100+ datasets found
  1. F

    Import Price Index: Commercial and service industry machinery manufacturing...

    • fred.stlouisfed.org
    json
    Updated Jan 12, 2017
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    (2017). Import Price Index: Commercial and service industry machinery manufacturing for China (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/COCHNZ3333
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    jsonAvailable download formats
    Dataset updated
    Jan 12, 2017
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Import Price Index: Commercial and service industry machinery manufacturing for China (DISCONTINUED) (COCHNZ3333) from Jun 2012 to Dec 2016 about machinery, China, imports, commercial, services, manufacturing, industry, price index, indexes, and price.

  2. C

    China CN: PMI: Service: Business Activity

    • ceicdata.com
    Updated Oct 15, 2025
    + more versions
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    CEICdata.com (2025). China CN: PMI: Service: Business Activity [Dataset]. https://www.ceicdata.com/en/china/purchasing-managers-index-non-manufacturing-service/cn-pmi-service-business-activity
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    Dataset updated
    Oct 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    China
    Variables measured
    Purchasing Manager Index
    Description

    China PMI: Service: Business Activity data was reported at 49.500 % in Nov 2025. This records a decrease from the previous number of 50.200 % for Oct 2025. China PMI: Service: Business Activity data is updated monthly, averaging 53.600 % from Apr 2012 (Median) to Nov 2025, with 164 observations. The data reached an all-time high of 56.900 % in Mar 2023 and a record low of 30.100 % in Feb 2020. China PMI: Service: Business Activity data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OP: Purchasing Managers' Index: Non Manufacturing: Service.

  3. Manufacturing Purchasing Leader Index (PLI) in China by month 2023-2025

    • statista.com
    Updated Jan 15, 2024
    + more versions
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    Statista (2024). Manufacturing Purchasing Leader Index (PLI) in China by month 2023-2025 [Dataset]. https://www.statista.com/statistics/1611615/china-manufacturing-purchasing-leader-index/
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    Dataset updated
    Jan 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2023 - Oct 2025
    Area covered
    China
    Description

    In October 2025, the Purchasing Leader Index (PLI) in China resided at about ** percent. An indicator of the economic health of the manufacturing sector, the PLI is based on five major indicators: new orders, inventory levels, production, supplier deliveries, and the employment environment. An index value above 50 percent indicates a positive development in the industrial sector, whereas a value below 50 percent indicates a negative situation. The PLI as a major economic indicator The Purchasing Leader Index was first introduced by the US-based Institute of Supply Management in 1948. It has become one of the most widely used and closely watched indicators of business activities worldwide. The PLI is not only an apt indicator for manufacturing growth, it also supports interest rate decisions of central bank institutions. PLI figures around the globe were dominated by the COVID-19 pandemic in 2020. In the Euro area, the PLI recovered from a considerable drop in April 2020, regaining pre-crisis level in June. In the United States, the monthly PLI indicated an even better improvement from low values in April and March. Recent PLI development in China As is shown in the graph at hand, the PLI of China as the world’s second-largest economy dropped considerably in February 2020 due to the coronavirus pandemic. In March, the index indicated a striking rebound and ranged at a level slightly above 50 index points afterwards. During 2021, the index was characterized by a slightly downward trend. In 2022, the index displayed an unstable development with two significant dips in April and December, finally concluding with a strong rebound in January 2023. The non-manufacturing PLI in China displayed a similar development.

