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The global community has set intensive targets in Sustainable Development Goals (SDGs) to better people’s lives after closing the Millennium Development Goals (MDGs). It corresponds to the 2030 aspirations of the United Nations to enhance and promote the sustainable development of human society. The current paper explores the impact of fiscal hedging and R&D in energy Using a green-energy system in SDGs. To do this, we used TOPSIS and QARDL methodologies on a 21-year dataset of South and Southeast Asian economies from 2000 to 2020. The study results show that fiscal hedging contributes favourably to the environmental degradation of the underlying economy. Research and development (R&D) in renewables has contributed negatively to ecological degradation and SDGs in the economies of South & Southeast Asia. This study suggests policy guidelines for advanced and developing economies based on fiscal stability and technical innovation through R&D to meet SDG.

Abstract China's carbon emissions have been ranking first in the world. This study filled in the gaps in research, decomposed carbon intensity from the perspective of time, space and industry. A decoupling effort model based on factor decomposition models was constructed to analyze the driving factors of carbon emissions and economic decoupling, which builded a foundation for achieving sustainable economic development. Using the Logarithmic Mean Divisia Index method (LMDI), the paper measured the carbon emission intensity of 29 provinces and cities in China from 1998 to 2019, and decomposed the decoupling effect between GDP and carbon emission on the basis of factor decomposition by tapio. The results showed that: (1) Carbon intensity declined first, then rise lightly, and finally declined steadily. For the primary industry and the tertiary industry, the carbon intensity declined steadily, while the carbon intensity increased accordingly to the overall carbon intensity. In terms of spatial evolution, the regional differences between different provinces decreased correspondingly. (2) The cumulative contribution rates of these three effects, i.e., technological progress, industrial structure and regional scale were 106.3299%, −15.1486% and 8.8188%, respectively. There were obvious differences of these cumulative contribution rates of carbon intensity among different provinces. (3) From the perspective of industrial, technological progress effect is the largest contribution for carbon intensity in the secondary industry. The Industrial structure effect mainly affects the primary and tertiary industries; and no significant difference in regional scale effect. (4) The decoupling effect gradually improved, and technological progress has played an absolute leading role in promoting the decoupling effect. Based on the research results, the key policy recommendation are put forward as follows: (1) Further improve the technological level and support clean technology enterprises. (2) Promote industrial upgrading in backward industrial provinces (3) Promote regional assistance and the introduction of high-quality foreign investment.

With rapid progress in the corporate social responsibility (CSR) theories and the up-gradation of the global market information disclosure system, enterprises have increased their attention toward relevant stakeholders and social responsibility. CSR exerts a substantial impact on the sustainable development of enterprises and markets in the economic and social fields. On the one hand, the increasingly perfect supporting facilities promote the financial growth of the entire society. While on the other hand, the profit-seeking trend of capital is also on the rise. The incongruity between the rapid progress of enterprises and the lack of social responsibility limits the benign development of the market. This study discusses the antecedents of CSR from the variable combination perspective using the fuzzy-set qualitative comparative analysis. It also investigates which combination of characteristics has better CSR performance. After the configuration analysis, it is identified that four paths lead to high CSR performance. These include the market-developed type, political link type, financial performance type, and state-owned enterprise subsidy type, and the level of each type is explained in-depth. Finally, this study provides management inspiration for the government and enterprises to formulate a sound social responsibility strategy and improve CSR performance by optimizing the matching of CSR activities and business objectives.

While there is a consensus on the multifaceted advantages of wind farms, only a handful of developing countries harness it to the fullest potential. Among the various factors that contributed to the low development of wind farms in those countries, the dearth of methods for identifying a suitable site is the leading one. Studies conducted elsewhere on wind farm industry identifies criteria such as slope, wind speed, land use/land cover, geology, distance from electric transmission grids, roads, and settlements. However, the relative magnitude of each factor to the optimum location of the wind farm is inadequately examined. This study focuses on the combined use of geographic information systems (GIS) and spatial multi-criteria decision analysis (MCDA) for selecting the most appropriate sites for wind-farm development. Using a pairwise comparison method of the analytical hierarchical process, we computed the relative importance and weight of parameters affecting wind farm sites in a weighted overlay technique. Based on the analysis of pertinent data collected from Bahir Dar City and its surroundings, northwestern Ethiopia, we categorized the study area into five suitability classes ranging from extremely suitable to not suitable. Our result, revealed a spatial pattern of the potential sites suitable for wind farm investments that are economical, environmentally sound, and aesthetically amenable. We recommend replicating the method developed in this study in other areas of developing countries where transitioning to renewable energy sources through windfarm development is sought.

