The liabilities of China Resources Microelectronics Limited with headquarters in China amounted to 5.58 billion yuan in 2023. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2020 this is a total increase by approximately 0.77 billion yuan. The trend from 2020 to 2023 shows, however, that this increase did not happen continuously.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

The total equity of China Resources Microelectronics Limited with headquarters in China amounted to 23.63 billion yuan in 2023. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2020 this is a total increase by approximately 11.83 billion yuan. The trend from 2020 to 2023 shows, furthermore, that this increase happened continuously.

China Fossil Fuels: Tax Revenue: % of Total Tax Revenue: Resources data was reported at 1.403 % in 2022. This records an increase from the previous number of 0.947 % for 2021. China Fossil Fuels: Tax Revenue: % of Total Tax Revenue: Resources data is updated yearly, averaging 0.848 % from Dec 2007 (Median) to 2022, with 16 observations. The data reached an all-time high of 1.403 % in 2022 and a record low of 0.553 % in 2008. China Fossil Fuels: Tax Revenue: % of Total Tax Revenue: Resources data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s China – Table CN.OECD.ESG: Environmental: Environmentally Related Tax Revenue: Natural Resource Management Domains: Non OECD Member: Annual.

Hong Kong SAR (China) Material Resources: Direct Material Input: Biomass: Wood data was reported at 0.557 Tonne mn in 2024. This records an increase from the previous number of 0.545 Tonne mn for 2023. Hong Kong SAR (China) Material Resources: Direct Material Input: Biomass: Wood data is updated yearly, averaging 1.440 Tonne mn from Dec 1970 (Median) to 2024, with 55 observations. The data reached an all-time high of 6.753 Tonne mn in 1997 and a record low of 0.518 Tonne mn in 2021. Hong Kong SAR (China) Material Resources: Direct Material Input: Biomass: Wood data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Hong Kong SAR (China) – Table HK.OECD.ESG: Environmental: Material Resources by Material Groups: Non OECD Member: Annual.

Macau SAR (China) Material Resources: Imports: Non Metallic Minerals: Other data was reported at 0.076 Tonne mn in 2024. This records an increase from the previous number of 0.074 Tonne mn for 2023. Macau SAR (China) Material Resources: Imports: Non Metallic Minerals: Other data is updated yearly, averaging 0.113 Tonne mn from Dec 1970 (Median) to 2024, with 55 observations. The data reached an all-time high of 44.729 Tonne mn in 1993 and a record low of 0.000 Tonne mn in 2017. Macau SAR (China) Material Resources: Imports: Non Metallic Minerals: Other data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Macau SAR (China) – Table MO.OECD.ESG: Environmental: Material Resources by Material Groups: Non OECD Member: Annual.

Macau SAR (China) Material Resources: Domestic Extraction Used: Biomass: Food data was reported at 0.002 Tonne mn in 2024. This records an increase from the previous number of 0.002 Tonne mn for 2023. Macau SAR (China) Material Resources: Domestic Extraction Used: Biomass: Food data is updated yearly, averaging 0.002 Tonne mn from Dec 1970 (Median) to 2024, with 55 observations. The data reached an all-time high of 0.009 Tonne mn in 1978 and a record low of 0.002 Tonne mn in 1996. Macau SAR (China) Material Resources: Domestic Extraction Used: Biomass: Food data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Macau SAR (China) – Table MO.OECD.ESG: Environmental: Material Resources by Material Groups: Non OECD Member: Annual.

China Soil Pollution: Tax Revenue: USD: 2015 PPP: Resources data was reported at 73.548 USD bn in 2022. This records an increase from the previous number of 50.795 USD bn for 2021. China Soil Pollution: Tax Revenue: USD: 2015 PPP: Resources data is updated yearly, averaging 12.386 USD bn from Dec 1998 (Median) to 2022, with 25 observations. The data reached an all-time high of 73.548 USD bn in 2022 and a record low of 2.772 USD bn in 1998. China Soil Pollution: Tax Revenue: USD: 2015 PPP: Resources data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s China – Table CN.OECD.ESG: Environmental: Environmentally Related Tax Revenue: Environmental Protection Domains: Non OECD Member: Annual.

The operating profit of China Resources Microelectronics Limited with headquarters in China amounted to 1.4 billion yuan in 2023. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2020 this is a total increase by approximately 448.6 million yuan. The trend from 2020 to 2023 shows, however, that this increase did not happen continuously.

