• The Core Journal of China
  • Included in Chinese Science Citation Database
  • The Key Magazine of China technology
  • Frontrunner 5000—Top Articles in Outstanding S&T Journals of China
  • Included in Scopus
  • Included in Chemical Abstracts (CA)
  • Included in Russian Abstract Journal (AJ)
Advanced Search
Pan Zhaoshuai, Zhang Zhaozhi, Che Dong, Zhang Tao, Zhang Lanying, Yang Wei. 2024. Characteristics and demand analysis of silver resources in China under the background of new energy[J]. Geology in China, 51(5): 1554−1569. DOI: 10.12029/gc20221113002
Citation: Pan Zhaoshuai, Zhang Zhaozhi, Che Dong, Zhang Tao, Zhang Lanying, Yang Wei. 2024. Characteristics and demand analysis of silver resources in China under the background of new energy[J]. Geology in China, 51(5): 1554−1569. DOI: 10.12029/gc20221113002

Characteristics and demand analysis of silver resources in China under the background of new energy

Funds: Supported by the project of China Geological Survey (No.DD20221694).
More Information
  • Author Bio:

    PAN Zhaoshuai, male, born in 1994, Ph.D. candidate, engaged in the resource industry economy; E-mail: 996817743@qq.com

  • Corresponding author:

    ZHANG Zhaozhi, male, born in 1967, researcher, engaged in the mineral resource industry economy; E-mail: 1264124110@qq.com.

  • Received Date: November 12, 2022
  • Revised Date: January 03, 2023
  • Available Online: February 03, 2024
  • This paper is the result of mineral exploration engineering.

    Objective 

    Silver, as an important precious metal, has both industrial and financial properties and is crucial to promote national economic and social development. It is important to systematically analyze the characteristics of silver resources and demand trends for emission reduction and resource security in China.

    Methods 

    From the perspective of the development of the silver industry, the characteristics of the application, geology, supply and demand and market of silver are summarized in China. According to the demand driven difference between industrial silver and non−industrial silver, the demand of silver is predicted using S−curve and ARIMA models in China from 2022 to 2035.

    Results 

    Based on the resource status and demand forecast results of silver mines, the following results are obtained: (1) Silver mines have the geological characteristics of "four more and four less". It means that the total amount of resources is large and the available resources are few; more small deposits, less large deposits; more lean ore, less rich ore; more concomitant deposits, fewer independent deposits; (2) With the continuous growth of silver application field, domestic mine resources and renewable resources cannot meet the demand, so it is necessary to import silver ore and other concentrates (used to produce silver by−products, such as lead concentrates, zinc concentrates, etc.) to supplement the gap; (3) From 2022 to 2035, the demand for silver in China will continue to grow, from 5800 t to 9500 t, with an average annual growth rate of about 3.7%; (4) From 2022 to 2035, the demand for industrial silver in China will grow rapidly, from 3800 t to 7000 t, with an average annual growth rate of 4.4%. Photovoltaic systems are the main field driving the growth of industrial silver demand; (5) From 2022 to 2035, the demand for non−industrial silver in China will grow slowly, from 2000 t to 2500 t, with an average annual growth rate of 1.7%.

    Conclusions 

    Based on the above research results, in order to promote the development of the silver industry chain, the following suggestions are put forward: (1) The position and role of silver in the future national economy should be paid more attention; (2) A variety of ways should be adopted to ensure the supply capacity of silver resources; (3) The added value of industrial silver products should be improved to provide guarantee for energy transformation and high−end manufacturing by increasing technological innovation and carrying out deep processing; (4) The national and private silver reserve and security system should be established to avoid large fluctuations in silver prices.