  4. Distribution of the workforce across economic sectors in China 2014-2024

    • statista.com
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    Statista, Distribution of the workforce across economic sectors in China 2014-2024 [Dataset]. https://www.statista.com/statistics/270327/distribution-of-the-workforce-across-economic-sectors-in-china/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    The statistic shows the distribution of the workforce across economic sectors in China from 2014 to 2024. In 2024, around 22.2 percent of the workforce were employed in the agricultural sector, 29 percent in the industrial sector and 48.8 percent in the service sector. In 2022, the share of agriculture had increased for the first time in more than two decades, which highlights the difficult situation of the labor market due to the pandemic and economic downturn at the end of the year. Distribution of the workforce in China In 2012, China became the largest exporting country worldwide with an export value of about two trillion U.S. dollars. China’s economic system is largely based on growth and export, with the manufacturing sector being a crucial contributor to the country’s export competitiveness. Economic development was accompanied by a steady rise of labor costs, as well as a significant slowdown in labor force growth. These changes present a serious threat to the era of China as the world’s factory. The share of workforce in agriculture also steadily decreased in China until 2021, while the agricultural gross production value displayed continuous growth, amounting to approximately 7.8 trillion yuan in 2021. Development of the service sector Since 2011, the largest share of China’s labor force has been employed in the service sector. However, compared with developed countries, such as Japan or the United States, where 73 and 79 percent of the work force were active in services in 2023 respectively, the proportion of people working in the tertiary sector in China has been relatively low. The Chinese government aims to continue economic reform by moving from an emphasis on investment to consumption, among other measures. This might lead to a stronger service economy. Meanwhile, the size of the urban middle class in China is growing steadily. A growing number of affluent middle class consumers could promote consumption and help China move towards a balanced economy.

  5. C

    China CN: Service Production Index: YoY: ytd(Real)

    • ceicdata.com
    Updated Oct 15, 2025
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    CEICdata.com (2025). China CN: Service Production Index: YoY: ytd(Real) [Dataset]. https://www.ceicdata.com/en/china/service-production-index/cn-service-production-index-yoy-ytdreal
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    Dataset updated
    Oct 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Oct 1, 2023 - Oct 1, 2024
    Area covered
    China
    Variables measured
    Enterprises Survey
    Description

    China Service Production Index: YoY: Year to Date(Real) data was reported at 5.800 % in Mar 2025. This records an increase from the previous number of 5.600 % for Feb 2025. China Service Production Index: YoY: Year to Date(Real) data is updated monthly, averaging 7.700 % from Mar 2016 (Median) to Mar 2025, with 98 observations. The data reached an all-time high of 31.100 % in Feb 2021 and a record low of -13.000 % in Feb 2020. China Service Production Index: YoY: Year to Date(Real) data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OF: Service Production Index.

  6. Procurement channels for SaaS for manufacturing sector in China 2018

    • statista.com
    Updated Mar 30, 2019
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    Statista (2019). Procurement channels for SaaS for manufacturing sector in China 2018 [Dataset]. https://www.statista.com/statistics/991755/china-most-popular-channel-to-purchase-software-as-a-service-saas-for-manufacturing-business/
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    Dataset updated
    Mar 30, 2019
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    China
    Description

    The statistic shows the leading ways to procure software-as-a-service (SaaS) products or services for manufacturing businesses in China in 2018. In that year, approximately **** percent of the surveyed manufacturing businesses stated that they purchased SaaS services and products via online sales channel of a manufacturer.

  7. Sales value of industrial and service robots in China 2014-2019

    • statista.com
    Updated Nov 27, 2025
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    Statista (2025). Sales value of industrial and service robots in China 2014-2019 [Dataset]. https://www.statista.com/statistics/1090234/china-sales-value-of-industrial-and-service-robots/
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    Dataset updated
    Nov 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2018, the sales value of industrial robots in China amounted to around **** billion U.S. dollars and was forecasted to reach **** billion U.S. dollars in 2019. Industrial robots are largely applied in the manufacturing sector.

  8. Execution value of offshore manufacturing services outsourcing in China...

    • statista.com
    Updated Jul 11, 2025
    + more versions
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    Statista (2025). Execution value of offshore manufacturing services outsourcing in China 2016-2022 [Dataset]. https://www.statista.com/statistics/1464134/china-execution-value-of-offshore-manufacturing-services-outsourcing/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2022, the offshore execution value of manufacturing services outsourcing in China amounted to over ** billion U.S. dollars. China's total outsourcing industry received revenues of ****** billion U.S. dollars from foreign markets that year.

