Renewable and non-renewable energy consumption,environmental degradation and economic growth in Tunisia

The aim of this document is to investigate the dynamic relationship between economic growth, renewable energy consumption, energy consumption and CO₂ emissions in Tunisia over the period 1990–2015. Unit root tests and co-integration test was used in order to detect the order of stationary and to test the existence long run links between the used variables. We apply the Granger causality test and VECM model to discover the short and long run links between the variables. Results have shown a bidirectional causal relationship between energy use and CO₂ emissions. Economic growth affects CO₂ emission in the short and long run. While there is a unidirectional links running from energy use to economic growth at short run. The paper shares best practices from Tunisia in terms of efficient use of renewable energy policy enablers, which may be contextualized in other emerging economies in order to keep sustainability and to achieve the green economy.     

Effects of Household Consumption Patterns on CO2 Requirements

In order to evaluate the relation between the consumption pattern of various household types and their CO₂ requirements, we combine input-output tables energy flow matrices, CO₂ emissions factors, and national consumer survey statistics into an integrated modelling framework, and relate differences in household types to differences in private consumption and again to differences in CO₂ emissions. We identify household characteristics with a significant influence on CO₂ emissions. Comparing our results with those of other studies reveals that national differences in climate and population density cause differences in the contribution to CO₂ emissions. Finally, national differences in income and expenditure elasticities of both energy and CO₂ are due to differences in the disparity in CO₂ intensities amongst commodities and to the model's assumptions on foreign technology.     

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.     

Trade Liberalization and Pollution: An Input–Output Study of Carbon Dioxide Emissions in Mexico

This paper examines the environmental effects associated with Mexico's participation in the North American Free Trade Agreement (NAFTA). The objective is to provide quantitative estimates of carbon dioxide (CO₂) emissions from changes in the level and structure of production and consumption activity in Mexico following a liberalization of trade. The quantitative analysis was performed using input–output methods with fuel use modifications to account for CO₂ emissions before and after NAFTA's implementation. As a result of NAFTA, CO₂ emissions are expected to increase from the anticipated increase in the size of the Mexican economy. While total emissions increase as a result of tariff elimination, there is also a shift in the structure of production and final consumption away from those sectors that are the most C02 intensive.     

Evaluation on development efficiency of low-carbon tourism economy: A case study of Hubei Province,China

Tourism is one of the emissions sources of CO₂ and tourism activities can impose pressure on the ecological environment. The study constructed an evaluation framework of the direct and indirect CO₂ emissions from tourism industry, and included the CO₂ emission factor in the efficiency evaluation framework based on SBM-Undesirable model, on the basis of which, the study assessed the CO₂ emissions from the tourism industry, taking the cities of Hubei province in China as case studies, and then measured and analyzed the development efficiency of low-carbon tourism economy in the cities and its dynamic fluctuations in the cities from 2007 to 2013. The results show that the total carbon dioxide emissions from tourism in Hubei soared from 6,340,302 tons in year 2007 to 23,939,851 tons in year 2013, with the transportation being the biggest contributor accounting for 50.35% of the total emissions, followed by the food, accommodation, shopping, other services, entertainment, post & telecommunications. While the direct CO₂ emission far exceeds that of the indirect in the transportation, the opposite is true in other secondary sectors. Results of efficiency measurement indicate the overall efficiency of low-carbon tourism economy is on a rather low level and varies significantly among the cities, and there are untapped potentials with internal productive factors in the economic system of urban tourism. From the perspective of dynamic shifts, however, the overall efficiency within the analyzed period was on an upward trend, driven primarily by the technological advancements induced by the scale factor, whereas the purely technological efficiency changes undermined the growth of productivity. Finally, the calculation results of slack variables in inputs and outputs based on the efficiency evaluation framework achieved in this study will provide reference for development efficiency modification of low-carbon tourism economy in inefficient cities.     

The emission cost of international sourcing: using structural decomposition analysis to calculate the contribution of international sourcing to CO2-emission growth

The effect of changes in trade patterns, particularly increasing international sourcing, on global CO₂-emissions growth has yet to be clearly understood. In this paper, we estimate the emission cost of sourcing (ECS), which originates from replacing domestic products by imports from countries with more CO₂-intensive technologies. Using a structural decomposition analysis, we find that changes in sourcing patterns between 1995 and 2007 contribute (1) to reducing territorial emissions in high-wage countries (70% of their territorial emissions growth) and (2) to increasing territorial emissions in low-wage countries (30% of their territorial emissions increase). The net global effect, the ECS, amounts to 18% of total global CO₂-emissions growth. Our results call the climate change policies based on territorial principles into question given that they disregard that differences in emission intensities between countries contribute to raising global emissions. In contrast, policies fostering the transfer of cleaner technologies to low-wage countries decrease the ECS.     

