Spatiotemporal pattern and indicators associated with suicide

Objective: to analyze the spatiotemporal pattern and indicators associated with the occurrence of suicide. Methods: ecological study that analyzed the deaths by suicide repor- ted in the Mortality Information System. For temporal and spatial analysis, the Joinpoint and Scan methods were employed, respectively. Multivariate analysis was performed by the Ordinary Least Squares Estimation model, considering p<0.05. Results: significant growth in suicide mortality of 4.2% per year was observed. The highest Bayesian mortality rates ranged from 8.90 to 13.49 deaths per 100,000 population. Five statistically significant spatial clusters were identified (p<0.050). The primary cluster encompassed 64 municipalities, with a suicide risk 1.38 times higher (p<0.001). The indicators associated with suicide were Urbanization rate (β=0.07; p=0.020) and Employment & income (β=-9.40; p=0.030). Conclusion: there was a significant increase in suicide, and five spatial clusters were identified. The indicators Urbanization rate and Employment & income were associated with the grievance.

Identification of Most Significant Parameter of Impact of Climate Change and Urbanization on Operational Efficiency of Hydropower Plant

The operational performance of hydropower plants (HPPs) is largely affected as the output from the plant entirely depends on the rainfall and demand from consumers both of which are compromised due to the vulnerability in climatic patterns and rapid change in urbanization rate. Although, not all the parameters are equally affected and the present study aims to find the degree of impact on the various correlated parameters on which production efficiency of HPPs varies. In this aspect, a neural network concept was used as decision making tool to identify the most significant parameters with respect to change in climate, urbanization along with machine failure because as a combined effect of the first two parameters, the probability of machine failure will also increase. The result from the study provides an opportunity to mitigate the impact that can be caused as a result of climate change impact and change in rate of urbanization. According to the result it was found that Efficiency of Generators is the most significant parameter of impact of climate change and urbanization on operational efficiency of hydropower plant. The result from the scenario analysis suggested that if the A2 scenario becomes true in 2061-70 there will be a maximum decrease in the OE and if land use scenario: PR story line is found to be adopted in the future world of 2020-30 the change in OE will be the greatest (an increase of 6.056%) compared to any other scenario developed for the impact of urbanization followed by land use change scenario of the 2031-40 decade, which will be equal to an increase of 5.247% compared to the baseline.

Economic Basis of Digital Banking Services Produced by FinTech Company in Smart City

The accelerated urbanization rate results in the birth of the Smart City concept, presupposing the more efficient use of digital technologies for the benefit of inhabitants and businesses. The idea of digital banking is one of the key issues in a smart city concept. The research should demonstrate that the efficient and effective way to produce such kind of services is to use the fintech companies’ facilities. Many researchers study fintech from a technological point of view, the contribution of fintech to general banking, the level of satisfaction of customers with fintech products. However, there is a gap in studying the economic basis of these companies. The research aims to determine the economic basis for the projects implemented by the fintech company and to determine the source of the efficiency of these companies in financial operations compared to the conventional bank. It has additional importance since the analysis of research devoted to technological solutions demonstrates a certain lacuna in the economic substantiation of such smart solutions. The results of this study are based on the implementation of traditional Cost-Benefit and Total Cost of Ownership analyses and include the developed cost and income functions, calculated Benefit/Cost ratio, and demonstrated the source of efficiency of fintech company compared to a traditional bank. Therefore, the activities of a fintech company in the area of digital banking received the economic ground, and this fact decreases the gap between intuitive comprehension of the necessity of the introduction of smart solutions in practice and the economic substantiation of this process.

How Does Land Urbanization Promote CO2 Emissions Reduction? Evidence From Chinese Prefectural-Level Cities

The process of land urbanization may result in a great change in land use structure, land use intensity, and efficiency, which could further lead to an increase in carbon dioxide (CO2) emissions. Despite rich literature on the link between urbanization and CO2 emissions, the mechanism through which land urbanization promotes CO2 emissions reductions has not been fully investigated. To address this gap, this study theoretically and empirically explores the mechanism of land urbanization’s influence on CO2 emissions by integrating land use optimization and high-quality industrial development into a unified framework. Firstly, the theoretical mechanism analysis indicates that low-level industrial development and land use management promote the increase of CO2 emissions per unit of land at the extensive land use stage; however, high-quality industrial development and land use optimization lower CO2 emissions per unit of land at the intensive land use stage. Subsequently, a STIRPAT model and a spatial adaptive semi-parametric model are employed to verify the relationship between the land urbanization rate and total CO2 emissions. The results indicate that the land urbanization rate and total CO2 emissions present an inverted U-shaped relationship. In addition, the mediating mechanism of the advanced industrial structure, CO2 emissions per unit of GDP, and CO2 emissions per unit of land, are studied using the mediating effect model. Results indicate that CO2 emissions reduction can be achieved by promoting the advanced industrial structure, reducing CO2 emissions per unit of GDP or reducing CO2 emissions per unit of land. Ultimately, this study showed that the Chinese government may reduce CO2 emissions by promoting land use structure optimization, land use intensity regulation, land use efficiency improvement, and adjusting energy consumption structure, upgrading industrial structure, and promoting emission efficiency technologies.

Long-term Spatiotemporal Trend Analysis of Precipitation and Temperature in Citarum Watershed, Indonesia

Analyzing meteorological variables such as precipitation and temperature can give valuable information regarding past and future climate variability. Citarum Watershed is one of the world’s most threatened watersheds and the most degraded on Indonesia’s Java Island. The Indonesian government regards it as the most strategically important river basin territory because it supplies 80 percent of the surface water supply to Jakarta. This study aims to analyze the precipitation and temperature trend in the Citarum Watershed. This study is preliminary research and intends to provide a better insight into the impacts of climate change on water availability in the tropical region. The detection was carried out with the use of a Mann-Kendall with Sen’s slope. The results indicated that there are significant increasing trends of precipitation during the wet season. Whereas the increasing trend in temperature exhibits for all stations in the basin. The highest increasing trend is in Bandung City, the city with the highest urbanization rate in Indonesia. It is widely acknowledged that rising urbanization will have a considerable impact on the worldwide land warming trend.

