留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

Sensitivity of Chinese Industrial Wastewater Discharge Reduction to Direct Input Coefficients in an Input-output Context

TANG Zhipeng GONG Peiping LIU Weidong LI Jiangsu

TANG Zhipeng, GONG Peiping, LIU Weidong, LI Jiangsu. Sensitivity of Chinese Industrial Wastewater Discharge Reduction to Direct Input Coefficients in an Input-output Context[J]. 中国地理科学, 2015, 25(1): 85-97. doi: 10.1007/s11769-014-0666-5
引用本文: TANG Zhipeng, GONG Peiping, LIU Weidong, LI Jiangsu. Sensitivity of Chinese Industrial Wastewater Discharge Reduction to Direct Input Coefficients in an Input-output Context[J]. 中国地理科学, 2015, 25(1): 85-97. doi: 10.1007/s11769-014-0666-5
TANG Zhipeng, GONG Peiping, LIU Weidong, LI Jiangsu. Sensitivity of Chinese Industrial Wastewater Discharge Reduction to Direct Input Coefficients in an Input-output Context[J]. Chinese Geographical Science, 2015, 25(1): 85-97. doi: 10.1007/s11769-014-0666-5
Citation: TANG Zhipeng, GONG Peiping, LIU Weidong, LI Jiangsu. Sensitivity of Chinese Industrial Wastewater Discharge Reduction to Direct Input Coefficients in an Input-output Context[J]. Chinese Geographical Science, 2015, 25(1): 85-97. doi: 10.1007/s11769-014-0666-5

Sensitivity of Chinese Industrial Wastewater Discharge Reduction to Direct Input Coefficients in an Input-output Context

doi: 10.1007/s11769-014-0666-5
基金项目: Under the auspices of Key Program of Chinese Academy of Sciences (No. KZZD-EW-06-02), National Natural Science Foundation of China (No. 41201129), Humanities and Social Science Research Planning Fund, Ministry of Education of China (No. 13YJAZH042)
详细信息
    通讯作者:

    TANG Zhipeng. E-mail: tangzp@igsnrr.ac.cn

Sensitivity of Chinese Industrial Wastewater Discharge Reduction to Direct Input Coefficients in an Input-output Context

