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© 2021 Elsevier LtdDespite extensive research to address the impact of environmental reforms under the Paris Climate Agreement, current literature has failed to provide sufficient insights into Regional Comprehensive Economic Partnership (RCEP) countries. To this end, the current study attempts to address the impact of the economic complexity on environmental quality in the presence of renewable energy consumption, financial development, urbanization and energy innovation in RCEP countries from 1990 to 2019. Our empirical estimates confirm a significant association between environmental quality, economic complexity index, renewable energy consumption, financial development, urbanization and energy innovation in the short-run and long run. Based on extensive econometric analysis (CS-ARDL, AMG, PMG, FMOLS, and DOLS), we conclude that economic complexity, renewable energy, and energy innovation effectively mitigate environmental degradation. At the same time, financial development and urbanization have an adverse impact on the environment. These findings have extensive policy implications for policymakers and environmental stakeholders, who are aiming to achieve sustainable energy policy and economic growth to meet the environmental commitments under Paris Climate Agreement.

Abstract The rapid urbanization in the Belt and Road Initiative (BRI) area has aggravated the cross-regional pollution of PM2.5 and aroused concern about the conflicts between urban development and air quality. This study aims to examine the spatial-temporal PM2.5 variations in the BRI region, in which area many countries are undergoing rapid urbanization and the main field of future urbanization, to delineate the driving mechanism of PM2.5 accumulation or dissipation. Previous studies have analyzed the PM2.5 distribution at the national level, providing limited information regarding regional heterogeneity in urbanization and PM2.5 concentrations within each country. Additionally, the regional differences in the driving mechanisms of urbanization factors on PM2.5 concentrations have not been thoroughly investigated within the BRI areas. In this study, remote sensing raster data was combined with geographic grid units to examine variations in urbanization and PM2.5 within the BRI region, identifying “typical regions” where urbanization could enhance PM2.5 accumulation. The main results are as follows: i) The spatial autocorrelation of urbanization and PM2.5 concentrations has gradually strengthened, showing consistent high-value distributions in the North China Plain, Ganges Plain and indicating a synergistic growth among emerging developing regions such as China, India, and the Persian Gulf Coast. ii) The correlation between urbanization and PM2.5 concentrations exhibited a distinct trend of differentiation within the BRI regions. The influence of urbanization on PM2.5 changed from agglomeration to dispersion, forming a “typical region” category composed of ten countries, including China, India, and Morocco. iii) The three main urbanization-related factors for PM2.5 accumulation in the “typical regions” for 2005–2016 were energy pollution emission, economic activities, and human activities. By 2023, the effects of energy pollution and economic activities are expected to converge in some “typical region” countries. Targeted urban strategies and governance actions based on the different driving-types of “typical regions” in BRI have been proposed to coordinate relationship between urban construction and atmospheric environmental protection.

Economic activities are directly supported by the natural environment, and in this context, it has become crucial to analyse the phenomenon of decoupling economic growth from environmental degradation. The negative effects of economic activities on the environment are clearly visible, and understanding how to separate economic growth from environmental harm is of utmost importance. This paper aims to study the degree of the decoupling of economic growth, measured by GDP, from environmental degradation, quantified through CO2 and HFCs emissions, at the level of each EU27 country in the periods 2008–2012 and 2013–2020. In the analysis, graphical representations and statistical tests were utilised. In the first period, most of the EU27 countries registered negative levels for the variables considered, placing them into the negative coupling stage. In the second period, the evolution of the decoupling process was visible in all the countries, enabling them to make a significant transition to the relative or absolute stages. Overall, the Nordic countries could be observed as examples of best practices, managing to achieve the most desired stage of decoupling, i.e., the absolute one. These results are important for a wide range of stakeholders implicated in the preparation of programs, projects and policies dedicated to achieving economic growth in a sustainable manner.

Abstract The tendencies of the development of real estate market could affect the tendencies within the real estate development. The development of the real estate market could be influenced by the variety of factors, depending on the economic system of the country and other factors. The aim of the research is to analyse the tendencies in the Latvian real estate market, by paying particular attention to its influencing factors and sustainable real estate development. The literature review, comparative, historical, statistical analysis, observation and logical access methods have been used in the research. The research provides an interdisciplinary view on the topic. Particular attention is paid to the case of Latvia. The research can be used to promote the importance of sustainability and sustainable development using different forms, mostly economic and environmental ones. Changes within the economic dimension, including changes of real estate market prices, and other significant aspects of real estate development can influence the sustainability of the real estate market in general and may affect the financial results of market participants. Thus, the research can also be useful for real estate developers for a planned, balanced and financially successful entrepreneurship in the changing environment.

