The effects of regional trade integration and renewable energy transition on environmental quality: Evidence from South Asian neighbors

Improving environmental quality across South Asia has become one of the utmost important policy agendas of the concerned governments. The susceptibility of the majority of the South Asian countries to multifaceted climate change adversities has motivated the need to identify the factors that can function to ensure environmental sustainability across South Asia. Although several studies have highlighted the importance of globalization and cleaner energy use in tackling the environmental degradaton issues of the South Asian countries, very little is known regarding the impacts of regional trade and renewable energy transition in this regard. Hence, this paper aims to scrutinize the effects of enhancing intra-regional trade integration and undergoing renewable energy transition on per capita carbon dioxide emissions in the context of six South Asian nations between 1990 and 2016. The results from the recently developed cross-sectionally augmented autoregressive distributed lag regression approach, accounting for cross-sectional dependency and slope heterogeneity issues, reveal that facilitating trade among the South Asian neighbors reduces carbon emissions in both the short and long run. Moreover, enhancing the share of renewable energy in the aggregate energy consumption figures is also found to reduce carbon dioxide emissions in both the short and long run. Furthermore, both regional trade integration and renewable energy transition are found to jointly reduce carbon dioxide emissions in South Asia. The results also authenticate the existence of the environmental Kuznets curve hypothesis, while financial development and urbanization are found to boost carbon dioxide emissions only in the long run.     

The role of outsourcing in driving global carbon emissions

Globalisation has narrowed the gap between producers and consumers of goods and services. The linkages between international trade and carbon dioxide (CO₂) emissions have started to be recognised, yet the extent of outsourcing of emissions across nations is unknown. Filling this gap in knowledge is critical for designing effective policy mechanisms for assigning responsibility for reductions in emissions. Here we present a structural decomposition analysis of global trends in outsourcing of emissions from 1990 to 2010 for 186 individual countries. To this end, we disaggregate total CO₂ emissions for each country into contributions from the domestic economy and international trade. This allows us to unveil outsourcing trends for all nations confirming a world-wide shifting of emissions-intensive production across borders. We categorise nations into “outsourcers” – countries that outsource carbon-intensive production to so-called contractor nations. Our detailed assessment of the commodity content of global outsourcing flows reveals interesting insights about the trade of carbon-intensive commodities.     

International trade,pollution, and economic structure: evidence on CO2 emissions for the North and the South

This study investigates the mechanics of international trade and CO₂ emissions in two blocs of countries (‘North’ and ‘South’) by analyzing data from the World Input–Output Database. We adapt the Miyazawa technique to estimate the linkages between international trade and the environment at a global scale. Therefore, this study is in line with the idea of highlighting the role of feedback effects as well as the nature and extent of extra-regional influences on an economy in response to an additional stimulus. This is a contribution that, to our best knowledge, has not yet appeared in the literature. Our results suggest that both the North and the South have become less pollution-intensive (technique effect) over the years. Interestingly and in contrast to much of the literature, we also find support to the hypothesis that the South has specialized in relatively more pollution-intensive activities (composition effect).     

A review of business models for decentralised renewable energy projects

The diffusion of renewable energy technologies has often been suggested as a means to reduce the emission of greenhouse gases, but emphasis tends to be placed on large scale projects. Adoption of renewable energy at the local level provides opportunities for both distributed energy schemes and domestic microgeneration. However, alternative models of ownership, governance and operation are not well developed. Locally managed energy solutions need to respond to varied end users' requirements to ensure that needs are met, so understanding of different types of end users is a prerequisite to the development of robust business models. This paper presents a review of existing models of decentralised energy generation in which actors such as community groups, energy cooperatives, charities and municipalities participate as owners and coproducers. End users can become involved in the design, development and delivery of energy services in a variety of ways. The focus is active user engagement through coconstruction, coproduction and coprovision of energy services. The following categories will be reviewed with reference to current understandings of both sustainable entrepreneurship and social enterprise: (a) energy service companies (ESCos) as commercial actors that undertake management of these projects, (b) energy cooperatives and (c) municipal energy. This analysis is used to reflect on and refine understanding of the relationship between technical, financial and operational constructs in models of decentralised energy generation which can contribute to social and environmental gains.     

Factors driving embodied carbon in international trade: a multiregional input–output gravity model

ABSTRACT

Concerns about the effects and consequences of climate change have notably increased in recent decades. Despite large advances in the understanding of this phenomenon, further research into the determinants of gas emissions is necessary, to shed light on the responsibilities of producers and consumers, and their potential contribution to mitigation strategies. This paper studies the trajectories and determinants of carbon embodied in world trade during a period of 15 years. Our methodology relies on a multiregional input–output model, environmentally extended. Drawing on data from the World Input–Output Database, we estimate embodied emissions in bilateral flows. Then, we assess the determinants of CO₂ emissions embodied in trade, combining input–output modelling with trade gravity panel data analysis. This paper offers a methodological approach that explains and quantifies the underlying factors of carbon trade, integrating the production and consumption perspectives and considering the geographical, structural and institutional context of countries.     