Funds: Under the auspices of Key Program of Chinese Academy of Sciences (No. KZZD-EW-06-02), National Natural Science Foundation of China (No. 41201129), Humanities and Social Science Research Planning Fund, Ministry of Education of China (No. 13YJAZH042)
More Information
    Corresponding author: TANG Zhipeng. E-mail: tangzp@igsnrr.ac.cn
  • 摘要: Industrial wastewater discharge in China is increasing with the country's economic development and it is worthy of concern. The discharge is primarily relevant to the direct discharge coefficient of each sector of the economy, its direct input coefficient and the final demand in input-output models. In this study, we calculated the sensitivity of the reduction in the Chinese industrial wastewater discharge using the direct input coefficients based on the theory of error-transmission in an input-output framework. Using input-output models, we calculated the direct and total industrial wastewater discharge coefficients. Analysis of 2007 input-output data of 30 sectors of the Chinese economy and of 30 provincial regions of China indicates that by lowering their direct input coefficients, the manufacturers of textiles, paper and paper products, chemical products, smelting and metal pressing, telecommunication equipment, computers and other electronic equipment will significantly reduce their amounts of industrial wastewater discharge. By lowering intra-provincial direct input coefficients to industrial sectors themselves of Jiangsu, Shandong and Zhejiang, there will be a significant reduction in industrial wastewater discharge for the country as a whole. Investment in production technology and improvement in organizational efficiency in these sectors and in these provinces can help lessen the direct input coefficients, thereby effectively achieving a reduction in industrial wastewater discharge in China via industrial restructuring.
  • [1] Chen Xikang, Li Bingquan, Yan Shuhai et al., 1985. Economic Mathematics Method and Model (Revised Edition). Beijing: Chinese Finance and Economics Publisher. (in Chinese)
    [2] Chen Xikang, Yang Cuihong et al., 2011. Input-Output Technique. Beijing: Science Press. (in Chinese)
    [3] Fan Wei, 2008. A decomposable analysis of influential factors on environmental pollution in China based on SDA technique and PDM method: Exampled by air pollution. Thesis for Master's degree. Shenyang: School of Business Administration Northeastern University. (in Chinese)
    [4] Guan D B, Hubacek K, 2007. Assessment of regional trade and virtual water flows in China. Ecological Economics, 61(1): 159-170. doi:  10.1016/j.ecolecon.2006.02.022
    [5] Jiang J Q, Lloyd B, 2002. Progress in the development and use of ferrate (VI) salt as an oxidant and coagulant for water and wastewater treatment. Water Research, 36(6): 1397-1408. doi:  10.1016/j.bbr.2011.03.031
    [6] Jiang Yan, Wen Jianping, Hu Zongding, 2004. Development of new technology and method in industrial wastewater treatment process. Chemical Industry and Engineering Progress, 23(3): 256-259. (in Chinese)
    [7] Johnson M H, Bennett J T, 1981. Regional environmental and economic impact evaluation: An input-output approach. Regional Science and Urban Economics, 11(2): 215-230. doi:  10.1016/0166-0462(81)90005-3
    [8] Kneese, A V, Ayres R U, D'Arge R C, 1970. Economics and the Environment: A materials Balance Approach. London: the Johns Hopkins Press.
    [9] Leontief W, 1970. Environmental repercussions and the economic structure: An input-output approach. The Review of Economics and Statistics, 52(3): 262-271. doi:  10.2307/1926294
    [10] Leontief W, 1986. Input-Output Economics (Second Edition). New York: Oxford University Press.
    [11] Li L L, Qi P, 2011. The impact of China's investment increase in fixed assets on ecological environment: An empirical analysis. Energy Procedia, 5: 501-507. doi: 10.1016/j.egypro.2011. 03.087
    [12] Li Lei, Pan Huiling, 2011. Prediction of industrial wastewater discharge amount based on multivariate nonlinear regression. Journal of Jiangnan University (Natural Science Edition), 10(3): 309-313. (in Chinese)
    [13] Li Mingsheng, Tong Lianjun, Qiu Fangdao, 2009. Factor decomposition and reduction effect on the changes of industrial wastewater discharge. Environmental Science, 30(3): 707-712. (in Chinese)
    [14] Liu Ping, Wang Chao, Wei Yuansong et al., 2011. Effects of technology progress and industrial structure on the industrial wastewater discharge of Tianjin. Acta Scientiae Circumstantiae, 31(5): 1098-1104. (in Chinese)
    [15] Liu Weidong, Chen Jie, Tang Zhipeng et al., 2012. China's 30 Provinces' Multi-regional Input-Output Table Theory and Practice in 2007. Beijing: China statistics press. (in Chinese)
    [16] Lu Houlu, Liu Deqi, 2006. Summary of industrial wastewater treatment technologies. Environmental Protection in Petrochemical Industry, 29(4): 15-19. (in Chinese)
    [17] Ma X Y, Ortolano L, 2000. Environmental Regulation in China: Institutions, Enforcement, and Compliance. Lanham, Maryland: Rownman & Littlefield Publishers.
