Fractional Order Environmental and Economic Model Investigations Using Artificial Neural Network

The motive of these investigations is to provide the importance and significance of the fractional order(FO)derivatives in the nonlinear environmental and economic(NEE)model,i.e.,FO-NEE model.The dynamics of the NEE model achieves more precise by using the form of the FO derivative.The investigations through the non-integer and nonlinear mathematical form to define the FO-NEE model are also provided in this study.The composition of the FO-NEEmodel is classified into three classes,execution cost of control,system competence of industrial elements and a new diagnostics technical exclusion cost.The mathematical FO-NEE system is numerically studied by using the artificial neural networks(ANNs)along with the Levenberg-Marquardt backpropagation method(ANNs-LMBM).Three different cases using the FO derivative have been examined to present the numerical performances of the FO-NEE model.The data is selected to solve the mathematical FO-NEE system is executed as 70%for training and 15%for both testing and certification.The exactness of the proposed ANNs-LMBM is observed through the comparison of the obtained and the Adams-Bashforth-Moulton database results.To ratify the aptitude,validity,constancy,exactness,and competence of the ANNs-LMBM,the numerical replications using the state transitions,regression,correlation,error histograms and mean square error are also described.

The heterogeneous influence of economic growth on environmental pollution: evidence from municipal data of China

This study aims to investigate the influence of rapid economic development on pollution at the municipal level in China.It constructs a Stochastic Impacts by Regression on Population,Affluence and Technology model(STIRPAT model) and uses comprehensive municipal data on industrial pollution and economic performance.The dataset contains 290 cities from2003 to 2016 as a sample for the panel data analysis.The study further separates the cities into two groups by their levels of economic development for heterogeneity analysis.It reveals that a low level of economic development would aggravate environmental pollution,and when the economy reaches a high level,this economic development will improve environmental quality.We also find that the relationships between foreign direct investment and industrial dust and sulfur dioxide(SO_2) discharge are significant,while the relationship between economic growth and effluent emission is not.The more developed subsample cities present an inverted U-shaped curve between industrial pollutant emission,GDP per capita,and foreign direct investment,while the less developed subsamples show no such relationship.Since the shape of these curves differs among regions,their turning points vary accordingly.Based on this finding,this study suggests that the governments of more developed cities should balance environmental pollution and economic development by enhancing environmental regulations and adjusting industrial structure.

Drivers of Regional Environmental Pollution Load and Zoning Control:A Case Study of the Yangtze River Economic Belt,China

The high environmental pollution load caused by the massive pollutant emissions and the accumulation of endogenous and cross-regional pollution has become an important obstacle to the current ecological civilization construction in the Yangtze River Economic Belt(YREB)in China.Taking the YREB as an example,by using four environmental pollutant emission indicators,including chemical oxygen demand(COD),ammonia nitrogen(NH_(3)-N),sulfur dioxide(SO_(2)),and nitrogen oxides(NO_(x)),this paper established an environmental pollution load index(EPLI)based on the entropy-based measurement.Moreover,the Spatial Durbin Model was used to quantitatively analyze the drivers and spatial effects of environmental pollution load.Finally,specific scientific references were provided for formulating environmental regulations of pollution source control in the YREB.The results showed that:1)During2011-2015,the EPLI in the YREB was reduced significantly and the environmental pollution load increased from upstream to downstream.Among them,the pollution load levels in the Upper Mainstream subbasin,Taihu Lake subbasin,and Lower Mainstream subbasin were the most prominent.2)The environmental pollution load situation in the YREB was generally stable and partially improved.High load level areas were mainly concentrated in the Yangtze River Delta Region and the provincial borders in upstream,midstream,and downstream areas.The high load level areas already formed in Chengdu and Chongqing were also the key regulatory points in the future.3)The degree of local environmental pollution load was apparently affected by the adjacent cities.The population size,industrialization level,and the fiscal decentralization not only drove the increase of the local environmental pollution load level,but also affected the adjacent areas through the spatial spillover effects.The land development intensity mainly drove the increase in the local EPLI in the YREB.While factors such as economic development level and agricultural economic share could only act on the environmental pollution load process in adjacent cities.4)According to the differentiation characteristics of drivers of each city,the YREB was divided into seven zones based on k-medoids cluster method,and targeted zoning control policy recommendations for alleviating environmental pollution load in the YREB were proposed.

