AN ENVIRONMENTAL/INPUT–OUTPUT LINEAR PROGRAMMING MODEL TO REACH THE TARGETS FOR GREENHOUSE GAS EMISSIONS SET BY THE KYOTO PROTOCOL

The Kyoto Protocol contains legally binding targets for greenhouse gas (GHG) emissions for industrialized countries. The importance of this agreement and the elaboration of a climate change policy make it necessary to define and establish national policy measures and to bring into force environmental regulations that will reduce GHG emissions. Extending our knowledge of the economic-ecologic relationships that exist within the production sphere can assist in defining and implementing successful environmental policies. In this paper, an Environmental/Input–Output linear programming model is proposed. To develop the model we consider the input–output model as a linear programming problem combining two types of restrictions: environmental restrictions establishing GHG emission targets, and economic restrictions. The model shows how targets for the emissions of GHGs may be reached and can affect production activity composition.     

Sensitivity of US equity returns to economic policy uncertainty and investor sentiments

This paper examines the sensitivity of major US sectoral returns to economic policy uncertainty and investor sentiments. Our analysis is based on weekly frequency and ranges from January 1995 to December 2015 covering a span of 20 years. Considering existing, however limited evidence of non-linear structure exhibited by investor sentiments and economic policy uncertainty and on the basis of our non-linear diagnostics, we use novel technique of non-parametric causality in quantiles approach proposed by Balcilar, Gupta, and Pierdzioch (2016). Our results highlight that economic policy uncertainty and investor sentiments act as driving factors for US sectoral returns. The nature of relationship is reported as asymmetrical for stock returns and symmetrical for variance of returns with an exception of Healthcare sector for economic policy uncertainty and bullish market sentiments. Our study carries implications for portfolio diversification and policy makers for forecasting market efficiency and economic trends.     

The Environmental Outcome of Emissions-intensive Economic Growth: A Critical Look at Official Growth Projections for Sweden up to the Year 2000

Implications for carbon dioxide, sulphur dioxide and nitrogen oxides emissions from the Swedish government's medium-term economic projections are assessed, considering Sweden's environmental goals. Data from the first environmental accounting matrix of Sweden are exploited within the framework of the interindustry model to give emission multipliers for various components of aggregate demand. In view of these emission multipliers, it is evident that the outlined macro-economic development does not conform with Sweden's environmental goals. The oil price and the structural changes assumed in the economic projections stress still further the need for strong environmental policy measures to attain the emission goals. The allocation of total expenditure is shown here to be a critical factor for bringing down the emissions to accepted levels.     

Environmental Kuznets Curves for Air Pollutant Emissions in Italy: Evidence from Environmental Accounts (NAMEA) Panel Data

This paper provides new empirical evidence on delinking and Environmental Kuznets Curves (EKC) for greenhouse gases and other air pollutant emissions in Italy. A panel dataset based on the Italian NAMEA (National Accounts Matrix including Environmental Accounts) for 1990–2001 is analysed. The highly disaggregated dataset (29 production branches, 12 years and nine air emissions) provides a large heterogeneity and can help to overcome the shortcomings of the usual approach to EKC based on cross-country data. Both value added and capital stock per employee are used as alternative drivers for analysing sectoral NAMEA emissions. Trade openness at the same sectoral level is also introduced among the covariates. We find mixed evidence supporting the EKC hypothesis. The analysis of NAMEA-based data shows that some of the pollutants such as two greenhouse gases (CO₂ and CH₄) and CO, produce inverted U-shaped curves with coherent within-range turning points. Other pollutants (SO_X, NO_X, PM₁₀) show a monotonic or even N-shaped relationship. Macro sectoral disaggregated analysis highlights that the aggregated outcome should hide some heterogeneity across different groups of production branches (industry, manufacturing only and services). Services tend to present an inverted N-shape in most cases. Manufacturing industry shows a mix of inverted U and N-shapes, depending on the emission considered. The same is true for industry (all industries, not only manufacturing): although a turning point has been experienced, N-shapes may lead to increased emissions with respect to very high levels of the economic driver. In general, EKC evidence is more pronounced for greenhouse gases. The results suggest that analysis at macro sector (whole industry, manufacturing only and services) can be the most promising approach to future research on EKC.     