Regional energy efficiency and its determinants in China during 2001–2010: a slacks-based measure and spatial econometric analysis

Carbon dioxide (CO₂) emissions are largely driven by fossil fuels. To reduce CO₂ emissions in China, it is important to determine influential factors of energy efficiency. This paper introduces a slacks-based measure window analysis approach to evaluate regional dynamic energy efficiency during 2001–2010, and then explores energy efficiency determinants by considering spatial effects, which is conducted based on spatial econometric models. The empirical results show that there exist evident spatial correlations between regional energy efficiencies in China. We find that, there exist evident disparities in cumulative effects of energy efficiency among the eastern, central and western areas. Interestingly, significant energy efficiency spatial spillovers can be clearly found between regions within the western area and across the eastern and western areas. It is found that, energy structure, energy price, railway transportation development and R&D stock are significant at national level. However, energy structure and railway transportation development are insignificant in the central and western areas, while energy price and R&D stock are insignificant in the eastern and central areas, respectively. Industrial structure and urbanization level are found to be insignificant at national level, but industrial structure is significant in the eastern and western areas, and urbanization level is significant in the central and western areas. Surprisingly, industrial structure and urbanization level are found to have positive impacts on energy efficiency in the western area. In addition to regional disparities and local conditions, policies making should take efficiency spatial spillovers into consideration. Several interesting policy implications are achieved.     

方法、数据与全要素生产率测算差异

研究目标：检验不同方法之间TFP测算结果的“一致性”和“稳健性”,探讨测算方法和数据选取问题。研究方法：以中国2004~2012年总量分行业面板数据为例,从多个角度比较TFP测算结果,以及通过统计检验选取适用测算方法。研究发现：第一,研究的问题不同,测算方法之间“一致性”的检验结论不同;第二,在选择测算方法时,进行相关统计量检验是必要的,这有助于鉴别模型设定是否合理,缩小可选模型范围;第三,测算方法的选择,要符合数据本身的特征,基于宏观分行业面板数据,DEA是更为适用的TFP测算方法,而劳动力投入应选取全社会从业人员指标。研究创新：多种测算方法和统计检验的应用。研究价值：本文尝试构建如何选择TFP测算方法的一般框架。     

The linkages among energy consumption,economic growth,relative price,foreign direct investment,and financial development in Malaysia

The aim of this study is to analyse the causal relationship among energy consumption, economic growth, relative price, financial development (FD) and foreign direct investment in Malaysia using a multivariate framework. This study covers a sample from 1972 to 2009. Both the Johansen–Juselius cointegration test and bounds testing approach to cointegration consistently suggest that the variables are cointegrated. We find that energy consumption and economic growth Granger causes each other in the short and long run. In addition, both FDI-led growth and finance-led growth hypotheses are also supported by the findings from this study. Ultimately, energy is a prominent resource for financial sector development in Malaysia because we find that energy consumption Granger causes FD. Policymakers should implement a dual strategy that, on one hand, increases investment in energy infrastructure to ensure that the supply of energy is sufficient for the financial sector and economic development, while, on the other, encourages R&D in green technology such as exercising proper soil conservation techniques and sustainable farming practices in order to reduce the consumption of fossil fuels. By doing so, environmental problems such as carbon dioxide emissions can be minimised without affecting economic growth and financial sector development in Malaysia.     

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.     

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.     

Changes in China’s production-source CO2 emissions: insights from structural decomposition analysis and linkage analysis

This paper presents an input–output based methodology – structural decomposition analysis (SDA) plus linkage analysis, for identifying the key factors and sectors that affected production-source CO₂ emissions in China. The proposed methodology extends the SDA to account for the import substitution effect within an open economy such as China and incorporates the emission linkage by which the effect of the input mix on CO₂ emissions can be understood in depth. Empirical results indicate that, between 2005 and 2010, improving emission intensity and input intensity had helped to reduce CO₂ emissions; meanwhile, capital investment explained the majority of the increases in CO₂ emissions brought about by final demand, and import substitution was also observed to increase CO₂ emissions. Moreover, nine key emission sectors have been identified, and in this regard, domestic inputs became more CO₂-intensive in 2010 than it was in 2005.     

辽宁电力能源消费与经济增长的实证分析

随着社会经济快速发展和人口迅猛增长,各国的经济增长均面临不同程度的能源瓶颈约束,文章基于Granger因果检验、协整分析等计量模型和方法,分析了辽宁省电力能源消费与经济增长之间的内在联系,通过分析得出如下结论:辽宁省电力消费与经济增长之间存在长期协整关系,电力能源消费引起生产总值GDP的变化,是经济增长的单向Granger因果关系。最后针对辽宁省就如何加快电力能源结构调整,推动能源产业转型升级,促进电力与经济协调发展方面提出了具体对策建议。     

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.     