Technological Options to Ameliorate Waste Treatment of Intensive Pig Production in China:An Analysis Based on Bio-Economic Model

Ameliorating waste treatment by technological improvements affects the economic and the ecological-environment benefits of intensive pig production. The objective of the research was to develop and test a method to determine the technical optimization to ameliorate waste treatment methods and gain insight into the relationship between technological options and the economic and ecological effects. We developed an integrated bio-economic model which incorporates the farming production and waste disposal systems to simulate the impact of technological improvements in pig manure treatment on economic and environmental benefits for the case of a pilot farm in Beijing, China. Based on different waste treatment technology options, three scenarios are applied for the simulation analysis of the model. The simulation results reveal that the economic-environmental benefits of the livestock farm could be improved by reducing the cropland manure application and increasing the composting production with the current technologies. Nevertheless, the technical efficiency, the waste treatment capacity and the economic benefits could be further improved by the introduction of new technologies. It implies that technological and economic support policies should be implemented comprehensively on waste disposal and resource utilization to promote sustainable development in intensive livestock production in China.

Modification of the Leontief-Ford Input-Output Model for the Green Economy Goals and Environment Protection

The economics’ ecological modernization approach based on the input-output balance model is considered in the paper. The government measures on Russian Federation’s transition to green economy on reducing of greenhouse gas emissions are analyzed. In an article for green economy evaluation, including greenhouse gas emissions per capita and per unit of GDP, the indicator of the production environmental costs is proposed to include. The authors suppose adding and to modernize the Leontief-Ford model of input-output balance by economic evaluation of the environment pollution effects. This model is proposed to consider macro-economic assessment of environmental damage, health deterioration due to environmental pollution, as well as the use costs of the environmentally friendly technologies, the environmental and energy innovations’ implementation, climate change. The proposed modified model of environmentally oriented input-output balance can be used in the economic compensation system implementation on natural capital use and ecosystem services’ consuming in countries and their regions. The modified Leontief-Ford model proposed in the paper can be used for green economy development calculating, for example in Russia during the development of measures for the environment and economic development. Also this paper opens discussions for opportunities of the further possible integration of the theoretical models for environment protection decision-making.

An Algorithm of 0-1 Knapsack Problem Based on Economic Model

In order to optimize the knapsack problem further, this paper proposes an innovative model based on dynamic expectation efficiency, and establishes a new optimization algorithm of 0-1 knapsack problem after analysis and research. Through analyzing the study of 30 groups of 0-1 knapsack problem from discrete coefficient of the data, we can find that dynamic expectation model can solve the following two types of knapsack problem. Compared to artificial glowworm swam algorithm, the convergence speed of this algorithm is ten times as fast as that of artificial glowworm swam algorithm, and the storage space of this algorithm is one quarter that of artificial glowworm swam algorithm. To sum up, it can be widely used in practical problems.

Spatial spillover effects of official development assistance on environmental pressure in sub-Saharan African(SSA)countries

Impoverished sub-Saharan Africa(SSA)is under increasing environmental pressure from global environmental changes.It is now generally accepted in academic circles that economic development in SSA countries can cause environmental pressure in other countries.However,there is research gap on the impact of economic assistance on environmental pressure in SSA countries and whether economic assistance causes spatial spillovers of environ-mental pressure between SSA countries.To better understand the impact of economic assistance on environmental pressures in SSA,a dynamic spatial Dubin panel model was developed.It helped us explore the spatial spillover effects of economic assistance on environmental pressures in recipient countries based on the panel data from 34 SSA countries.The results show that economic assistance had a positive stimulating effect on environmen-tal pressures of recipient countries,which means that the degree of human disturbance to the environment has deepened.Due to the regional correlation effect,neighboring countries were saddled with environmental pres-sures from the target country.Moreover,environmental pressures have time inertia,which can easily produce a snowball effect.The decomposition of effects shows that the impact of economic assistance on environmental pressures is relatively minor.Environmental pressures have spillover effects,so to deal with diffuse risks,joint regional prevention and control policies should be developed.

Ivory Coast Intra Regional Trade： The Role of Infrastructure and Economic Environment

Intra-regional trade dynamic can foster economic integration with a contribution of the lead economy. In that way, infrastructure and economic environment play an important role in expanding trade by reducing trade costs. This paper examines the role of infrastructure and the economic environment on Ivory Coast intra-regional trade. The study performs a transformed and advanced gravity model, using panel data over the period 1996 to 2013, modelling exports of Ivory Coast. The analysis shows experts towards the other member states of West African Economic and Monetary Union （WAEMU） depend significantly on the availability of transport and communication infrastructures developed as well as variables such as Gross Domestic Product growth, economic similarity within countries, Foreign Direct Investment （FDI） net inflows in Ivory Coast. Estimations point out that indeed, the level of economic growth in the other member countries, Foreign Direct Investment （FDI） net inflows in Ivory Coast, the number of mobile phone subscribers per 100 inhabitants in Ivory Coast and the proportion of paved roads, have a positive impact on Ivory Coast intra-regional trade.