  9. Metal Fabrication in China - Market Research Report (2015-2030)

    • ibisworld.com
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    IBISWorld, Metal Fabrication in China - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/china/market-research-reports/metal-fabrication-industry/
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    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2014 - 2029
    Area covered
    China
    Description

    The Metal Fabrication industry in China has performed well over the past five years. Chinese developing construction and manufacturing sectors have supported industry demand over the period. Over the five years through 2024, industry revenue for the Metal Fabrication industry in China is expected to rise at an annualized 6.6%. This trend includes an expected growth of 5.1% in the current year. In the next five years, the number of enterprises will increase at a CAGR of 2.1%, and the number of establishments will increase at a CAGR of 3.3%.Most of the metal fabrication players are also engaged in the Building Construction and Bridge, Tunnel and Subway Construction industries (IBISWorld industry reports 4710 and 4721). By operating across different sectors, these operators can decrease costs and reduce operating and capital risks. The industry profit margin will be 4.8% in 2024, which is expected to remain low due to rapid increases in raw materials and wages. However, the larger industry players are less vulnerable to these increasing costs, due to their economies of scale and material supply sources.In recent years, the government has continuously formulated and implemented industrial policies, like the Action Plan for Carbon Peak by 2030, and Long-term Goals for 2035 for the Metal Fabrication Industry. These policies will actively stimulate the development of the Metal Fabrication industry in China, which is expected to grow at an annualized 5.9% in the next five years to 2029. Advancements in manufacturing technology and growing demand for industry products are anticipated to support industry products.

  10. Table of full sample estimation results.

    • plos.figshare.com
    xls
    Updated Jul 14, 2023
    + more versions
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    Qiang Wang; Shichao Yuan; Dragana Ostic; Liujun Pan (2023). Table of full sample estimation results. [Dataset]. http://doi.org/10.1371/journal.pone.0286068.t005
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    xlsAvailable download formats
    Dataset updated
    Jul 14, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Qiang Wang; Shichao Yuan; Dragana Ostic; Liujun Pan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This paper firstly demonstrates the positive and negative effects of supply chain finance on the innovation efficiency of China’s small and medium-sized enterprises (SMEs) in the manufacturing industry from the theoretical point of view. Based on the data of 267 manufacturing companies in China Growth Enterprise Market from 2015 to 2019, the DEA-SBM method was used to measure the comprehensive innovation efficiency of different companies, and it was further decomposed into technological innovation efficiency and organizational innovation efficiency. Afterwards, it conducts an empirical analysis through the double fixed effect model, and explores the difference in the impact of supply chain finance on innovation efficiency in enterprises with different industries and different property rights. The results show that supply chain financial services have a strong positive impact on the comprehensive innovation efficiency, technological innovation efficiency and organizational innovation efficiency of manufacturing SMEs. Further, supply chain finance has the most significant improvement on the technological innovation efficiency of the sample of private traditional enterprises, but it has a significant inhibitory effect on the organizational innovation efficiency of the sample of state-owned high-tech enterprises. Therefore, this paper suggests that the development of supply chain financial services should increase support for traditional manufacturing industries; appropriately tilt resources to private enterprises; improve relevant supply chain financial laws and regulations, establish and improve corresponding institutional arrangements, and encourage state-owned enterprises to participate in market competition.

  11. C

    China CN: PMI: Service: New Business

    • ceicdata.com
    Updated Oct 15, 2025
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    CEICdata.com (2025). China CN: PMI: Service: New Business [Dataset]. https://www.ceicdata.com/en/china/purchasing-managers-index-non-manufacturing-service/cn-pmi-service-new-business
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    Dataset updated
    Oct 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    China
    Variables measured
    Purchasing Manager Index
    Description

    China PMI: Service: New Business data was reported at 45.600 % in Nov 2025. This records a decrease from the previous number of 46.000 % for Oct 2025. China PMI: Service: New Business data is updated monthly, averaging 49.300 % from Feb 2012 (Median) to Nov 2025, with 166 observations. The data reached an all-time high of 58.500 % in Mar 2023 and a record low of 27.000 % in Feb 2020. China PMI: Service: New Business data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OP: Purchasing Managers' Index: Non Manufacturing: Service.

