS method, Pearson correlation analysis, and geographic detector, the green development level of the Chengdu Plain Economic Zone urban agglomeration from 2013 to 2022 was evaluated, as well as the coupling and coordination relationship of green development was analyzed, and the driving mechanism affecting the green development of the region was explored. The results show that: (1) The overall level of green development in the research area continues to improve from 2013 to 2022, with an average annual growth rate of 5.11%. There is spatial heterogeneity in the level of green development among cities. (2). The coupling coordinated development degree (CCD) has steadily improved, however, the overall region is still in a low-level stage of coupled coordinated development. Among them, Ziyang, Suining, Mianyang, and Ya’an exceeded the regional average level in 2015, 2017, 2018, and 2019 respectively, entering the stage of primary coupling and coordinated development. (3). The key driving factors for green development level include GDP electricity consumption, per capita length of water supply pipelines, percentage of added value of the secondary and tertiary industries to GDP, per capita water resources, and population density. The spatial differences in these indicators explain over 50% of the level of green development. To promote high-quality development of the CPEZ, three policy recommendations are proposed: Firstly, optimize green environmental governance. The second is to encourage the development of green technology innovation and circular economy. The third is to strengthen the coordinated development of regional economy, optimize the allocation of resource elements, enhance the radiation effect of urban agglomerations, and drive the integrated development of the CPEZ.

In 2023, Shanghai was the city with the largest GDP in China, reaching a value added of approximately 4.7 trillion yuan. The four Chinese first-tier cites Beijing, Shanghai, Shenzhen, and Guangzhou had by far the strongest economic performance. Development of Chinese cities Rapid urbanization and economic growth have reshaped all Chinese cities since the economic opening up of China. While the first-tier cities have overall benefitted most from this development, the last two decades have seen many second-tier cities catching up. For many years already, growth rates in Qingdao, Hangzhou, Changsha, and Zhengzhou have been higher than in Shanghai or Beijing.This development was driven by lower costs in smaller cities, a specialization of their economies, and political measures to support inland cities and ease the pressure on the largest municipalities. Today, per capita GDP in cities such as Suzhou, Nanjing, and Shenzhen is already higher than in Beijing or Shanghai. Future perspectives Competition between cities will further change China’s urban landscape in the future. Medium-sized cities that can provide an attractive economic environment have the potential to grow their economy at a faster pace, attract immigration, and further increase their relative importance. Cities that are losing their competitive edge, however, like Shenyang, Dalian, and other cities in the northeastern rustbelt, are increasingly confronted by economic stagnation and demographic decline.

Population: Household Registration: Death Rate: Sichuan: Chengdu data was reported at 3.850 ‰ in 2023. This records a decrease from the previous number of 12.780 ‰ for 2022. Population: Household Registration: Death Rate: Sichuan: Chengdu data is updated yearly, averaging 6.200 ‰ from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 13.200 ‰ in 2017 and a record low of 3.850 ‰ in 2023. Population: Household Registration: Death Rate: Sichuan: Chengdu data remains active status in CEIC and is reported by Chengdu Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: Household Registration: Natural Growth Rate.

Population: Usual Residence: Natural Growth Rate: Sichuan: Chengdu data was reported at 3.400 ‰ in 2021. This records an increase from the previous number of 3.260 ‰ for 2020. Population: Usual Residence: Natural Growth Rate: Sichuan: Chengdu data is updated yearly, averaging 3.330 ‰ from Dec 2010 (Median) to 2021, with 12 observations. The data reached an all-time high of 6.430 ‰ in 2017 and a record low of 1.940 ‰ in 2010. Population: Usual Residence: Natural Growth Rate: Sichuan: Chengdu data remains active status in CEIC and is reported by Chengdu Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: Usual Residence: Natural Growth Rate.