CALCULATING ENERGY-RELATED CO2 EMISSIONS EMBODIED IN INTERNATIONAL TRADE USING A GLOBAL INPUT–OUTPUT MODEL

The Global Resource Accounting Model (GRAM) is an environmentally-extended multi-regional input–output model, covering 48 sectors in 53 countries and two regions. Next to CO₂ emissions, GRAM also includes different resource categories. Using GRAM, we are able to estimate the amount of carbon emissions embodied in international trade for each year between 1995 and 2005. These results include all origins and destinations of emissions, so that emissions can be allocated to countries consuming the products that embody these emissions. Net-CO₂ imports of OECD countries increased by 80% between 1995 and 2005. These findings become particularly relevant, as the externalisation of environmental burden through international trade might be an effective strategy for industrialised countries to maintain high environmental quality within their own borders, while externalising the negative environmental consequences of their consumption processes to other parts of the world. This paper focuses on the methodological aspects and data requirements of the model, and shows results for selected countries and aggregated regions.     

Individual new energy consumption and economic growth in China

We document the one-way relationship between individual new energy consumption and economic growth in China through the autoregressive distributed lag (ARDL) model from 2004 to 2017. Our results show that individual new energy consumption has a positive effect on economic growth. Moreover, the urbanization rate, import and export trade volume and foreign direct investment all affect the individual new energy consumption in the short run. The outcome of the causality test reveals a one-way Granger causal relationship from individual new energy consumption to economic growth, from the urbanization rate, and from the import and export trade volume to new energy consumption.     

Optimizing regional allocation of CO2 emissions considering output under overall efficiency

Reduction of CO₂ emissions is a strategic priority for the construction industry, however current schemes do not provide the level of performance that is required. There is also a lack of understanding of how to allocate CO₂ emissions targets within regions. Therefore, this research study develops a three-stage empirical system to identify the CO₂ emissions allocation scheme for the Chinese construction industry at the provincial level. The results indicate that (a) the construction industry's CO₂ emissions need to be reduced by ca. 10% from the base level in 2017; (b) 86.7% of the provinces have a relatively large capacity for CO₂ emissions reduction; (c) China's East region accounts for 44.0% of the total amount for CO₂ emissions reduction; and (d) about one-third of the provinces face enormous pressure to reduce CO₂ emissions by more than 10% on the base of 2017. This research study provides unique insights and guidance to support assessment of the regional allocation of CO₂ emissions for the construction industry, which is a valuable reference for other countries and industries.     

Energy and CO2 emission relationships in the NAFTA trading bloc: a multi-regional multi-factor energy input–output approach

The North-America Free Trade Agreement (NAFTA) has brought together the economies of Canada, Mexico, and the US into forming one of the largest trading blocs worldwide (within the top CO₂ emitters). However, the current global protectionist discourse threatens the agreement. This paper analyzes the energy and energy-related CO₂ emission relationships between NAFTA countries in 2014 to gain insights into the climate change implications of current integration and the possible cancelation of the agreement. The analysis is performed with a multi-regional version of the multi-factor energy input–output model. The results show that NAFTA has not built a single integrated energy system, though it has helped reduce energy-related CO₂ emissions. Moreover, if NAFTA is not revoked, further integration would depend on the capacity of the Mexican energy sector to converge to the performance of its trade partners’ energy sectors. Conversely, a broken deal would induce negative environmental externalities.     

Carbon taxes and the double dividend hypothesis in a recursive-dynamic CGE model for Spain

A carbon tax is potentially a policy that can reduce CO₂ emissions and mitigate climate risks, at lowest economy-wide costs. We develop a dynamic CGE model for Spain to assess the economic and environmental effects of a carbon tax, and test the double dividend (DD) hypothesis. We simulate the impact of three carbon taxes: €10, €20 and €30 per ton of CO₂. For each tax, four ‘revenue recycling’ scenarios are examined: a reduction of taxes on capital, on labor, on value-added tax, and a scenario in which revenues are not recycled. We find a DD for taxes of €10/ton and lower, within five to seven years of implementation. We estimate an annual CO₂ emissions reduction of around 10% with this tax. Under some circumstances, the DD can be achieved for a tax of €20/ton. In any case, recycling revenues to cut pre-existing taxes reduces costs of imposing carbon taxes.     

Mitigating climate change – how do corporate strategies differ?

Many companies are facing increasing pressure by governments, shareholders and other stakeholders to reduce their CO₂ emissions in order to mitigate climate change. The importance of managing CO₂ emissions and crafting adequate CO₂ strategies has increased for those companies affected. We present a framework that conceptualizes a company's CO₂ strategy as the focus on one or a combination of several strategic objectives: CO₂ compensation, CO₂ reduction and carbon independence. In order to investigate the CO₂ strategies of a worldwide sample of 91 electricity producers we perform a content analysis of their answers to the Carbon Disclosure Project (CDP). We demonstrate the measures the companies take to manage their emissions, the CO₂ strategies they adopt and antecedents that influence these strategies. We find that half of the companies take parallel emission management measures that aim at all three strategic objectives, while the other half pursue selected objectives only. We also find that companies with different CO₂ strategies significantly differ in terms of regional affiliation, company size and absolute amount of CO₂ emissions, while we could not identify a significant difference in relative CO₂ emissions. Copyright © 2008 John Wiley & Sons, Ltd and ERP Environment.