Sand-dust Storm, Population and Environment in Northwest China

Sand-dust storms are the result of the integrated influences of climate, geography, society and human factors. A theoretical framework is built to explain the coherence of population growth, agriculture change and environmental degradation. On the basis of the analysis of the causes of the sand-dust storm in terms of human factors, a discussion will be given to show that these factors are internally consistent with the theoretical framework. After that, it will look at China's Agenda 21 and try to find relevant measures to reduce such large sand-dust storms happening in Northwest China and eventually make this area develop sustainably.     

Economic Globalization and Industrial Pollution

Abstract

In order to study the relationship between economic globalization and industrial pollution, this paper developed the theoretical framework and used simultaneous equations. The result shows that economic globalization has influences on the industrial pollution mainly by the direct effect of scale, structure and technology as well as the indirect effect of income and policy. Considering all the factors, economic globalization, especially foreign direct investment (FDI), will reduce industrial pollution, in which technology spillover effect plays an important role.     

Impacts of the Rising Opportunity Cost of Farm Labor on Agricultural Land Use Structure: Theory and Empirical Evidences

Abstract

Nowadays the rising of opportunity cost of farm labor comes to the forefront of attention in China. In order to understand its impact on agricultural land-use structure, a theoretical framework of household economics is formulated drawn on Low’s model. Under the theoretical framework, the impact of the rising opportunity cost of on-farm on cropping structure is deduced in theory. And then, using statistic and survey data, taking mountain area of southern Ningxia as an example, the theoretical assumes are verified. The results show that the rise of opportunity cost of farm labor leads to less diversified cropping structure.     

Externalities,Floating Population and Spatial Agglomeration

Abstract

With the further development of socialist market economy, the mobility of factor markets in China, especially the labor market, is strengthened. Externalities interacts with the agglomeration of productive factors. Under the framework of new economic geography, this article presents a theoretical model involving the endogenous population density affected by urban externalities. Results show that the population density is more concentrated around the center because the degree and extent of interaction between individuals intensifies when the distance from the center decreases. When there are several externalities resources, the aggregation of externalities changes the configuration of spatial factor allocation. These results fit well with the empirical facts about the decreasing density of floating population along the cities of Guangzhou, Dongguan and Shenzhen in Guangdong Province which is situated in the eastern coast of the Pearl River Delta. We find that under the impacts of externalities released from Hong Kong into the coast, floating population was more concentrated around Shenzhen and Dongguan, which are more adjacent to Hong Kong compared with Guangzhou City.     

New Development in Study of the Faustmann Optimal Forest Harvesting

Abstract

Chinese forest resources have become very scarce in the face of rapid economic growth demand, while the reform of collective forest right system is in full swing across the country. It will directly affect the regeneration level of forest resources and the diverse ecological value functions. In this article, the mainstream model paradigm of forest economics, that is, the basic framework of the Faustmann model and its evolution process are made in a more detailed explanation, especially the extended model including considered silvicultural effort, tax subsidies, risk dynamic management, and forest regeneration factors are made in more detailed explanations. This article concludes with the future further research directions of forest economics, including the design of dynamic models that includes considered uneven-aged forest management, non-timber goods and services, dynamic forest models. The research reflects the general trend of interdisciplinary and cross-border.     

Basic Framework and Conception of Promoting the Sustainability of Population,Resources, Environment and Socio-Economic Development in China

Abstract

Population, resources, environment and socio-economic development are four major issues of increasing world attention today and are also four major factors constraining China's development tomorrow. Through an analysis of the international situation and an assessment of China's actual conditions, this article proposes a basic framework and conception of promoting the sustainability of China's population, resources, environment and socio-economic development.     