长株潭地区二氧化硫排污权交易框架构建研究

排污权交易作为一种市场环境下保护自然环境的一项经济政策,越来越得到国内外的普遍重视与应用。长株潭城市群作为“两型社会”改革试验区,对推动中部崛起,协调东、中、西部平稳较快发展,具有重要意义。结合长株潭地区s2的实际排放情况,对长株潭地区实行s02排污权交易进行必要性和可行性分析。根据长株潭地区建立so2排污权交易框架的原则,建立了相应的排污权交易框架,为长株潭建立排污权交易体系建立提供参考。     

Conceptualizing and measuring “industry resilience”: Composite indicators for postshock industrial policy decision-making

Can resilience be a relevant concept for industrial policy? Resilience is usually described as the ability of a socioeconomic system to recover from unexpected shocks. While this concept has caught the attention of regional economics researchers seeking to understand the different patterns behind regional recovery after a disruption, it is increasingly recognized that resilience can have policy-relevant conceptual applications in many other regards. In this paper, we apply it to industries and define the “industry resilience” concept and measurements. Our contribution is twofold. Theoretically, we frame industry resilience as a useful conceptual framework for policy-making to support the selection of industrial policy targets that are more capable of recovering after unexpected shocks. In addition, industry resilience can mitigate government failures by supporting decision-makers in promoting both economically and socially sustainable structural change. Methodologically, building on post-2008 U.S. data, we develop two composite indicators (CIs) to separately analyze quantitative and qualitative postshock variations in sectoral employment. Such CIs support policy-makers in visualizing sectoral performances dynamically and multidimensionally and can be used to compare each sector both to other sectors and to its counterfactual. Our results highlight that sectors react heterogeneously to shocks. This points to the relevance of tailoring vertical industrial policies according to sector features and the aims of industrial policy initiatives.     

THE POWER OF VISIBLE HANDS: AN ENVIRONMENTAL STRUCTURAL DECOMPOSITION ANALYSIS CONSIDERING THE PEOPLE'S DAILY EFFECT

As an organ of the Central Committee of the Communist Party of China, the People's Daily (PD) has a critical influence on China's policies and economy. This study examines the impact of the PD on China's economic structural changes and industry environmental performance. To separate the ‘PD effect’ from other effects in total sectoral CO₂ emission changes, we propose a new variation of structural decomposition analysis using the frequencies of keywords employed in the PD. We use data from the PD for 2001 to 2011 and the Chinese input–output tables for 2002, 2005, 2007, and 2010. The results show that, on average, the PD effect explains about 11% of changes in total sectoral CO₂ emissions. Specifically, the PD has a relatively strong impact on the mining and utility sectors, while its impact on the manufacturing sectors is relatively weak.     

Impact assessment based sectoral balancing in public R&D project portfolio selection

Government funding agencies spend significant amounts of R&D funds through funding programs. While allocating funds among sectors or scientific disciplines, the Decision Maker (DM) wants to maximize the total impact by supporting R&D activities in those sectors with higher scientific, social and economic return. On the other hand, the DM wants to balance the funding budget over sectors or disciplines. In this study, we incorporate the results of “sectoral impact assessments” into the public R&D project portfolio selection (RDPPS) problem. We develop a two-stage model. In the first stage, we make sectoral budget allocation decisions to maximize the total impact of the budget while ensuring a relative balance among sectors. In the second stage, we maximize the total score of supported projects under allocated sectoral budgets. We illustrate the proposed approach on an example problem. We show the value of the proposed approach by comparing our results with alternative policy options.     

OPTIMIZING PRODUCTION IN THE GREEK ECONOMY: EXPLORING THE INTERACTION BETWEEN GREENHOUSE GAS EMISSIONS AND SOLID WASTE VIA INPUT–OUTPUT ANALYSIS

We explore an input–output based framework for optimizing production in the Greek economy, under constraints relating to energy use, final demand, greenhouse gas emissions and solid waste. Using empirical data, we consider the effects on the maximum attainable gross value of production when imposing various pollution abatement targets. Our results quantify those effects as well as the magnitude of economic sacrifices required to achieve environmental goals, in a series of policy scenarios of practical importance. Because air pollution and solid waste are not produced independently of one another, we identify the settings in which it is meaningful to institute a separate policy for mitigating each pollutant, versus those in which only one pollutant needs to be actively addressed. The scenarios considered here represent a range of options that could be available to policy makers, depending on the country's international commitments and the effects on economic and environmental variables.     

Investigating the role of emissions trading policy to reduce emissions and improve the efficiency of industrial green innovation

Rapid economic development usually leads to serious environmental pollution problems. In order to solve the problem of pollutant emission in sustainable industrial development, it is urgent to examine the implementation effect of emissions trading policy (ETP) and its impact on green industrial development. This study adopts China's ETP as a case study and selects provincial panel data from 2004 to 2018. We first use a non-radial, non-directed, slack-based measure-directional distance function (SBM-DDF) to measure industrial green innovation efficiency. Then we use a difference in differences (DID) model to empirically test the emissions reduction effect of China's policy and whether it promotes industrial green innovation. Thereafter, results show that: (1) the ETP reduces sulfur dioxide (SO₂) emissions indicating the effectiveness of the policy; (2) the policy significantly improves industrial green innovation efficiency, meaning it promotes the sustainable development of the economy; (3) heterogeneity analysis highlights that ETP produces greater benefits for the most polluted regions of China which have more strict environmental regulations. The study examines the effect of emissions trading policy implementation from a new perspective. The study also provides a reference point for China to further refine its policy mechanisms and for other countries to formulate suitable ETP.     

