Does Financial Development Affect Environmental Degradation? Evidence from the OECD Countries

In this study, building a simple model that incorporates static and dynamic elements, the relationship of financial development and economic growth to environmental degradation is investigated together with the validation of the Environmental Kuznets Curve (EKC) hypothesis. Our analysis is based on an unbalanced panel data set covering the OECD countries over the period 1970–2014. Our approach thoroughly accounts for the presence of cross‐sectional dependence between the sample variables and utilizes second generation panel unit root tests in order to investigate possible cointegration relationships. The empirical findings do indicate that local (NO_x per capita emissions) and global (CO₂ per capita emissions) pollutants redefine the EKC hypothesis when we account for the presence of financial development indicators. Specifically, in the case of global pollution an N‐shape relationship is evident in both static and dynamic frameworks, with a very slow adjustment. Lastly, our study calls for a strengthening of the effectiveness of environmental degradation policies by ensuring sustainability of the OECD banking system in order to drastically reduce emissions. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment     

基于EKC的杭州市经济增长与环境质量演进关系研究

以EKC为理论基础,选取1983-2010年杭州市经济和环境数据,通过二次、三次函数模型拟合,建立最优模型,以此分析杭州市经济增长与环境质量演进的关系。结果表明:人均GDP与6种环境指标的EKC均呈现出倒U形的特征。其中工业废气排放量、人均工业废气排放量、工业废水排放量、人均工业废水排放量已越过转折点,出现在EKC右侧;工业固体废物产生量、人均工业固体废物产生量还处于EKC左侧。据此提出相应的政策建议。     

A CARBON FOOTPRINT TIME SERIES OF THE UK – RESULTS FROM A MULTI-REGION INPUT–OUTPUT MODEL

The framework and results of an international multi-region input–output (MRIO) model for the UK are presented. A time series of balanced input–output tables for the UK was constructed for the period 1992 to 2004 by using a matrix balancing procedure that is able to handle conflicting external data and inconsistent constraints. Detailed sectoral and country-specific trade data for the UK were compiled and reconciled with the UK input–output data, and economic and environmental accounts for three world regions were integrated in a UK-specific MRIO model. This was subsequently used to calculate a time series of national carbon footprints for the UK from 1992 to 2004. Greenhouse gas emissions embedded in UK trade are distinguished by destination of imports to intermediate and final demand. Most greenhouse gases show a significant increase over time in consumer emissions and a widening gap between producer and consumer emissions. Net CO₂ emissions embedded in UK imports increased from 4.3% of producer emissions in 1992 to a maximum of 20% in 2002. The total estimated UK carbon footprint in 2004 was 730 Mt for CO₂ and 934 Mt CO₂ equivalents for all greenhouse gases.     

A Structural Decomposition Analysis of Pollution in the Netherlands

This paper reviews the results of a structural decomposition analysis in which the annual changes in a number of air pollutants and solid waste are decomposed according to their causes. The analysis in this paper is applied with the help of the so-called National Accounting Matrix including Environmental Accounts (NAMEA) for the Netherlands, covering annual data for the period 1987-1998. In a sensitivity analysis it is shown that the average of any pair of so-called 'mirror image' decomposition forms will substantially reduce the variation in the estimates. These mirror image couples are approximately just as reliable as the full average of all decomposition forms. Besides reliable results, the full average also foresees the mutual comparability between the distinguished change factors and is therefore applied in the empirical analyses presented in this paper. The results of these analyses contain the macro-economic developments, results on the industry level as well as a comprehensive overview of the origin and destination of pollution in the Dutch economy that includes the environmental consequences of consumption and international trade.     