Population: Usual Residence: Birth Rate: Sichuan: Chengdu data was reported at 7.400 ‰ in 2021. This records a decrease from the previous number of 7.810 ‰ for 2020. Population: Usual Residence: Birth Rate: Sichuan: Chengdu data is updated yearly, averaging 8.385 ‰ from Dec 2010 (Median) to 2021, with 12 observations. The data reached an all-time high of 12.600 ‰ in 2017 and a record low of 6.770 ‰ in 2010. Population: Usual Residence: Birth Rate: Sichuan: Chengdu data remains active status in CEIC and is reported by Chengdu Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: Usual Residence: Natural Growth Rate.

Population: Usual Residence: Death Rate: Sichuan: Chengdu data was reported at 4.000 ‰ in 2021. This records a decrease from the previous number of 4.550 ‰ for 2020. Population: Usual Residence: Death Rate: Sichuan: Chengdu data is updated yearly, averaging 5.595 ‰ from Dec 2010 (Median) to 2021, with 12 observations. The data reached an all-time high of 6.540 ‰ in 2016 and a record low of 4.000 ‰ in 2021. Population: Usual Residence: Death Rate: Sichuan: Chengdu data remains active status in CEIC and is reported by Chengdu Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: Usual Residence: Natural Growth Rate.

The global Disposable Non-woven Strip Cap market is experiencing robust growth, driven by increasing demand within healthcare settings, the rise of hygiene-conscious consumers, and stringent regulations promoting infection control. The market, estimated at $500 million in 2025, is projected to grow at a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033, reaching approximately $850 million by 2033. This growth is fueled by several key factors. The expanding healthcare infrastructure, particularly in developing economies, necessitates a greater supply of disposable medical caps. Simultaneously, heightened awareness of infection prevention and control practices, particularly post-pandemic, is driving adoption across various industries including food processing, pharmaceuticals, and electronics manufacturing. Furthermore, the inherent cost-effectiveness and convenience of disposable caps compared to reusable alternatives significantly contribute to their market penetration. However, fluctuating raw material prices and increasing environmental concerns regarding non-woven waste could pose challenges to market expansion in the coming years. Competitive pressures within the market are notable, with various key players such as YouFu Medical, Chengdu Camphill Clean Technology, and Jiangsu WLD Medical vying for market share. These companies are focusing on product innovation, exploring eco-friendly materials, and expanding their distribution networks to maintain their competitive edge. Regional variations in market growth are anticipated, with regions exhibiting faster economic growth and robust healthcare sectors expected to witness higher adoption rates. The market segmentation is likely to evolve, with increasing demand for specialized caps catering to specific industry needs and enhanced features like superior breathability and comfort. Further research into advanced non-woven materials and sustainable manufacturing processes will likely shape future market trends.

Economic resilience provides a new perspective for megacities to achieve sustainable development when facing multiple shocks, and its accurate evaluation is an essential prerequisite for optimizing urban governance. There are currently no generally accepted methods for empirical evaluation or measuring economic resilience, and the present study aims to contribute to in both the research field and methodology. The present study sets dimensions and indicators based on economic resilience’s theoretical and empirical research and used Decision Making Trial and Evaluation Laboratory (DEMATEL) and Interactive Structural Modeling (ISM) methods to exclude the effect indicators and divide the indicator hierarchy, respectively. Subsequently, the present study conducts model validation using Chinese megacities as a case study. The game theory weighting method, which combines the Analytic Hierarchy Process (AHP) and Entropy methods, is used to calculate indicator weights, and the VIKOR (VIseKriterijumska Optimizacija i KOmpromisno Resenje) method is used to evaluate and compare economic resilience of megacities. The research findings indicate that the evaluation model constructed in the present study included 15 indicators (after excluding three effect indicators) divided into four levels. After merging the levels, they correspond to three dimensions: resistance, recoverability, and adaptability. In addition, using Chinese megacities as a case study, the evaluation results found that Beijing, Shanghai, and Shenzhen have high economic resilience, Tianjin and Guangzhou have moderate economic resilience, Chengdu has low economic resilience, and Chongqing has the lowest economic resilience. This result is consistent with previous studies and verifies the model’s effectiveness. The present study also found that megacities with lower levels of economic resilience exhibit a more significant upward trend, as well as the highest and higher proportion of economic resilience in Chinese megacities depending on time passes, indicating that megacities’ economic resilience is weakening. The evaluation result obtained in the present study is more specific, precise, and focused on depicting the distribution differences and development trends of economic resilience at the urban level.

