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Household leverage ratio is an important factor affecting family stability. Digital finance has changed the means of payment and consumption frequency, but the relationship between digital finance and household leverage ratio is still unclear. The existence of household debt is defined as the existence of leverage. The higher the household debt, the greater the household leverage. Based on the matching data of the China Household Finance Survey (CHFS) 2019 and the China Digital Inclusive Finance Index, this paper studies the impact of digital finance on household leverage ratio and explores its mechanism theoretically and empirically. This research finds that digital finance can significantly promote the household leverage ratio and this conclusion is still valid after instrumental variable method and robustness test. The mechanism analysis shows that digital finance can promote household over-consumption and further expand household leverage ratio. Digital finance can also reduce household leverage ratio by increasing household income. The heterogeneity analysis suggests that the role of digital finance in expanding leverage ratio is stronger for urban areas and households with low educational level. For households with higher assets, digital finance helps to reduce leverage ratio. Therefore, the government should guide residents to consume rationally and give full play to the entrepreneurship-facilitating and income-increasing effect of digital finance. Meanwhile, the residents themselves should speed up the cultivation of digital financial literacy, which is of vital significance for lowering household leverage ratio and systemic financial risks. China’s development level of digital finance ranks among the top in the world. Studying the role of digital finance in China is helpful to provide experience reference for countries around the world.

Resilience is receiving increasing scientific attention, albeit its notion is still in progress and not univocal, especially when it comes to specific sectors such as energy. Energy and resilience policy is detected as a dominant strategy to achieve international development objectives throughout long-term sustainability and wellbeing goals. Energy resilience also crosses major energy policy issues – namely energy vulnerability, security, poverty, and justice. Making use of the Web Of Science 2018 release, this work aims at contributing to a clarification of the concept of energy resilience, proposing a taxonomy. The bibliometric outputs show a sharp increase in scientific publications on the issue. The bibliometric analysis suggests a taxonomy of energy resilience based on 7 approaches or strategies. The results suggest an evolution of the conceptual contributions, that enlarge resilience early use, merely applied to technical and hard sciences. Resilience is today used in different disciplines, including social sciences and sustainability studies, as part of a holistic approach centered on sustainable development.