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.     

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.     

The role of mutual funds in the sustainable energy sector

The integration of renewable energy criteria in mutual fund investment decisions could channel private resources into the funding of environmentally related projects implemented by firms contributing to sustainable development. This paper examines the performance of European renewable energy funds that invest globally by comparing their risk‐adjusted returns with those achieved by black energy and conventional mutual funds. It uses Carhart's model on a sample of 81 renewable energy funds, 125 black energy funds, and 4,337 conventional mutual funds. The results indicate that 32.1% of renewable mutual funds—most of which adopt energy producers, renewable energy technology, and energy efficiency‐focused criteria—perform significantly better than the S&P Clean Energy market benchmark, this percentage being affected by the different states of the economy. However, none of them are able to beat the fossil fuel energy (S&P Global 1200 Energy Index) or conventional market benchmarks (S&P Global 1200 Index). Furthermore, 37.04% of renewable energy funds significantly underperform the S&P Global 1200 benchmark. Therefore, the investment in renewable energy funds has a financial cost for investors in relation to conventional fund investors.     

Allowing for uncertainty in exogenous shocks to CGE models: the case of a new renewable energy sector

The paper explores the importance of allowing for uncertainty in the magnitude of exogenous shocks in Computable General Equilibrium (CGE) models. The shock examined is the introduction of a new onshore wind sector in North East Scotland. A simple analytical model is developed to show how, a priori, the size of the new sector (the model shock) is uncertain and asymmetrically distributed as a result of spatial correlation in costs and returns across potential development locations. The importance of allowing for this uncertainty is tested by comparing the results from a CGE model where the sector size is assumed known with certainty to those from a model where the sector size is a random variable with an asymmetric distribution. The results show the extent to which allowing for uncertainty can influence the magnitude of estimated impacts with some variables more sensitive to the uncertainty than others.     

EFFECTS OF SECTOR AGGREGATION ON CO2 MULTIPLIERS IN MULTIREGIONAL INPUT–OUTPUT ANALYSES

The past few years have seen the emergence of several global multiregional input–output (MRIO) databases. Due to the cost and complexity of developing such extensive tables, industry sectors are generally represented at a rather aggregate level. Currently, one of the most important applications of input–output analysis is environmental assessments, for which highly aggregate sectors may not be sufficient to yield accurate results. We experiment with four of the most important global MRIO systems available, analyzing the sensitivity of a set of aggregate CO₂ multipliers to aggregations in the MRIO tables used to calculate them. Across databases, we find (a) significant sensitivity to background system detail and (b) that sub-sectors contained within the same aggregate MRIO sector may exhibit highly different carbon multipliers. We conclude that the additional information provided by the extra sector detail may warrant the additional costs of compilation, due to the heterogeneous nature of economic sectors in terms of their environmental characteristics.     

A NEW SUT CONSOLIDATION METHOD TESTED BY A DECOMPOSITION OF VALUE ADDED AND CO2 EMBODIED IN EU27 EXPORTS

This paper develops a method to consolidate national supply–use tables (SUTs) into a single supra-regional SUT. The method deals with mirror trade statistics problems, such as the different valuation of imports and exports, and it corrects for double-counting re-exports. The method is tested by means of a decomposition of value added and CO₂ emissions embodied in EU27 exports to third countries. When the national SUTs for the period 2000–2007 are used, neglecting intra-European Union spillover and feedback effects results in an underestimation of the embodied value added of 12–15%. Not consolidating the national tables properly leads to a further underestimation of 11–16%. With these underestimations removed, EU27 foreign exports still only explain around 11% of EU27 Gross Domestic Product, whereas they explain 17% of the EU27 CO₂ emissions. Hence, the income benefits of these exports are, in relative terms, considerably smaller than their CO₂ emission cost.     

试论可再生能源技术在绿色建筑中的应用

随着我国建筑行业的不断发展,为了迎合节能、环保需求,绿色建筑开始出现。对于绿色建筑来说,要想体现出环保意识,需要在建筑中添加可再生能源,这样不仅符合当前我国绿色发展的理念,还能减少对环境的污染,可以更好地保护环境。论文针对可再生能源技术在绿色建筑中的应用展开分析。     

ON THE ENVIRONMENTAL IMPACT OF CONSUMER LIFESTYLES – USING A JAPANESE ENVIRONMENTAL INPUT–OUTPUT TABLE AND THE LINEAR EXPENDITURE SYSTEM DEMAND FUNCTION

In this study, we undertake some hypothetical experiments and predict the environmental effects of some changes in consumer behavior, using the Japanese Input–Output Table and the Family Income and Expenditure Survey for 2000. We estimate the demand function in a linear expenditure system (LES) and attempt to determine how changes in consumer behavior affect the environmental load induced by household consumption, using the ‘willingness to pay’ concept. Furthermore, we define an index to show the eco-efficiency of consumer behavior. Through such a study, we can determine what action is appropriate for a ‘sustainable consumption’ society. If some change of consumer behavior greatly improved utility while increasing the environmental load, then technological progress to reduce the environmental load must be stimulated. However, if other changes in consumer behavior increase the environmental load while not improving utility very much, then such changes should be strongly discouraged.     

