共查询到20条相似文献，搜索用时 15 毫秒
1.
Hamisu Sadi Ali Abdelhakhem Hamed Mohamed Ali Adaa Woon Leong Lin Mbodou Ali Youssouf 《GeoJournal》2018,83(6):1339-1348
The present study investigates the dynamic impact of biomass energy consumption on economic growth across nine (9) ASEAN economic union member countries for the period of 1980–2011. We applied heterogeneous panel cointegration techniques. The result based on Pedroni panel cointegration test shows that, variables have long-run relationship as the null hypothesis of no cointegration was rejected at 1% and 5% respectively. Kao residual cointegration test also shows the same result as null hypothesis of no cointegration is rejected at 1% level of significance. The main empirical finding based on dynamic OLS, fully modified OLS and panel OLS reveals that; there is a positive and significant relationship between biomass energy consumptions and economic growth in the region. Moreover, the result based on dynamic ordinary least square (DOLS) also shows that; capital stock and human capital have a positive and significant impact on economic growth. Same result is also obtained from fully modified OLS (FMOLS) with the exception of human capital which is insignificant on economic growth. Panel ordinary least square also reconfirmed the finding of DOLS as all the three variables significantly influences economic growth. The policy suggestion remains that, authorities in ASEAN economic union should focus more on encouraging the use of renewable sources of energy, particularly biomass source of energy considering its positive impact on enhancing economic growth with little or no environmental degradation. 相似文献
2.
The global issue of atmospheric variations and global warming caused by diverse anthropogenic behaviors is a global concern. There is apprehension about preserving an uncontaminated atmosphere and attaining optimal nuclear and geothermal energy utilization with agriculture sector development. In this regard, this paper investigates the influence of nuclear energy, geothermal energy, agriculture development, and urbanization on carbon emissions and ecological footprint from 1990Q1 to 2019Q4 in the case of China. The findings of unit root tests reveal that all variables are stationary at first integration order, and cointegration test findings confirm the presence of long-run relationships among series. The quantile autoregressive distributive lag (QARDL) method findings demonstrate that nuclear energy, geothermal energy, and urbanization statistically correlate with CO2 emissions and ecological footprint across all quantiles, indicating that these determinants have contributed to environmental degradation. Whereas agricultural development has a statistically significant and negative influence on the environment, implying that agriculture has a pollution-mitigation impact. Based on these empirical findings, several policy implications are presented to preserve environmental quality to achieve the 2030 Sustainable Development Goals (SDGs) target. 相似文献
3.
The present article examines the dynamic linkages between biomass energy consumption, capital stock, human capital and economic growth across selected Sub-Saharan African countries based on dynamic heterogeneous panels of a mean group (MG) and pooled mean group (PMG) techniques. The finding based on PMG as the preferred method reveals that biomass energy consumption, capital stock and human capital are statistically significant, which means aforementioned variables have positive significant impact on economic growth in the countries studied. When an alternative panel estimation techniques of panel cointegration, dynamic OLS (DOLS) and fully modified OLS (FMOLS) are applied, the result based on panel cointegration technique reveals that biomass energy consumption, capital stock, human capital and economic growth are cointegrated as null hypothesis of most statistics are rejected at 1 % level of significance. The finding based on FMOLS shows that biomass energy consumption, capital stock and human capital positively influences economic growth at 1 % level and same result is obtained from panel OLS. The result based on DOLS however reveals that biomass energy consumption and capital stock are significant at 1 % on economic growth while human capital is insignificant. Considering its positive effect on economic growth with little or no environmental degradation when compared with fossil fuel uses, consumption of biomass energy is more preferable in these countries therefore is the best option to adopt by the policy makers of Sub-Saharan African countries. 相似文献
4.