There is a lively debate in climate policy about the fastest, least-cost and most effective way of reducing carbon emissions. Mitigation policies are basically demand-driven, since they directly address the reduction in the demand for energy-intensive goods. Conversely, by increasing the share of renewables in the energy mix, energy-efficiency policies turn to the supply side of the economy, regulating the exploration and extraction of fossil fuels, whereby emissions are indirectly reduced. Typically, mitigation involves costs of reducing (CR) emissions that have already been given off, whereas energy efficiency implies costs of controlling (CC) them before release. So, an important policy question arises as to whether and how far combine (synergy) or choose (trade-off) out of different policy options. Although assuming a growing demand for energy, the Paris Agreement (PA) highlights mitigation of emissions directly, by reducing energy intensity, whereas the Green Economy underscores potential savings of natural resources by increasing energy efficiency and hence mitigating emissions indirectly. In 2016, Brazil formally joined the Paris Agreement and became the largest developing country to set an economy-wide emissions target in its Nationally Determined Contributions (NDCs), pledging a 37% reduction (128.5 MtCO2), in 2025, in its emissions with respect to their 2005 levels (347.31 MtCO2). Additionally, the country's Plans for Decadal Energy Expansion (PDE) targeted the share of renewables in its energy matrix up to 48% by 2025. By applying directional derivatives, gradient vectors and an optimization model, the objective of this article is to evaluate whether, how fast and how far these policies can turn the country into a cleaner, greener and low-carbon economy. The results suggest that, regarding emissions mitigation, Brazil's pledges sound too ambitious. Instead, increasing renewable energy rather than directly mitigating emissions yields more economically and environmentally efficient outcomes, thereby favoring a faster and far-reaching transition to a greener economy.

Abstract China has developed a remarkable economic growth in the past 30 years by accompanying with undesirable outputs. The assumptions of weak and strong of undesirable outputs have become the focus discussion in data envelopment analysis (DEA) models. To have a comprehensive environmental efficiency measurement, this paper proposes three DEA models considering weak disposability, strong disposability and distinguishing weak and strong disposability of undesirable outputs, respectively. We further combine with the Malmquist-Luenberger productivity index to assess the environmental efficiency and the dynamic change trend of 30 provinces in China from 2005 to 2014. The results show that distinguishing technical features of undesirable outputs makes a significant difference to final environmental efficiency score at different regions. The environmental efficiency of the whole nation, however, does not show any increasing trend during the ten years. Enhancing environmental efficiency of central and west area is an urgent task for Chinese government. The change trend of Malmquist-Luenberger productivity index and technological change shows a similar shape. Technical progress is the main driving force to enhance the environmental efficiency. Relevant suggestions are presented for improving the regional environmental efficiency in China in the future.

This study investigates the nexus between renewable energy consumption and economic growth in Italy in the 1970-2007 years. The unit root tests results point out that our four variables are integrated of order one. Cointegration analysis reach contradictory results. However, the long-run estimations reveal that, if renewable energy consumption increases by 1%, real GDP decreases by 0.23%. The Toda and Yamamoto approach shows that exists a unidirectional causal flow, running from renewable energy consumption to aggregate income, in line with the "growth hypothesis". Moreover, these results are confirmed by Granger causality tests. While forecasts applications set out that VAR forecasts represent an improvement on simpler forecasts in more than half the comparisons, for each variable. In fact, VAR gives more accurate forecasts, over-performing the mean, RW, and AR methods.

Abstract We collect a household level panel dataset to estimate the price elasticities of electricity demand for different types of urban households in Bangladesh. We use an instrumental variable estimation strategy which exploits exogenous variation in average electricity prices induced by a value-added-tax shock. The results indicate significant heterogeneity in price elasticities by electricity consumption levels. We conduct a number of simulations under alternative policy scenarios to illustrate how incorporating the heterogeneous nature of price elasticities into pricing policy can help decrease electricity demand-supply mismatch and inequality in electricity consumption. The results have important policy implications for developing countries aiming to address major energy issues by implementing tariff reforms.

In Medellin, Colombia, electricity prices follow an unusual system of rising block prices. The stated objective of the policy is to redistribute income. In this paper we calculate the degree of redistribution achieved relative to that of a horizontal price schedule. We also calculate the efficiency cost of discrimination. The data come from a survey of over 1000 residential users of electricity.