China Mercury: Tax Revenue: USD: 2015 PPP: Resources data was reported at 73.548 USD bn in 2022. This records an increase from the previous number of 50.795 USD bn for 2021. China Mercury: Tax Revenue: USD: 2015 PPP: Resources data is updated yearly, averaging 12.386 USD bn from Dec 1998 (Median) to 2022, with 25 observations. The data reached an all-time high of 73.548 USD bn in 2022 and a record low of 2.772 USD bn in 1998. China Mercury: Tax Revenue: USD: 2015 PPP: Resources data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s China – Table CN.OECD.ESG: Environmental: Environmentally Related Tax Revenue: Cross Cutting Domains: Non OECD Member: Annual.

China Land Degradation: Tax Revenue per Capita: 2015 PPP: Resources data was reported at 0.000 USD in 2022. This stayed constant from the previous number of 0.000 USD for 2021. China Land Degradation: Tax Revenue per Capita: 2015 PPP: Resources data is updated yearly, averaging 0.000 USD from Dec 1994 (Median) to 2022, with 29 observations. The data reached an all-time high of 0.000 USD in 2022 and a record low of 0.000 USD in 2022. China Land Degradation: Tax Revenue per Capita: 2015 PPP: Resources data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s China – Table CN.OECD.ESG: Environmental: Environmentally Related Tax Revenue: Cross Cutting Domains: Non OECD Member: Annual.

Abstract

Syngenta is committed to increasing crop productivity and to using limited resources such as land, water and inputs more efficiently. Since 2014, Syngenta has been measuring trends in agricultural input efficiency on a global network of real farms. The Good Growth Plan dataset shows aggregated productivity and resource efficiency indicators by harvest year. The data has been collected from more than 4,000 farms and covers more than 20 different crops in 46 countries. The data (except USA data and for Barley in UK, Germany, Poland, Czech Republic, France and Spain) was collected, consolidated and reported by Kynetec (previously Market Probe), an independent market research agency. It can be used as benchmarks for crop yield and input efficiency.

Geographic coverage

National coverage

Analysis unit

Agricultural holdings

Kind of data

Sample survey data [ssd]

Sampling procedure

A. Sample design Farms are grouped in clusters, which represent a crop grown in an area with homogenous agro- ecological conditions and include comparable types of farms. The sample includes reference and benchmark farms. The reference farms were selected by Syngenta and the benchmark farms were randomly selected by Kynetec within the same cluster.

B. Sample size Sample sizes for each cluster are determined with the aim to measure statistically significant increases in crop efficiency over time. This is done by Kynetec based on target productivity increases and assumptions regarding the variability of farm metrics in each cluster. The smaller the expected increase, the larger the sample size needed to measure significant differences over time. Variability within clusters is assumed based on public research and expert opinion. In addition, growers are also grouped in clusters as a means of keeping variances under control, as well as distinguishing between growers in terms of crop size, region and technological level. A minimum sample size of 20 interviews per cluster is needed. The minimum number of reference farms is 5 of 20. The optimal number of reference farms is 10 of 20 (balanced sample).

C. Selection procedure The respondents were picked randomly using a “quota based random sampling” procedure. Growers were first randomly selected and then checked if they complied with the quotas for crops, region, farm size etc. To avoid clustering high number of interviews at one sampling point, interviewers were instructed to do a maximum of 5 interviews in one village.

Screened China BF were from Licheng Town ( Liyang City, Jiangsu province) + Dinggou Town (Jiangdu District, Yangzhou city, Jiangsu province) + Shuikou Town (Tianchang city, Anhui Province) and were selected based on the following criterion: - Rice rotation with wheat growers (professional)
- Professional farmer with rice being main income source
- Mechanical planting
- Co-op operation: Co-op operation means a local professional farmer who leases small fragmented pieces of lands from his neighbors (consolidation) to make it bigger and commercial farming scale
- Receive tech supports from CP suppliers or dealers
- Hire labor
- Suggest mechanical, Co-op type of farmers as benchmark farms. Compare SYT vs generic products. Rice-wheat rotation.

