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Table of Content

    20 February 2017, Volume 19 Issue 1
    SUSTAINABLE DEVELOPMENT OF RESOURCES CITIES
    COUPLING RELATIONSHIP BETWEEN HUANGSHAN’S TOURISM INDUSTRY AND LOW- CARBON CITY
    FU Chen-ling, ZHANG Xiao-ping, ZHANG Zhi-bin, et al.
    2017, 19(1):  1-9.  DOI: 10.13776/j.cnki.resourcesindustries.2017.01.002
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    This paper establishes a comprehensive index system to evaluate tourism and low-carbon city, uses AHP entropy to determine the weight of index to construct a coupling coordinated model of tourism and low-carbon city, and quantitatively analyzes its coupling process and trend of Huangshan’s tourism and low-carbon city from 2005-2014. The result shows a rising comprehensive tourism level and low-carbon city level with the exception of the year of 2013. The comprehensive tourism level from 2006-2012 is slightly higher than low-carbon city level. Their coupling coordination displays a consistent trend from three proportional contributions, indicating the proportion has little influence on coupling coordination. There is a rising coupling coordination between Huangshan’s tourism industry and low-carbon city with coordination types changing from disordered in 2005 to coordinated later and well coordinated in 2014. Huangshan city has a good basis for its development of tourism and low-carbon city at a fast rate; although fluctuated, it remains a sound developing trend. The administration’s supportive policies and tourism input will boost its tourism competitiveness along with its culture and ecology.
    INDUSTRIAL TRANSFORMING EFFICIENCY OF RESOURCES BASED CITIES BASED ON DEA MODEL: A CASE STUDY ON CHINA’S THREE NORTHEASTERN PROVINCES RESOURCES BASED CITIES
    WANG Qiao-li, HAN Li-hong
    2017, 19(1):  10-16.  DOI: 10.13776/j.cnki.resourcesindustries.2017.01.009
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    This paper establishes an evaluation index system of resources based cities industrial transforming efficiency, uses DEA model to measure industrial transforming efficiency of 19 resources based cities in China’s three northeastern provinces from 2010-2014, aiming at resolving the dilemma in the development of resources based cities, promoting industrial transformation and sustaining the development. The result shows an imbalanced industrial transformation of resources based cities in this area, but with a reducing regional gap. Their industrial transforming efficiency in Fuxin, Liaoyuan, Daqing, Qitaihe and Jilin cities is relatively effective, but Shuangyashan and Benxi are in decreasing payment. Liaoning’s industrial transformation lags behind Heilongjiang and Jilin provinces. Population outflow and insufficient science and technology investment constrain the industrial transformation. This paper presents suggestions for resources based cities industrial transformation and regional economic growth in China’s three northeastern provinces. 
    RESOURCES MANAGEMENT
    GOVERNMENTAL COLLABORATIVE SUPERVISION MECHANISM IN CHINA’S MINERAL RESOURCES DEVELOPMENT
    SHI Xiao-shi, BAI Zhong-ke, LIU Qing-fe, et al.
    2017, 19(1):  17-22.  DOI: 10.13776/j.cnki.resourcesindustries.2017.01.010
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    This paper reviews the major governmental collaborative supervision practices in China’s mineral resources development, analyzes their issues and presents an overall framework and objective in optimizing the collaborative supervision, aiming at providing reference for China to optimize and develop supervision policy in mineral resources development. Liaison meeting, liaison enforcement and liaison documenting are three major governmental collaborative supervision forms. In this domain, governmental collaborative involvements lack laws basis, defected in collaborative flowchart and mechanism, and uncertainty arises from department or local benefits. To improve the general efficiency of governmental collaborative supervision in China’s mineral resources development, government needs to be granted the judgment, which needs supervising. Function of department needs to be defined on purpose. Such collaboration shall be of accountability, downward and upward. The existing mechanism shall be improved in many ways.
    COORDINATION BETWEEN POPULATION URBANIZATION AND LAND URBANIZATION IN SUZHOU CITY
    HU Qing, LIU Bing-lin, ZHANG Chao, et al.
