Foreign Direct Investment and Poverty in Mexico

In this chapter, the authors want to analyze the regional imbalance of foreign direct investment (FDI) in Mexico and its relation with poverty levels for the 32 states that make up the country. The period studied covers from 1994 to 2020, taking as a temporary starting point the entry into force of the North American Free Trade Agreement (NAFTA); from the beginning of the 1980s until the beginning of the 1990s, FDI in Mexico maintained a tenuous growth, and from 1994, there was a considerable increase. Currently, developing countries, including Mexico, have positioned themselves as receiving entities of large flows of FDI. The research is based on an econometric scrutiny under the panel data methodology, which allows the authors to conclude that poverty is a factor that hinders a symmetrical distribution of FDI throughout the Mexican territory.

Climate Change and Security: Filling Remaining Gaps

As perception of climate change as a threat to humanity and to ecosystems grows, the rapidly growing literature increasingly refers to the notion of “climate change and security,” for which there is as yet no single agreed definition. Despite the extent of literature already published, there are at least three remaining gaps: (1) Added theoretical value: How does “climate change and security” differ from similar notions such as “climate crisis” and “climate emergency”? What theoretical gains can be made by securing against climate change? (2) Role of non-state actors: The traditional concept of security is tightly bound to the notion of national security, but the climate change and security discourse opens the door to the participation of non-state actors such as the business sector, local government, and citizens. How do they take part in ensuring security? (3) Regional imbalance: Most of the literature on climate change and security published so far comes from Europe and North America. As other regions, such as Asia, are just as affected, more voices should be heard from those regions. This issue aims to address some of these gaps. The nine articles in this issue address the notion of “climate change and security” through empirical work while theoretically contributing to several themes relating to the climate change and security discourse.

Forecasts and demographic development of the population of Fergana Valley regions of Uzbekistan until 2040

The world's population is growing rapidly and today exceeds 7.8 billion people. World population growth is expected to slow down slowly in the future. A decade ago, the world's population increased by 1.24 percent; today it is 1.1 percent, an increase of 83 million a year. The world's population is expected to reach 8.6 billion by 2030. (UNFPA 2015). This creates a regional imbalance between population growth and the development of employment, production and social infrastructure. Information is needed on the creation of new jobs in the regions, for planning the construction of preschool institutions, schools, higher and secondary specialized educational institutions, how many children will be able to attend preschool institutions in the future, how many children will reach school age and how many children will be transfered to specialized secondary and higher education, how much the labor force will increase. The population of Uzbekistan is constantly growing. From 1991 to 2020, the country's population increased by 1.7 times. For comparison: during this period, the population of neighboring Kyrgyzstan increased by 1.3 times, the population of Kazakhstan – by 1.02 times, the population of Tajikistan – by 1.5 times, the population of Turkmenistan – by 1.4 times. During the years of independence in Uzbekistan, special attention was paid to demographic issues based on the population and the human factor, the principles of a healthy mother and a healthy child. The course of demographic processes changes in accordance with the natural, socio-economic geographical conditions of the regions (Tojieva Z. N. 2019). The Fergana Valley is the most densely populated region of Uzbekistan with a small territory, a large demographic load and the largest demographic potential (Abdullaev O. 2000). Land resources with limited, high demographic pressure require research aimed at identifying, predicting and preventing future adverse events specific to the development of demographic processes in the regions of the valley. The article makes a forecast for 2025–2040 and draws conclusions using the method of age shift of the population of regions, districts and cities of the Fergana Valley, demographic regions and gender and age composition.