Decision analysis of auto emission control

In response to public pressure to reduce air pollution, governments are forced to consider alternate means to limit auto emissions. This paper addresses the problem of evaluating these regulatory policies and choosing the one that is best for society.Economic tradeoffs play an important role in the analysis of emission control policies. Cleaner air comes only at a price, and the judgments as to “How clean?” At what price?” and “At who's expense?” are crucial. Once these value issues are resolved, questions of implementation remain. “How do regulatory policies such as mandatory emission standards for cars compare with a system of emission taxes?” “Are there ways to collect a fee from drivers to compensate those who breathe their pollution, without taxing emissions directly?”Our approach is first to describe a decision-focused analytical procedure for evaluating various policy alternatives. This procedure is then demonstrated with a preliminary analysis of representative emission control plans for the Los Angeles air basin. Both emission standards and market or “pricing” alternatives are considered. These plans include: present (1975) emission standards; an emission tax; an increase in the gasoline tax; a policy of no government control.The preliminary analysis shows market mechanisms to be superior to present emission standards. Many significant advantages of market mechanisms are discussed, though this conclusion is due primarily to—in our opinion—inappropriate value judgments that are implicit in the present standards.The analytical framework is very general, and it can be applied to a wide variety of social decisions involving externalities. The quantitative models developed, though preliminary, can be used by organizations such as regional planning agencies or pollution control boards. However, these models must not be viewed as formulas for answers to social problems. Rather, they are intended as aids for the policy maker that will help him or her balance the many factors that influence the decision and provide insight to the wisest social course of action.     

Does economic liberalization promote economic growth in Pakistan? An empirical analysis

The study aims to examine the short and long term impacts of economic liberalization on economic growth in case of Pakistan from 1971 to 2011. Economic liberalization consists of reforms in both trade liberalization and financial liberalization. This study contributes to the existing literature by constructing an economic liberalization index using principal component analysis. Our results show, firstly, that economic liberalization reforms have a positive impact on economic growth in the short run. However, trade liberalization is negatively associated with economic growth in the long-run. Secondly, the estimated coefficients through rolling window show that impact of economic liberalization on real GDP is unstable during the selected period of sample. This study recommends to policy makers to enhance human capital by having more expenditure on education sector. In addition, financial reforms by way of a sectoral credit allocation should be introduced to further promote the economic growth.     

基于水功能区划的流域初始排污权分配方式研究

排污权交易制度是治理流域水污染的有效手段,而流域初始排污权的分配是实施排污权交易制度的起点和关键。本文基于太湖流域水功能区划,以市级行政单元为主体,以COD、NH3-N、TP和TN四种污染物为客体,采用等比例削减法对太湖流域初始排污权的分配问题进行了研究,并对太湖流域初始排污权分配量与现实排污量以及太湖流域初始排污分配量与区域经济发展水平进行了分析。     

Long term projections of carbon emissions

Future scenarios of climate change depend on the projections of greenhouse gas emissions, which are highly uncertain. A framework for projecting emissions should focus on the sources of economic growth and the changing structure of the global economy over time. It also requires an understanding of key historical and statistical issues, including the role of convergence assumptions and the appropriate basis of comparisons between countries. This paper presents a methodology developed using the G-Cubed multi–country model in which the economic structure and emissions outcomes are determined simultaneously. In order to illustrate the importance of the assumptions underlying the way these long term carbon projections are produced we also explore the debate around the “Castles and Henderson Critique” of the Special Report on Emission Scenarios (SRES) regarding the use of Market Exchange Rates (MERs) rather than Purchasing Power Parity exchange rates (PPPs) for benchmarking income differentials in the world economy. We show that under one scenario, emission projections based on convergence assumptions defined in MER terms are 40% higher by 2100 than emission projections based on PPP comparisons of income differentials. While this result can not necessarily be generalized to all forecasting frameworks, the potential magnitude of the difference suggests that this is a significant issue for such projection efforts.     

Durable goods, inter-sectoral linkages and monetary policy

Durable goods pose a challenge for standard sticky-price models because the near constancy of their shadow value and their apparent price flexibility lead to perverse and counterfactual economic implications, such as the tendency of the durables and nondurables sectors to move in opposite directions following a monetary policy shock. This paper introduces input-output interactions and limited input mobility into an otherwise standard sticky-price model with durable and nondurable goods. The extended model generates substantial aggregate effects and positive sectoral comovement following a monetary policy shock, even when durable goods have flexible prices. The latter result is consistent with empirical evidence on the sectoral effects of monetary policy.     