Green Lean Six Sigma implementation framework: a case of reducing graphite and dust pollution

ABSTRACT

Modern organisations are in search of initiatives which will enable them to be sustainable as well as gain a competitive advantage. Lean, Six Sigma and Green initiatives are some of the widely used tools which aid the organisation to be sustainable. Recent studies have suggested that the integration of Green and Lean Six Sigma (LSS) will create a powerful methodology and help organisations to be sustainable. Yet, many organisations have found it difficult due to the lack of a generic implementation framework, which can be used for any processes and cultural context. The purpose of this study is to answer the research question: how to implement a sustainable Green LSS initiative in the organisation. Through a critical analysis of previous literature, an implementation framework is developed and practically implemented through a case study to reduce the graphite and dust pollution in a mine in India. Within case analysis, it is conducted to develop propositions, future research directions and managerial implications. This is a first study to develop and practically test a generic implementation Green LSS framework.     

The Role of Fictional Film Exposure and Narrative Engagement for Personal Norms,Guilt and Intentions to Protect The Climate

ABSTRACT

Using an integration of Norm Activation Theory, Value-Belief-Norm Theory and Narrative Persuasion, this study investigates the ability of an eco-dystopian science fiction film set in a world of excessive solar radiation to support intentions for pro-environmental behavior. Specifically, the influence of narrative engagement and explicit references to human responsibility for climate change are tested. A 2 (high vs. low narrative engagement) x?3 (human responsibility frame vs. temperature frame vs. no frame) plus control group (no film) experiment was conducted (n?=?257). Results show that compared to the control condition, the film had an indirect effect on behavioral intentions by raising the personal norm (a sense of personal obligation to act). The temperature change and human responsibility frames did not show any influence, while narrative engagement had an indirect effect on intentions by increasing guilt. The results are discussed with regard to their theoretical and practical implications.     

A framework for identifying distinct multipollutant profiles in air pollution data

BackgroundThe importance of describing, understanding and regulating multi-pollutant mixtures has been highlighted by the US National Academy of Science and the Environmental Protection Agency. Furthering our understanding of the health effects associated with exposure to mixtures of pollutants will lead to the development of new multi-pollutant National Air Quality Standards.ObjectivesIntroduce a framework within which diagnostic methods that are based on our understanding of air pollution mixtures are used to validate the distinct air pollutant mixtures identified using cluster analysis.MethodsSix years of daily gaseous and particulate air pollution data collected in Boston, MA were classified solely on their concentration profiles. Classification was performed using k-means partitioning and hierarchical clustering. Diagnostic strategies were developed to identify the most optimal clustering.ResultsThe optimal solution used k-means analysis and contained five distinct groups of days. Pollutant concentrations and elemental ratios were computed in order to characterize the differences between clusters. Time-series regression confirmed that the groups differed in their chemical compositions. The mean values of meteorological parameters were estimated for each group and air mass origin between clusters was examined using back-trajectory analysis. This allowed us to link the distinct physico-chemical characteristics of each cluster to characteristic weather patterns and show that different clusters were associated with distinct air mass origins.ConclusionsThis analysis yielded a solution that was robust to outlier points and interpretable based on chemical, physical and meteorological characteristics. This novel method provides an exciting tool with which to identify and further investigate multi-pollutant mixtures and link them directly to health effects studies.     

No Sustainability without Technical,Fiscal and Social Innovation

Abstract

Migration process has become increasingly important in recent research on population and the environment. A majority of the existing migration and environment literature has focused on the environmental causes and determinants of migration. With the largest rural-to-urban migration flow in world history, and growing concerns about the environmental problems accompanying its fast economic development, China provides a particularly important case for migration and environment research. This paper reviews major migration theories and recent research on environmental effects on migration, with specific attention to the influences of environmental factors on rural-to-urban labor migration in China. A comprehensive multilevel conceptual framework is developed for studying the environmental causes of rural-to-urban migration in China. The effects of land resources on household labor migration decisions in rural China are explored to illustrate the application of this framework.     