In this paper, the data envelopment analysis (DEA) method is introduced to analyze the input–output efficiency of energy consumption and economic indicators in Beijing city under the influence of short-term climatic factors. Total energy consumption, fixed asset investment, average temperature, precipitation, sunshine hours, average wind velocity and the average pressure being employed as the input variables, gross domestic product (GDP) and per capita disposable income being employed as the output variables, effective technology and the validity of the scale of DEA of 31 decision-making units (DMUs) under the influence of the short-term climatic factors are analyzed, and the inefficient DMUs are improved. Empirical analysis shows that both energy consumption and economic growth are sensitive to short-term climate condition, and the reasonable employing of extreme climatic conditions is a question worthy of consideration. This study provides effective basis for the scientific and reasonable arrangement of Beijing city’s short-term climatic resources and energy–economic development. 相似文献
5.
Under the assumption of “technology will not be forgotten,” this study estimates and decomposes the total-factor energy efficiency (TFEE) using the sequential data envelopment analysis-Malmquist productivity index and directional distance functions that consider undesirable output based on the provincial panel data of China from 2001 to 2013. On this basis, we make an empirical study of the relationship between foreign direct investment and energy efficiency with the dynamic panel model. The result shows that over the sample period, on the national level, the trend of the TFEE was upward, but the growth rate showed a downward trend. On the regional level, the TFEE in the eastern region was higher than that in the central and western regions. In addition, foreign direct investment enhanced the energy efficiency significantly, which demonstrated that the “pollution halo” effect was greater than the “pollution haven” effect. It is indicated that technical progress was the main cause of the increase in the TFEE, but technical efficiency played the opposite role. This conclusion remains valid even if the TFEE indicator is changed into the single-factor energy efficiency indicator.
相似文献6.
USA and China are the two largest energy-consuming countries, and energy supply vulnerability is a prior topic on energy policy. Then, we develop energy supply vulnerability assessment index including the sustainability, the stability, the reliability, and the diversification indicators to assess and compare the change of energy supply vulnerability between China and USA based on the data in 2001–2010. We found that the fluctuations of energy supply vulnerability in China are more than those of USA. In 2001–2006, the index of China’s energy supply vulnerability presented a quick uptrend, but it presented a slow downtrend in 2007–2010 due to the uncertainty of some indicators; energy supply vulnerability of USA presented smaller change from 2000 to 2008 because of the stable and comprehensive energy supply system, but in 2009 and 2010, it became obviously less than those in other years due to the decline of energy consumption per capita. Additionally, Chinese energy supply also faces higher maritime transportation and geopolitical vulnerability than that of USA. The comparisons of the change of energy supply vulnerability between China and USA show that it is important to develop comprehensive energy supply system to reduce the uncertainty of main effect indicators, such as the control of energy consumption growth, and the diversification of energy supply and import.
相似文献7.
Widespread controversy and a lack of empirical research exist with regard to the relationship between information communication technology (ICT) and energy consumption, especially in developing countries. This paper adopts a partial least square (PLS) method to explore the impact of ICT on energy consumption in China. Its main conclusions indicate that the impact can be represented by a U-shaped curve and the turning-point for ICT capital service is 10.93 units at 1990 constant prices. The negative effect of ICT was dominant until 2014. Moreover, the ARDL-ECM results also reveal a negative association between ICT and energy consumption in the short run. In addition, the influence of population, income, industrialization level, service sector development, energy price, energy consumption structure and non-ICT capital service on energy consumption is examined. Finally, policy recommendations are given. 相似文献
8.
Noting the significance of asymmetries in macroeconomic literature, this study aimed to estimate the asymmetric linkages between energy growth and the environment for BRICST countries between 1990 & 2017. For this purpose, this study applied hidden cointegration, panel NARDL, and asymmetric causality tests between the variables. In the first step, the results supported the existence of hidden cointegration between the variables. In the next step, empirical results obtained from panel NARDL results explained that the chosen variables have asymmetric relationships and are highly responsive to macroeconomic shocks. Initially, the positive shocks of energy consumption positively respond to environmental degradation; similarly, the negative shocks also correspond positively to CO2 emissions. In the economic expansion phase, the positive shocks of growth have insignificant, and adverse shocks negatively respond to CO2 emissions in BRICST countries. The results of individual countries along BRICST differ at various levels in response to asymmetric shocks. Different asymmetric causalities between the chosen dimension of variables are explored. From the asymmetric associations between the variables, the study proposes to forecast the energy demand and explore alternative ways to energy resources to shift their fossil energy bases to renewable systems. Similarly, adopting ICT products could make energy efficiency in these countries more productive towards improving environmental quality. 相似文献
9.