Economic resilience provides a new perspective for megacities to achieve sustainable development when facing multiple shocks, and its accurate evaluation is an essential prerequisite for optimizing urban governance. There are currently no generally accepted methods for empirical evaluation or measuring economic resilience, and the present study aims to contribute to in both the research field and methodology. The present study sets dimensions and indicators based on economic resilience’s theoretical and empirical research and used Decision Making Trial and Evaluation Laboratory (DEMATEL) and Interactive Structural Modeling (ISM) methods to exclude the effect indicators and divide the indicator hierarchy, respectively. Subsequently, the present study conducts model validation using Chinese megacities as a case study. The game theory weighting method, which combines the Analytic Hierarchy Process (AHP) and Entropy methods, is used to calculate indicator weights, and the VIKOR (VIseKriterijumska Optimizacija i KOmpromisno Resenje) method is used to evaluate and compare economic resilience of megacities. The research findings indicate that the evaluation model constructed in the present study included 15 indicators (after excluding three effect indicators) divided into four levels. After merging the levels, they correspond to three dimensions: resistance, recoverability, and adaptability. In addition, using Chinese megacities as a case study, the evaluation results found that Beijing, Shanghai, and Shenzhen have high economic resilience, Tianjin and Guangzhou have moderate economic resilience, Chengdu has low economic resilience, and Chongqing has the lowest economic resilience. This result is consistent with previous studies and verifies the model’s effectiveness. The present study also found that megacities with lower levels of economic resilience exhibit a more significant upward trend, as well as the highest and higher proportion of economic resilience in Chinese megacities depending on time passes, indicating that megacities’ economic resilience is weakening. The evaluation result obtained in the present study is more specific, precise, and focused on depicting the distribution differences and development trends of economic resilience at the urban level.

The global market for wall-mounted DC energy meters is experiencing robust growth, projected to reach $215 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 8.2% from 2025 to 2033. This expansion is driven by several key factors. The increasing adoption of renewable energy sources, particularly solar power, in both residential and commercial sectors fuels demand for accurate and reliable DC energy monitoring solutions. Furthermore, stringent energy efficiency regulations worldwide mandate precise energy measurement, boosting the adoption of these meters. The rising awareness of energy consumption and the desire for improved energy management practices among consumers and businesses further contribute to market growth. Technological advancements leading to smaller, more efficient, and cost-effective wall-mounted DC energy meters are also significant catalysts. The market segmentation reveals strong demand across various applications, including household, commercial, and industrial settings, with positive merit and reverse active work types catering to diverse user needs. The competitive landscape is marked by a mix of established players and emerging companies, indicating a dynamic and innovative market. North America and Europe currently hold significant market shares, but rapid economic growth in Asia-Pacific is expected to drive substantial market expansion in the coming years. The diverse application segments present opportunities for specialized product development and market penetration. The household segment is likely to see substantial growth driven by increasing rooftop solar installations and smart home technology adoption. The commercial and industrial sectors will benefit from improved energy management capabilities and compliance with regulatory requirements. The ongoing focus on grid modernization and the integration of distributed energy resources are expected to further augment market growth. While challenges may include initial investment costs and technological complexities, the long-term benefits of energy efficiency and cost savings are compelling drivers for widespread adoption of wall-mounted DC energy meters. Continuous innovation and technological advancements in metering technologies, along with supportive government policies, will further propel market expansion during the forecast period.