    Highlights
    (1) According to the resource characteristics and consumption status of silver in China, the demand is predicted using the S−curve and ARIMA models; (2) The two−phase S−curve wave of industrial silver consumption in developed countries was summarized and proposed, and the law is applied to the demand forecast of industrial silver in China.
  • [1]
    Chen Qishen, Wang Gaoshang, Wang Anjian. 2010. An analysis of the three turning points in the “S–shape” rule of copper and aluminum demand[J]. Acta Geoscientica Sinica, 31(5): 659−665 (in Chinese with English abstract).
    [2]
    Chen Xinrong. 2014. The Status and Quantitative Prediction of Silver Resources in the World and China[D]. Beijing: China University of Geosciences (Beijing), 1–91 (in Chinese with English abstract).
    [3]
    Chen Yuchuan, Wang Denghong, Chen Zhenghui. 2010. Technical Requirements for the Study of the National Mineral and Regional Metallogenic Regularity[M]. Beijing: Geological Publishing House (in Chinese).
    [4]
    Gao Xinrui, Wang Anjian. 2010. The prediction of China’s steel demand based on S–shaped regularity[J]. Acta Geoscientica Sinica, 31(5): 645−652 (in Chinese with English abstract).
    [5]
    Groningen Growth and Development Centre. 2021. Total Economy Database[EB/OL]. [2021–11–5] http://www.ggdc.net.
    [6]
    Godbole P D, Mitra A, Pasricha R, Mandale A B, Patil K R. 2005. Deposition and characterization of silver nano–films by a novel Solid Liquid Interface Reaction Technique (SLIRT)[J]. Materials Letters, 59(14/15): 1958−1961.
    [7]
    Hammed M, Mola G T. 2020. Highly stable thin film organic solar cells using poly crystallized silver doped LaPO4[J]. Solar Energy, 207: 157−164. doi: 10.1016/j.solener.2020.06.009
    [8]
    Han Chao, Song Su, Wang Chenghong. 2004. A real–time short–term traffic flow adaptive forecasting method based on ARIMA model[J]. Journal of System Simulation, 16(7): 1530−1532,1535 (in Chinese with English abstract).
    [9]
    Jiang B, Zhang D Q, Wang D H, Wang C H, Chen Y C, Bai G. 2015. A preliminary review of metallogenic regularity of silver deposits in China[J]. Acta Geologica Sinica (English Edition), 89(3): 1002−1020. doi: 10.1111/1755-6724.12493
    [10]
    Jiang Biao, Chen Yuchuan, Wang Chenghui, Zhang Daquan, Bai Ge. 2015. A preliminary study of minerogenetic series and mineralization pedigree of silver deposits in China[J]. Mineral Deposits, 34(6): 1295−1308 (in Chinese with English abstract).
    [11]
    Jiang Biao, Zhang Tong, Wang Denghong, Chen Yuchuan, Huang Chongke, Bai Ge, Wang Chenghui, Huang Fan. 2020. Factors controlling ore formation, regularity and some prospecting strategies for silver deposits in China[J]. Acta Geologica Sinica, 94(1): 113−126 (in Chinese with English abstract).
    [12]
    Ju Jianhua, Zhang Zhaozhi, Pan Zhaoshuai, Che Dong, Li Houmin. 2022. Determination of mineral resources in China’s strategic emerging industries and analysis of the demand of the “14th five year plan”[J]. China Mining Magazine, 31(9): 1−11 (in Chinese with English abstract).
    [13]
    Lasheras F S, Juez F, Sánchez A S, Krzemień A, Fernández P R. 2015. Forecasting the COMEX copper spot price by means of neural networks and arima models[J]. Resources Policy, 45: 37−43. doi: 10.1016/j.resourpol.2015.03.004
