基于协整和因果分析的我国安全生产宏观政策干预研究

为进一步分析我国安全生产政策的实施效果及存在问题,根据政策时效干预度量化模型,采用协检验、格兰杰因果检验和脉冲响应分析等计量方法对1978-2006年我国特别重大事故发生趋势与政策时效干预力度关系进行量化分析,得出特别重人事故的发生与政策时效干预力度问存在长期均衡关系,且在10%的显著水平下,特别重大事故的发生是政策时效干预力度加强的格兰杰原因.同时分析表明,目前我国安全生产政策干预表现出两大缺点:被动性和滞后性.因此,应逐步开展生产安全事故宏观预警与政策模拟等研究,为提高安全生产宏观政策干预的主动性和前瞻性提供技术支持.     

中国碳排放强度与煤炭消耗的冲击效应分析

受能源消费结构的影响,煤炭作为我国经济发展的资源支柱,一方面推动着经济快速增长,另一方面也对中国节能减排、降低碳排放强度提出了挑战,因而准确认识碳排放强度与煤炭消耗之间的交互冲击作用机理,为挖掘碳减排路径提供了科学依据.本文选取1990 - 2008年间中国碳排放强度与煤炭消耗指标,采用EG协整检验证明碳排放强度与煤炭消耗之间存在长期稳定关系,并以此建立VAR模型和脉冲响应函数,考察碳排放强度与煤炭消耗之间的长期动态影响特征.冲击响应分析结果表明:(1)煤炭消耗比重的变化对碳排放强度的冲击影晌具有一定滞后性和波动性,但冲击作用长期持久；(2)碳排放强度对煤炭消耗比重的冲击影响在短期内较剧烈,但长期冲击影响不明显；(3)煤炭消耗比重的降低在长期内会促使碳排放强度的降低,因而可以通过降低煤炭消耗比重来达到降低碳排放强度的目的.最后,从结构性降低、产业传导性降低以及技术性降低等角度,提出减少煤炭消耗、降低碳排放强度的相关对策措施.     

能源强度收敛:对发达国家与发展中国家的检验

能源强度是指一个国家或地区生产单位产值所消耗的能源量,它反映了经济系统对能源的依赖程度和能源的使用效率。许多国家的能源强度曲线在直观上表现出收敛的显著特征。为了对这一现象进行严格的证明和检验,该文依据时间序列协整概念,首先提出了能源强度收敛的定义,然后从一个包含能源投入的内生增长模型出发,从理论上证实了能源强度收敛的存在性。为了对能源强度收敛进行实证检验,选取24个国家,并划分组合为5组样本,分别对能源强度收敛进行了σ收敛检验和协整检验,结果表明:高收入国家、高中收入国家、中低收入国家、发展中国家和样本中所有国家都存在能源强度收敛现象;σ收敛检验还揭示出各组样本中能源强度收敛的时间段以及收敛程度的大小排序。     

Forecasting China’s primary energy demand based on an improved AI model

An improved energy demand forecasting model is built based on the autoregressive distributed lag (ARDL) bounds testing approach and an adaptive genetic algorithm (AGA) to obtain credible energy demand forecasting results. The ARDL bounds analysis is first employed to select the appropriate input variables of the energy demand model. After the existence of a cointegration relationship in the model is confirmed, the AGA is then employed to optimize the coefficients of both linear and quadratic forms with gross domestic product, economic structure, urbanization, and technological progress as the input variables. On the basis of historical annual data from 1985 to 2015, the simulation results indicate that the proposed model has greater accuracy and reliability than conventional optimization methods. The predicted results of the proposed model also demonstrate that China will demand approximately 4.9, 5.6, and 6.1 billion standard tons of coal equivalent in 2020, 2025, and 2030, respectively.     

Toward a green economy: The nexus between economic and environmental factors in MENA countries,ARDL bounds approach

With the transition of the global economy toward a green economy, it is important to analyze the elements that can either support or impede this transformation. Therefore, in this study, we aimed to evaluate the potential of the green economy in the Middle East and North Africa (MENA) countries by analyzing the correlation between economic and environmental factors. The objective of this study is to explore the potential of the green economy in MENA countries by analyzing key factors such as access to clean fuel, GDP, and CO₂ emissions. The study aims to distinguish between long- and short-term effects, assess the presence of a long-run relationship or co-integration between the parameter estimates, and evaluate the progress of MENA countries toward a green economy based on the impact of economic, and environmental factors. Using quarterly and seasonally adjusted data from 2000 to 2018, the auto-regressive distributed lag (ARDL) technique was employed to examine the co-integration of the factors in the long and short terms. Multiple cointegration techniques were also used to determine the feasibility of a green economy by analyzing the relationship between access to clean fuel for technology and cooking, GDP, and CO₂ emissions. The study's findings indicate a clear long- and short-term relationship between the analyzed factors, as confirmed by the error correction model (ECM) which suggests that the variables are cointegrated and potentially relevant. Additionally, the result of the autoregressive distributed lag bound test shows that the green economy variables, GDP, CO₂ emissions, and access to clean fuel, are cointegrated in the long-term.     

