Sustainability in China: Bridging Global Knowledge with Local Action

China’s road to sustainability has attracted global attention. Since the “Reform & Opening Up” policy, China’s rapid pace of both urbanization and industrialization has made its being the second largest economy but meantime a heavy environmental price has been paid over the past few decades for addressing the economic developmental target. Today, as the biggest developing country, China needs to take more responsibilities for constructing its local ecological-civilization society as well as for addressing the global challenges such as climate change, resources scary and human beings well-fare; therefore, we need to have deeper understandings into China’s way to sustainability at very different levels, both spatially and structurally, concerns ranging from generating sustainable household livelihoods to global climate change, from developing technological applications to generate institutional changes. In this spirit, this publication, “Sustainability in China: Bridging Global Knowledge with Local Action” aims to investigate the intended and spontaneous issues concerning China’s road to sustainability in a combined top-down and bottom-up manner, linking international knowledge to local-based studies

Economic growth pattern in restricted areas: the case study of Kangding City in Sichuan Province

The construction of regional development patterns based on the main functional areas is a major strategic innovation which not only conforms to the national regional policy but also incorporates regional features. On June 8, 2011, the state council issued the National Main Function Area Planning to readjust guiding thoughts of regional development of our country. In 2013, Sichuan province formulated and published the Main Function Area Planning which divided the restricted areas into main producing areas of agricultural products and key ecological functional areas. And among them, the key ecological functional areas are the important research subject of this thesis. In light of the strategic pattern of main functional areas, the structure of regional interests has undergone a major adjustment, which means that economic devolopment pattern in restricted areas need a foundamental transformation. Such areas need to build up economic system rooted in main functions and enhance their self-sustainability. It also poses a new challenge for policymakers in these areas. Research on economic growth pattern of restricted areas has become an important topic in the study of China’s regional economic theory.A definição de padrões de desenvolvimento regionais baseados em áreas funcionais principais constitui uma inovação estratégica, que não só está de acordo com as políticas regionais, mas também permite a inclusão das características específicas de cada região. A 8 de junho de 2011as autoridades nacionais Chinesas publicaram o documento intitulado National Main Function Area Planning para reajustar, a nível nacional, as linhas estratégicas de desenvolvimento regional. Em 2013 a província de Sichuan editou e publicou o Main Function Area Planning que dividia as áreas de desenvolvimento restrito em dois tipos: áreas de produção maioritariamente agrícola e áreas funcionais ecológicas chave. O principal objeto de investigação desta tese é a segunda destas áreas. Tendo em consideração os padrões estratégicos das áreas funcionais principais, a estrutura dos interesses regionais tem sido sujeita a ajustamentos importantes, o que significa a necessidade de transformações fundamentais nos padrões de desenvolvimento económico das áreas de desenvolvimento restrito. Estas áreas necessitam de construir um sistema económico baseado nas funções principais e que seja autossustentado, o que constitui um novo desafio para as políticas públicas. Os padrões de crescimento económico em áreas de desenvolvimento restrito tornou-se um importante tópico de investigação na teoria económica regional da China

Turismo na República Popular da China: políticas e desenvolvimento económico

Mestrado em Estudos ChinesesO presente trabalho propõe-se a investigar o percurso da indústria do turismo na República Popular da China nos últimos 50 anos, desde a fase em que o país mergulhou numa política de completo isolamento em relação ao resto do mundo, até se ter tornado num dos principais intervenientes económicos e políticos a nível mundial. Paralelamente, o sector do turismo acompanhou essas mudanças que se foram desenvolvendo ao longo dos tempos, para passar a ser hoje um dos principais sectores da economia da China. O presente trabalho de investigação examina as principais mudanças ocorridas ao nível das políticas lançadas para o sector em questão, bem como o impacto que elas tiveram no desenvolvimento económico do país. Pretende-se, portanto, determinar até que ponto os resultados económicos desta indústria foram determinados pelas acções e programas lançados pelo Governo Chinês ao longo dos últimos 50 anos.This thesis researches the path that the tourism industry followed in the People’s Republic of China over the last fifty years, since the period when the country closed itself off from the rest of the world until it had become one of the big economic and politic players on the world scene. The tourism industry also followed the changes that were developing over time and became one of the most important economic sectors in China. This work examines the major policy changes that occurred within the sector, as well as the impact they had on the economy. It attempts to determine the extent to which the economic results accomplished by this industry were determined by the actions and programmes launched by the Chinese Government