    [18] Managi S, Kaneko S, 2009. Environmental performance and returns to pollution abatement in China. Ecological Economics, 68: 1643-1651. doi:  10.1016/j.ecolecon.2008.04.005
    [19] Miller R E, Blair P D, 1985. Input-Output Analysis: Foundations and Extensions. New Jersey: Prentice -Hall, Englewood Cliffs.
    [20] Ministry of Environmental Protection of the People's Republic of China, 2003. National Environmental Statistical Bulletin 2002. Available at: http://zls.mep.gov.cn/hjtj/qghjtjgb/200306/
    [21] t20030605_85524.htm. (in Chinese)
    [22] Ministry of Environmental Protection of the People's Republic of China, 2008. National Environmental Statistical Bulletin 2007. Available at: http://zls.mep.gov.cn/hjtj/qghjtjgb/200809/
    [23] t20080924_129355.htm. (in Chinese)
    [24] National Bureau of Statistics of China, 1992-2008. Statistical Yearbook of China, 1991-2007. Beijing: China Statistics Press.
    [25] National Bureau of Statistics of China, 2009. Input-Output Tables of China in 2007. Beijing: China Statistics Press. (in Chinese)
    [26] Okadera T, Watanabe M, Xu K Q, 2006. Analysis of water demand and water pollutant discharge using a regional input- output table: An application to the city of Chongqing, upstream of the Three Gorges Dam in China. Ecological Econo­mics, 58(2): 221-237. doi:  10.1016/j.ecolecon.2005.07.005
    [27] Rhee J J, Miranowski J A, 1984. Determination of income, production, and employment under pollution control: An input- output approach. The Review of Economics and Statistics, 66(1): 146-150. doi:  10.2307/1924707
    [28] Schnabl H, 2003. The ECA-method for identifying sensitive reactions within an IO context. Economic System Research, 15(4): 495-504. doi:  10.1080/0953531032000152344
    [29] Shen Chenwen, Qi Guoyan, Zhou Huimin, 2010. An analysis of industrial wastewater hazards caused by organic pollutant. China Practical Medicine, 5(28): 264-265. (In Chinese)
    [30] Sherman J, Morrison W J, 1950. Adjustment of an inverse matrix corresponding to a change in one element of a given matrix. Annals of Mathematical Statistics, 21(1): 124-127. doi:  10.1214/aoms/1177729893
    [31] Shi Minjun, Zhang Zhuoying et al., 2012. Chinese Provincial Input-Output Model and Regional Economic Linkage. Beijing: Science Press. (in Chinese)
    [32] Sonis M, Hewings GJD, 1992. Coefficient change in input-output models: Theory and applications. Economic Systems Research, 14(2): 143-157. doi:  10.1080/09535319200000013
    [33] Sonis M, Hewings G J D, Guo Jiemin, 2000. A new image of classical key sector analysis: Minimum information decomposition of Leontief inverse. Economic Systems Research, 12(3): 401-423. doi:  10.1080/09535310050120952
    [34] Tang Zhipeng, Fu Xue, Wei Xiaojun, 2009. Research on identifying important coefficients in Chinese sectors with high industrial wastewater discharge. Asia-Pacific Journal of Management Research and Innovation, 5(2): 39-48. doi: 10.1177/ 097324700900500203
    [35] Tang Zhipeng, Fu Xue, Zhou Zhien, 2008. Identifying important coefficients in China's sectors of discharge amount of industrial wastewater. China Population, Resources and Environment, (5): 123-127. (in Chinese)
    [36] Tang Zhipeng, Liu Weidong, Liu Zhigao et al., 2011. Regional difference and convergence of standardized discharge of industrial wastewater in China. Geographical Research, 30(6): 1101-1109. (in Chinese)
    [37] Tang Zhipeng, Wang Peihong, 2007. Identifying important coefficients in input-output model by losing information method. Journal of Mathematics in Practice and Theory, 37 (14): 220-226. (in Chinese)
    [38] Tarancón M A, Río P D, Albiñana F C, 2010. Assessing the influence of manufacturing sectors on electricity demand: A cross-country input-output approach. Energy Policy, 38(4): 1900-1908. doi:  10.1016/j.enpol.2009.11.070
    [39] Tarancón M A, Río P D, 2012. Assessing energy-related CO2 emissions with sensitivity analysis and input-output techniques. Energy, 37(1): 161-170. doi:  10.1016/j.energy.2011.07.026
    [40] Wen Jiabao, 2011. Report on the Work of the Government: Delivered at the Fourth Session of the Eleventh National People's Congress. Beijing: State Council of the People's Republic of China. (in Chinese)
    [41] Xie Hongbin, Liu Zhaode, Chen Wen, 2004a. Quantitative analysis on the influential factors of industrial waste drainage. Resources and Environment in the Yangtze Basin, 13(4): 394- 398. (in Chinese)
    [42] Xie Hongbin, Ye Geyang, Xie Yongqin, 2004b. Quantitative analysis of the effects of industrial structure change on the industrial waste drainage. Journal of Fujian Normal University (Natural Science Edition), 20(4): 90-93. (in Chinese)
    [43] Xu Jian, 2003. Determination of the important coefficient in input- output model. Statistical Research, (9): 53-56. (in Chinese)
    [44] Xu S, Madden M, 1991. The concept of important coefficients in input-output models. In: Dewhurst JJ et al. (eds.). Flexibility and Extensions in Regional Input-Output Modelling. Aldershot: Avebury, 66-77.