Mode of data collection

Face-to-face [f2f]

Research instrument

Data collection tool for 2019 covered the following information:

(A) PRE- HARVEST INFORMATION

PART I: Screening PART II: Contact Information PART III: Farm Characteristics a. Biodiversity conservation b. Soil conservation c. Soil erosion d. Description of growing area e. Training on crop cultivation and safety measures PART IV: Farming Practices - Before Harvest a. Planting and fruit development - Field crops b. Planting and fruit development - Tree crops c. Planting and fruit development - Sugarcane d. Planting and fruit development - Cauliflower e. Seed treatment

(B) HARVEST INFORMATION

PART V: Farming Practices - After Harvest a. Fertilizer usage b. Crop protection products c. Harvest timing & quality per crop - Field crops d. Harvest timing & quality per crop - Tree crops e. Harvest timing & quality per crop - Sugarcane f. Harvest timing & quality per crop - Banana g. After harvest PART VI - Other inputs - After Harvest a. Input costs b. Abiotic stress c. Irrigation

See all questionnaires in external materials tab

Cleaning operations

Data processing:

Kynetec uses SPSS (Statistical Package for the Social Sciences) for data entry, cleaning, analysis, and reporting. After collection, the farm data is entered into a local database, reviewed, and quality-checked by the local Kynetec agency. In the case of missing values or inconsistencies, farmers are re-contacted. In some cases, grower data is verified with local experts (e.g. retailers) to ensure data accuracy and validity. After country-level cleaning, the farm-level data is submitted to the global Kynetec headquarters for processing. In the case of missing values or inconsistences, the local Kynetec office was re-contacted to clarify and solve issues.

Quality assurance Various consistency checks and internal controls are implemented throughout the entire data collection and reporting process in order to ensure unbiased, high quality data.

• Screening: Each grower is screened and selected by Kynetec based on cluster-specific criteria to ensure a comparable group of growers within each cluster. This helps keeping variability low.

• Evaluation of the questionnaire: The questionnaire aligns with the global objective of the project and is adapted to the local context (e.g. interviewers and growers should understand what is asked). Each year the questionnaire is evaluated based on several criteria, and updated where needed.

• Briefing of interviewers: Each year, local interviewers - familiar with the local context of farming -are thoroughly briefed to fully comprehend the questionnaire to obtain unbiased, accurate answers from respondents.

• Cross-validation of the answers: o Kynetec captures all growers' responses through a digital data-entry tool. Various logical and consistency checks are automated in this tool (e.g. total crop size in hectares cannot be larger than farm size) o Kynetec cross validates the answers of the growers in three different ways: 1. Within the grower (check if growers respond consistently during the interview) 2. Across years (check if growers respond consistently throughout the years) 3. Within cluster (compare a grower's responses with those of others in the group) o All the above mentioned inconsistencies are followed up by contacting the growers and asking them to verify their answers. The data is updated after verification. All updates are tracked.

• Check and discuss evolutions and patterns: Global evolutions are calculated, discussed and reviewed on a monthly basis jointly by Kynetec and Syngenta.

• Sensitivity analysis: sensitivity analysis is conducted to evaluate the global results in terms of outliers, retention rates and overall statistical robustness. The results of the sensitivity analysis are discussed jointly by Kynetec and Syngenta.

• It is recommended that users interested in using the administrative level 1 variable in the location dataset use this variable with care and crosscheck it with the postal code variable.

Data appraisal

Due to the above mentioned checks, irregularities in fertilizer usage data were discovered which had to be corrected:

For data collection wave 2014, respondents were asked to give a total estimate of the fertilizer NPK-rates that were applied in the fields. From 2015 onwards, the questionnaire was redesigned to be more precise and obtain data by individual fertilizer products. The new method of measuring fertilizer inputs leads to more accurate results, but also makes a year-on-year comparison difficult. After evaluating several solutions to this problems, 2014 fertilizer usage (NPK input) was re-estimated by calculating a weighted average of fertilizer usage in the following years.

Chongqing Shale Gas Exploration and Development Co., Ltd. (CSGED) is undertaking the construction of the Chongqing Natural Resource Processing Plant project in Chongqing, China.Chongqing Shale Gas Exploration and Development Co., Ltd. is a joint venture company of China National Petroleum Corporation (40%), SDIC Chongqing Shale Gas Co., Ltd (39%), Sinochem Petroleum Exploration and Production Co., Ltd (20%) and Chongqing Institute of Geology and Mineral Resources (1%).The project involves the construction of a natural resources processing plant. It includes construction of a processing unit, storage tanks, warehouses, a coal port, coal reserves units and other related facilities, installation of vaporisation units and temperature control systems.The project also includes construction of a coal port and set up an emergency coal reserve for the country.On June 26, SDIC signed a strategic cooperative framework agreement with the Chongqing municipal government to shale gas exploration and utilisation.On August 16, 2012, the Chongqing Municipal Government held thematic workshops of the city's shale gas development.In the fourth quarter of 2014, construction commenced.Construction activities are underway. Read More

The net income of China Resources Microelectronics Limited with headquarters in China amounted to 1.5 billion yuan in 2023. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2020 this is a total increase by approximately 515.61 million yuan. The trend from 2020 to 2023 shows, however, that this increase did not happen continuously.