USING TIME-SERIES TO MEASURE UNCERTAINTY IN ENVIRONMENTAL INPUT–OUTPUT ANALYSIS

Environmental Input-Output Analysis (EIOA) is a tool for environmental analysis of broad classes of sectoral activities, taking into account indirect effects in other sectors in the supply chain. The core of EIOA is an input–output table (IOT) and national accounting matrix including environmental accounts (NAMEA) for a fixed base-year. We evaluate the uncertainty in EIOA using a time series of current-price IOT and NAMEA for 13 years from 1990 to 2002. We find annual variations in the current-price IOT and NAMEA, which may represent either realistic changes in production or measurement error. We assume the changes are errors and apply a regression analysis to remove the trends from the underlying data and estimate the uncertainty in the raw IOT. We then calculate the emissions for various final users and sectors to estimate the uncertainties from typical EIOA investigations. Using Monte Carlo analysis, we then investigate how well the variations in the current-price IOT and NAMEA over time may represent uncertainties. The results of this work have several implications for both statistical offices and the analyst. Statistical offices can provide details on data sources, methodologies, and estimates of annual variations. Analysts can incorporate this uncertainty information to understand the implications of uncertainty on their calculations and ultimately the policy recommendations derived from their studies.     

DISAGGREGATING THE ELECTRICITY SECTOR OF CHINA'S INPUT–OUTPUT TABLE FOR IMPROVED ENVIRONMENTAL LIFE-CYCLE ASSESSMENT

Missing process detail of sectors in Input–Output (I–O) tables has been pointed out as a limitation of I–O analysis in environmental-economic life cycle assessment. Aggregation of resource-intensive sectors decreases the accuracy of the results. Often, economic sectors are compiled in a more aggregated form than environmental satellite accounts, and as [Lenzen, M. (2011) Aggregation Versus Disaggregation in Input–Output Analysis of the Environment. Economic Systems Research, 23, 73–89] asserts, it is superior for environmental analysis to disaggregate the I–O table, even if only partial information exists for the disaggregation. In this paper we present a methodology to disaggregate the electricity sector of the Chinese national I–O table by using regional information and cost data for operation and maintenance of power plants. The electricity sector is disaggregated into a transmission and distribution sector as well as eight sub-sectors representing different types of technology in power plants (subcritical coal, hydro, etc.). The electricity consumption mix of each industry is determined by using regional industry presence and regional electricity power mixes. The disaggregated I–O table offers refined results for calculating emissions embodied in international exports from China, a valuable contribution for estimating national greenhouse gases emissions inventories under the consumption-based approach for countries that rely heavily on imports of goods from China.     

The Environmental Kuznets Curve,Cointegration and Nonlinearity

This paper clarifies some conceptual shortcomings of the empirical environmental Kuznets curve (EKC) literature that arise because of the hitherto inadequate application of unit root and cointegration techniques. The literature to date has ignored the fact, and a fortiori the consequences, that powers of integrated processes are themselves not integrated processes. The paper explains why standard methods should not be applied and discusses some recently proposed viable estimation and testing approaches for cointegrating polynomial regressions. The application to CO₂ and SO₂ emissions data shows that using appropriate methods leads to strongly reduced evidence for a cointegrating EKC compared to typical but conceptually not sound findings. Copyright © 2014 John Wiley & Sons, Ltd.     

Corporate Environmental and Economic Performance of Japanese Manufacturing Firms: Empirical Study for Sustainable Development

This study examines the relationship between environmental performance and economic performance in Japanese manufacturing firms. The environmental performance indicators include CO₂ emissions and the aggregate toxic risk associated with chemical emissions relative to sales. Return on assets (ROA) is used as an indicator of economic performance. We demonstrate that there is a significant inverted U‐shaped relationship between ROA and environmental performance calculated by aggregated toxic risk. We also find that the environmental performance increases ROA through both returns on sales and improved capital turnover. However, we observe a significant positive relationship between financial performance and environmental performance based on CO₂ emissions. These findings may provide evidence for the consequences of firms' environmental behavior and sustainable development. Copyright © 2012 John Wiley & Sons, Ltd and ERP Environment.     

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.     

基于环境库兹涅茨模型的江西省物流业碳排放分析

介绍了江西省物流业的发展现状和碳排放现状,以环境库兹涅茨模型(EKC)对江西省物流业碳排放进行分析,并提出相应对策。     

Pollution Havens and Their Relationship to the Environmental Kuznets Curve: The Case of the us Tyre Industry

The Environmental Kuznets Curve hypothesis suggests that, as a country's national income grows, environmental degradation subsides as the population demands a cleaner environment. On the other hand, critics of the Environmental Kuznets Curve claim that many polluting industries simply relocate offshore, where environmental compliance is less costly. They then export their products back to their previous home countries. This is known as the Pollution Haven hypothesis. This article demonstrates how pollution havens can falsely give the appearance of an Environmental Kuznets Curve by analysing lead emissions from the US automotive tyre manufacturing industry.     