Analysis on the Temporal and Spatial Features of the Coupling and Coordination of Industrialization and Agricultural Green Development in China during 1990–2019

In the past 30 years, China’s industrialization level has developed rapidly, and agricultural green development (AGD) is facing severe challenges. The research on the temporal and spatial features of the coupling and coordination of industrialization and agricultural green development is a key issue to promote the sustainable development of agriculture. This paper takes China’s industrialization and AGD level as the research object, and uses panel data from 31 provinces in China from 1990 to 2019 to construct an evaluation index system for industrialization and AGD. This paper uses the coupling coordination degree model and spatial autocorrelation analysis method to calculate, test and analyze the temporal and spatial features of the coupling coordination level of industrialization and AGD. The results show that: this paper compares the industrialization and AGD levels during the study period and finds that China’s industrialization development level is on the rise as a whole, and the AGD level shows a downward trend first and then rises later. Through the horizontal comparison of different regions, this paper finds that there is a large regional imbalance in the level of industrialization and AGD. The coupling and coordination level of industrialization and AGD has always been primary. From the time point of view, coupling coordination degree shows a trend of first decline and then rise. From a spatial point of view, coupling coordination degree varies greatly among provinces, with the eastern, central and western regions decreasing successively. The level of coupling coordination has obvious positive autocorrelation in spatial distribution, and presents significant spatial agglomeration characteristics in space. The research results can provide a theoretical basis for regionally differentiated governance of the coordinated development of industrialization and AGD, and promote coordinated development.

Influencing Factors Analysis on Provincial Difference of Rural Energy Efficiency in China Employing Super Efficiency SBM Model and Global Malmquist-Luenberger Index

Given the current circumstance of increasingly severe resource and environmental deterioration, the progress of Chinese rural energy efficiency has a remarkable impression on Chinese future high-quality development. Energy consumption in rural areas accounts for a considerable proportion, so it is imperative to make a specific and accurate assessment of rural energy efficiency. This paper abandons the traditional method of regional division and separates China into eight economic zones. First of all, this paper applies Super-SBM model to calculate the rural energy efficiency and constructs a Global Malmquist-Luenberger (GML) Index based on 2008–2018 panel data. Subsequently, GML is decomposed into technical efficiency change index (GMLEC) and technological progress change index (GMLTC) to analyze green total-factor productivity (GTFP) in rural areas. Eventually, the GML and its decomposition terms of eight economic zones are explained by practicing a cumulative multiplication method from 2008 to 2018. The consequences of employing panel data of region prove that: (1) There is a severe regional imbalance of Chinese rural energy efficiency. (2) The rural energy efficiency in the northwest and southwest (western region) is higher than the Middle Yangtze River and the Middle Yellow River (central region). (3) GMLTC has a significant impact on GTFP.

A Review of Global Collaboration on COVID-19 Research during the Pandemic in 2020

In response to the COVID-19 crisis, which has become a severe threat to the health and sustainability of human life, scholars have published numerous research results. Although the importance of international research collaboration has been highlighted as a means of overcoming this global crisis, research on this particular problem has been lacking. Therefore, this study focused on the response of academia to COVID-19 by examining the collaboration between international research, and its impact. This study extracted data from Scopus, sampling articles and reviews published in 2020. By analyzing scenarios by country and international research collaboration based on data on authors’ nationalities and the research areas of documents, this study revealed that the United States and China contributed the most. In all countries, most research was conducted on medicine. European and American countries demonstrated significant interest in the social sciences and Asian countries in the life sciences. Furthermore, some countries, including Belgium and Pakistan, extended their research interests through international research collaboration. The results of this study highlight the importance of international research collaboration across various areas by overcoming the regional imbalance in intercountry collaboration and the concentration on a limited scope of subjects.

Spatial pattern of literacy in Baitarani basin, Odisha

Literacy has traditionally been described as the ability to read and write a simple message with understanding in any language. Literacy in any area was determined largely by a variety of historical, social and economic factors. Literacy brings about fundamental changes in socio-economic development. The disparity in literacy generates several social, economic and political problems, which may threaten the foundation of development. Literacy and education are necessary for human development. It contributes to better income and health of the population. The national adult Education Programme launched countrywide in 1978 has viewed literacy as a means to bring about a fundamental change in socio-economic development. Literacy and education attainment is the key variables influencing fertility, mortality and migration. Therefore, literacy is the decisive factor for the development and population control as well as inequality in literacy tends to lead to several socio-economic problems, which in turn gives rise to regional imbalance. The disparity in literacy generates several social, economic and political problems, which may threaten the foundation of development. The main objective of the present study is to analyze the pattern of literacy and changes in the Baitarani basin, Odisha.