Farmers' Willingness-to-Pay for Environment and Human Health and Adoption of IPM

Abstract

Although chemical control of pests increases crop production, it brings a lot of damage to environment and human health. There exist a number of alternative methods that are not so harmful to environment and human health. However, whether and how much in extent these technologies adopted are plausible depends on the comparison of benefit- cost between chemical control and the alternative control methods (such as Integrated Pest Management, IPM) and farmers' willingness-to-pay (WTP) for environment and human health. Using contingent valuation method (CVM), the author investigates farmers' WTP for environment and human health, recognizes the factors influencing WTP, and accordingly points out the importance of pest control technology extension and government regulation of pesticides.     

Analysis of Environmental and Socio-economic Determinants Affecting Population Longevity Level at County Level in China

Abstract

Based on the current literature, this paper is mainly intended to test whether environmental factors and socio-economic factors will have direct effect on the longevity at county level in China in order to determine the major determinants affecting local longevity level. Using the multi-regression model, we find the result that factors such as temperature, climate, longitude, type of soils, as well as type of agricultural food production play a major role in shaping the longevity at county level, and that socioeconomic factors like infant mortality and gross death rate also have some direct impact on longevity, but the degree of impact is not as strong as the above environmental factors.     

Carrying Capacity: An Overview

Abstract

The concept of carrying capacity is derived from ecology, with widespread contentions of its theoretical connotations and applications in the international academic community, especially the impact of human activities on the environment. Disputes on carrying capacity have been occurring not only among biologists and ecologists, but also among mainstream economists. Based on their efforts, the author makes an attempt to describe its origin, connotations, problems, measurement, and at the same time note the latest international progress in this field.     

Nature Reserve and Ecotourism Development in China's Wuzhishan Mountain Region

Abstract

As the protected areas of land and coastal environment, nature reserves are designed to address how to reconcile the conservation of biodiversity, the quest for economic and social development and the maintenance of cultural values. This paper establishes a framework for nature reserve development that seeks to incorporate ecotourism into its strategies. The overall purpose was to identify the information needs required for a comprehensive nature reserve that incorporates ecotourism related values. It also illustrates the utility of this framework in the context of the Wuzhishan Mountain Region of China. A literature review, the first phase of a visionary strategy and a subsequent gap analysis for available management information were undertaken in order to achieve this paper's purpose. Finally, recommendations are presented for integrating ecotourism into nature reserve development in the Wuzhishan Mountain Region.     

A framework for understanding climate change impacts on coral reef social–ecological systems

Corals and coral-associated species are highly vulnerable to the emerging effects of global climate change. The widespread degradation of coral reefs, which will be accelerated by climate change, jeopardizes the goods and services that tropical nations derive from reef ecosystems. However, climate change impacts to reef social–ecological systems can also be bi-directional. For example, some climate impacts, such as storms and sea level rise, can directly impact societies, with repercussions for how they interact with the environment. This study identifies the multiple impact pathways within coral reef social–ecological systems arising from four key climatic drivers: increased sea surface temperature, severe tropical storms, sea level rise and ocean acidification. We develop a novel framework for investigating climate change impacts in social–ecological systems, which helps to highlight the diverse impacts that must be considered in order to develop a more complete understanding of the impacts of climate change, as well as developing appropriate management actions to mitigate climate change impacts on coral reef and people.     

Ecological Approaches to Urban Migration of the Three Gorges Reservoir Region

Abstract

With the approach of the second water storage of the Three Gorges Project, urban migration has become a great concern. However, being influenced by economical, social or other factors, ecological problems have apparently become pressing. All these problems are exerting great impact upon the speed and quality of new city's or town's construction. By means of ecology, urban ecology, landscape ecology, human settlement science as well as the principle of sustainable development, this paper analyzes the ecological problems in urban migration, and the corresponding approaches in order to promote ecological environment construction of new cities and give an impetus to sustainable development of the whole human settlements in the Three Gorges Reservoir Region.     