中国北方沙漠化地区生态重建的环境政策研究——基于Bioe-conomic Model

论文以内蒙古沙漠化地区为例,运用Bioe-conom ic M odel,比较自由放牧与耕垦、禁牧与禁垦、控制放牧规模与禁垦的土地利用政策情景下,引进舍饲养牛技术与信贷服务和增加非农就业机会对农户土地利用决策及其家庭收入的影响,据此探讨中国北方地区沙漠化发展的人文驱动机制以及生态重建的环境政策。结果表明:实施控制放牧规模与禁垦的环境政策,同时引进舍饲养牛技术能够有效地促进生态重建并提高农户收入;引进舍饲养牛技术需要启动基金,提供信贷服务和增加非农就业机会是贫困农户引进该技术的前提。因此,迫切需要调整宏观环境政策,提高农业集约化经营水平和城乡联系力度,从而提高农户家庭收入、减轻农民对环境的依赖性和促进农村的可持续发展。

Measuring the agricultural sustainability of India:An application of Pressure-State-Response(PSR)model

Analyzing agricultural sustainability is essential for designing and assessing rural development initiatives.However,accurately measuring agricultural sustainability is complicated since it involves so many different factors.This study provides a new suite of quantitative indicators for assessing agricultural sustainability at regional and district levels,involving environmental sustainability,social security,and economic security.Combining the PressureState-Response(PSR)model and indicator approach,this study creates a composite agricultural sustainability index for the 14 mainstream agro-climatic regions of India.The results of this study show that the Trans-Gengatic Plain Region(TGPR)ranks first in agricultural sustainability among India's 14 mainstream agro-climatic regions,while the Eastern Himalayan Region(EHR)ranks last.Higher livestock ownership,cropping intensity,per capita income,irrigation intensity,share of institutional credit,food grain productivity,crop diversification,awareness of minimum support price,knowledge sharing with fellow farmers,and young and working population,as well as better transportation facilities and membership of agricultural credit societies are influencing indicators responsible for higher agricultural sustainability in TGPR compared with EHR.Although,the scores of environmental sustainability indicators of EHR are quite good,its scores of social and economic security indicators are fairly low,putting it at the bottom of the rank of agricultural sustainability index among the 14 mainstream agroclimatic regions in India.This demonstrates the need of understanding agricultural sustainability in relation to social and economic dimensions.In a nation as diverse and complicated as India,it is the social structure that determines the health of the economy and environment.Last but not least,the sustainability assessment methodology may be used in a variety of India's agro-climatic regions.

Agent-Based Modeling: An Application to Natural Resource Management

Computer programs have been categorized as a useful tool to evaluate the complexity of systems. In fact, agent-based modeling (ABM) is considered a new method to model complex systems characterized by the role of independent and interrelating agents. Simulations contribute in estimating and comprehending emerging behaviors that require the development of new regulations for local agents that would make improvements to the system. This paper offers an example of a methodology and a process utilized to develop a simulation model named Befergyonet, an ABM used to conduct computer simulations within a spatio-intertemporal environment. The methodology discussed in this paper is intended solely to stimulate the use of innovative computer programs to simulate complex systems as an approach to represent real world events and may be a methodological guide for readers interested in developing their own ABM.

An Assessment of Potential Economic Gain from Weather Forecast Based Irrigation Scheduling for Marginal Farmers in Karnataka, Southern State in India

This study is aimed to assess the usefulness of weather forecasts for irrigation scheduling in crops to economize water use. The short-term gains for the farmers come from reducing costs of irrigation with the help of advisory for when not to irrigate because rain is predicted (risk-free because the wrong forecast only delays irrigation within tolerance). Here, a quantitative assessment of saving (indirect income) if irrigation is avoided as rain is imminent (as per forecast), using a five-year archived forecast data over Karnataka state at hobli (a cluster of small villages) level is presented. Estimates showed that the economic benefits to the farmers from such advisories were significant. The potential gain in annual income from such forecast-based irrigation scheduling was of the order of 10% - 15%. Our analysis also indicated that the use of advisory by a small percentage of more than 10 million marginal farmers (landholding < 3 acres) in Karnataka could lead to huge cumulative savings of the order of many crores.