Evaluating the impacts of the COVID-19 pandemic on unemployment,income distribution and poverty in Turkey

In the recent World Economic Outlook, the IMF indicates that world output shrank by 3.5% in 2020. Despite all pessimistic expectations, the Turkish economy was one of the few countries to have a positive, albeit low, economic growth rate in 2020. This was, however, achieved at the expense of high social and economic costs. The present research examines the distributional costs of this economic growth during the pandemic and suggests economic measures required to control them. The empirical examination is based on generating unavailable income and living conditions for 2020 by using the results available in TurkStat’s 2017 Income and Living Conditions Survey. The actual changes in sectoral output and employment, which are available as of March 2021, are used to generate changes in the income levels of households in TurkStat’s 2017 survey. The research empirically shows that adequate fiscal support with a large scope for households and businesses is necessary to compensate for economic losses caused by the pandemic. The short-run working allowance policy appears to have been very important to improve income distribution, which might have deteriorated due to the pandemic. Direct cash support to households is considered another essential policy measure that is required to mitigate the severity of increased poverty.     

What is the potential impact of a taxation system reform on carbon abatement and industrial growth in China?

Economists have long argued that market-based environmental policy such as an environmental tax is beneficial to abate pollution emissions. This study aims at investigating the impact of carbon tax levy on carbon dioxide (CO₂) abatement and industrial growth in China. To this end, the marginal abatement cost (MAC) of industrial CO₂ emissions is estimated as the benchmark of setting the carbon tax rate by using the directional distance function (DDF). This paper employs the polynomial dynamic panel model to forecast the impact of carbon tax levy on target variables such as sectoral value-added and CO₂ intensity. The results reveal that the levy of a CO₂ tax has a negative impact on industrial output only in the short term. In the long term, the impact of CO₂ tax levy on output will become positive. The levy of a CO₂ tax is always beneficial to reduce CO₂ intensity. Corresponding policy suggestions for an environmental taxation system reform are given in the concluding section.     

Enhanced network effects and stochastic modelling in generation expansion planning: Insights from an insular power system

Electricity generation capacity expansion is driven by both economic and socio-political realities. Policy makers determine public infrastructural decisions, such as climate and renewable targets, and transmission infrastructure, and the optimal generation capacity expansion follows. Policy makers therefore require planning models that can determine the optimal generation capacity mix in the long run under various scenarios, including policy choices. This work presents a planning model based on linearised alternating current optimal power flow which determines optimal generation capacity expansion and operation, in a least-cost manner, given global and local technical constraints, as well as policy decisions. We apply the model to a test case of the island of Ireland, which has two weakly interconnected systems, high renewable generation targets and low storage and interconnection. We determine the optimal generation expansion and operation out to 2030 considering the effects of increased multi-area interconnection, existing fossil fuel generation phase-out and increased renewable generation targets and carbon prices. Our results find that costs and emissions are driven primarily by the decommissioning of old inefficient generation units. High renewable targets, on the other hand, render increased carbon prices relatively ineffective in reducing system emissions. Furthermore, high renewable generation targets crowd out low-carbon power generation options such as carbon capture and storage (CCS). The strategic north-south interconnection has little effect on renewable energy source installations required to achieve renewable power generation targets but does impact on security of supply and the congestion level across the island.     

Explaining the impact of ISO 14001 on emission performance: a dynamic capabilities perspective on process and learning

I draw upon the dynamic capability model to explore how new process standards influence the ability of manufacturing facilities to improve environmental performance by reducing toxic emissions. The process standards studied are the ISO 14001 environmental management standards, in use since 1996. Hypotheses are developed to account for how early adoption of ISO 14001 and experience with the standards influence emission levels. These hypotheses are tested using a large sample of electronics manufacturing facilities and data from 1996 through 2001. Consistent with theoretical expectations, analyses show that being one of the first facilities to adopt ISO 14001 was associated with lower emissions. Further, a separate effect is due to experience: the longer a facility operated under ISO 14001, the lower its emissions. The paper discusses the implications of these results for theory and policy development. Copyright © 2007 John Wiley & Sons, Ltd and ERP Environment.     

LABORATORY EXPERIMENTS FOR ECONOMIC POLICY MAKING

Abstract In this paper, we assess the scope and the specific contribution of laboratory experiments for economic policy making. We review experiments which have addressed a specific problem, institution, mechanism design or tool relevant in economic policy. We have two research questions. What type of policy questions can be addressed in the laboratory? And what is the specific value added of economic experiments for policy making. The survey contains experiments on competition policy, auctions, regulated markets, and emission permits.