The role of capital deepening in China’s energy transition

ABSTRACT

This paper provides a theoretical model to explain the causality between China’s energy transition and capital deepening found by the empirical study. We prove that in the equilibrium, China’s energy transition is endogenously determined by capital deepening due to the homogeneity of electricity and the monopolistic competition features of China’s electricity market. Price effect, which is the effect of change in relative factor price, will affect energy transition only if the policy intervenes electricity price in terms of the primary sources from which it is generated. We propose that investment can promote energy transition by stimulating capital deepening which is biased to clean energy development. In this regard, our paper provides a new way of thinking for other developing countries to design an effective energy transition policy.     

A framework to spatially cluster air pollution monitoring sites in US based on the PM2.5 composition

BackgroundHeterogeneity in the response to PM_2.5 is hypothesized to be related to differences in particle composition across monitoring sites which reflect differences in source types as well as climatic and topographic conditions impacting different geographic locations. Identifying spatial patterns in particle composition is a multivariate problem that requires novel methodologies.ObjectivesUse cluster analysis methods to identify spatial patterns in PM_2.5 composition. Verify that the resulting clusters are distinct and informative.Methods109 monitoring sites with 75% reported speciation data during the period 2003–2008 were selected. These sites were categorized based on their average PM_2.5 composition over the study period using k-means cluster analysis. The obtained clusters were validated and characterized based on their physico-chemical characteristics, geographic locations, emissions profiles, population density and proximity to major emission sources.ResultsOverall 31 clusters were identified. These include 21 clusters with 2 or more sites which were further grouped into 4 main types using hierarchical clustering. The resulting groupings are chemically meaningful and represent broad differences in emissions. The remaining clusters, encompassing single sites, were characterized based on their particle composition and geographic location.ConclusionsThe framework presented here provides a novel tool which can be used to identify and further classify sites based on their PM_2.5 composition. The solution presented is fairly robust and yielded groupings that were meaningful in the context of air-pollution research.     

Quantitative Appraisement on Ecological Carrying Capacity in Coastal Rapid Developing Region of Hainan Province

Abstract

The ecological carrying capacity, an important indicator to evaluate the sustainable development of the ecosystem, means the potential ability of the natural ecosystem to carry socioeconomic development while the ecosystem is healthy. It is limited by the carrying capacity of natural resources and environment and the elasticity of the ecosystem. It will be greatly significant to study the ecological carrying capacity of Hainan Province, the first ecological province admitted by the State Environmental Protection Administration in China. Not only is the natural ecosystem reflected, but also the effects of human activities are emphasized by integrating the ecosystem health analysis into the ecological carrying capacity research. The research results, using the Factor Analysis tools of software SPSS, indicate that the ecological carrying capacity of Hainan Province fluctuated obviously from 1996 to 2005. The level of the ecological carrying capacity of Hainan Province was relatively high in 1996, and reached into trough from 1997 to 1999. It has steadily ascended to be above the middle level since the 21st century. The results also show that policy factors, especially the implementation of the ‘Ecological Province’ strategy, were important driving forces to influence the ecological carrying capacity. With the population rapidly increasing, the land and water resources per capita have decreased quickly. The amount of the ecological carrying capacity was promoted remarkably by socioeconomic development especially economic growth and technology applications. All of these will provide useful suggestions to establish and enact regional development policies, especially for protecting and reconstructing the ecology and environment of Hainan Province.     

The Effect of Jump on Evaluating Natural Resource Investments

Abstract

The evaluation of mining and other natural resource projects is made particularly difficult by the high degree of uncertainty attaching to output prices. It is shown that the techniques of continuous time arbitrage and stochastic control theory may be used not only to value such projects but also to determine the optimal policies for developing managing. This paper describes a model for evaluating natural resource investments under uncertainty from a new perspective. The previous works in this field mostly regard the movements of natural resource prices as a continuous GBM process, which pays few attentions to the shock of unexpected bad news. Our model provides the first theoretical method to analyze the impact of such “jump” on investment decisions. It concludes that the more frequently bad news happens, the earlier a project will be invested.