Does financial development stimulate environmental sustainability? Evidence from a panel study of 115 countries

This paper investigates the moderation effect of financial development (FD) on the environmental Kuznets curve (EKC). Using comprehensive panel data of 115 countries spanning the 1990–2016 period and dividing the countries into different income groups, the researcher found systematic differences in the relationship between significant indicators of environmental degradation and economic growth. More specifically, the interaction effect of FD on the relationship between gross domestic product (GDP) growth and CO₂ emissions are positive; nevertheless, the interaction effect of FD on the relationship between GDP squared and CO₂ emissions become negative for all income groups and therefore supports the EKC. Moreover, the interaction effect of FD is negative on the relationship of GDP with both CH₄ and PM_2.5 emissions in the middle‐income groups, whereas the interaction effect of FD on the relationship between GDP squared and PM_2.5 emissions are negative for the high‐income group. Our results suggest that FD can reduce environmental degradation without adversely impacting on growth.     

HOUSEHOLDS’ BEHAVIOUR AND ENVIRONMENTAL EMISSIONS IN A REGIONAL ECONOMY

Households have significant demand-side potential to drive reductions in atmospheric emissions, including both direct and indirect emissions. Our analysis focuses on the behaviour of a regional economy (Aragon, Spain) and its impact on greenhouse gases (GHG) and sulphur dioxide (SO₂). Using a CGE model, we simulate scenarios and evaluate the environmental impact of adopting changes considered in the Aragonese Climate Change and Clean Energy Strategy. Specifically, we analyse the impact of electricity savings and the promotion of public transport (bus or train) versus private car use. The results indicate that 1 MWh of saving in electricity consumption by households could reduce emissions of GHG by 0.112 kt of equivalent CO₂ and 8.209 kg of SO₂ with a shift in demand preferences and 0.022 kt of equivalent CO₂ and 7.612 kg of SO₂ with an efficiency improvement. Moreover, household changes in demand preferences regarding private/public transport, also contribute to reduce emissions.     

Sustainable product attributes and firm performance: The moderating role of marketing resource intensity

This paper aims to study the performance implications of sustainable product attributes (SPA) of US manufacturing firms. Specifically, it analyzes the influence of aggregate and disaggregated SPA on firm profitability. The study further explores the moderating influence of marketing resource intensity on aggregate and disaggregated SPA and firm profitability relationships. The fixed-effect regression analysis of 433 US manufacturing firms' panel dataset reveals that aggregate and disaggregated SPA positively influence the firm profitability. The moderation analysis also confirms the positive influence of marketing resource intensity on aggregate and disaggregated SPA and firm profitability relationship. The current paper contributes to the triple-bottom-line and theory-of-the-firm literature streams by empirically studying the influence of aggregate and disaggregated SPA on firm profitability. Furthermore, this study uses the resource-based view to complement theory-of-the-firm model of SPA and empirically study the moderating role of marketing resource intensity between aggregate and disaggregated SPA and firm profitability. Finally, the findings inform the managers of the increased firm profitability by aggregate and disaggregated SPA, and the pivotal role of marketing resource intensity in strengthening the positive influence of aggregate and disaggregated SPA on US manufacturing firms' profitability.     

城市交通系统的节能降耗技术政策研究

能源逐渐枯竭和环境日益恶化成为世界各国所面临的最严峻的问题.城市交通是能源消耗、温室气体和污染物排放不容忽视的领域,加快城市交通节能降耗技术的研究和推广,是我国应对全球性能源危机不可缺少的环节,也是实现城市可持续发展、构建资源节约型和环境友好型社会的重要举措和发展策略.本文分析了城市交通能耗状况,提出了城市交通节能降耗技术政策建议.     