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.     

The impact of ISO 14001 on firm environmental and economic performance: The moderating role of size and environmental awareness

This paper analyzes the impact of adopting the ISO 14001 standard on firm environmental and economic performance. In particular, it is argued that the degree of environmental awareness of the society (EAS) and firm size are two factors moderating the effect of ISO 14001 on firm performance. A number of hypotheses are formulated and empirically tested on an international sample of 583 listed companies in 46 countries over the period of 2009–2018. The findings show that (i) ISO 14001 adoption contributes to reducing firm carbon emission intensity and increasing firm profitability; (ii) the impact of ISO14001 on profitability is greater for companies from countries with high EAS and for larger firms; and (iii) the impact of ISO 14001 on carbon intensity is greater for headquartered in countries with low EAS. Managerial and policy implications resulting from the widespread adoption of certifiable environmental standards are also discussed.     

LRN 2016 SPECIAL – the antecedents and consequences of reduction within a supply chain collaboration orientation of CO2 emissions: evidence from China

ABSTRACT

This paper explores the impact of a predisposition towards supply chain collaboration (SCC) on the reduction of CO₂ emissions, along with its consequences, within the context of a growing recognition of green collaboration. The study draws upon three theoretical lenses, i.e. natural-resource-based view (NRBV), resource dependence theory (RDT) and institutional theory. It conceptualises a research framework in which the underlying constructs are defined and the hypotheses postulated. The empirical investigation was undertaken in China, resulting in data pertaining to 167 companies compiled from a questionnaire survey and subsequently analysed using structural equation modelling. The research findings reveal a causal relationship between two orientations, i.e. SCC orientation and a firm's CO₂ emission reduction orientation, and SCC-led CO₂ emission reduction and its impact on a firm's performance. The study suggests that, in a ‘low-carbon’ business environment, firms can guarantee the engagement of an SCC-led CO₂ emission reduction initiative towards broad environmental sustainability.     

The impact of research collaboration on academic performance: An empirical analysis for some European countries

The aim of this paper is to investigate the impact of internal and external research collaborations on the scientific performance of academic institutions. The data are derived from the international SCOPUS database. We consider both quantity (the number of publications) and quality indicators (the field-weighted citation impact and the share of publications in the 10% most-cited articles) to evaluate universities' performance in some European countries (Germany, France, Italy, the UK and Russia). To this end, we develop a non-overlapping generations model to evidence the theoretical idea of research externalities between academic institutions. Moreover, we implement an empirical model to determine the extent to which the impact of internal and external collaborations on universities' performance is sensitive to the geographical dimension of the data.     

A Lower Bound for the Centered <Emphasis Type="Italic">L</Emphasis><Subscript>2</Subscript>-Discrepancy on Asymmetric Factorials and its Application

The role of uniformity measured by the centered L ₂-discrepancy (Hickernell 1998a) has been studied in fractional factorial designs. The issue of a lower bound for the centered L ₂-discrepancy is crucial in the construction of uniform designs. Fang and Mukerjee (2000) and Fang et al. (2002, 2003b) derived lower bounds for fractions of two- and three-level factorials. In this paper we report some new lower bounds for the centered L ₂-discrepancy for a set of asymmetric fraction factorials. Using these lower bounds helps to measure uniformity of a given design. In addition, as an application of these lower bounds, we propose a method to construct uniform designs or nearly uniform designs with asymmetric factorials.     

The impact of the European social fund on youth education and employment

The effectiveness of the European Union's Cohesion Policy in reducing regional socio-economic gaps remains an open empirical issue, while evidence as to how the policy is affected by specific territorial factors and which social groups benefit most from it remains sparse. This article seeks to address this gap by disentangling the impact of the European Social Fund (ESF) on youth education and employment prospects. Drawing on macro-level data for the European NUTS-2 regions, we assess the impact that this fund has on different education-specific youth population shares and employment rates. In the case of education, we find that the receipt of funding is associated with a human capital polarization of regional populations. Specifically, we identify a positive impact of the ESF on population shares with lower-secondary and tertiary education, and a simultaneous negative impact on the share of those with upper-secondary education. In the case of employment, we find a positive response for youth of all education levels. A heterogeneity analysis indicates that both the education and employment responses of the youth population to the receipt of the ESF are strongly influenced by local specialization in high-skilled activities.