The Effects of Competitive Environment on Supply Chain Information Sharing and Performance: An Empirical Study in China

Information sharing in supply chains has become an important topic over the past decade. This study uses data from 617 Chinese manufacturing firms to investigate the relationships among competitive environments, supply chain information sharing (SCIS), and supply chain performance. The results of structural equation modeling analysis show that (i) international competition is positively related to all three types of SCIS whereas local competition is not significantly related to any of the three types, (ii) internal information sharing is positively related to external information sharing with suppliers and customers, and (iii) internal information sharing and information sharing with customers are positively related to superior supply chain performance, whereas supplier information sharing is not significantly related to performance. The findings enhance our understanding of the relationships among competitive environment, SCIS, and supply chain performance in Chinese manufacturing settings.     

Does International Economic Integration Lead to a Cleaner Production in China?

In contrast to the Pollution Haven Hypothesis, the Trade‐Up Hypothesis holds that international integration helps improve firms' environmental performance in developing countries. Using firm‐level data from Shanghai, this article examines how international linkages, in the form of foreign direct investment or international trade, affect firms' environmental compliance and performance. We find that firms with international linkage via ownership exhibit better compliance with environmental regulation and emit less pollution than firms with no international linkage. We also find that firms with international linkage via market exposure are more likely to exhibit better compliance with environmental regulation than firms with no international linkage, but find no evidence that the former emit less pollution than the latter. This provides a piece of empirical evidence for the Trade‐Up Hypothesis.     

Measuring the Contribution of Workers' Health and Psychosocial Work‐Environment on Production Efficiency

Increasingly many firms have started to implement programs intended to improve the workers' health and the psychosocial work‐environment, as well as other attributes of labor quality. Motivated by the need for evaluating to what extent the programs affect a firm's productivity performance, this study discusses a model for analyzing the contribution of labor quality attributes toward firm productivity. To assess the contribution from the labor quality attributes, we model firm productivity as the outcome of two separate processes within a firm: the physical production process and the labor quality process. Firm productivity is measured by a Malmquist‐like productivity index and is computed by Data Envelopment Analysis. Based on bootstrap methods we analyze potential statistical bias and provide bias‐corrected productivity estimates. The labor quality attributes are first modeled at an individual worker level as latent variables using Item Response Theory, and then aggregated to a firm‐level. The model is empirically validated using data from three manufacturing plants that participated in a coordinated worksite health promotion program. Over a 4‐year period (2000–2003), we observed a general improvement in efficiency of 2–5%, half of which could be attributed to an improvement in workers' health and psychosocial work‐environment. A key benefit with the model is that it is practical, easy to implement, and very fast to compute. The model also constructively contributes to the discourse on sustainability by providing a framework for deriving meaningful metrics and providing tangible measurements on the effect of sustainability‐related issues.     

Estimating Traffic Emissions Using Demographic and Socio-Economic Variables in 18 Chilean Urban Areas

A macro-scale methodology for vehicle emissions estimation is described. The methodology is based on both correlations between activity level and PM, CO, THC and NO _x vehicle emissions and relationships between demographic and socio-economic variables and transportation activity level. First, pollutant emissions were correlated with transportation activity, expressed as vehicle-km/year, using existing data collected from mobile sources emission inventories in nine urban cities of Chile. Second, demographic and socio-economic variables were pre-selected from those that could intuitively be correlated with vehicle activity level and considering the data availability. Using the individual R ² correlation coefficient as variable selection criterion, population, the number of vehicles, fuel consumption, gross domestic product, average family incomes and road kilometers were finally chosen. A different set of explicative variables was considered for different vehicle categories, based on the selection criterion above mentioned. Then, correlation functions between these variables and transport activity were obtained by non-linear Gauss–Newton least square method. This methodology was applied to eighteen provinces of the country obtaining total annual emission for mobile sources, divided into six main vehicles categories.     

Completing the Picture: The Challenges of Bringing “Consumption” into the Population–Environment Equation

The issue of environmentally significant consumption is closely linked to population–environment relationships, but with some exceptions the two literatures have proceeded along separate tracks. We explore three consumption–environment research agendas: household–level consumption; ecological footprints and material flow accounting; and values, attitudes, behaviors and lifestyles. In each of these we note areas of overlap with the population–environment literature, and ways in which the population–environment literature might benefit or borrow from conceptual or methodological approaches in the consumption–environment literature. We also propose ways in which consumption research might be integrated into the largest (in terms of funding) of the population–environment research agendas, land-use and land-cover change research. In the concluding section we present a conceptual framework for understanding the population–environment literature that incorporates production and consumption into the model, and we propose some population–consumption–environment (PCE) research areas to which the population-environment research community could make significant contributions.     