    [45] Yu Fang, Cao Dong, Wang Jinnan et al., 2009. Prediction of industrial wastewater discharge and abatement expenditure. Research of Environmental Sciences, 22(8): 971-976. (in Chinese)
    [46] Yu Fang, Zhang Qiang, Guo Xiaomin, 2003. Pollution characteristics of main industrial wastewater sub-sectors in China and control focuses. Environmental Protection, (10): 38-43. (in Chinese)
    [47] Zhang J, Deng S H, Zhang Y Z et al., 2011. A new model concerning the relationship between industrial wastewater generation, abatement rate, discharge and economy in China. Procedia Environmental Sciences, 11(B): 803-809. doi: 10.1016/ j.proenv.2011.12.123
    [48] Zhang Shuqin, 2011. Assessment and discharge of industrial wastewater of Fushun city. Northern Environment, 23(9): 120-165. (in Chinese)
    [49] Zhong Qifu, Chen Xikang, Liu Qiyun, 1993. Input-Output Analysis (2nd Edition). Beijing: China Financial and Economic Publishing House. (in Chinese)
    [50] Zhou Lijun, 2010. Relationship between the discharge of industrial wastewater and the investment in environmental governance of Jiangsu. Environmental Science and Management, 35(12): 30-32. (in Chinese)pplication to the city of Chongqing, upstreamof the Three Gorges Dam in China. Ecological Economics,58(2): 221-237. doi: 10.1016/j.ecolecon.2005.07.005Rhee J J, Miranowski J A, 1984. Determination of income, production,and employment under pollution control: An inputoutputapproach. The Review of Economics and Statistics,66(1): 146-150. doi: 10.2307/1924707Schnabl H, 2003. The ECA-method for identifying sensitive reactionswithin an IO context. Economic System Research, 15(4):495-504. doi: 10.1080/0953531032000152344Shen Chenwen, Qi Guoyan, Zhou Huimin, 2010. An analysis ofindustrial wastewater hazards caused by organic pollutant.China Practical Medicine, 5(28): 264-265. (In Chinese)Sherman J, Morrison W J, 1950. Adjustment of an inverse matrixcorresponding to a change in one element of a given matrix.Annals of Mathematical Statistics, 21(1): 124-127. doi:10.1214/aoms/1177729893Shi Minjun, Zhang Zhuoying et al., 2012. Chinese ProvincialInput-Output Model and Regional Economic Linkage. Beijing:Science Press. (in Chinese)Sonis M, Hewings GJD, 1992. Coefficient change in input-outputmodels: Theory and applications. Economic Systems Research,14(2): 143-157. doi: 10.1080/09535319200000013Sonis M, Hewings G J D, Guo Jiemin, 2000. A new image ofclassical key sector analysis: Minimum information decompositionof Leontief inverse. Economic Systems Research, 12(3):401-423. doi: 10.1080/09535310050120952Tang Zhipeng, Fu Xue, Wei Xiaojun, 2009. Research on identifyingimportant coefficients in Chinese sectors with high industrialwastewater discharge. Asia-Pacific Journal of ManagementResearch and Innovation, 5(2): 39-48. doi: 10.1177/097324700900500203Tang Zhipeng, Fu Xue, Zhou Zhien, 2008. Identifying importantcoefficients in China's sectors of discharge amount of industrialwastewater. China Population, Resources and Environment,(5): 123-127. (in Chinese)Tang Zhipeng, Liu Weidong, Liu Zhigao et al., 2011. Regionaldifference and convergence of standardized discharge of industrialwastewater in China. Geographical Research, 30(6):1101-1109. (in Chinese)Tang Zhipeng, Wang Peihong, 2007. Identifying important coefficientsin input-output model by losing information method.Journal of Mathematics in Practice and Theory, 37 (14):220-226. (in Chinese)Tarancón M A, Río P D, Albiñana F C, 2010. Assessing the influenceof manufacturing sectors on electricity demand: Across-country input-output approach. Energy Policy, 38(4):1900-1908. doi: 10.1016/j.enpol.2009.11.070Tarancón M A, Río P D, 2012. Assessing energy-related CO2emissions with sensitivity analysis and input-output techniques.Energy, 37(1): 161-170. doi: 10.1016/j.energy.2011.07.026Wen Jiabao, 2011. Report on the Work of the Government: Deliveredat the Fourth Session of the Eleventh National People'sCongress. Beijing: State Council of the People's Republic ofChina. (in Chinese)Xie Hongbin, Liu Zhaode, Chen Wen, 2004a. Quantitative analysison the influential factors of industrial waste drainage. Resourcesand Environment in the Yangtze Basin, 13(4): 394-398. (in Chinese)Xie Hongbin, Ye Geyang, Xie Yongqin, 2004b. Quantitativeanalysis of the effects of industrial structure change on the industrialwaste drainage. Journal of Fujian Normal University(Natural Science Edition), 20(4): 90-93. (in Chinese)Xu Jian, 2003. Determination of the important coefficient in inputoutputmodel. Statistical Research, (9): 53-56. (in Chinese)Xu S, Madden M, 1991. The concept of important coefficients ininput-output models. In: Dewhurst JJ et al. (eds.). Flexibilityand Extensions in Regional Input-Output Modelling. Aldershot:Avebury, 66-77.Yu Fang, Cao Dong, Wang Jinnan et al., 2009. Prediction of industrialwastewater discharge and abatement expenditure. Researchof Environmental Sciences, 22(8): 971-976. (in Chinese)Yu Fang, Zhang Qiang, Guo Xiaomin, 