Trends and development of steel demand in China: A bottom–up analysis

With economic development, the Chinese steel industry has rapidly expanded over the past three decades. However, this expansion has resulted in many problems, such as increasing energy consumption and excessive environmental pollution. Therefore, it is important to analyze the future steel demand in China. This study presents changes in steel production and apparent steel consumption in the years 1998–2010. Steel is mainly consumed by construction, machinery, automobiles, shipbuilding, railways, petroleum, household appliances and containers, and these nine industries are analyzed separately using stock based models. The study suggests steel demand in China will rise from 600 million t in 2010 to a peak of 753 million t in 2025, and then gradually decrease to 510 million t in 2050. The construction industry is the largest steel consumer, although its share of total steel demand will decrease in the future. Steel demand in automobile manufacturing, by contrast, will increase rapidly before 2035, and its share will increase from 6.0% in 2010 to 19.0% in 2050. Sensitivity analysis on the four major impact factors such as saturation levels, lifetime distributions, GDP and urbanization rate shows that saturation levels of different products greatly affect long-term and short-term steel demands, while GDP and lifetime distributions, especially the lifetime distribution of buildings, mainly affect the short-term and long-term steel demands, respectively.     

Causal interactions between environmental degradation,renewable energy,nuclear energy and real GDP: a dynamic panel data approach

Renewable energy as well as nuclear energy are low carbon power that presents the life cycle emissions of greenhouse gases than fossil fuel energy. However, analyzing the relationship between the consumption of renewable energy, consumption of nuclear energy, CO₂ emissions and economic growth is crucial for the economic and energy policy decision; we address this question for developed countries. This paper deals with the relationships between nuclear energy, environmental degradation, real GDP and renewable energy. We apply a panel data model for a global panel consisting of nine developed countries during the period 1990–2013. The group studied consists of Canada, France, Japan, Netherlands, Spain, Sweden, Switzerland, UK and the USA. The empirical findings suggest that: (1) a causal link between emissions and real income, (2) a unidirectional causality running from renewable energy to nuclear energy, (3) a unidirectional causal relationship running from capital to environmental degradation, (4) a unidirectional causal relationship running from income to nuclear energy consumption, since the growth hypothesis is valid, (5) a unidirectional causality running from capital to income, (6) no an outstanding role of renewable energy use in the contribution of CO₂ emissions.     

Natural resource abundance in Nigeria: From dependence to development

There are several strategies open to an economy in its attempt to attain sustainable economic development depending on its historical background and resource endowment. One of such is the resource-led strategy. Nigeria is superabundantly rich in crude oil and has reaped billions of petrodollars. However, the country seems to be facing the problem of successfully translating this huge oil wealth into sustainable development. This paper employs the vector error-correction methodology in examining the long-run impact of the huge oil wealth accruing to Nigeria on its economic development. Indicators such as per capita GDP (PGDP), household consumption, infrastructural development (electricity), and agricultural and manufacturing output growth rates are examined. The results suggest a significant positive long-run impact of per capita oil revenue on per capita household consumption and electricity generation, while a negative relationship is established for GDP, agriculture and manufacturing. Even for those variables with negative relationship at current period, there exist positive relationships at subsequent lags. Thus, oil revenue, if properly managed and invested, could be effectively used to induce oil-led development in Nigeria provided the current inhibitions of corruption, lack of transparency, accountability and fairness in its use and distribution are removed.     

The relationship among economic growth,CO<Subscript>2</Subscript> emissions,and energy use in the APEC countries: a panel VAR approach

The aim of this paper is to analyze the relationship among economic growth, carbon dioxide emissions, and energy use for 19 APEC countries over the 1960–2013 years. Using a panel VAR technique, a three-variable VAR is estimated. Empirical findings illustrate that no causal relationship emerges between real GDP and energy use. Thus, our empirical evidence is in line with the “neutrality hypothesis.” Moreover, panel cointegration tests show that a long-run equilibrium relationship is questionable for the APEC countries. Granger causality analyses confirm our previous results, since in nine countries any causal relationship between GDP and energy is found.     