中国对外贸易、经济增长与环境污染的路径演化关系

基于环境库兹涅茨曲线(EKC)理论,结合广义脉冲响应函数和方差分解法,采用1990-2008年我国相关数据,对三类环境污染物排放指标与人均GDP、商品进出口总额等之间的关系进行了实证分析,指出随着我国人均GDP和对外贸易的进一步增长,污染物排放量呈总体上升趋势,而对外贸易比人均GDP对环境的影响更为显著。     

Reducing Brazilian greenhouse gas emissions: scenario simulations of targets and policies

This paper aims to evaluate the economic impacts of greenhouse gas emission reduction on the Brazilian economy. To this end, we developed an integrated input–output linear programming model for 2009 using the Supply and Use Tables and emissions data of the Brazilian Ministry of Science and Technology and Innovation. We simulated emissions targets for various potential scenarios in which the adopted policy design took account of sectoral composition in terms of emissions and available production technology. The results were directly affected by the high level of livestock emissions, counterbalancing this sector’s economic importance for Brazil. In the short term, sectoral emissions targets associated with taxation policy or emission permits could be developed in order to create private incentives to mitigate emissions. In this sense, the results also show that different sectoral targets may be able to balance environmental benefits with the possible economic losses incurred by such policies.     

Green logistics in food distribution – a case study

Environmental impacts, such as Green House gas emissions, have been introduced to supply chain management as an additional parameter to traditional key performance indicators such as cost, lead-time and on-time delivery. This paper analyses a case example from the food industry on how CO₂ emissions are structured in a value chain. The focus of the analysis covers food factory order-picking operations, transportation, warehousing and distribution aspects. The paper aims to demonstrate greening and CO₂ saving potential areas of development for thermo-controlled food logistics. The results show the energy-saving potential of several supply chain processes giving examples of distribution logistic online-temperature controlling possibilities. Greening decisions in supply chain design in the food industry are considered.     

Is the service sector different in size heterogeneity?

We examined whether significant differences in size heterogeneity exist between the service and the manufacturing industries by using PL exponents as the proxy for intra-industry size heterogeneity. For the purpose, we analyzed firm size distribution (FSD) and estimated the PL exponents, on the right tails of FSD, of the service and manufacturing industries in Korea for the period 2008–2012 using the Business Activity Survey dataset created by the Korean National Statistical Office As a result, we observed that the estimates of the PL exponents for the service industry are lower than those for the manufacturing industry (\(\upalpha _\mathrm{Service}<\upalpha _\mathrm{Manufacturing}\)) regardless of size variable, year, and dataset. This relationship may be related to the weaker negative relationship between the size and growth of the service industry, which made the slope of the PL distribution in the right tail of the FSD smoother. This finding implies that size heterogeneity may be more distinctive in the service industry than in the manufacturing industry. In addition, the PL exponents of sales were larger than those of assets and smaller than those of employees (\(\upalpha _\mathrm{Asset}<\upalpha _\mathrm{Sales}<\upalpha _\mathrm{Employee}\)) regardless of industry, year, and dataset. We also observed the PL exponents in the survived-firm dataset to decrease, compared to those in the all-firm dataset.     

Impact of CO2 Emission Variation on Firm Performance

The quantifying and reporting of greenhouse gas emissions is one of the most important tools for monitoring and auditing proposed to mitigate climate change, and it also directly affects business. It is thus vital that at this time we learn in detail whether firms actually report on greenhouse gas emissions and make the account entries that must be included within it. This research is twofold: first to analyse the reports on greenhouse gas emissions of international firms in the 2007 and 2008 period and to see what kind of variation occurs in CO₂ emissions between 2006–2007 and 2007–2008, and second to determine the impact that this variation (2006–2007) can have on firm performance in four time periods (t, t + 1, t + 2 and t + 3) that correspond to 2007, 2008, 2009 and 2010, taking two variables as a measure of firm performance, ROE and ROA, and considering a time period affected by a financial crisis. The results obtained show that there was a reduction in CO₂ emissions in the 2006–2007 period, and also in the 2007–2008 period. As regards the impact that the variation in CO₂ emissions has on ROE and ROA, CO₂ emission variation is a significant but negative variable only for ROA_2007 and for the rest of the years it is not statistically significant either for ROE or ROA. Copyright © 2012 John Wiley & Sons, Ltd and ERP Environment.