2003. Pollution characteristicsof main industrial wastewater sub-sectors in China andcontrol focuses. Environmental Protection, (10): 38-43. (inChinese)Zhang J, Deng S H, Zhang Y Z et al., 2011. A new model concerningthe relationship between industrial wastewater generation,abatement rate, discharge and economy in China. ProcediaEnvironmental Sciences, 11(B): 803-809. doi: 10.1016/j.proenv.2011.12.123Zhang Shuqin, 2011. Assessment and discharge of industrialwastewater of Fushun city. Northern Environment, 23(9):120-165. (in Chinese)Zhong Qifu, Chen Xikang, Liu Qiyun, 1993. Input-Output Analysis(2nd Edition). Beijing: China Financial and Economic PublishingHouse. (in Chinese)Zhou Lijun, 2010. Relationship between the discharge of industrialwastewater and the investment in environmental governanceof Jiangsu. Environmental Science and Management,35(12): 30-32. (in Chinese)
    [51]  
  • [1] Hongtao JIANG, Jian YIN, Bin ZHANG, Danqi WEI, Xinyuan LUO, Yi DING, Ruici XIA.  Industrial Carbon Emission Distribution and Regional Joint Emission Reduction: A Case Study of Cities in the Pearl River Basin, China . Chinese Geographical Science, 2024, 34(2): 210-229. doi: 10.1007/s11769-024-1416-y
    [2] Hui ZOU, Xuejun DUAN, Tingting JIN.  Urban Chemical Industrial Cluster Area Restructuring and Determinants: A Case Study of a Typical Old Chemical Industry Area Along the Yangtze River, China . Chinese Geographical Science, 2022, 32(2): 237-250. doi: 10.1007/s11769-022-1267-3
    [3] YANG Fiona Fan, HU Fox Zhiyong, WANG Yuhua.  Post-industrial Economic Restructuring and Wage Inequality in Urban China, 2003-2015: A Sectoral Perspective . Chinese Geographical Science, 2020, 30(3): 516-531. doi: 10.1007/s11769-020-1125-0
    [4] GUAN Haoming, LIU Wenxin, ZHANG Pingyu, LO Kevin, LI Jing, LI Liangang.  Analyzing Industrial Structure Evolution of Old Industrial Cities Using Evolutionary Resilience Theory: A Case Study in Shenyang of China . Chinese Geographical Science, 2018, 28(3): 516-528. doi: 10.1007/s11769-018-0963-5
    [5] HU Xiaohui, Robert HASSINK.  New Perspectives on Restructuring of Old Industrial Areas in China: A Critical Review and Research Agenda . Chinese Geographical Science, 2017, 27(1): 110-122. doi: 10.1007/s11769-015-0784-8
    [6] LI Yanmei, FU Jiafeng, MA Zhanyun, YANG Bo.  Sources and Flows of Embodied CO2 Emissions in Import and Export Trade of China . Chinese Geographical Science, 2014, 0(2): 220-230. doi: 10.1007/s11769-013-0644-3
    [7] YANG Zhenshan, LIANG Jinshe, CAI Jianming.  Urban Economic Cluster Template and Its Dynamics of Beijing, China . Chinese Geographical Science, 2014, 0(6): 740-750. doi: 10.1007/s11769-014-0686-1
    [8] JIN Pingbin FU Zhiwei BAN Maosheng.  Industrial Arrangement of Large-scale, Non-grid-connected Wind Power Industrial Zones in Coastal Areas of China . Chinese Geographical Science, 2012, 22(1): 109-118.
    [9] CHU Bo, ZHANG Hua, JIN Fengjun.  Identification and Comparison of Aircraft Industry Clusters in China and United States . Chinese Geographical Science, 2010, 20(5): 471-480. doi: 10.1007/s11769-010-0421-5
    [10] QIU Fangdao, TONG Lianjun, ZHANG Huimin, ZHANG Na.  Decomposition Analysis on Direct Material Input and Dematerialization of Mining Cities in Northeast China . Chinese Geographical Science, 2009, 19(2): 104-112. doi: 10.1007/s11769-009-0104-2
    [11] ZHU Huayou, DING Sibao.  Reconstruction of Industrial Location in View of Industrial Agglomeration . Chinese Geographical Science, 2006, 16(4): 294-298.
    [12] ZHANG Ping-yu.  INDUSTRIAL TRANSFORMATION OF SHENYANG CITY . Chinese Geographical Science, 2003, 13(3): 216-223.
    [13] FANG Feng-man, WANG Qi-chao, MA Zhuang-wei, LIU Ru-hai, CAO Yu-hong.  ESTIMATION OF ATMOSPHERIC INPUT OF MERCURY TO SOUTH LAKE AND JINGYUE POOL . Chinese Geographical Science, 2002, 12(1): 86-89.
    [14] 陈国阶.  A NEW PERSPECTIVE ON CHINA'S INDUSTRIAL DEVELOPMENT STRATEGY . Chinese Geographical Science, 1999, 9(4): 314-321.
    [15] 阎小培, 贾莉, 林锡艺, 黄谦.  TEMPORAL AND SPATIAL DIFFERENCES OF THE INDUSTRIAL RESTRUCTURING OF GUANGDONG PROVINCE IN THE 1990S . Chinese Geographical Science, 1999, 9(4): 322-329.
    [16] 武伟, 石立群, 石庆武.  THE TRACING RESEARCH OF INDUSTRIAL LOCATION . Chinese Geographical Science, 1997, 7(1): 59-67.
    [17] 方创琳, 董锁成, 武伟.  A PRIMARY APPROACH TO CHINESE STRATEGIC INDUSTRIAL SYSTEM . Chinese Geographical Science, 1996, 6(3): 193-200.
    [18] 宁越敏.  THE RECENT ECONOMIC DEVELOPMENT OF CHINA'S 'MILLION' CITIES . Chinese Geographical Science, 1995, 5(3): 202-211.
    [19] 樊杰.  AN ANALYSIS OF THE POLICY-MAKING IN REGULATING THE INDUSTRIAL STRUCTURE AND DISTRIBUTION IN TRADITIONAL INDUSTRIAL BASE IN MIDDLE LIAONING PROVINCE . Chinese Geographical Science, 1994, 4(1): 43-54.
    [20] 金玉献, Christine M Leigh.  TECHNIQUES OF CONSTRUCTING REGIONAL INPUT-OUTPUT TABLES: ACHIEVEMENTS . Chinese Geographical Science, 1992, 2(4): 337-356.
  • 加载中
计量
  • 文章访问数:  357
  • HTML全文浏览量:  8
  • PDF下载量:  1432
  • 被引次数: 0
出版历程
  • 收稿日期:  2013-06-17
  • 修回日期:  2013-10-08
  • 刊出日期:  2014-11-27