Oil-Induced environmental Kuznets curve in organization of petroleum exporting countries (OPEC)

This study investigates the environmental Kuznets curve (EKC) hypothesis in 10 of the Organization of Petroleum Exporting Countries (OPEC). To realize the study’s aims a time series model is built based on the period 1977–2008, utilizing the ecological footprint as an environmental indicator and income, labour, capital, oil consumption and oil price as economic indicators. Employing the Autoregressive Distributed Lag (ARDL) approach, by comparing the short and long-run income elasticities, the EKC hypothesis is present in six OPEC countries namely Algeria, Iraq, Venezuela, Nigeria, Qatar and Kuwait. Moreover, the Toda–Yamamoto–Dolado–Lütkepohl (TYDL) causality tests outcome show that, after oil consumption, the most significant factors in increasing ecological footprint are labor and capital. This implies the relocation of pollution intensive industries to almost all of the OPEC countries. However, oil prices reduce environmental damage by its negative effect on the ecological footprint. From the outcome of this study it is important for the investigated countries to reduce their consumption of fossil fuel energy since it represents an important source of pollution. This can be achieved by allocating more labor and capital in projects and investments on renewable energy, energy efficiency and energy saving.     

Bivariate cointegration between poverty and environment: a case study of Pakistan (1980–2009)

The objective of this paper is to empirically investigate a two-way statistical relationship between the agriculture environment and rural poverty. To recognise the relationship between the two variables, a time series, co-integration and Granger causality tests have been employed. Secondary data pertaining to Pakistan from 1980–2009 on rural poverty and environmental factors (such as commercial energy consumption, water availability and total cropped area) have been used for the analysis. The empirical results only moderately support the conventional view that rural poverty has a significant long-term casual effect on environmental proxies in Pakistan. The present study finds evidence of uni-directional causality between poverty and the environment in the context of the agriculture sector in Pakistan.     

环境规制和农业科技进步的关系分析——基于波特假说的研究

波特假说主要从动态的角度论证了环境规制和农业科技进步之间的正向变亿关系.而在安徽省1990 -2008年的农业生产数据的基础上,选择合适的环境规制和农业科技进步的指标变量,运用Johansen协整分析方法验证了安徽省农业生产中的环境规制和农业科技进步的关系也符合这一假说,Granger因果关系检验说明了安徽省环境规制是农业科技进步产生的原因,脉冲响应分析和方差分析则更深入地从定量的角度分析了环境规制对农业科技进步影响滞后的趋势和影响程度.由实证分析可以看出,只是从静态角度来分析,环境规制是不利于农业的科技进步的；但从长期效益来看,环境规制有利于农业的科技进步.因此,在农业生态环境恶化的形势下,严格对农业废弃物的排放限制,制定较严格的农产品生产标准和产品质量标准,提高农民的环境意识和科技意识,通过强化环境规制来促使农业生产者提高农业生产技术,提高农产品品质和产品的市场竞争力就显得尤为重要.     

经济发展与农业面源污染关系的协整检验——基于三峡库区重庆段1992-2009年数据的分析

运用协整检验和Granger因果检验方法,考察了三峡库区重庆段1992-2009年经济发展与农业面源污染之间的相互关系。研究结果表明:①经济增长是影响三峡库区重庆段农业面源污染的主要原因,且种植业、养殖业和农村生活三大类污染源排放量与农村经济发展之间都具有协整关系;②短期内农业生产总值的变化引起三类农业污染源排放量的同方向变动,长期来看,农村经济发展对农业面源污染有减缓作用,这与传统的环境—经济增长库兹涅茨倒U型曲线所揭示的一般规律相同;③农业经济的发展和种植业、养殖业的污染排放量具有双向的因果关系,但是经济发展是农村生活污染排放量增长的原因,农村生活污染排放量不是经济增长的原因,它们之间是单向因果关系。因此,我们要密切关注库区经济增长对环境质量带来的负面效应,必须依赖科学技术进步,提高种植业中化肥、农药、农膜和秸秆等的利用率,根据当地农业发展的特点以及与河流的远近,规划好农业、林业、畜牧业的结构,大力发展环保型、生态型农业,以减轻农业面源污染,实现农业经济增长与保持环境质量之间的相互协调。     

Persistence of airline accidents

This paper expands on air travel accident research by examining the relationship between air travel accidents and airline traffic or volume in the period from 1927–2006. The theoretical model is based on a representative airline company that aims to maximise its profits, and it utilises a fractional integration approach in order to determine whether there is a persistent pattern over time with respect to air accidents and air traffic. Furthermore, the paper analyses how airline accidents are related to traffic using a fractional cointegration approach. It finds that airline accidents are persistent and that a (non‐stationary) fractional cointegration relationship exists between total airline accidents and airline passengers, airline miles and airline revenues, with shocks that affect the long‐run equilibrium disappearing in the very long term. Moreover, this relation is negative, which might be due to the fact that air travel is becoming safer and there is greater competition in the airline industry. Policy implications are derived for countering accident events, based on competition and regulation.