SPATIAL DEMOGRAPHIC DATA FOR PLANNING AND RESEARCH

In Malaysia, spatial demographic studies are lacking due to data paucity. This exploratory study illustrates the relevance of spatial demographic data for development and business planning at the local level. Data for this study came from Malaysian population censuses, vital statistics reports and social statistics bulletins. Bivariate analyses were performed to present some examples of the potential use of spatial demographic data for more target-oriented planning. Data show that the population in several densely populated districts continues to grow rapidly. Hence, development planning should aim to forestall the exacer-bation of the regional imbalance. Localities with high birth rate and rapid population ageing must be prepared to cope with the changing demographic scenario. The wide variations in pupil-teacher ratio across districts indicate the need for resource reallocation. The under-reporting of births and deaths in the remote areas may result in misallocation of health and educational resources. Comparisons of indictors from different data sources demonstrate data inconsistency and deficiency. This study aims to present a strong case for collecting and disseminating small area statistics to enhance spatial demographic research for socio-economic development, infrastructural, regional and business planning.

Analysis on the imbalance of population flow network during the Spring Festival travel rush in China in 2015

This paper analyzes the imbalance of interprovincial population flow during the Spring Festival travel rush in China, using big data obtained through Baidu Migration, in terms of population flow during the festival and the normalized unbalanced coefficients of edge and node method for analysis, from which the following findings emerge: (1). The imbalance in population flow network during the Spring Festival travel rush is significant, with unbalanced coefficients and relevant frequencies of the population flow network in the Eastern and Western Regions being significantly higher than in other regions. The unbalanced coefficients in the Central Region are lower, followed by corresponding frequencies, while the unbalanced coefficients in the Northeast Region are evenly distributed with the lowest frequencies. The population flow toward the West and Northwest are relatively concentrated, while the population flow toward the South and Southwest are relatively scattered. (2). The regional imbalance during the Spring Festival travel rush has characteristics of spatial agglomeration, where a strongly-connected Southeast Subsystem and a weakly-connected Western Subsystem are formed; there is a significant leverage effect in Guangdong Province, which greatly affects the regional imbalance. Three characteristics emerge in the distribution of regional population flow—the outflow, inflow, and outflow along the Eastern, Central and Western strips/lines, respectively. The paper emphasizes the importance of researching imbalance issues, clarifies the difference between the imbalance of the population flow network and the imbalance involved in previous population research fields, and discusses the Spring Festival Effect in terms of population flow and deficiencies in research.

“Straw Hat University” Initiated by “Farmer's Professor”, the Tried & Tested Approach to Alleviate Poverty in China

China is out of extreme poverty in 2020 on schedule and one decade in advance to fulfill the UN 2030 Agenda for Sustainable Development Goals (SDGs), and became the first developing country to alleviate poverty in half century. Therefore, a large numbers of effective approaches are emerging, and the intellectual’s technology-led poverty reduction, which locally known as the “Straw Hat University”initiated by “Farmer's professor”mode, is the most tried and tested approach motivated by the intellectual’s “Serve the people” tradition and supported by the all nation. This research conduct case analysis with three most remarkable organic intellectuals as Agronomist Yuan longping, Mycologist Lin Zhanxi and Plant pathologist Zhu Youyong with their bridging gaps in food security, regional imbalance and ethnic disparity respectively to sort out the sustainable modules and universal experiences. The conclusion indicates that“Farmer's Professor” Initiated “Straw Hat University” is an effective approach to solve human beings’ development problems and benefit the livelihoods, especially in the under development regions; and the authentic down to earth experiments into productivity as well as the Intellectual property transformation is the perfect path to deploy offline and online resources building the effective production and supply chain to integrate industries by intellectual’s critical innovation.