  12. Construction Equipment Manufacturing in China - Market Research Report...

    • ibisworld.com
    Updated Nov 9, 2025
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    IBISWorld (2025). Construction Equipment Manufacturing in China - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/china/industry/construction-equipment-manufacturing/507/
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    Dataset updated
    Nov 9, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    China
    Description

    China is one of the largest manufacturing countries and consumers of construction equipment in the world. Revenue for the Construction Equipment Manufacturing industry is expected to decrease at an annualized 9.7% over the five years through 2025, to $46.1 billion. The industry has developed rapidly in the past few years. Industry profit is expected to total 5.6% of revenue in 2025. In the past few years, due to the continuous development of technology, the added value of the industry's products has increased, thus boosting the profit margin. However, the market size of the industry is large, but the competition is also fierce. In order to cope with fierce market competition, industry leading companies have to participate in price war, which further squeezed the industry profit margins. The Government encourages the development of small and medium-sized enterprises, and helps them introduce new production technology and financial support. The number of enterprises increases by 1.7% on average over the five years through 2025. To increase market share and improve competitiveness, large enterprises actively expand overseas markets. The exports have grown rapidly in the past few years, mainly due to technological advances and the increase in construction projects with foreign cooperation. Industry exports are expected to grow at a CAGR of 25.3% over the past five years through 2025, with share of industry revenue increasing from 7.3% in 2020 to 37.3% in 2025. Due to the continuous innovation of manufacturing technology of domestic enterprises, the industry's dependence on competing imports is lower. Over the past five years, the annualized rate of imports has declined by 8.6%. Over the next five years, multiple factors, including the renewal of urban underground pipeline networks, the renovation of old residential communities, and the construction of smart city infrastructure, and implementation of national strategic projects, will continue to provide baseline demand for construction equipment. Industry revenue is expected to increase an annualized 12.0% over the five years through 2030 to total $81.1 billion.

  13. f

    Table_1_Occupational stress and associated risk factors among 13,867...

    • datasetcatalog.nlm.nih.gov
    • frontiersin.figshare.com
    Updated Nov 17, 2022
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    Liu, Baolong; Ding, Xiaowen; Wang, Huining; Bi, Mingli; Lan, Tian; Yan, Tenglong; Niu, Dongsheng; Wu, Jie; Li, Leilei; Xie, Tingting; Ji, Fang; Li, Jue; Cui, Xueting (2022). Table_1_Occupational stress and associated risk factors among 13,867 industrial workers in China.DOCX [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000253597
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    Dataset updated
    Nov 17, 2022
    Authors
    Liu, Baolong; Ding, Xiaowen; Wang, Huining; Bi, Mingli; Lan, Tian; Yan, Tenglong; Niu, Dongsheng; Wu, Jie; Li, Leilei; Xie, Tingting; Ji, Fang; Li, Jue; Cui, Xueting
    Area covered
    China
    Description

    ObjectiveOccupational stress is a critical global public health problem. We aimed to evaluate the prevalence of occupational stress among the workers in the electricity, heat, gas, water production and supply (EHGWPS), manufacturing, and transportation industries in Beijing, China. We explored the demographic differences in occupational stress status among workers in industrial enterprises.MethodsA cross-sectional study was conducted on 13,867 workers. The self-administered New Brief Job Stress Questionnaire was used to evaluate high occupational stress status, which includes four sub-dimensions (job stressors, stress response, social support, job stressors & social support). Multiple regression and logistic regression models were used to estimate the association between high occupational stress and the four occupational stress sub-dimensions with risk factors.ResultsA total of 13,867 workers were included. The prevalence of high occupational stress was 3.3% in the EHGWPS industries, 10.3% in manufacturing, and 5.8% in transportation. The prevalence of high occupational stress was higher than in the other two categories (p < 0.05) in manufacturing industries. Logistic regression analysis showed that male workers with lower educational status, more job experience, and working in manufacturing were vulnerable to high occupational stress. Further analysis of the four occupational stress sub-dimensions showed that male workers, older adult workers, workers with lower educational levels, and longer working time were associated with higher scores in job stressors, stress response, social support, and job stress & social support (all p < 0.05). Moreover, divorced or widowed workers had higher occupational stress scores.ConclusionMale workers with lower educational levels and longer working time may have an increased risk of occupational stress.

  14. d

    Manufacturing Company Data | Chemicals & Manufacturing Executives in Asia |...