Study on the efficiency evolution trend of coordinated development of the human–earth system in minority areas of Yunnan, China

IntroductionImproving the development efficiency of human–earth systems is a practical requirement for achieving high-quality regional development.MethodsThe article designs a data envelopment analysis (DEA) model under the constraints of coordinated development degree from the perspective of the interaction of natural, economic and social systems to evaluate the development efficiency of human–earth systems and uses GA-BP neural network model for the prediction of the development efficiency of the human–earth system of each geographical unit from 2018 to 2025 based on the panel data of the 8 ethnic autonomous prefectures in Yunnan Province form 1995 to 2017.ResultsThe study found that from 1995 to 2017, the coordination degree and the coordinated development degree of the human–earth system in Yunnan minority areas were on the rise, but mainly manifested in the coordination of low development degree, and the average comprehensive efficiency value of input and output showed a downward trend. The prediction results for 2018–2025 showed that the human–earth system in Yunnan minority areas will be at a low efficient coordinated development level, and the coordinated development degree will show a downward trend. The development degree of natural subsystems in many ethnic minority areas showed negative growth and was negatively correlated with the development degree of economic and social subsystems. In 2025, except Honghe and Banna, the other six regions will be inefficient regions. Among these six inefficient regions, only Wenshan has input redundancy in the natural subsystem, but the phenomenon of input redundancy in the economic subsystem and insufficient output in the natural subsystem is common, indicating that industrial pollution has been controlled to a certain extent in most regions, but the economic investment mode and resource recycling efficiency need to be optimized and improved.DiscussionOur results could enrich the content of human–earth system characteristics in typical regions, and also provide theoretical support for regional coordinated development in China

A Comparison of the Management Models of Protected Areas between China and the Southern African Region

A Comparison of the Management Models of Protected Areas between China and the African South Region allows reading and evaluating the similarities and differences in the use of management model as a management tool for protected areas in China and South African Region. Specifically, some positive and negative features of the management approaches for the two regions. Secondary data was collected from various related literature such as policy documents, students‟ dissertations/thesis, scientific articles and magazines. Based on the method above, the study found out that China's first nature reserve was the Dingus Mountain Nature Reserve in Zhaoqing, Guangdong province established in 1956. By the end of 2005, about 2,349 nature reserves of various kinds were set up throughout the country, covering a total area of 149.95 million ha and accounting for 15 percent of the total land territory. The study further found that Southern Africa has approximately 4,390 protected areas out of 11487920 total land areas and Eastern Africa has approximately 1838144 protected areas, which is equivalent to 15.0% of the total land areas. South Africa in this region had its first declared natural park in 1926 after Paul Kruger (a war hero) had alerted the authorities of the extinguishing threat of some animal species of region

Integrated water-resources management in a river basin context: institutional strategies for improving the productivity of agricultural water management; Proceedings of the Regional Workshop, Malang, Indonesia January 15-19, 2001

Water resource management, River basins, Institutional development, Social aspects, Economic aspects, Water policy, Hydrology, Models, Water allocation, Agricultural and Food Policy, Agricultural Finance, Institutional and Behavioral Economics, Resource /Energy Economics and Policy,

Geo Data Science for Tourism

This reprint describes the recent challenges in tourism seen from the point of view of data science. Thanks to the use of the most popular Data Science concepts, you can easily recognise trends and patterns in tourism, detect the impact of tourism on the environment, and predict future trends in tourism. This reprint starts by describing how to analyse data related to the past, then it moves on to detecting behaviours in the present, and, finally, it describes some techniques to predict future trends. By the end of the reprint, you will be able to use data science to help tourism businesses make better use of data and improve their decision making and operations.