    [14]
    Li Qi. 2021. Aluminum–the pioneer of carbon neutrality, the main force of the energy revolution[J]. Resource Recycling, (4): 18−25 (in Chinese).
    [15]
    London Metal Exchange. 2021. Market Data [EB/OL]. [2021–11–12] https://www.lme.com/en/Metals/Precious/LME–Silver#Trading+day+summary.
    [16]
    Ma Bing, Jia Lingxiao, Yu Yang, Wang Huan, Chen Jing, Zhong Shuai, Zhu Jichang. 2021. Geoscience and carbon neutralization: Current status and development direction[J]. Geology in China, 48(2): 347−358 (in Chinese with English abstract).
    [17]
    Mao Jia, Li Pengyuan, Zhou Ping. 2017. Major precious metal resources utilization and criticality assessment in China[J]. Journal of Industrial Technological Economics, 36(11): 37−48 (in Chinese with English abstract).
    [18]
    Ministry of Natural Resources. 2021. China Mineral Resources (2020) [M]. Beijing: Geological Publishing House.
    [19]
    National Bureau of Statistics. 2018. The classification of emerging sectors of strategic importance(2018)[EB/OL]. [2021–11–05] http://www.stats.gov.cn/tjgz/tzgb/201811/t20181126_1635848.html.
    [20]
    The Silver Institute. 1950–2021. World Sliver Survey[EB/OL]. [2021–11–15] https://www.silverinstitute.org/all–world–silver–surveys/.
    [21]
    USGS. 2022. Mineral Commodity Summaries [EB/OL]. [2022–8–05] https://www.usgs.gov/centers/nmic/mineral–commodity–summaries.
    [22]
    UN Comtrade. 2021. UN comtrade database [EB/OL]. [2021–11–05] http://comtrade.un.org/.
    [23]
    Wang A J, Wang G S, Chen Q S, Yu W J, Yan K, Yang H B. 2015. S–curve model of relationship between energy consumption and economic development[J]. Natural Resources Research, 24(1): 53−64. doi: 10.1007/s11053-014-9234-z
    [24]
    Wang Denghong, Ying Lijuan, Wang Chenghui, Chen Zhenghui, Xu Jianxiang, Zeng Zailin, Chen Yuchuan, Xu Yu, Bai Ge. 2007. Basic patterns of metallogenesis of precious metal deposits in China and vectors for prospecting[J]. Earth Science Frontiers, 14(5): 71−81 (in Chinese with English abstract). doi: 10.1016/S1872-5791(07)60037-2
    [25]
    Wang Huan, Ma Bing, Jia Lingxiao, Yu Yang, Hu Jiaxiu, Wang Wei. 2021. Role, supply and demand analysis and suggestions of critical minerals in clean energy transformation under carbon neutralization target[J]. Geology in China, 48(6): 1720−1733 (in Chinese with English abstract).
    [26]
    Wang Jiapeng, Wu Long, Zhang Hongchuan. 2021. Analysis on the supply and demand pattern of global silver resources and the influencing factors of price[J]. China Mining Magazine, 30(S1): 1−4,16 (in Chinese with English abstract).
    [27]
    Wang Jingchun, Chen Minyang, Xiao Menghua. 1994. Temporal and spatial distribution of silver deposits in China[J]. Journal of Geology and Mineral Resources in North China, 9(1): 111−116 (in Chinese).
    [28]
    Wang Ying. 2018. An empirical analysis of the linkage between silver futures and spot prices in China[J]. Finance Economy, (8): 107−109 (in Chinese).
    [29]
    Wei Weiqiang. 2006. The reason of Japan’s development and stagnation economy and its inspiration to that of China[J]. Around Southeast Asia, (11): 69−74 (in Chinese with English abstract).