    2017, 19(1):  23-28.  DOI: 10.13776/j.cnki.resourcesindustries.2017.01.011
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    Study on the coordination between population urbanization and land urbanization is of significance to optimizing human land relation during urbanization and promoting new urbanization. This paper selects population urbanization and land urbanization factors, establishes an index system and coordination model to study the coordination between Suzhou’s population urbanization and land urbanization from 2005-2014. The result shows a rising population urbanization index and land urbanization index with urban development turning into population lagging from land lagging. The coordination transitions into relatively coordinated from not coordinated with lagging population urbanization and falsely leveled land urbanization, due to the urban expansion model and development policy. Suzhou shall select a rational urban expansion model and progressively develop the urban and rural integration, boost intensive use of urban land and diversify the urbanization capital.
    TRUCKS DIESEL USE AND MANAGEMENT IN OPEN PIT
    YI Yin-sheng
    2017, 19(1):  29-34.  DOI: 10.13776/j.cnki.resourcesindustries.2017.01.001
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    Indonesia’s open pit Muara Enim coal mine bears features of soft coal rock, rainfall, truck trapping, land slide. This paper systematically analyzes the main truck diesel uses in excavating, hauling and dumping at open pit mines, reveals the relation of diesel use to production technology, organization and circulation, and presents approaches to saving diesel in both technology and management, reaching the targets of improving technology, optimizing management and raising economic profits. The mine manages the match of excavators and trucks, intensifies road maintenance and intendance, and instructs drivers to park drive and dump. In accordance with the local weather, environment and production, stripping is mainly conducted in dry season. Hauling distance is minimized. Diesel loss is properly controlled in gas station’s input, output and storage through human, machine and environment.
    RESOURCES DEVELOPMENT
    CHINA’S LAND RECLAMATION CHANGES FROM 1979-2014 BASED ON REMOTE SENSING DATA
    ZHANG Yu, GUO Xin, DUAN Jia-hao
    2017, 19(1):  35-40.  DOI: 10.13776/j.cnki.resourcesindustries.2017.01.006
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    This paper, based on Landsat’s MSS/TM/ETM+ and SPOT-5 and ZY-3 remote sensing images, acquires the land reclamation changes by using ArcGIS and ENVI to process the five periods’ image data from 1979—2014, analyzes systematically the temporal spatial changes in four stages in China’s land reclamation. By 2014 China’s coastal reclamation by land fill had reached up to 2156.77 km2, increasing by 61.62 km2 annually. Liaoning ranks the top, up to 18.41%; Hainan is the bottom of 0.99%. The area of the land fill converted from land enclosing is 405.28 km2, covering 18.79% of the total land reclamation area, and is 16.89 km 2 annually. The result shows a rising area of the land fill converted from land enclosing, of which the marine breeding contributes the most.
    STRUCTURE CHANGE AND FACTORS OF URBAN CONSTRUCTION LAND IN HARBIN CITY
    ZHAO Wen-jia, DONG Hui-he, SUN Li-zheng, et al.
    2017, 19(1):  41-47.  DOI: 10.13776/j.cnki.resourcesindustries.20170116.001
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    This paper takes Harbin’s downtown as the study area, applies the backward and path analysis of regression method to select the main factors in urban construction land change, analyses the their intensity through correlated coefficient decomposition, and discusses rational allocating rules of urban land resources. Real estate investment is the biggest factor in urban land use with a direct coefficient of 0.592. The third industry and urban population also influence residential land through real estate. The gross industrial output influences the industrial land use the most with a direct path coefficient of 0.583, an indirect coefficient of 0.331 through urban population. Fixed investment is the leading factor in Harbin’s logistic and warehousing land use, and also a vital factor in roads and green lands. Urban population has a significant direct and indirect influence on all land use.
    OPERATIONAL ANALYSIS ON GEOTHERMAL PUMP SYSTEM OF A FACTORY IN BEIJING
    LIU Jing, HUANG Xue-ting, LEI Ya-lin
    2017, 19(1):  48-54.  DOI: 10.13776/j.cnki.resourcesindustries.2017.01.003
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    This paper, in order to analyze the operation and factors of geothermal pump system and improve its engineering, selects a factory’s geothermal pump project on the basis of project introduction and design to analyze the indicators of heat balance and temperature change of rock body, pipe input/output temperature and heat exchange per meter in single hole. The result shows that the theoretical heat balance in the rock body is close to the measured. The operation in winter and summer is better than the tested, with the actual heat exchange per meter in single hole less than the tested. This paper points out that geothermal pump project shall be boosted at its early exploration and heat response test, and at its later maintenance and monitoring.