    • datarade.ai
    Updated Jan 1, 2018
    + more versions
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    Success.ai (2018). Manufacturing Company Data | Chemicals & Manufacturing Executives in Asia | Verified Global Profiles from 700M+ Dataset | Best Price Guarantee [Dataset]. https://datarade.ai/data-products/manufacturing-company-data-chemicals-manufacturing-execut-success-ai
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    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 1, 2018
    Dataset provided by
    Success.ai
    Area covered
    Asia, State of, Timor-Leste, Azerbaijan, Malaysia, Lebanon, Israel, Bhutan, Korea (Republic of), Turkey, Cambodia
    Description

    Success.ai’s Manufacturing Company Data for Chemicals & Manufacturing Executives in Asia provides a robust dataset tailored to businesses seeking to connect with decision-makers in the chemical and manufacturing industries across Asia. Covering executives, operations managers, and procurement leaders, this dataset offers verified email addresses, phone numbers, and detailed company insights.

    With access to over 700 million verified global profiles and data from 170 million professional datasets, Success.ai ensures your outreach, market research, and partnership development efforts are powered by accurate, continuously updated, and AI-validated information. Backed by our Best Price Guarantee, this solution is designed to help businesses thrive in Asia’s fast-evolving manufacturing sector.

    Why Choose Success.ai’s Manufacturing Company Data?

    1. Verified Contact Data for Precision Outreach

      • Access verified work emails, direct phone numbers, and LinkedIn profiles of manufacturing executives, chemical engineers, and operations leaders.
      • AI-driven validation ensures 99% accuracy, optimizing campaign efficiency and reducing communication errors.
    2. Comprehensive Coverage Across Asia’s Manufacturing Sector

      • Includes profiles of companies from manufacturing hubs such as China, India, Japan, South Korea, and Southeast Asia.
      • Gain insights into regional trends, supply chain dynamics, and market opportunities in Asia’s diverse manufacturing landscape.
    3. Continuously Updated Datasets

      • Real-time updates reflect changes in leadership, company expansions, and market activities.
      • Stay aligned with the fast-paced nature of the manufacturing and chemical industries to seize opportunities effectively.
    4. Ethical and Compliant

      • Adheres to GDPR, CCPA, and other global privacy regulations, ensuring responsible and lawful use of data.

    Data Highlights:

    • 700M+ Verified Global Profiles: Engage with executives, engineers, and operational leaders in Asia’s manufacturing and chemical industries.
    • 170M Professional Datasets: Access verified contact details and actionable insights for strategic outreach and business growth.
    • Company Insights: Gain visibility into company structures, production capacities, and market positioning.
    • Decision-Maker Contacts: Connect directly with CEOs, production managers, and procurement officers driving industry innovation.

    Key Features of the Dataset:

    1. Leadership Profiles in Chemicals & Manufacturing

      • Identify and connect with professionals responsible for operations, supply chain management, and research and development in the chemical and manufacturing sectors.
      • Target decision-makers overseeing material procurement, technology integration, and compliance.
    2. Advanced Filters for Precision Targeting

      • Filter companies by industry segment (chemical manufacturing, industrial machinery, consumer goods), geographic location, or revenue size.
      • Align campaigns to address specific industry challenges, such as sustainability, cost management, or operational efficiency.
    3. Firmographic Insights and Company Data

      • Access detailed firmographic data, including company hierarchies, operational scopes, and market presence.
      • Use these insights to identify high-value prospects and tailor your approach effectively.
    4. AI-Driven Enrichment

      • Profiles enriched with actionable data enable personalized messaging, highlight unique value propositions, and improve engagement outcomes with manufacturing professionals.

    Strategic Use Cases:

    1. Sales and Vendor Development

      • Present products, services, or equipment tailored to the needs of chemical manufacturers and industrial production companies.
      • Build relationships with procurement teams and operations managers seeking innovative solutions to streamline processes.
    2. Market Research and Competitive Analysis

      • Analyze trends in Asia’s manufacturing and chemical sectors to guide product innovation and strategic planning.
      • Benchmark against competitors to identify growth opportunities, market gaps, and emerging technologies.
    3. Supply Chain Optimization and Partnership Development

      • Engage with manufacturers seeking reliable suppliers, logistics partners, or co-manufacturers to support their operations.
      • Foster alliances that enhance efficiency, scalability, and quality in supply chain networks.
    4. Regulatory Compliance and Risk Mitigation

      • Connect with compliance officers and risk managers ensuring adherence to regional and global manufacturing standards.
      • Offer solutions that streamline compliance reporting, quality assurance, and risk management.

    Why Choose Success.ai?