随着全球经济的发展,能源消费不断增长。在全球的能源消费中,可再生能源占比不断提高,2017年占比为10.4%,成为能源消费的重要组成部分。全球可再生能源的利用中,水电处于主导地位,占6成以上;其次为风能,占比超过1成;太阳能和地热发展较晚,占比均不足1成。各国可再生能源利用水平不均,挪威、加拿大和巴西等国家的可再生资源已成为本国能源消费的主要来源之一。中国同样重视可再生能源的开发利用,2017年中国能源消费中可再生能源占比为11.8%,已超过天然气成为第三大能源消费来源。总之,随着可再生能源开发利用水平的不断提高,可再生能源在全球能源消费中的比重将进一步增加,将成为化石能源的重要替代资源。 相似文献
10.
N. D. Uri 《Environmental Geology》1999,37(1-2):9-18
The impact of energy on the adoption of conservation tillage is of special importance in addressing concerns about the effect
of agricultural production on the environment in the United States. It is the subject of this paper. After establishing that
a relationship exists between the price of energy and the adoption of conservation tillage via cointegration techniques, the
relationship is quantified. It is shown that while the real price of crude oil, the proxy used for the price of energy, does
not affect the rate of adoption of conservation tillage, it does impact the extent to which it is used. Finally, there is
no structural instability in the relationship between the relative use of conservation tillage and the real price of crude
oil over the period 1963–1997.
Received: 6 February 1998 · Accepted: 4 May 1998 相似文献
11.
Stress of urban energy consumption on air environment 总被引：1，自引：0，他引：1
With rapid urbanization and heavy industrialization as well as the rapid increase of cars in China, the effect of energy consumption
on urban air environment is increasingly becoming serious, and has become a hot topic for both scholars and decision-makers.
This paper explores the effect mechanism and regulation of urban energy consumption on the air environment, and summarizes
the framework of the stress effect relationship and the evolutionary process. In accordance with the effect relationship of
the internal factors between the two, analytic approaches studying the stress effect of urban energy consumption on air environment
are proposed, including the analysis of air environment effects caused by urban energy consumption structure change, and the
analysis of air environment effects caused by urban energy economic efficiency change, as well as a decomposition analysis
of air pollutant emission caused by urban energy consumption. Applying the above-mentioned approaches into a case study on
Beijing City, this paper analyzes the effect relationship among urban energy consumption structure improvement, energy economic
efficiency increase and air quality change since the period when Beijing City officially proposed to bid for the 2008 Olympic
Games in 1998. In addition, it further analyzes the effect and contribution of urban industrial activity level, industrial
economic structure, industrial energy intensity, and industrial energy structure as well as emission coefficients on the change
in industrial SO2 emission, which can provide valuable information to the government for making comprehensive environmental policies, with
the use of the logarithmic mean Divisia index (LMDI) method. It is shown that under the precondition that the industrial economy
maintain a continuous and rapid increase, improvements in energy intensity and a decline in emission coefficients are the
main means for reducing Beijing’s industrial SO2 emissions. 相似文献
12.
13.