The gross profit of China Resources Microelectronics Limited with headquarters in China amounted to 3.19 billion yuan in 2023. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2020 this is a total increase by approximately 1.27 billion yuan. The trend from 2020 to 2023 shows, however, that this increase did not happen continuously.

Direct and indirect effects from the structural model.

Abstract

Polluted air is a major health hazard in developing countries. Improvements in pollution monitoring and statistical techniques during the last several decades have steadily enhanced the ability to measure the health effects of air pollution. Current methods can detect significant increases in the incidence of cardiopulmonary and respiratory diseases, coughing, bronchitis, and lung cancer, as well as premature deaths from these diseases resulting from elevated concentrations of ambient Particulate Matter (Holgate 1999).

Scarce public resources have limited the monitoring of atmospheric particulate matter (PM) concentrations in developing countries, despite their large potential health effects. As a result, policymakers in many developing countries remain uncertain about the exposure of their residents to PM air pollution. The Global Model of Ambient Particulates (GMAPS) is an attempt to bridge this information gap through an econometrically estimated model for predicting PM levels in world cities (Pandey et al. forthcoming).

The estimation model is based on the latest available monitored PM pollution data from the World Health Organization, supplemented by data from other reliable sources. The current model can be used to estimate PM levels in urban residential areas and non-residential pollution hotspots. The results of the model are used to project annual average ambient PM concentrations for residential and non-residential areas in 3,226 world cities with populations larger than 100,000, as well as national capitals.

The study finds wide, systematic variations in ambient PM concentrations, both across world cities and over time. PM concentrations have risen at a slower rate than total emissions. Overall emission levels have been rising, especially for poorer countries, at nearly 6 percent per year. PM concentrations have not increased by as much, due to improvements in technology and structural shifts in the world economy. Additionally, within-country variations in PM levels can diverge greatly (by a factor of 5 in some cases), because of the direct and indirect effects of geo-climatic factors.

The primary determinants of PM concentrations are the scale and composition of economic activity, population, the energy mix, the strength of local pollution regulation, and geographic and atmospheric conditions that affect pollutant dispersion in the atmosphere.

Geographic coverage

The database covers the following countries: Afghanistan Albania Algeria Andorra Angola
Antigua and Barbuda Argentina
Armenia Australia
Austria Azerbaijan
Bahamas, The
Bahrain Bangladesh
Barbados
Belarus Belgium Belize
Benin
Bhutan
Bolivia Bosnia and Herzegovina
Brazil
Brunei
Bulgaria
Burkina Faso
Burundi Cambodia
Cameroon
Canada
Cayman Islands
Central African Republic
Chad
Chile
China
Colombia
Comoros Congo, Dem. Rep.
Congo, Rep. Costa Rica
Cote d'Ivoire
Croatia Cuba
Cyprus
Czech Republic
Denmark Dominica
Dominican Republic
Ecuador Egypt, Arab Rep.
El Salvador Eritrea Estonia Ethiopia
Faeroe Islands
Fiji
Finland France
Gabon
Gambia, The Georgia Germany Ghana
Greece
Grenada Guatemala
Guinea
Guinea-Bissau
Guyana
Haiti
Honduras
Hong Kong, China
Hungary Iceland India
Indonesia
Iran, Islamic Rep.
Iraq
Ireland Israel
Italy
Jamaica Japan
Jordan
Kazakhstan
Kenya
Korea, Dem. Rep.
Korea, Rep. Kuwait
Kyrgyz Republic Lao PDR Latvia
Lebanon Lesotho Liberia Liechtenstein
Lithuania
Luxembourg
Macao, China
Macedonia, FYR
Madagascar
Malawi
Malaysia
Maldives
Mali
Mauritania
Mexico
Moldova Mongolia
Morocco Mozambique
Myanmar Namibia Nepal
Netherlands Netherlands Antilles
New Caledonia
New Zealand Nicaragua
Niger
Nigeria Norway
Oman
Pakistan
Panama
Papua New Guinea
Paraguay
Peru
Philippines Poland
Portugal
Puerto Rico Qatar
Romania Russian Federation
Rwanda
Sao Tome and Principe
Saudi Arabia
Senegal Sierra Leone
Singapore
Slovak Republic Slovenia
Solomon Islands Somalia South Africa
Spain
Sri Lanka
St. Kitts and Nevis St. Lucia
St. Vincent and the Grenadines
Sudan
Suriname
Swaziland
Sweden
Switzerland Syrian Arab Republic
Tajikistan
Tanzania
Thailand
Togo
Trinidad and Tobago Tunisia Turkey
Turkmenistan
Uganda
Ukraine United Arab Emirates
United Kingdom
United States
Uruguay Uzbekistan
Vanuatu Venezuela, RB
Vietnam Virgin Islands (U.S.)
Yemen, Rep. Yugoslavia, FR (Serbia/Montenegro)
Zambia
Zimbabwe