    [30]
    Wu Qing, Zhang Zhaozhi, Pan Zhaoshuai, Zhang Zenan, Xu Hengyi. 2021. Forecast of China's Vanadium resource demand from 2020 to 2035[J]. China Mining Magazine, 30(5): 48−56 (in Chinese with English abstract).
    [31]
    Zhang Daquan, Jiang Biao, Wang Denghong, Wang Chenghui, Chen Yuchuan, Bai Ge. 2015. A Summary of resources characteristic and metallogenic regularity of silver deposits in China[J]. Acta Geologica Sinica, 89(6): 1008−1025 (in Chinese with English abstract).
    [32]
    Zhang Liang, Yang Huipeng, Feng Ansheng, Zhao Junwei, Tan Xiuming. 2016. Study on general situation and analysis of supply and demand of global sliver[J]. Conservation and Utilization of Mineral Resources, 36(5): 44−48 (in Chinese with English abstract).
    [33]
    Zhang Z Z, Jiang G Y, Wang X W, Zhang J F. 2016. Development and utilization of the world's and China's bulk mineral resources and their supply and demand situation in the next twenty years[J]. Acta Geologica Sinica (English Edition), 90(4): 1370−1417. doi: 10.1111/1755-6724.12775
    [34]
    陈其慎, 王高尚, 王安建. 2010. 铜、铝需求“S”形规律的三个转变点剖析[J]. 地球学报, 31(5): 659−665.
    [35]
    陈兴荣. 2014. 全球与中国银矿资源现状及白银需求定量预测研究[D]. 北京: 中国地质大学(北京), 1–91.
    [36]
    陈毓川, 王登红, 陈郑辉. 2010. 全国重要矿产和区域成矿规律研究技术要求[M]. 北京: 地质出版社.
    [37]
    高芯蕊, 王安建. 2010. 基于"S"规律的中国钢需求预测[J]. 地球学报, 31(5): 645−652.
    [38]
    国家统计局. 2018. 战略性新兴产业分类(2018)[EB/OL]. [2022–8–05] http://www.stats.gov.cn/tjgz/tzgb/201811/t20181126_1635848.html.
    [39]
    韩超, 宋苏, 王成红. 2004. 基于ARIMA模型的短时交通流实时自适应预测[J]. 系统仿真学报, 16(7): 1530−1532,1535. doi: 10.3969/j.issn.1004-731X.2004.07.042
    [40]
    江彪, 陈毓川, 王成辉, 张大权, 白鸽. 2015. 中国银矿床成矿系列与成矿谱系初探[J]. 矿床地质, 34(6): 1295−1308.
    [41]
    江彪, 张通, 王登红, 陈毓川, 黄崇柯, 白鸽, 王成辉, 黄凡. 2020. 中国银矿床地质控矿规律及若干找矿方向[J]. 地质学报, 94(1): 113−126.
    [42]
    鞠建华, 张照志, 潘昭帅, 车东, 李厚民. 2022. 我国战略性新兴产业矿产厘定与“十四五”需求分析[J]. 中国矿业, 31(9): 1−11.
    [43]
    李琦. 2021. 铝—碳中和的先行者能源革命的主力军[J]. 资源再生, (4): 18−25. doi: 10.3969/j.issn.1673-7776.2021.04.006
    [44]
    马冰, 贾凌霄, 于洋, 王欢, 陈静, 钟帅, 朱吉昌. 2021. 地球科学与碳中和: 现状与发展方向[J]. 中国地质, 48(2): 347−358. doi: 10.12029/gc20210201
    [45]
    毛佳, 李鹏远, 周平. 2017. 中国主要贵金属资源利用及关键性评估[J]. 工业技术经济, 36(11): 37−43. doi: 10.3969/j.issn.1004-910X.2017.11.005
    [46]
    王登红, 应立娟, 王成辉, 陈郑辉, 许建祥, 曾载淋, 陈毓川, 徐珏, 白鸽. 2007. 中国贵金属矿床的基本成矿规律与找矿方向[J]. 地学前缘, 14(5): 71−81. doi: 10.3321/j.issn:1005-2321.2007.05.008
    [47]
    王欢, 马冰, 贾凌霄, 于洋, 胡嘉修, 王为. 2021. 碳中和目标下关键矿产在清洁能源转型中的作用、供需分析及其建议[J]. 中国地质, 48(6): 1720−1733. doi: 10.12029/gc20210605
    [48]
    王家鹏, 吴龙, 张洪川. 2021. 全球白银资源供需格局与价格影响因素分析[J]. 中国矿业, 30(S1): 1−4,16. doi: 10.12075/j.issn.1004-4051.2021.S1.071
    [49]
    王静纯, 陈民扬, 肖孟华. 1994. 中国银矿床的时空分布[J]. 华北地质矿产杂志, 9(1): 111−116.
    [50]
    王莹. 2018. 我国白银期货与现货价格联动关系的实证分析[J]. 金融经济, (8): 107−109.
    [51]
    韦伟强. 2006. 日本经济发展、停滞原因及对中国经济的启示[J]. 东南亚纵横, (11): 69−74. doi: 10.3969/j.issn.1003-2479.2006.11.014
    [52]
    吴晴, 张照志, 潘昭帅, 张泽南, 徐恒逸. 2021. 2020—2035年中国钒需求预测[J]. 中国矿业, 30(5): 48−56. doi: 10.12075/j.issn.1004-4051.2021.05.024
    [53]
    张大权, 江彪, 王登红, 王成辉, 陈毓川, 白鸽. 2015. 中国银矿的资源特征及成矿规律概要[J]. 地质学报, 89(6): 1008−1025.
    [54]
    张亮, 杨卉芃, 冯安生, 赵军伟, 谭秀民. 2016. 全球银矿资源概况及供需分析[J]. 矿产保护与利用, 36(5): 44−48.
    [55]
    自然资源部. 2021. 中国矿产资源报告(2020)[M]. 北京: 地质出版社.
  • Related Articles