Cold and warm air temperature spells during the winter and summer seasons and their impact on energy consumption in urban areas 总被引：1，自引：1，他引：0
The main objective of this study is to determine and analyze cold and warm air temperature spells in the last 6 years (2007–2012) and reveal their impact on electrical energy consumption in a small-sized city such as Sombor (Serbia) with less than 50,000 inhabitants. Hourly air temperature values and electrical energy consumption data have been used as database for all methods. Warm and cold temperature spells (during heat and cold waves) have had the increasing tendencies in the last 6 years and they reflect on additional electrical energy consumption. Detailed analysis showed that higher energy demands occur during workdays and daytime period. Monitoring of the amount of consumed energy showed a clear relationship during the winter cold temperature spells, when electrical energy demand was higher than 0.3 MW. In summer period, the relationship was weaker and consumption was higher than 0.15 MW only when temperature exceeded 30 °C. A small number of air condition devices in houses and companies and mainly one-store buildings with thick walls, which make a good insulation from the outside air temperatures, are probably the main reasons for the above-mentioned results in summer. This paper introduces a new method to resolve the problem of short-term load forecasting, based on the support vector machines (SVM) technology and particle swarm optimization that has been used to optimize the SVM parameters. Similar-day-based forecast has shown that similar days for training should be filtered also using classifier of temperature period (cooling degree-days or heating degree-days in a row). Forecasting error is smaller compared to solutions where similar days are found only on season and temperature. 相似文献
14.
中国重要矿产资源的需求预测 总被引：36，自引：22，他引：14
以往对矿产资源的中长期需求预测,大都基于纯数学模型或情景分析对已有数据的经验外推。由于缺乏对工业化过程矿产资源消费需求基本规律的把握,预测结果几乎无一例外地存在巨大偏差。笔者在深入分析工业化经济增长与矿产资源消费需求的相关关系、基本规律和模式的基础上,探讨了工业化过程中矿产资源消费从怎样的初始值通过什么样的方式到达多高的峰值,进而提取经济增长与矿产资源消费需求的模式参数,预测了中国未来30a能源、钢、铜、铝、锌的消费需求。 相似文献
15.
This paper explores China’s strategies for addressing climate change on the industrial level. Focusing on six energy-intensive industries, this paper applies gray relational analysis theory to the affecting factors to CO2 emissions of each industry after calculating each industry’s CO2 emissions during 2001–2010. Further research based on GM(1, 1) model is conducted to forecast the trend of the factors, the energy consumption and each industry’s CO2 emissions during the 12th Five-Year Plan period. As a breakthrough in previous conclusions, energy consumption structure was divided into the respective proportion of coal, oil, natural gas and electricity in the primary energy consumption, with which industrial output and energy intensity are combined to analyze each of their impacts on the energy-intensive industries. It turns out that all the factors’ impacts on emissions of the six major energy-intensive industries are significant, despite their differentiated extents. It is worth noting that, contrary to previous findings, industrial output is not the leading affecting factor to CO2 emissions of the energy-intensive industries compared with the proportion of coal and electricity in the primary energy consumption. The GM(1, 1) forecast results of energy consumption and CO2 emissions by the end of 2015 show that coal and electricity will remain a large proportion in primary energy consumption. This research may shed some light on China’s adjustment of energy structure under the pressure of addressing climate change and hence provide decision support for the acceleration of renewable energy utilization in the industrial departments. 相似文献
16.
为了把握贵州岩溶地区的能源生态足迹和能源生态足迹效率的动态变化情况,文章采用基于生态足迹模型的能源生态足迹效率的定量研究方法,利用1978-2011年的历史数据计算,分析了贵州岩溶地区能源生态足迹和能源生态效率的动态变化特征。研究结果表明,在研究时段,贵州岩溶地区能源生态足迹和能源生态足迹产值呈阶段性递增趋势,能源生态足迹强度呈阶段性下降趋势,能源生态足迹产值虽有所提高,但仍低于全国平均水平。社会经济发展与能源足迹灰色关联分析结果表明,贵州岩溶地区经济发展与能源消耗关系十分密切,高能耗经济问题比较突出。 相似文献
17.