Dynamic material flow analysis of steel resources in Korea

Material flow analysis (MFA) is an evaluation technique that systematically identifies the flows and stocks of materials within predefined spatial and temporal boundaries. In this paper, the steel resources in Korea are investigated using dynamic MFA. Iron ore and steel scrap are added as raw material components during the production processes of steel, which is then used in a variety of product groups such as construction products, transportation equipment, machinery/metal products, electrical/electronic devices, and other products through fabrication and manufacturing processes. When such product groups are discarded, they are either recycled or landfilled. With consideration for the lifetimes of various product groups in conjunction with steel resource flows in Korea, dynamic MFA is conducted on the flows of steel stock change and annual scrap generation. By 2020, these two flows are expected to increase by as much as 40% and 30%, respectively, compared to 2008, with transportation equipment, in particular, envisaged to experience high growth. At the current recycling rate, however, it will be hard to meet future scrap demand. According to the scenario analysis, 100% of this future scrap demand can be supplied domestically if the recycling rate is increased to over 70% for all product groups, except construction products and transportation equipment, which already have high recycling rates. By 2020, the reduction in scrap importation costs is projected to offer a financial gain of 2.3 billion dollars.     

1980--2009年中国经济增长对化石能源消耗的依赖关系

随着中国经济的发展,我国高化石能源消耗问题也越来越突出。计算了1980--2009年中国人均化石能源足迹,并将其与人均GDP联系起来进行研究,发现在这30年中我国人均化石能源消耗和人均GDP都呈现逐步增长趋势,在用E—G两步法进行协整检验的过程中发现两者存在长期稳定的均衡关系;采用格兰杰因果检验进行进一步的验证分析发现,我国人均化石能源足迹和人均GDP之间互为因果关系,进一步说明我国经济发展对能源消耗尤其是化石能源消耗具有依赖性,且经济发展会进一步刺激化石能源使用的增加。因此,采取节能降耗措施应从调整产业结构和能源消费结构入手,在降低能耗期间我国会出现经济增长放缓的现象。     

Effects of economic growth on biodiversity in the United States

For many citizens and policymakers, the empirical relationship between economic growth and biodiversity conservation has not been sufficiently established for purposes of identifying the types of economic policies amenable to biodiversity conservation. Some think economic growth conflicts with biodiversity conservation; others think economic growth conduces biodiversity conservation. With panel data from 1997‐2011, encompassing US continental states, we developed a series of statistical models to investigate the relationships among species endangerment, human population, and economic growth as indicated by GDP and per capita GDP. Species endangerment is highly correlated with population and GDP, and per capita GDP is a significant regressor of species endangerment. Across US continental states, competitive exclusion of non‐human species occurs via human economic growth and population growth.     

A cointegration and causality analysis of copper consumption and economic growth in rich countries

The paper examines the copper consumption-economic growth nexus for 16 rich economies from the period 1966 to 2010. Various generations of panel unit root and cointegration tests are applied. Both series are found to be integrated of order one. Evidence of cointegration is found especially when controlling for breaks and long-run cross-sectional dependence. Causality is investigated using a vector error-correction mechanism (VECM) framework. At individual level, unidirectional causality running from economic growth to copper consumption is unraveled for Finland, France and UK in the long-run. Unidirectional causality is also found running from copper consumption to economic growth for Spain. Long-run bi-directionality between economic growth and copper consumption is found for Belgium, Greece, Italy, Japan and South Korea. The neutrality hypothesis holds for Australia, Austria, Canada, Netherlands, Portugal, Sweden and USA in the long-run. Taken as a whole, panel causality test reveals a long-run unidirectional causality running from economic growth to copper consumption.     

The Effects of Urbanization on Net Primary Productivity in Southeastern China

Net primary productivity (NPP) is one of the major ecosystem products on which human societies rely heavily. However, rapid urban sprawl and its associated dense population and economic conditions have generated great pressure on natural resources, food security, and environments. It is valuable to understand how urban expansion and associated demographic and economic conditions affect ecosystem functions. This research conducted a case study in Southeastern China to examine the impacts of urban expansion and demographic and economic conditions on NPP. The data sources used in research include human settlement developed through a combination of MODIS, DMSP-OLS and Landsat ETM+ images, the annual NPP from MODIS, and the population and gross domestic product (GDP) from the 2000 census data. Multiple regression analysis and nonlinear regression analysis were used to examine the relationships of NPP with settlement, population and GDP. This research indicates that settlement, population and GDP have strongly negative correlation with NPP in Southeastern China, but the outcomes were nonlinear when population or GDP reached certain thresholds.     

Linkage Effects and Environmental Impacts from Oil Consumption Industries in Taiwan

Input–output modeling and cluster analysis are used to assess the impacts of oil consumption industries on environmental quality and inter-industry relationships in Taiwan. Results indicate that fuel oil has the greatest impact on the environment. The transportation sector has grown rapidly with high energy intensity and severe pollution emission in Taiwan. Also, power generation, other industrial chemicals, paper products, non-metallic mineral products, petro-chemical materials, rubber products, cement and textiles are identified as the most significant industries causing serious pollution problems in Taiwan. Results of inter-industry linkages confirm that investment of the above-mentioned industries should be adjusted to better energy efficiency, environmental quality and economic bases. This study indicates that energy policy should integrate environmental policy, in addition to assuring energy and economical gains.     