PREMISE Insect Model： Integrated Population Dynamics Model for the Ex-ante Evaluation of IPM against Insect Pest

Codling moth Cydiapomonella L. is the most serious pest of apple and pear worldwide and causes damage and decreased yields. To minimize this risk, IPM tools can be applied to reduce the use of chemicals. A cost-effective application of IPM depends on the number of insects at the time of application. Several conditions and factors influence the lifecycle and numbers of generations within a year. In order to perform ex-ante evaluations of the cost-effectiveness of IPM measures against pest insects, the generic PREMISE insect model has been developed, which integrates insect＇s population dynamics, the climate and other conditions, applied measures, economics, environment and human health （residues）. This paper describes these components of the PREMISE insect model, and how these components interact to assess the cost-effectiveness of IPM measures and the effects on the environment and human health. Codling moth is used as a case study for this generic model.

Optimization of water-urban-agricultural-ecological land use pattern:A case study of Guanzhong Basin in the southern Loess Plateau of Shaanxi Province,China

Extensive land use will cause many environmental problems.It is an urgent task to improve land use efficiency and optimize land use patterns.In recent years,due to the flow decrease,the Guanzhong Basin in Shaanxi Province is confronted with the problem of insufficient water resources reserve.Based on the Coupled Ground-Water and Surface-Water Flow Model(GSFLOW),this paper evaluates the response of water resources in the basin to changes in land use patterns,optimizes the land use pattern,improves the ecological and economic benefits,and the efficiency of various spatial development,providing a reference for ecological protection and high-quality development of the Yellow River Basin.The research shows that the land use pattern in the Guanzhong Basin should be further optimized.Under the condition of considering ecological and economic development,the percentage change of the optimum area of farmland,forest,grassland,water area,and urban area compared with the current land use area ratio is+2.3,+2.4,-6.1,+0.2,and+1.6,respectively.The economic and ecological value of land increases by14.1%and 3.1%,respectively,and the number of water resources can increase by 2.5%.

Genetic relationship of rapeseed yield-related traits revealed by elite lines under multiple environments

To provide a theoretical basis for further improvement of Brassica napus yield, additive dominance with additive - by - additive epistatic effects （ ADAA） genetic model and a 6 X 8 partial dial- lel cross design were used to analyze the genetic effects and correlations of five yield related traits of 14 excellent Brassica napus parental lines and their 46 and F2 populations. The results showed that silique density （SD） , siliques per plant （SPP） , seeds per silique （SPS） and thousand - seed weight （TSW） exhibited not only additive and dominant effects, but also significant epistatic effects. The dominant effects of all five yield - related traits were obviously greater than their additive effects and epistatic effects. Yield per plant （YPP） showed significant genetic correlation with SD, SPP and SPS, and the main component of the genetic correlation was the dominance correlation. SPP and SPS both showed a significant negative correlation with TSW. The SD of rapeseed was genetically correlated with all three components of yield to a certain extent, and there were different components of genetic effects positively correlated with the three yield components, indicating that SD is a potential trait to reconcile the conflict between TSW and SPP as well as SPS.

区域经济-环境复合生态系统协调发展动态评价--以连云港为例

经济与环境协调发展评价是发展中国家可持续发展领域研究的热点问题。目前协调评价的模型取得了新的进展,但在应用方面多集中在现状评价,预测的案例较少;另外现有的研究多以经济子系统的发展水平与环境子系统的发展水平进行协调性评价,忽略了发展潜力这一重要变量。以连云港为分析案例,把发展潜力作为重要变量与发展水平变量相结合计算得到的综合发展指数纳入经济与环境协调评价模型中,并尝试根据系统历史与现状协调发展的演变规律运用GM(1,1)灰色模型预测系统未来的协调发展状态。现状评价与未来的预测结果表明:(1)1996—1999年连云港经济与环境系统从低级共生向环境资源的粗放利用转变;(2)2000—2006年,经济与环境的关系进入快速调整期,经济-环境复合生态系统综合发展指数不断增强,协调程度较上一阶段变化稳定;(3)到2007—2009年,环境对经济的限制作用将又逐渐显现;(4)2010—2015年,经济-环境复合生态系统整体协调度和综合发展指数都相应处于快速上升阶段。综合来看,1999年以后连云港经济-环境复合生态系统的协调度均处于0°以下,说明连云港在经济快速发展的初期往往是以环境破坏为代价的,因此在以后的发展中应主要处理好经济发展与环境保护的速度和公平问题。