Liu Han-long Wang Cheng-long Kong Gang-qiang Ding Xuan-ming Bouazza Abdelmalek 《Acta Geotechnica》2019,14(5):1605-1613
This paper introduces a simplified method to investigate the influence of thermal loads on the shaft friction and tip resistance of energy piles. The method is based on the influence factors (λ and η) which are back-calculated drawing on a large number of field and model tests. Values for λ and η during heating and cooling are suggested. Moreover, a new equation is proposed to calculate total shaft friction. The equations concerning the relationship between η and temperature difference are recommended to investigate the impacts of the thermal load on the pile tip resistance. The slope of the linear equation of an end-bearing pile is 2.14 times that of a floating pile indicating that the pile tip resistance of an end-bearing pile is much more affected by the same thermal load.
相似文献18.
化能自养型微生物利用太阳能途径的实验研究 总被引：2，自引：0，他引：2
针对自然界中天然半导体矿物和化能自养微生物之间的能量交换途径进行了详细的实验研究.半导体光电化学实验结果显示,天然半导体矿物在光照情况下产生的光生电子可将Fe3+还原为Fe2+,其中金红石光催化还原Fe3+的效率为12.5%,闪锌矿为7.86%,该过程通过天然半导体矿物的日光催化作用实现了太阳光能→电能→化学能的转化;控制电势的微生物电化学反应实验结果显示,化能自养型微生物A.f.菌的细胞增加量与外界电子传入而生成的Fe2+的量呈线性关系,且有外来电子传入实验组的A.f.生长量是无电子传入组的441%,该过程通过菌的生长代谢作用实现了化学能→生物质能的转化.进一步的光电化学和微生物电化学耦合实验结果证明,在太阳光和天然半导体矿物共同作用下,A.f.菌的对数生长期由无光时的36 h延长到72 h,同时细菌的生长在该能量转化过程中得到了明显促进.在天然闪锌矿催化条件下,有光条件的A.f.菌数量增加到无光条件的1.90倍;而在金红石催化条件下,有光条件的A.f.菌数量增加到无光条件的1.69倍.实验结果说明,在以天然半导体矿物为媒介的情况下,化能自养微生物可间接利用太阳能来获得自身的生长繁殖所需的能量,这一过程也实现了太阳光能→电能→化学能→生物质能的能量转化途径. 相似文献
19.
地球早期生命起源的第一步是合成简单的有机化合物，但合成有机物所需能量来源问题长期困扰着学术界。早期地球上丰富的硫化物半导体矿物可将太阳光子转化为光电子，提供持续的能量来源。也正是由于矿物光电子能量较高，在非生物途径合成小分子有机物方面具有优势。其中半导体矿物自然硫转化太阳能产生的光电子能量，是目前所发现的最高的矿物光电子能量，不仅能直接还原CO2分子为甲酸物质，还可催化其他生命基础物质的合成。在全球陆地系统中暴露在阳光下的岩石/土壤表面普遍被一层铁锰氧化物“矿物膜”所覆盖，光照下含半导体矿物水钠锰矿的“矿物膜”产生原位、灵敏、长效的光电流，显示出优异的光电效应。生物光合作用中心Mn4CaO5在裂解水产氧过程中产生成分和结构类似水钠锰矿的结构中间体，地球早期“矿物膜”中水钠锰矿可能促进了锰簇Mn4CaO5与生物光合作用的起源与进化。早期地球半导体矿物为生命起源基本物质的合成提供直接能量来源，矿物光电子能量在地球早期生命起源与进化中起到了重要作用。 相似文献
20.
This paper analyzes the relationship between meteorological catastrophic factors and gross domestic product (GDP) growth rate of Nanjing city (China). The sample spans the period 1980–2010, including GDP growth rate and meteorological catastrophic factors (extreme precipitation, extreme temperature and extreme wind speed). We utilize econometric methods to take co-integration analysis and Granger causality test among GDP growth rate and the time series of meteorological catastrophic factors of Nanjing city processed by buffer operators. Finally, the paper shows the short-term changes in minimum atmospheric pressure, extreme high temperature, and minimum relative humidity, which has a positive impact on GDP; the cumulative effect of extreme precipitation and GDP affects each other to some extent, they are mutually Granger causes. Moreover, at the 95 % confidence level, we believe that maximum wind speed is the Granger causation of GDP growth rate. 相似文献