    1. Best Price Guarantee

      • Access premium-quality manufacturing data at competitive prices, ensuring strong ROI for your marketing, sales, and partnership initiatives.
    2. Seamless I...

  15. T

    China Industrial Production

    • tradingeconomics.com
    • es.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 14, 2025
    + more versions
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    TRADING ECONOMICS (2025). China Industrial Production [Dataset]. https://tradingeconomics.com/china/industrial-production
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    xml, csv, json, excelAvailable download formats
    Dataset updated
    Nov 14, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1990 - Oct 31, 2025
    Area covered
    China
    Description

    Industrial Production in China increased 4.90 percent in October of 2025 over the same month in the previous year. This dataset provides - China Industrial Production - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  16. "manufacturing development" strategy and high-quality development of China's...

    • plos.figshare.com
    xls
    Updated Jun 14, 2023
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    Dan He; Jialiang Yang; Zhengming Wang; Wenchao Li (2023). "manufacturing development" strategy and high-quality development of China's logistics industry: Single variable t-test results. [Dataset]. http://doi.org/10.1371/journal.pone.0235292.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 14, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Dan He; Jialiang Yang; Zhengming Wang; Wenchao Li
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    China
    Description

    "manufacturing development" strategy and high-quality development of China's logistics industry: Single variable t-test results.

  17. Forecast: Fossil Fuel Production Support in China 2024 - 2028

    • reportlinker.com
    Updated Apr 8, 2024
    + more versions
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    ReportLinker (2024). Forecast: Fossil Fuel Production Support in China 2024 - 2028 [Dataset]. https://www.reportlinker.com/dataset/59e5968aaf23394a3c8101ecf9f242c9049750b1
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    Dataset updated
    Apr 8, 2024
    Dataset authored and provided by
    ReportLinker
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    China
    Description

    Forecast: Fossil Fuel Production Support in China 2024 - 2028 Discover more data with ReportLinker!

  18. f

    china manufacturing enterprise.xlsx

    • figshare.com
    xlsx
    Updated May 14, 2022
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    平磊 徐 (2022). china manufacturing enterprise.xlsx [Dataset]. http://doi.org/10.6084/m9.figshare.19766950.v1
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    xlsxAvailable download formats
    Dataset updated
    May 14, 2022
    Dataset provided by
    figshare
    Authors
    平磊 徐
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    China
    Description

    the data come from the the world bank china enterprise survey service module(2012).

  19. m

    China Plasmid DNA Manufacturing Market Size, Share, Trends and Forecasts...

    • mobilityforesights.com
    pdf
    Updated Aug 18, 2025
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    Mobility Foresights (2025). China Plasmid DNA Manufacturing Market Size, Share, Trends and Forecasts 2031 [Dataset]. https://mobilityforesights.com/product/china-plasmid-dna-manufacturing-market
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Aug 18, 2025
    Dataset authored and provided by
    Mobility Foresights
    License

    https://mobilityforesights.com/page/privacy-policyhttps://mobilityforesights.com/page/privacy-policy

    Description

    In China Plasmid DNA Manufacturing Market, offering valuable insights, key market trends, competitive landscape, and future outlook to support strategic decision.

  20. Consumption volume of industrial robots in China 2015-2017, by sector

    • statista.com
    Updated Jul 18, 2025
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    Statista (2025). Consumption volume of industrial robots in China 2015-2017, by sector [Dataset]. https://www.statista.com/statistics/1090237/china-consumption-of-industrial-robots-in-automobile-and-electronics-sector/
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    Dataset updated
    Jul 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2017, the automobile sector in China consumed around ******* units of industrial robots. Industrial robots are largely applied in the manufacturing sector.

Share
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Email
Click to copy link
Link copied
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(2017). Import Price Index: Commercial and service industry machinery manufacturing for China (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/COCHNZ3333

Import Price Index: Commercial and service industry machinery manufacturing for China (DISCONTINUED)

COCHNZ3333

Explore at:
jsonAvailable download formats
Dataset updated
Jan 12, 2017
License

https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

Description

Graph and download economic data for Import Price Index: Commercial and service industry machinery manufacturing for China (DISCONTINUED) (COCHNZ3333) from Jun 2012 to Dec 2016 about machinery, China, imports, commercial, services, manufacturing, industry, price index, indexes, and price.

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