    RESOURCES EVALUATION
    SECURITY ASSESSMENT OF CHINA’S REE RESOURCES BASED ON PSR MODEL
    XIE Mao-hua, YANG Cai-xia
    2017, 19(1):  55-65.  DOI: 10.13776/j.cnki.resourcesindustries.2017.01.014
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    This paper establishes a RRE security assessment model which is used to analyze its pressure, status and response, aiming at acquiring the security assessment of China’s REE resources. Gray forecast model GM (1.1) is applied to predict the REE trend based on its import, export, production and consumption. REE status is studied based on its reserve, reserve/mining ratio and scarcity. This paper discusses the REE’s reserve, comprehensive use and protection. China is rich in REE reserve with scarcity over 1. REE can not only meet domestic needs, but also be exported in large quantities. This paper presents suggestions in managing mining, making export policies, promoting China’s REE production technology and carrying out REE development and protection policy.
    COMPREHENSIVE EVALUATION INDEX SYSTEM OF GEOPARK RESOURCES CARRYING CAPACITY OF CHINA
    FANG Lu, CUI Bin
    2017, 19(1):  66-72.  DOI: 10.13776/j.cnki.resourcesindustries.2017.01.007
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    It is key to establish a reasonable comprehensive evaluation index system to evaluate geopark resources carrying capacity. This paper uses the earth system theory to define the connotation of geopark resources carrying capacity, applies the framework of VERP to select the indexes, and establishes the hierarchical index system. The tier one indexes include the earth, the natural environment and the social environment sub-systems. The tier two indexes include 12 indexes such as water, lithosphere, atmosphere, and ecosphere. The tier three indexes include 31 indexes such as water area, usable water resources, annual rainfall, oxygen content, scarcity and typicality of geological remains. This evaluation index system is of great significance for protecting geological remains and eco-environment and developing resources.
    RESOURCES ENVIRONMENT
    REVIEWS ON REGIONAL RESOURCES ENVIRONMENT CARRYING CAPACITY RELATED TOPICS
    DENG Feng
    2017, 19(1):  73-77.  DOI: 10.13776/j.cnki.resourcesindustries.2017.01.013
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    This paper analyzes the interaction of factors of resources environment carrying capacity and concludes that five topics shall be considered regarding this study, i.e. regional variance, regional overall development, diversity of industrial structures, complexity of regional resources, and difference in regional management. This paper presents that the major issues in studying this topic lie in the non standardized theoretical method, insufficient transformed achievement and lagging regulation construction. Approaches suggested to the future research on regional resources environment comprehensive carrying capacity include establishing a theoretical system, unifying the technical standards, boosting the application of achievements, intensifying the monitoring, transforming administrative ideas, sustaining regional development and promoting construction of related systems.
    SPATIAL DIFFERENCE OF CHINA’S RESOURCES ENVIRONMENT CARRYING CAPACITY
    XI Xiao, YUAN Guo-hua
    2017, 19(1):  78-84.  DOI: 10.13776/j.cnki.resourcesindustries.2017.01.004
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    This paper by using resources and environment panel data of China’s 30 provinces (cities) from 2008—2013 uses spatial analysis to study China’s resources environment carrying capacity. Study of its spatial features is the basis for establishing monitoring and alerting mechanism of resources environment carrying capacity. This paper from resources, ecology, economy and policy establishes an evaluation index system for resources environment carrying capacity that is employed to measure each province’s resources environment carrying capacity. The whole and local spatial autocorrelation coefficient of resources environment carrying capacity of China’s each province implies a strong spatial autocorrelation. Provinces with better carrying capacity are concentrating in the eastern developed area, while those with worse carrying capacity are in the western underdeveloped area. This paper suggests boosting regional cooperation and exchange to increase the carrying capacity of central western China on the basis of a stable increment of resources environment carrying capacity in eastern China.
