Enhancing the Efficiency of Enterprise Shutdowns for Environmental Protection:An Agent-Based Modeling Approach with High Spatial–Temporal Resolution Data

Top-down environmental policies aim to mitigate environmental risks but inevitably lead to economic losses due to the market entry or exit of enterprises.This study developed a universal dynamic agent-based supply chain model to achieve tradeoffs between environmental risk reduction and economic sus-tainability.The model was used to conduct high-resolution daily simulations of the dynamic shifts in enterprise operations and their cascading effects on supply chain networks.It includes production,con-sumption,and transportation agents,attributing economic features to supply chain components and cap-turing their interactions.It also accounts for adaptive responses to daily external shocks and replicates realistic firm behaviors.By coupling high spatial-temporal resolution firm-level data from 18916 chemical enterprises,this study investigates the economic and environmental impacts of an environmen-tal policy resulting in the closure of 1800 chemical enterprises over three years.The results revealed a significant economic loss of 25.8 billion USD,ranging from 23.8 billion to 31.8 billion USD.Notably,over 80%of this loss was attributed to supply chain propagation.Counterfactual analyses indicated that imple-menting a staggered shutdown strategy prevented 18.8%of supply chain losses,highlighting the impor-tance of a gradual policy implementation to prevent abrupt supply chain disruptions.Furthermore,the study highlights the effectiveness of a multi-objective policy design in reducing economic losses(about 29%)and environmental risks(about 40%),substantially enhancing the efficiency of the environmental policy.The high-resolution simulations provide valuable insights for policy designers to formulate strategies with staggered implementation and multiple objectives to mitigate supply chain losses and environmental risks and ensure a sustainable future.

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.

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.

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.

Input-Output Analysis of the Impact of Environmental Regulation on Chinese Industries

In this paper, we attempted to calculate the impact of environmental regulation on the international competitiveness of China＇s industries. Calculations are based on the input-output model that incorporates pollution control costs. We took enterprises ＇pollution control costs as the substitute variable for environmental regulation and price changes to measure the impact on international competitiveness for all sectors. Our studies reported three findings. First, price rises caused by pollution control costs were not more than 4 per cent in the manufacturing and trade sectors in 2007. Second, although the charging rate on pollutant discharge has become increasingly higher since 2003, the resultant price rise is only around O. 5 per cent across all sectors. Third, the impact brought about by increasingly stronger environmental regulation is limited and the resultant price rise does not exceed 2 per cent. Thesefindings indicate that the impact of environmental regulation on China＇s trade sectors is affordable. Therefore, it is needless to worry that environmental regulation will weaken the international competitiveness of Chinese products.

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.

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.

INPUT-OUTPUT MODELS OF SCIENCE AND TECHNOLOGY AND ITS APPLICATION IN EVALUATING PROGRESS OF ENTERPRISE SCIENCE AND TECHNOLOGY

The method of compiling input-output models of science and technology was studied,and the application of input-output techniques in evaluating the progress of enterprise science and technology was discussed.And the models for determining direct,indirect and full contributions of the progress of enterprise science and technology have been set up which can be used to analyse and evaluate the direct,indirect and full benefits of the progress of enterprise science and technology.

A Generalization of the Input-Output Pollution Control Model and Product Selection

The input-output pollution control model given in [1] is generalized. The generalization makes it easier for the model to handle many problem instances. A linear program is used to solve the new model. An example is given to show that the new model can handle classes of problems that the original model cannot handle.

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.

GREY DISPLACEMENT INPUT－OUTPUT MODELS OF MINERAL PROCESSING－METALLURGY SYSTEM

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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.

环境规制对长江经济带经济高质量发展影响的传导机制

工业发展极大地促进了中国的经济增长,但在资源和环境的双重压力下,经济高质量发展成为新时代的必然要求。在“共抓大保护,不搞大开发”的长江经济带新发展格局下,探讨环境规制对经济高质量发展影响的传导机制具有重要意义。该研究以2005—2019年长江经济带108个地级及以上城市面板数据为研究对象,构建了经济高质量发展的指标体系,将技术投入和产业结构作为中介变量,使用中介效应模型验证了环境规制与经济高质量发展的中介效应,并采用动态门槛模型探讨了不同门槛变量水平下环境规制对经济高质量发展影响的差异。研究发现:①中介效应检验结果表明,技术投入和产业结构均在环境规制对经济高质量发展的影响中具有部分中介效应。环境规制有助于提升技术投入水平、促进产业结构调整,进而对经济发展质量产生正向影响。②门槛模型的结果表明,技术投入和产业结构作为环境规制的门槛变量时,环境规制对经济高质量发展存在门槛效应。在高技术投入、产业结构落后的区域,环境规制可以更好地促进经济高质量发展。③门槛效应异质性结果表明,技术投入和产业结构变量的门槛效应存在时间异质性,技术投入政策导向和产业结构刚性等因素会影响环境规制政策的实施效果。基于以上结论,提出以下政策建议:①制定差异化的环境规制政策,推动环境规制政策的有效实施。②提高技术投入水平,为经济高质量发展提供新动能。③优化产业结构,推动产业绿色化转型升级。④明确环境补偿和专项治理机制,促进区域经济和环境规制协同发展。

政府科技投入、环境规制对经济高质量发展的影响

本文利用我国2009—2022年30个省际面板数据,构建了经济高质量发展的综合评价指标体系,并运用空间杜宾模型系统地研究政府科技投入和环境规制对经济高质量发展的影响。结果显示:首先,政府科技投入在促进经济高质量发展方面发挥着显著的正向作用,而且不同省域间存在显著的空间溢出效应。其次,环境规制对经济高质量发展呈现出“U”型影响关系,即初期有一定抑制效应,随后逐渐转变为促进效应。然而,政府科技投入和环境规制之间的相互作用对经济高质量发展产生正向影响,这表明政府科技投入能让环境规制的拐点提前到来。从空间效应来看,政府科技投入呈现出显著的空间溢出效应,且相邻地区的溢出效应更为显著;环境规制对经济高质量发展的空间溢出效应也得到证实,但溢出效应并不显著。

长江经济带水污染、环境规制与高质量经济发展关系研究

基于2009—2021年长江经济带11个省(市)面板数据,通过构建高质量经济发展评级指标体系,利用熵值法对高质量经济发展水平进行测度;基于环境库兹涅茨曲线理论进行基准回归,以水污染为门槛变量分析了环境规制对高质量经济发展的影响,并探讨了长江经济带上游、中游、下游3个区域水污染和环境规制的空间异质性。结果表明:随着水污染程度的加剧,环境规制对高质量经济发展表现出抑制作用,且抑制作用先增大后减小;水污染与高质量经济发展之间呈倒“U”形关系,且存在“环境库兹涅曲线”;长江经济带水污染与环境规制对高质量经济发展具有空间异质性。