Sensitivity of Chinese Industrial Wastewater Discharge Reduction to Direct Input Coefficients in an Input-output Context

doi: 10.1007/s11769-014-0666-5
    基金项目:  Under the auspices of Key Program of Chinese Academy of Sciences (No. KZZD-EW-06-02), National Natural Science Foundation of China (No. 41201129), Humanities and Social Science Research Planning Fund, Ministry of Education of China (No. 13YJAZH042)
    通讯作者: TANG Zhipeng. E-mail: tangzp@igsnrr.ac.cn

摘要: Industrial wastewater discharge in China is increasing with the country's economic development and it is worthy of concern. The discharge is primarily relevant to the direct discharge coefficient of each sector of the economy, its direct input coefficient and the final demand in input-output models. In this study, we calculated the sensitivity of the reduction in the Chinese industrial wastewater discharge using the direct input coefficients based on the theory of error-transmission in an input-output framework. Using input-output models, we calculated the direct and total industrial wastewater discharge coefficients. Analysis of 2007 input-output data of 30 sectors of the Chinese economy and of 30 provincial regions of China indicates that by lowering their direct input coefficients, the manufacturers of textiles, paper and paper products, chemical products, smelting and metal pressing, telecommunication equipment, computers and other electronic equipment will significantly reduce their amounts of industrial wastewater discharge. By lowering intra-provincial direct input coefficients to industrial sectors themselves of Jiangsu, Shandong and Zhejiang, there will be a significant reduction in industrial wastewater discharge for the country as a whole. Investment in production technology and improvement in organizational efficiency in these sectors and in these provinces can help lessen the direct input coefficients, thereby effectively achieving a reduction in industrial wastewater discharge in China via industrial restructuring.