The influence of iron flow on iron resource efficiency in the steel manufacturing process

An iron resource efficiency is proposed to define a measure of the natural iron resources saved in the steel manufacturing process. A simplified iron flow diagram is presented for the steel manufacturing process. The influences of various deviations in iron flow from the simplified iron flow diagram on iron resource efficiency are analyzed. The relationships between iron resource efficiency of unit processes and the final product are also discussed. As an example, data from a steel plant are used to analyze the influence of iron flow on its iron resource efficiency of finial product in the steel manufacturing process, the influence of iron resource efficiency of unit process on iron resource efficiency of the final product, and give some measures to improve the iron resource efficiency of the steel manufacturing process.     

我国出口贸易中的碳排放转移测算研究

国际贸易中碳排放转移关系到贸易双方的碳权分配与碳排放责任,处理好贸易出口和碳排放关系非常重要。本研究应用投入产出法及模型,对我国2002—2011年出口贸易的碳排放进行测算。结果显示,出口贸易与出口贸易隐含碳排放呈现出同比增长关系,从出口规模和结构看,电气、机械及器材制造业,基本金属及金属制品业,通用、专用设备制造业,化学原料和化学制品制造业等行业的碳排放位居前列,行业高碳结构性特征明显;短期内出口贸易与出口隐含碳的正相关关系不会有明显变化,但从长期来看二者的正相关关系将会趋于减弱。本研究提出以碳减排为约束,转变出口贸易结构,促进传统制造业优化升级,发展低碳贸易产品和绿色产业等建议。     

待开发区域的主导产业选择思路研究——以营口经济技术开发区为例

从区域经济发展的角度出发,系统研究待开发区域主导产业选择的基本思路.依据主导产业选择原则(发展基础原则、战略分工原则、区域适宜性原则),通过比较研究确定区域发展的产业方向,构建区域主导产业选择的指标体系,采用AHP分析方法对指标进行衡量,最终得出主导产业推荐方案.同时,对营口经济技术开发区进行实证研究,运用上述方法选择适合该区域发展的产业为:港口物流业、冶金钢材业、输变电设备制造业、重型装备制造业、电子信息业和休闲旅游业.本研究为我国待开发区域的主导产业选择提供了一种新思路,其实证分析结果也为营口经济技术开发区的主导产业选择提供了科学依据.     

Grey relation analysis of carbon dioxide emissions from industrial production and energy uses in Taiwan

This study aims to identify key factors affecting energy-induced CO₂emission changes from 34 industries in Taiwan, in order to have an integrated understanding of the industrial environmental-economic-energy performance and to provide insights for relevant policy making in Taiwan. Grey relation analysis was used in this paper to analyse how energy-induced CO₂emissions from 34 industries in Taiwan are affected by the factors: production, total energy consumption, coal, oil, gas and electricity uses. The methodology was modified by taking account of the evolutionary direction among relevant factors. Furthermore, tests of sensitivity and stability, which are seldom discussed in most grey relation analyses, were conducted to ensure the reliability of outcomes. We found that values ranging from 0·3 to 0·5 are appropriate, and the analytical results with value of 0·5 offer moderate distinguishing effects and good stability. Results indicate that industrial production has the closest relationship with aggregate CO₂emission changes; electricity consumption the second in importance. It reveals that the economy in Taiwan relied heavily on CO₂intensive industries, and that electricity consumption had become more important for economic growth. The relational order of fuels is electricity, coal, oil then gas, accordant with their CO₂emission coefficients in Taiwan. The positive relational grade of aggregate production implies that the aggregate industrial CO₂intensity tended to decline. The total energy consumption had a smaller and negative relational grade with CO₂emissions, and implies an improvement on aggregate energy intensity, while the CO₂emission coefficient increased. For industries with significant influence on CO₂emissions, the total energy consumption had the largest relational grades. It is important to reduce the energy intensity of these industries. Nevertheless, it is also critical to decouple energy consumption and production to reduce the impacts of CO₂mitigation on economic growth.     