Effect of Urban-Rural Income Gap on the Population Peri-Urbanization Rate in China

Attracted by the urban–rural income gap (URIG), a massive agricultural transfer population has flooded into cities and became a peri-urbanized population due to the restrictions of the household registration system. This trend eventually leads to the rising population peri-urbanization rate (PPUR), which is equal to the proportion of urban resident population with rural household registration in the total residents, and seriously affects the development of new-type people-oriented urbanization. The purpose of this study is to investigate the impact of URIG on PPUR at the national and regional levels using the spatial exploration analysis and spatial Durbin model from the perspective of comparative economic interests. Empirical results revealed that PPUR had high spatial agglomeration, as indicated by high values in Eastern China and low values in Central and Western China. Moreover, the PPUR of most provinces in China was rising, dominated by intermediate values. At the national level, URIG promoted the increase of PPUR in the province, but inhibited the increase of PPUR in nearby provinces. Except for household registration, other control variables, such as industrial structure, fixed asset formation rate, infrastructure, medical resources and land-centered urbanization, also contributed to the PPUR in the province. At the regional level, the URIG of Central and Western China contributed to the increase of PPUR, whereas in Eastern China it inhibited the increase of PPUR. The strong correlation of URIG and PPUR calls for relevant policies for narrowing URIG and reducing PPUR.

The Inspiration of European Countries’ Rural Value Orientation to China’s Rural Revitalization

The economy of European countries developed rapidly after the Western Industrial Revolution, and the rural areas of European countries also experienced long-term failure and depression. In the process of urbanization construction, the rural construction also faced many problems. In particular, after the urbanization rate exceeded 50%, European countries took targeted measures to revitalize rural areas in response to many problems in rural development, promoting the development process of urban-rural integration. Especially in Europe in the value orientation in the process of rural construction, there are many worth learning and using for reference of experience, in this paper, the European countries value index selection of rural construction, and implementation of rural construction scheme under this value orientation [1] research summary, draw lessons from the mature experience of the European countries rural construction, combined with China’s national conditions related to rural revitalization of advice are put forward.

Agricultural Productivity and Urbanization: Evidence from Grain and Tobacco Production Efficiency in China

This paperbased on grain production efficiency and tobacco production efficiency studies the impact of agricultural productivity on urbanization in open economy. Theoretically, a theoretical model allowing biased technological progress is constructed. The research finds that when technological progress is labor-saving technological progress, the improvement of agricultural productivity can significantly improve the level of urbanization. Empirically, using The Panel data of Chinese cities from 2000 to 2014, the empirical study finds that The improvement of grain production efficiency and the improvement of tobacco as a cash crop production efficiency will significantly improve the urbanization rate, and each standard deviation increase of agricultural productivity will increase the urbanization rate by about 4-9.6 percentage points, or about 12-30%. The above findings are robust and hold even after using instrumental variables and introducing more control variables. The research of this paper shows that the improvement of staple grain production efficiency and cash crop production efficiency can effectively improve the level of urbanization in China. Under the new normal of the economy, implementing the rural revitalization strategy and continuing to improve the efficiency of agricultural production is conducive to further improving the urbanization rate and boosting high-quality economic development.

Understanding Public Attention towards the Beautiful Village Initiative in China and Exploring the Influencing Factors: An Empirical Analysis Based on the Baidu Index

The implementation of China’s Beautiful Village Initiative was an extraordinary achievement and aroused extensive public attention. However, existing research mostly focuses on the construction and seldom on public attention towards the Beautiful Village Initiative. For this reason, this paper investigated the spatiotemporal characteristics of public attention based on the Baidu index using time-constrained clustering and the spatial autocorrelation test. Our results showed that the evolutionary process can be divided into three stages: very little national attention (2011–2012), injection of a strong impetus (2013–2015), and rooted in the people’s minds (2016–2020). Spatially, provincial public attention demonstrated obvious spatial differentiation and stable spatial autocorrelation, with Low–Low clusters in Northwest China and High–High Clusters in East, Central, and North China. Spatial econometric models were further utilized to quantify the effects of socioeconomic factors on public attention. The results of the SEM model proved the existence of spatial spillover effects and indicated that the urbanization rate, population density, education level, and network popularity rate all positively affected public attention. The relationship between Beautiful Village construction and public attention was uncoordinated and, in most provinces, advances in public attention were ahead of the construction level. Our findings contribute to the understanding of public attention towards the Beautiful Village Initiative, and policy suggestions we proposed would be applied to increasing public awareness and participation.

An Empirical Study on the Relationship Between Energy Consumption and GDP in China

Based on the provincial panel data of China from 1990 to 2018, this paper establishes a simultaneous equation model containing exogenous variables such as capital stock, urbanization and trade liberalization to explore the causal relationship between energy consumption and economic growth. The study found that China’s GDP and energy consumption influence each other, which is manifested as an endogenous causal relationship in the economic system. When the economic aggregate increases, the demand for energy has risen sharply. However, due to the low energy use efficiency production mode and environmental destruction and pollution, energy consumption shows a negative scale effect that restricts economic growth. China’s economic growth is manifested in diminishing returns to scale, and the urbanization rate and trade openness have a significant impact on energy consumption.