The global 4-Hydroxypyrimidine market is experiencing robust growth, driven by increasing demand from the pharmaceutical and chemical industries. While precise market size figures for the base year (2025) are not provided, we can extrapolate a reasonable estimate based on typical market dynamics and growth trajectories for similar specialty chemicals. Considering a plausible market size of $250 million in 2025 and a Compound Annual Growth Rate (CAGR) of 6%, the market is projected to reach approximately $370 million by 2033. This growth is primarily fueled by the expanding applications of 4-hydroxypyrimidine in the synthesis of various pharmaceuticals and agrochemicals. The rising prevalence of chronic diseases and the subsequent increase in pharmaceutical production contribute significantly to this upward trend. Furthermore, advancements in chemical synthesis techniques are improving the efficiency and cost-effectiveness of 4-hydroxypyrimidine production, further stimulating market expansion. Segment-wise, the pharmaceutical industry currently holds a larger market share compared to the chemical industry, attributable to its use in the production of key pharmaceutical intermediates. However, the chemical industry segment exhibits significant growth potential, driven by applications in diverse areas like agrochemicals and specialty polymers. Purity levels also play a crucial role; higher purity grades (99%) command premium prices due to their critical use in pharmaceutical applications. Geographically, North America and Europe currently hold considerable market share, owing to the strong presence of established pharmaceutical and chemical companies in these regions. However, rapid economic growth and industrialization in Asia Pacific, particularly in China and India, are expected to drive substantial regional market growth in the coming years. Factors like regulatory hurdles and fluctuations in raw material prices are potential restraints to market growth, requiring manufacturers to adapt to evolving market conditions.

Sichuan: Chengdu: Government Funds Expenditure: Agricultural Land Development Fund data was reported at 84.830 RMB mn in 2023. This records an increase from the previous number of 48.150 RMB mn for 2022. Sichuan: Chengdu: Government Funds Expenditure: Agricultural Land Development Fund data is updated yearly, averaging 48.150 RMB mn from Dec 2019 (Median) to 2023, with 5 observations. The data reached an all-time high of 84.830 RMB mn in 2023 and a record low of 34.880 RMB mn in 2020. Sichuan: Chengdu: Government Funds Expenditure: Agricultural Land Development Fund data remains active status in CEIC and is reported by Chengdu Finance. The data is categorized under China Premium Database’s Government and Public Finance – Table CN.FC: Government Funds Revenue & Expenditure: Sichuan.

The economic linkages between cities within the Yangtze River Economic Belt city cluster are important for precisely implementing the Yangtze River Economic Belt strategy. Accordingly, this study used the revised gravity model, social network method, and spatial Durbin model to analyze the economic linkage strength, spatial-temporal differentiation, and driving factors of the three major city cluster in the Yangtze River Economic Belt from 2006–2020. The results confirm that the Chengdu-Chongqing urban agglomeration has formed a network structure with Chengdu and Chongqing as the two poles; the urban agglomeration in the middle reaches of the Yangtze River has formed a point-axis development pattern of Wuhan, Changsha and Nanchang. The Yangtze River Delta urban agglomeration formed a multi-center radiation and sub-network development pattern. Additionally, the characteristics of network structure significantly affected the flow of factors, the level of economic development was the basis for strengthening communication and cooperation between cities. Meanwhile, the advanced industrial structures played an important role in promoting industrial linkages, and human capital exerts an obvious spatial spillover effect. Therefore, these three major urban agglomerations should implement differentiated development strategies and enhance the synergy of their linkage networks, thus promoting high-quality development.

人口:常住:出生率:四川:成都在12-01-2021达7.400‰，相较于12-01-2020的7.810‰有所下降。人口:常住:出生率:四川:成都数据按年更新，12-01-2010至12-01-2021期间平均值为8.385‰，共12份观测结果。该数据的历史最高值出现于12-01-2017，达12.600‰，而历史最低值则出现于12-01-2010，为6.770‰。CEIC提供的人口:常住:出生率:四川:成都数据处于定期更新的状态，数据来源于成都市统计局，数据归类于中国经济数据库的社会人口 – Table CN.GE: Population: Prefecture Level City: Usual Residence: Natural Growth Rate。