Eco-health evaluation for the Shanghai metropolitan area during the recent industrial transformation (1990-2003)

Shanghai is a cosmopolitan city and one of the most important economic centers in China, but is saddled with serious environmental problems resulting from a recent industrial transformation. This paper examines the interactive relationships between economic growth, eco-efficiency of urban metabolism, and environmental performance of the Shanghai metropolitan area since the 1990s using 15 indicators. This study has revealed an enhanced eco-efficiency of water and energy use as well as an improved overall environmental quality in the central urban districts of Shanghai. Both TGDP (total GDP) and GDP per capita increased rapidly at the annual rate of 16.28% and 15.91%, respectively. In contrast, energy consumed per 10000RMB YUAN GDP (ECG), water consumed per 10000RMB YUAN GDP (WCG), wastewater discharged per 10000RMB YUAN GDP (WWDG), and waste gases emitted per 10000RMB YUAN GDP (WGEG) decreased at the annual rate of 9.34%, 10.69%, 14.57%, and 8.52%, respectively. The rapid decline in ECG, WCG, WWDG, and WGEG indicates an enhanced eco-efficiency of urban metabolism. However, uncontrolled emission of wastes from domestic instead of industrial sources adversely affected the overall environmental quality. In addition, suburban areas have undergone rapid economic growth at the cost of human health deterioration, as measured by mortalities and relative mortality ratios of three major diseases (tumor, respiratory disease, and trauma/toxicosis). With Shanghai serving as the "locomotive" driving the economy of the Yangtze River Basin, effective pollution control policies and a network of regional coordination are urgently needed in the globalization and ecological security of the entire area.     

重庆市环境库兹涅茨曲线检验与分析

随着经济持续发展,西部地区环境与经济矛盾日益突出,为研究西部地区经济与环境关系,本文以重庆市为例,选取1990年~2011年共22年的经济指标(人均GDP)与污染物(废水、工业废气、工业固体废弃物等)排放量为环境指标,建立经济与环境指标的协同演化模型,绘制环境库兹涅茨曲线并对重庆市经济与环境协同发展关系进行研究;结果表明:重庆市人均GDP与工业废水排放量之间呈现明显EKC关系,其转折点为2005年,即人均GDP为10982元;重庆市人均GDP与工业SO2排放量及与工业烟尘排放量和工业固体废物排放的良性关系出现和将要出现在2010年和2015年;重庆市人均GDP与总体的工业"三废"排放量之间呈现出明显的倒"U"EKC关系,2006年以后,随着人均GDP的增加,工业"三废"排放量不断减少,2011年时,工业"三废"排放量趋于平缓。由此也说明,重庆市工业"三废"排放量有明显好转的趋势。     

What caused the slack demand for metals after 1974?

This paper explores the general reasons for the sudden decline in the growth of world metal demand which began after 1974 and continues to impact the metal industries. For all of the eight metals studied, except aluminium, the dominant cause of this atrophy in demand is the stagnation in total world economic growth, which has caused reduced demand for all goods and services. In addition, consumer preferences have shifted away from metal-intensive goods, further reducing the need for metals. However, materials substitutions and manufacturing technologies have continued to evolve towards lower use of metal in each product at much the same rate after 1974 as before. Therefore, these aspects do not explain the sudden shortfall after 1974 except in the case of aluminium which experienced a dramatic change during the energy crisis years.     

深圳市工业废水的等标污染负荷分析

结合第一次全国污染源普查的统计数据,本文利用等标污染负荷法对深圳市35个二级行业排放的12种污染物进行评价,结果表明,深圳市54．90％的工业污染源分布在通信设备、计算机及其他电子设备制造业,金属制品业,塑料制品业,专用设备制造业,电气机械及器材制造业这5个行业中;深圳市二级行业的等标污染负荷最大的5个行业为：金属制品业〉通信设备、计算机及其他电子设备制造业〉电气机械及器材制造业〉塑料制品业〉仪器仪表及文化、办公用机械制造业,这5个行业中最严重的污染物均为氰化物;工业污染源排放的12种污染物中,最严重的5种污染物为：氰化物〉六价铬〉总铬〉汞〉铅,其中氰化物、六价铬、总铬这3种污染物中最严重的污染行业均为金属制品业,汞、铅这两种污染物中最严重的污染行业均为通信设备、计算机及其他电子设备制造业。     

Using growth curves to forecast long-term trends for processed raw materials

The methods of using growth curves in the economic field to forecast consumption and market developments have been based on the ‘black box’ principle in most of the published cases and have therefore failed to produce reliable results in the medium and long term. This paper introduces an engineering approach for forecasting long-term trends pertaining to the use of processed raw materials. The forecasting is performed by means of a newly developed growth model. To prove the usefulness and validity of the model presented, long-term trends have been calculated for various processed raw materials, such as nickel, platinum and steel.