Examining the Impact of Demographic Factors on Air Pollution

This study adds to the emerging literature examining empirically the link between population size, other demographic factors and pollution. We contribute by using more reliable estimation techniques and examine two air pollutants. By considering sulfur dioxide, we become the first study to explicitly examine the impact of demographic factors on a pollutant other than carbon dioxide at the cross-national level. We also take into account the urbanization rate and the average household size neglected by many prior cross-national econometric studies. For carbon dioxide emissions we find evidence that population increases are matched by proportional increases in emissions while a higher urbanization rate and lower average household size increase emissions. For sulfur dioxide emissions, we find a U-shaped relationship, with the population-emissions elasticity rising at higher population levels. Urbanization and average household size are not found to be significant determinants of sulfur dioxide emissions. For both pollutants, our results suggest that an increasing share of global emissions will be accounted for by developing countries. Implications for the environmental Kuznets curve literature are described and directions for further work identified.     

Environmental Refugees? Classifying Human Migrations Caused by Environmental Change

What distinguishes environmental refugees from other refugees—or other migrants? Are all environmental refugees alike? This essay develops a classification to begin to answer these questions and facilitate future policies and research on environmental refugees. Environmental refugees may have considerable control over the decision to migrate, but this varies by the type of environmental disruption. The origin, intention, and duration of environmental disruptions shape the type of refugee. Refugees from disasters and expropriations have limited control over whether environmental changes will produce migration. Gradual degradation allows “environmental emigrants” to determine how they will respond to environmental change.     

Habitat stability and the larval mosquito community in treeholes and other containers on a temperate Island

The temporal fluctuation of water levels and the presence of mosquito larvae were investigated for four types of small container habitats (treeholes, bamboo stumps, cemetery stone vases, and cemetery stone vessels) on Kabeshima Island in Kyushu, southwestern Japan. The probability that containers held water was positively correlated with the quantity of the preceding rainfall and with the depth and volume of the containers. It was estimated that dehydration occurred more regularly in autumn and winter than in summer. The probability that mosquito larvae were present in each type of container was positively correlated with habitat stability in terms of the probability of the existence of standing water and the coefficient of variation of the water level. Twelve species of mosquito larvae, including two rare predators, were found. Species composition differed between the different types of container. Although 4 to 10 species used each type of container, the median number of species per container was two for treeholes and bamboo stumps, and one for the others. The dominant species wasTripteroides bambusa in treeholes and bamboo stumps,Aedes albopictus in stone vases, andA. japonicus in stone vessels. The larval mosquito community, which lacked major predators, possessed the following features that may facilitate the coexistence of many species: (1) niche segregation amongst species in terms of their selection of container types; (2) an aggregated distribution of the individual species among containers of the same type; (3) high intraspecific mean crowding (and hence probably intense intraspecific competition) in the dominant species in each type of container; (4) independent species associations within the same type of container; and (5) low interspecific mean crowding (and hence probablynot intense interspecific competition) between species in the same type of container.     

我国人口分布、迁移的生态环境因素分析

人口分布、迁移受环境、历史、经济等多因素影响,但从经济因素分析人口问题,所占比例较大。本文着重分析区域生态环境与人口分布、迁移的相互影响的关系,并认为:为协调我国人口分布、迁移与区域生态环境之间的关系,关键有两点新思路,一是允许人口分布数量的不均衡存在,二是重视人口迁移的高质量转变。     

Two Population-Environment Regimes in the Great Plains of the United States, 1930–1990

This paper analyzes factors that affect net migration rates in counties in the U.S. Great Plains between 1930 and 1990, emphasizing the roles of weather (especially drought), environmental amenities, employment, and population, making use of a rich county-level data set. Using a pooled time series model the paper shows that environment is important in population processes, with weather and agricultural change more important in the 1930s and 1940s, and environmental amenities more important in later time periods. The paper provides important insights into how environmental impacts on migration might change over time, and how those changes might be measured.