Le présent article pose comme hypothèse principale qu’il existe une spécificité insulaire en matière de changement climatique, tant dans le domaine géopolitique que dans le domaine économique. A la différence des pays continentaux, le changement climatique est un facteur de structuration des États insulaires. Créée en 1990, 2 ans après que le GIEC commence ses travaux, l’Alliance des Petits États insulaires (AOSIS) s’est beaucoup investie dans la ratification du Protocole de Kyoto. Ces derniers se considèrent en effet comme les premières et principales victimes du changement climatique dont le coût pour leurs économies sera nettement plus élevé que celui supporté par les pays continentaux. Aux coûts directs, résultant de l’aléa naturel, notamment la montée du niveau de la mer et l’érosion du littoral qui lui est associée, se surimposeront des coûts induits par les mesures prises au niveau international pour lutter contre le changement climatique. Ces mesures conduisent à remettre la distance géographique au cœur de la logique de localisation des entreprises. La limitation des déplacements aériens et maritimes au long cours qui en résultera devrait entraîner une réduction de la demande mondiale pour les produits et services touristiques insulaires, suivie d’une concurrence exacerbée entre les îles pour attirer cette demande réduite. On assistera alors à la marginalisation des économies insulaires ne pouvant se positionner sur des marchés de niche aux échelles mondiales et régionales avec pour principaux corollaires l’exode rural et la migration internationale. Les recompositions économiques et territoriales qui s’annoncent sont des processus durables qui s’inscrivent dans le temps long. En revanche, le sommet de Copenhague a montré que la structuration politique des États insulaires sur la scène internationale est un processus fragile. L’AOSIS est sortie éclatée de ce sommet. L’avenir des îles est définitivement sous contrainte du changement climatique et il s’annonce bien sombre.

Abstract The ecological footprint is a measure of the resources necessary to produce the goods that an individual or population consumes. It is also used as a measure of sustainability, though evidence suggests that it falls short. The assumptions behind footprint calculations have been extensively criticized; I present here further evidence that it fails to satisfy simple economic principles because the basic assumptions are contradicted by both theory and historical data. Specifically, I argue that the footprint arbitrarily assumes both zero greenhouse gas emissions, which may not be ex ante optimal, and national boundaries, which makes extrapolating from the average ecological footprint problematic. The footprint also cannot take into account intensive production, and so comparisons to biocapacity are erroneous. Using only the assumptions of the footprint then, one could argue that the Earth can sustain greatly increased production, though there are important limitations that the footprint cannot address, such as land degradation. Finally, the lack of correlation between land degradation and the ecological footprint obscures the effects of a larger sustainability problem. Better measures of sustainability would address these issues directly.

In face of increased efforts to mitigate climate change, biofuels may be included in reduction plans forgreenhouse gas emissions. Feedstock for first generation biofuels and food crops both use arable land andmay compete for it. Also, fuel is an input for the production and transport of food. The purpose of thispaper is to quantify with empirical data how these two aspects affect market outcomes and to introduce acounterfactual setting where the latter aspect dominates the former. The setting allows an expansion ofbiofuel production to increase food production by lowering costs of production and transport. Namely,lower costs increase market access, allowing a higher utilization of idle production capacities for foodcrops. For this quantification, I develop an open market, welfare maximizing, partial equilibrium modelfor three interdependent goods fuel, fuel feedstock, and food (these goods are represented by diesel/biodiesel,palm oil, and cassava/maize respectively). The model is calibrated to Zambia, which exhibits the necessaryunderlying conditions of underutilized agricultural capacity, high transport costs, and low exports offood. Compared to a baseline, model results show the counterfactual switch from fossil diesel to biodieselto reduce the diesel price by51%. This increases food supply (cassava and maize combined) by0.4%and decreases related prices by3%. Overall welfare increases by9.9%. If additionally, a higher worldmarket price of maize renders exports just profitable, overall welfare continues to gain9.9%, domesticfood supply rises by0.3%, and related prices drop by2%, but food supply including exports grows by32%. Furthermore, the introduction of a palm oil based biodiesel sector eliminates import dependency onfossil diesel and palm oil.

Gender-specific perceptions and needs are critical to better understanding climate change adaptation capacities of local smallholder communities in Africa and elsewhere. As many rural agricultural practices are heavily impacted by male-centered traditional customs and mores, gender dimensions can determine the level of success for policy interventions. To better understand how and what gender dimensions can be important factors for farmer’s climate change adaptations, this study attempts to examine smallholder farmers’ adaptation needs and perspectives in Ghana’s Upper East Region. A focus group discussion and a questionnaire survey were conducted among 200 smallholder farmers. We found that the female respondents, who mostly belonged to low/middle-income groups, emphasized their urgent need for financial support to improve their income. They needed more farmland as 94% of them had only less than 5 acres to farm. In addition, 91% of the female respondents expressed the importance of being connected to farmers’ mutual-help groups to share information about common farming needs. We also found gender-specific needs for extension services, farm inputs, climate information, mechanization, and infrastructure. Regarding access to resources, the women respondents had little interest in investing more in farming as the land they borrowed could be taken away by male owners. The study recommends the need for gender-specific support initiatives that prioritize social protection and gender equality.