The Potential Impact of Sino-Korean Bilateral Trade on Economic Growth and the Environment： A CGE Model Analysis

A consensus is still to be reached regarding the relationship between trade, growth, and the environment in either the existing theoretical models or previous empirical analyses. By using a Sino-Korean case study, we expect this work to contribute to the theoretical and empirical knowledge of the relationship between trade, growth and the environment. In this paper, four types of simulation are executed by applying a Sino-Korea CGE model. The results reveal that an increasing volume of bilateral trade boosts the real GDP at a decreasing rate. Different degrees in the volume of increase of bilateral trade produce welfare gains for Chinese households, i.e. more household spending. Welfare increases at a decreasing rate when the degree of bilateral trade growth increases less stringently, while in Korea there are welfare losses （less household consumption） when the bilateral trade target becomes increasingly stringent. Moreover, the investment gains in the economy tend to rise more sharply as the degree of bilateral trade growth increases less stringently in China. The investment tends to decrease at a proportional rate when the target bilateral trade volume becomes more stringent and the changes in the gross investment become more significant in Korea. In addition, the aggregate production shows a tendency to increase at a proportional rate with a more stringent target bilateral trade volume and when there are considerable changes in gross production. Furthermore, the impact of most production sectors can benefit China, but have a negative impact on Korea. Meantime, the simulations highlight that import growth increases carbon emissions at a decreasing rate, and export growth increases carbon emissions. According to our policy findings, policy makers should be advised to consider the third trade policy （Scenario c）, which maintains a reasonable economic growth but at the expense of investment and welfare.

中国区域经济-社会-环境的耦合协调度发展研究

经济、社会、环境之间的关系形成于区域系统各方面的众多因子相互动态耦合过程中,存在一定可遵循的演变规律。耦合协调度作用机理对完善区域协调发展建设具有重要的实践价值和理论意义。将耦合协调理论引入经济、社会、环境区域发展这一研究领域,从可持续发展理念出发,通过构建经济-社会-环境协同发展的评价指标体系,运用耦合协调模型,对中国各省份2008—2014年经济、社会和环境系统的协调状态进行测度和评价,为区域协同发展提供了理论依据和实践参考。

江苏省SO2排放环境库茨涅茨关系研究--基于半参数面板数据模型分析

以江苏省为研究区域,通过验证环境库兹涅茨曲线的存在来分析经济增长、城市化对SO_2排放的影响.采用1991-2013年江苏省市级面板数据,结合参数及半参数固定效应回归同时对经济增长/城市化与SO_2排放关系开展研究.研究发现了经济增长与SO_2排放之间存在着倒U型曲线关系,但是对于城市化与SO_2排放,二者的倒U型曲线关系并不存在.经济增长与SO_2排放之间环境库兹涅茨关系的存在表明了经济的持续发展能够协调并解决其与SO_2排放之间的困境.同时,这些研究发现有助于推动社会经济发展与环境污染关系的研究.

中日韩自由贸易协议对中国农业的经济与环境影响研究--基于可计算局部均衡模型的分析

在2010年中日韩领导人会议上,三国政府表示将推动中日韩自由贸易协议(CJKFTA:China-Japan-Korea Free Trade Agreement)的签署,加快三国贸易自由化进程。我国农产品在三国贸易中占有比较优势,在出口增加的同时,也可能拉动国内生产规模的扩大,造成环境影响。为了提高我国政府在中日韩区域经济一体化谈判进程中对农业环境问题的重视程度,并为其提供环境决策依据,需要定量分析CJKFTA对中国农业的环境影响。采用"贸易-经济-环境"链式反应评价方法(CRAM)及其框架下的可计算局部均衡(CPE)模型,能够利用更具时效性的数据,深入到微观产业乃至产品层面,比较直观而清晰地定量分析一项贸易政策的经济、环境影响。按照贸易自由化程度的不同,设置了低、中、高三种政策情景,对CJKFTA下与农产品相关的贸易政策进行分析。模拟结果表明:CJKFTA的实施将会促进我国农业的发展,表现为农产品贸易量和产量的增长;同时也可能对环境产生一定程度的负面影响,包括COD、TN、TP、农药、农膜、温室气体等污染物排放量的增加,以及水资源消耗量的增大。因此,如何出台配套政策以缓冲CJKFTA下中国农业的不利环境影响,是值得关注和重视的课题。