Kind of data

Observation data/ratings [obs]

Mode of data collection

Other [oth]

The State Government Of Bahia is developing the Aritagua Complex Porto Sul project at Aritagua, Northern Coast of Ilheus, in the state of Bahia, Brazil.The project involves the construction of a Public Port, a Logistical Support Area (ZAL), a Private Use Terminal (TUP) and an Environmental Protection Area (EPA).The Complex Porto Sul will be built on the northern coast of Ilheus, between the villages of Aritaguá and Sambaituba. Aritagua is located near the left of the Rio Almada, west of the BA-001 (Highway Ilheus / Itacare), with the location of Ponta da Tulha to the north and Porto, do Malhado to the South.The project will be developed with the investment of state government, the federal government through (PAC) and private sector with Public-private Partnership model.The Public Port is expected to operate with a nominal capacity to export 75 million tons per year and imports 5 million tons. Included in this capacity is expected to move products such as iron ore, clinker, soybeans, ethanol and fertilizer, and other bulk solids.In August 2012, the project was in the process of submitting EIA (Environmental Impact Assessment and Reporting Environmental Impact Assessment) prepared for the implementation of the Intermodal Complex. The preliminary environmental license for the project has been being released by Instituto Brasileiro do Meio Ambiente e dos Recursos Naturais Renováveis (Ibama) on November 14, 2012. The project will be developed under Agência Nacional de Transportes Aquaviários (Antaq). In January 2014, Antaq approved the preliminary environmental license for developing the project. In March 2014, environmental viability of the project has reevaluated and confirmed by IBAMA. In September 2014, the installation license (LI) has been released by from IBAMA. The Chinese Fund for Investment in Latin America (CLAI-Fund) and China Railway Engineering Group n.10 (CREC 10) will build, operate and finance the project.In March 2016, Chinese Fund for Investment in Latin America (CLAI-Fund), China Railway Engineering Group n.10 (CREC 10) signed the memorandum of understanding (MoU) with State Government of Bahia and Bahia Mineração (Bamin) to build, operate and finance the project.In September 2017, the State Government of Bahia signed an agreement to cooperate for the fully integrated development of the Porto Sul with Chinese companies (China Railway Group Limited; China Communications Construction Company Ltd; Minmetals Development Co. Ltd; Shougang Fushan Resources Group Limited; and Dalian Huarui Heavy Industry Group Co. Ltd.) and the Eurasian Resources Group, a shareholder of Bahia Mineração.In February 2018, a MoU has been signed between Bamin and the Chinese investors which allow institutions to discuss the project's business for the training of a future joint venture, the alliance between companies to carry out common economic activity.Planning activities are underway to start the construction works. Read More

The net cash of China Resources Microelectronics Limited with headquarters in China amounted to 1.74 billion yuan in 2023. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2020 this is a total decrease by approximately 0.09 billion yuan. The trend from 2020 to 2023 shows, however, that this decrease did not happen continuously.

The liabilities of China Resources Chemical Innovative Materials Co., Ltd. with headquarters in China amounted to 3.32 billion yuan in 2023. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2020 this is a total increase by approximately 0.81 billion yuan. The trend from 2020 to 2023 shows, however, that this increase did not happen continuously.