La contaminación ambiental se ha convertido en motivo de preocupación en todo el mundo con el aumento de la urbanización, el transporte, la industrialización y varios otros factores. Por lo tanto, el investigador ha diseñado este estudio para investigar el impacto de la urbanización, el gasto en I + D en investigación y desarrollo, el desarrollo de infraestructuras y los ingresos reales en la emisión de dióxido de carbono en los países asiáticos. El proceso de recopilación de datos involucró a seis países asiáticos desde 1997 hasta finales de 2019. Las herramientas y técnicas de estimación y análisis de datos del panel se aplicaron en el datos recopilados y se obtuvieron los resultados. Los resultados de la estimación de regresión sugieren que, según el estimador MG, todas las variables tienen un impacto significativo y positivo en las emisiones de CO 2, pero el desarrollo de la infraestructura tiene un impacto insignificante. En el caso de FMOLS, nuevamente todas las variables tienen un impacto significativo y positivo en las emisiones de CO 2, pero el desarrollo de la infraestructura tiene un impacto insignificante. Sin embargo, en el caso de DOLS, todas las variables han mostrado un impacto significativo en las emisiones de CO 2. En el último, el estimador DK indica que la urbanización, el ingreso real y la densidad de población tienen un impacto significativo y positivo en las emisiones de CO 2 pero el gasto en I + D y el desarrollo de infraestructuras tienen un impacto insignificante. De esta manera, se estimaron los impactos de todas las variables independientes y de control sobre las emisiones de CO 2. La pollution de l'environnement est devenue un sujet de préoccupation dans le monde entier avec l'augmentation de l'urbanisation, des transports, de l'industrialisation et de plusieurs autres facteurs.Le chercheur a donc conçu cette étude pour étudier l'impact de l'urbanisation, des dépenses de recherche et développement, du développement des infrastructures et des revenus réels sur les émissions de dioxyde de carbone dans les pays asiatiques.Le processus de collecte de données a impliqué six pays asiatiques de 1997 à fin 2019.Les outils et techniques d'estimation et d'analyse des données du panel ont été appliqués sur le les données collectées et les résultats ont été obtenus.Les résultats de l'estimation de la régression suggèrent que, selon l'estimateur MG, toutes les variables ont un impact significatif et positif sur les émissions de CO 2, mais le développement de l'infrastructure a un impact insignifiant.Dans le cas de la FMOLS, encore une fois, toutes les variables ont un impact significatif et positif sur les émissions de CO 2, mais le développement de l'infrastructure a un impact insignifiant.Toutefois, dans le cas de la DOLS, toutes les variables ont montré un impact significatif sur les émissions de CO 2.Dans le dernier, l'estimateur DK indique que l'urbanisation, le revenu réel et la densité de population ont un impact significatif et positif sur les émissions de CO 2 mais les dépenses de R&D et le développement des infrastructures ont un impact insignifiant. De cette façon, les impacts de toutes les variables indépendantes et de contrôle sur les émissions de CO 2 ont été estimés. Environmental pollution has become the matter of concern all over the world with the increase in urbanization, transport, industrialization and several other factors.The researcher has therefore designed this study to investigate the impact of urbanization, research and development R&D expenditure, infrastructure development and real income on the emission of carbon dioxide in Asian countries.The data collection process involved six Asian countries from 1997 and ending 2019.The panel data estimation and analysis tools and techniques were applied on the collected data and the results were obtained.The results of regression estimation suggest that as per MG estimator, all the variables have significant and positive impact on CO 2 emission but infrastructure development has insignificant impact.In case of FMOLS, again all the variables have significant and positive impact on CO 2 emission but infrastructure development has insignificant impact.However, in case of DOLS, all the variables have shown significant impact on CO 2 emission.In the last, DK estimator indicates that urbanization, real income and population density have significant and positive impact on CO 2 emission but R&D expenditure and infrastructure development has insignificant impact.In this way, the impacts of all independent and control variables on CO 2 emission were estimated. أصبح التلوث البيئي مصدر قلق في جميع أنحاء العالم مع زيادة التحضر والنقل والتصنيع والعديد من العوامل الأخرى. لذلك صمم الباحث هذه الدراسة للتحقيق في تأثير التحضر والبحث والتطوير والإنفاق على البحث والتطوير وتطوير البنية التحتية والدخل الحقيقي على انبعاثات ثاني أكسيد الكربون في البلدان الآسيوية. وشملت عملية جمع البيانات ستة بلدان آسيوية من عام 1997 وحتى نهاية عام 2019. تم تطبيق أدوات وتقنيات تقدير وتحليل بيانات اللوحة على تم الحصول على البيانات التي تم جمعها والنتائج. تشير نتائج تقدير الانحدار إلى أنه وفقًا لتقدير MG، فإن جميع المتغيرات لها تأثير كبير وإيجابي على انبعاثات ثاني أكسيد الكربون ولكن تطوير البنية التحتية له تأثير ضئيل. في حالة FMOLS، مرة أخرى جميع المتغيرات لها تأثير كبير وإيجابي على انبعاثات ثاني أكسيد الكربون ولكن تطوير البنية التحتية له تأثير ضئيل. ومع ذلك، في حالة DOLS، أظهرت جميع المتغيرات تأثيرًا كبيرًا على انبعاثات ثاني أكسيد الكربون. في الأخير، يشير مقدر DK إلى أن التحضر والدخل الحقيقي والكثافة السكانية لها تأثير كبير وإيجابي على انبعاثات ثاني أكسيد الكربون لكن الإنفاق على البحث والتطوير وتطوير البنية التحتية له تأثير ضئيل. وبهذه الطريقة، تم تقدير تأثيرات جميع المتغيرات المستقلة والتحكم على انبعاثات ثاني أكسيد الكربون.

The association between resource rents and economic growth is one of the key issues that have attracted the attention of both policymakers and scholars. Several attempts have been made regarding the association, yet the literature holds the gap. The present research intends to explore the connection between natural resource volatility and economic performance in seven (G-7) countries. For the time frame from1990 to 2020, this study also examines the role of technological innovation (TI), human capital (HCI), and research and development budget for renewable energy (RER&D). Empirical results asserted that the variables under study are cointegrated. Employing a novel non-parametric panel quantile method of moments regression and quantile-on-quantile, the outcomes propose that natural resources volatility significantly affects EP throughout the quantiles. This negative impact is valid for the aggregate panel of countries and cross-sections. Natural resource volatility supports the resource curse hypothesis for G7 economies. On the other hand, HCI and TI are significant economic performance factors. From lower to higher quantiles, the magnitude and significance levels increase. The variable for cleaner energy investment is also positively related to economic performance yet insignificant in the higher quantile. The study recommends channeling natural resource rents to effectively and fully transfer the full potential of natural resources to other real sectors of the economy to fully utilize the benefit from it.

Green economic development is a worldwide concern. This paper not only contributes to the advancement of studies pertaining to green development but also offers policy recommendations for China to achieve a green and low-carbon economic transformation from the perspective of outward foreign direct investment (OFDI) and industrial structure. A mechanism for the effects of OFDI and industrial structure upgrading on green total factor productivity (GTFP) is proposed in this study. Based on measurement and analysis of the evolution characteristics of GTFP and industrial structure level of 30 provinces (municipalities and autonomous regions) in China from 2004 to 2019, the spatial Durbin model is applied to test their spatial effects. The findings demonstrate that (1) the overall trend of China’s GTFP and industrial structure level is upward, with obvious regional non-equilibrium and spatial dependence; (2) both OFDI and industrial structure upgrading can promote green development independently, with the spatial spillover effect of Industrial structure advancement being more evident; (3) the synergistic effect between OFDI and industrial structure advancement is greater than that between OFDI and industrial structure rationalization, and the spatial spillover effect on regions with comparable economic development is greater than that of surrounding regions; (4) in view of the different levels of openness between regions, the independent and synergistic effects in coastal regions and non-coastal regions are heterogeneous. Therefore, China should optimize OFDI, promote the efficiency of resource allocation, maximize the technology spillover, and strengthen interregional cooperation in order to transform towards a green economy.