    [1]LIU Lin, WANG Dazhao, CHEN Aizhang, CAI Xiongwei. Distribution, occurrence and exploration prospect of associated rare earth elements in Yichang phosphate deposit, Hubei Province[J]. GEOLOGY IN CHINA, 2024, 51(2): 525-546. DOI: 10.12029/gc20221027003
    [2]ZHANG Baomin, CHEN Xiaohong, CAI Quansheng, CHEN Lin, ZHANG Guotao, LI Peijun. Dominant shale lithofacies and gas generation potential analysis of the WufengLongmaxi Formation in the Yichang slope area, Western Hubei Province[J]. GEOLOGY IN CHINA, 2022, 49(3): 943-955. DOI: 10.2029/gc20220318
    [3]LIU Zi, HUANG Xingkai, XU Hongling, ZHANG Bin, PENG Qingsong, WANG Chensheng, WANG Heng, JIANG Hua. Migration characteristics of elements in the rock-soil system and suitability evaluation of orange planting in Yaqueling area, Yichang, Hubei Province[J]. GEOLOGY IN CHINA, 2020, 47(6): 1853-1868. DOI: 10.12029/gc20200620
    [4]JIANG Hua, TANG Xiaohua, YANG Liya, LIU Zhixiong, WANG Ningtao, LIU Lei. Suitability evaluation of land space development based on land resources: A case study of Yichang City in Hubei Province[J]. GEOLOGY IN CHINA, 2020, 47(6): 1776-1792. DOI: 10.12029/gc20200614
    [5]ZHANG Ao, SHAO Changsheng, WANG Cen, YANG Yanlin, LU Tao. Dataset of the Environmental Geological Survey on a Scale of 1∶50 000 in the Puqi County (Present Chibi City) Map Sheet, Hubei Province[J]. GEOLOGY IN CHINA, 2019, 46(S2): 50-59. DOI: 10.12029/gc2019Z205
    [6]CHEN Xiaohong, ZHANG Miao, WANG Chuanshang, LI Zhihong. Chitinozoan biostratigraphy of the Silurian Shamao Formation in Yichang of Hubei Province[J]. GEOLOGY IN CHINA, 2018, 45(6): 1259-1270. DOI: 10.12029/gc20180615
    [7]CHEN Xiaohong, WEI Kai, ZHANG Baoming, LI Peijun, LI Hai, LIU An, LUO Shengyuan. Main geological factors controlling shale gas reservior in the Cambrian Shuijingtuo Formation in Yichang of Hubei Province as well as its and enrichment patterns[J]. GEOLOGY IN CHINA, 2018, 45(2): 207-226. DOI: 10.12029/gc20180201
    [8]CHENG Long, YAN Chun-bo, CHEN Xiao-hong, ZENG Xiong-wei, MOTANI Ryosuke. Characteristics and significance of Nanzhang/Yuanan Fauna, Hubei Province[J]. GEOLOGY IN CHINA, 2015, 42(2): 676-684. DOI: 10.12029/gc20150225
    [9]QU Hong-ying, PEI Rong-fu, YAO Lei, WANG Yong-lei, WANG Hao-lin. 40Ar-39Ar biotite and hornblende dating of Tieshan quartz diorite related to the skarn-type deposits in Daye area, Hubei Province, and its geological significance[J]. GEOLOGY IN CHINA, 2012, 39(6): 1635-1646. DOI: 10.12029/gc20120613
    [10]LI Zhi-Hong, CHEN Xiao-Hong, WANG Chuan-Shang, Zeng Qing-luan, WANG Xiao-Feng, Stouge S.. Conodont zonation and correlation of upper part of Fuluoian of Lower Ordovician in Huanghuachang section,Yichang, Hubei[J]. GEOLOGY IN CHINA, 2010, 37(6): 1647-1058. DOI: 10.12029/gc20100611
  • Cited by

    Periodical cited type(1)

    1. 龚建涛,白艳军. 致密砂岩储层微观孔隙结构表征研究——以鄂尔多斯盆地东南部地区延长组为例. 地质与资源. 2024(05): 662-670 .

    Other cited types(0)

Catalog

    Article views (8411) PDF downloads (676) Cited by(1)

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return