    SECTORIAL DIFFERENCE ON CARBON EMISSION OF ENERGY CONSUMPTION IN XINJIANG BASED ON INPUT/OUTPUT PRINCIPLE
    ZHANG Xin-lin, ZHAO Yuan, WANG Chang-jian
    2017, 19(1):  85-92.  DOI: 10.13776/j.cnki.resourcesindustries.2017.01.005
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    This paper analyzes the direct and indirect carbon emission from energy consumption of all sectors and finds out that the direct carbon emission comes most from industry, especially from manufacturing with the biggest contribution. The gross direct carbon emission is exclusively concentrated in a few highly energy consuming sectors with a rising trend. Three categories can be classified. Carbon intensive sectors are of large scale, responsible for Xinjiang’s economy and direct carbon emission. The sectorial concentration of indirect carbon emission is higher than that of direct carbon emission, most from petroleum refinery, coking and nuclear fuel processing. The key sectors for cutting down future indirect carbon emission cover petroleum refinery, coking, nuclear fuel processing, metallurgy, power, gas and water production and supply.
    RESOURCES ECONOMICS
    DYNAMIC QUANTITATIVE ANALYSIS ON FACTORS OF ENERGY CONSUMPTION BASED ON VAR MODEL
    DONG Jie-fang, DENG Chun
    2017, 19(1):  93-100.  DOI: 10.13776/j.cnki.resourcesindustries.2017.01.012
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    This paper, based on Shanxi’s energy economy data from 1978-2013, uses VAR model to quantitatively analyze their dynamic relation between energy consumption and factors on the basis of expanded IPAT formula with results showing a long-term dynamic balance among the energy consumption and economic growth, industrialization and fixed investment. In a short term, economic growth is the key factor for energy consumption growth, and the next is industrialization. Fixed investment has an outstanding influence in the long term. Impulse response shows a Kuznets curve between energy consumption and economic growth that rise of industrialization will decrease the dependence of economic growth upon energy consumption. Variance analysis indicates that the average contributions of economic growth, fixed investment and industrialization level to energy consumption change are 12.5%, 5.9% and 4.2% respectively. This paper presents suggestions for Shanxi province in controlling overall energy consumption and boosting green low-carbon economy.
    TEMPORAL AND SPATIAL FEATURES AND ECONOMIC FACTORS OF WATER POLLUTION:A CASE STUDY ON JIANGSU PROVINCE
    HUANG Shi, LENG Jian-fei
    2017, 19(1):  101-107.  DOI: 10.13776/j.cnki.resourcesindustries.2017.01.015
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    This paper, based on economy and water pollution data of Jiangsu from 2007-2014, uses Moran’s indicators and LMDI indicators and LISA graphs to divide economy factors of water pollution into size, structure, scientific consumption, and technical pollution effects, and studies the temporal spatial features of Jiangsu’s water pollution. GDP shows positive relation to gross water pollution spatially, with a rise and fall from 2007 to 2014. Temporally, Changes in size and scientific consumption effects increase the water pollution effect, but the structure and technical pollution effects do on the contrary. Spatially, size and scientific consumption effects have a low value concentrating, but the structure effect does not. Technical pollution effect has both high value concentrating and high-low value concentrating. Jiangsu’s water pollution is mainly concentrating in 119.6359°-119.6892°E, 32.1038°-32.2075°N region, transferring northward, and moving selectively east-westward. 
    REGIONAL SUSTAINABLE DEVELOPMENT BASED ON RELATIVE RESOURCES CARRYING CAPACITY MODEL: A CASE STUDY ON KAIDU RIVER KONGQUE RIVER BASIN
    WANG Fei, WANG Chang-jian
    2017, 19(1):  108-115.  DOI: 10.13776/j.cnki.resourcesindustries.2017.01.008
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    This paper, based on a case study on a small river basin in arid zone, uses improved relative resources carrying capacity model to measure the relative resources carrying capacity of Kaidu river Kongque river basin from 2000—2011, and discusses the temporal spatial evolution and variance of resources carrying capacity in six cities within this basin, which verified the value of the improved relative resources carrying capacity model used in small river basin. Bayangol has relatively good economy and land resources, but limited water resources. In recent years, Kaidu river Kongque river basin has an excess in population carrying capacity, but an extreme overload to overload in economy carrying capacity, mainly influenced by Korla’s overloaded economy carrying capacity. Viewing from temporal spatial perspective, the six cities within Kaidu river Kongque river basin vary largely in relative resources population carrying capacity, and are relatively stable in their economy carrying capacity.