English Abstract

TANG Zhipeng, GONG Peiping, LIU Weidong, LI Jiangsu. Sensitivity of Chinese Industrial Wastewater Discharge Reduction to Direct Input Coefficients in an Input-output Context[J]. 中国地理科学, 2015, 25(1): 85-97. doi: 10.1007/s11769-014-0666-5
引用本文: TANG Zhipeng, GONG Peiping, LIU Weidong, LI Jiangsu. Sensitivity of Chinese Industrial Wastewater Discharge Reduction to Direct Input Coefficients in an Input-output Context[J]. 中国地理科学, 2015, 25(1): 85-97. doi: 10.1007/s11769-014-0666-5
TANG Zhipeng, GONG Peiping, LIU Weidong, LI Jiangsu. Sensitivity of Chinese Industrial Wastewater Discharge Reduction to Direct Input Coefficients in an Input-output Context[J]. Chinese Geographical Science, 2015, 25(1): 85-97. doi: 10.1007/s11769-014-0666-5
Citation: TANG Zhipeng, GONG Peiping, LIU Weidong, LI Jiangsu. Sensitivity of Chinese Industrial Wastewater Discharge Reduction to Direct Input Coefficients in an Input-output Context[J]. Chinese Geographical Science, 2015, 25(1): 85-97. doi: 10.1007/s11769-014-0666-5
参考文献 (51)

目录

    /

    返回文章
    返回