A number of new rural management models have emerged to solve the problems of economic backwardness, insufficient resource utilization, and technical shortages in rural areas in the context of poverty alleviation to the rural revitalization strategy in China. However, the influence of new rural management model under all countermeasures for rural sustainable development with a comprehensive perspective is lacking. Therefore, exploring whether the new rural management model meets the requirements of sustainable development is an urgent issue. From the theory of system metabolism and emergy accounting method, this study classified the government funds for poverty alleviation measures as import resources, and analyzed the metabolic structure, efficiency, and the rural development factors of Chehe Village before and after poverty alleviation measures are carried out (the year of 2012 and 2019) to verify whether the new model was sustainable. According to the results of this study, the new management model of Chehe Village declined the rural system sustainability with the emergy sustainability index decreasing from 1.96 in 2012 to 0.32 in 2019. With the development of economy, the system metabolic efficiency of Chehe Village promoted and the metabolic structure became more reasonable manifesting in the decline of emergy use per unit GDP and the increase of emergy exchange rate. Moreover, production and livelihood had been highly valued in Chehe Village. In conclusion, it is feasible to add countermeasures of poverty alleviation and rural revitalization into the village system metabolism. The new management model of Chehe Village needs to change exogenous force into endogenous force to meet the requirements of rural sustainable development.

Today, the global food security is one of the most pressing issues for humanity, and, according to Food and Agriculture Organisation (FAO), the increasing demand for food is likely to grow by 70% until 2050. In this current condition and future scenario, the agricultural production is a critical factor for global food security and for facing the food security challenge, with specific reference to many African countries, where a large quantities of rice are imported from other continents. According to FAO, to face the Africa’s inability to reach self-sufficiency in rice, it is urgent “to redress to stem the trend of over-reliance on imports and to satisfy the increasing demand for rice in areas where the potential of local production resources is exploited at very low levels” The present study was undertaken to design a new method for land evaluation based on soil quality indicators and remote sensing data, to assess and map soil suitability for rice crop. Results from the investigations, performed in some areas in the northern part of the Nile Delta, were compared with the most common approaches, two parametric (the square root, Storie methods) and two qualitative (ALES and MicrioLEIS) methods. From the qualitative point of view, the results showed that: (i) all the models provided partly similar outputs related to the soil quality assessments, so that the distinction using the crop productivity played an important role, and (ii) outputs from the soil suitability models were consistent with both the satellite Sentinel-2 Normalize Difference Vegetation Indices (NDVI) during the crop growth and the yield production. From the quantitative point of view, the comparison of the results from the diverse approaches well fit each other, and the model, herein proposed, provided the highest performance. As a whole, a significant increasing in R2 values was provided by the model herein proposed, with R2 equal to 0.92, followed by MicroLES, Storie, ALES and Root as R2 with value equal to 0.87, 0.86, 0.84 and 0.84, respectively, with increasing percentage in R2 equal to 5%, 6% and 8%, respectively. Furthermore, the proposed model illustrated that around (i) 44.44% of the total soils of the study area are highly suitable, (ii) 44% are moderately suitable, and (iii) approximately 11.56% are unsuitable for rice due to their adverse physical and chemical soil properties. The approach herein presented can be promptly re-applied in arid region and the quantitative results obtained can be used by decision makers and regional governments.

Abstract The steady and maintainable energy supply for human development provides the strong motivation, which is necessary to every country in the whole world. The high strength carbon emissions has brought great harm to the earth since industrialization before hundreds of years, and the global warming and extreme weather cause humans to develop low-carbon economy. Low-carbon economy has become a consensus of the entire human race no matter developed countries or developing countries, which is the combination of the lifestyle changing and production structure basic changing and technical innovation. It is well known that China is the largest developing country in the world. With the rapid industrialization of country, energy demand of Chinese society is increasing in an incredible speed, China has become the second largest energy consumer and the first carbon emissions country at present. Furthermore, Chinese energy structure and production methods are very inappropriate, which cannot guarantee the sustainable development of China in future, and therefore actively developing low-carbon economy is the only road to realize China's economic development mode change and sustainable development, which is supported by central government and local governments. Low carbon economy for China is not only an opportunity but also a great challenge. Firstly, this paper discusses the current situation of energy supply and energy structure in China. Secondly, current situation of units’ energy consumption in China is discussed. Thirdly, some application practices of low carbon are described, such as low carbon traffic, low carbon city, and low carbon village. Then, the policies and law of China central government and local governments are described in the following paragraphs. At the end, the developmental prospect of low carbon economy in future China and the development barriers and recommendations are introduced, respectively.