20 research outputs found

    Deregulation of manganese superoxide dismutase (SOD2) expression and lymph node metastasis in tongue squamous cell carcinoma

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    <p>Abstract</p> <p>Background</p> <p>Lymph node metastasis is a critical event in the progression of tongue squamous cell carcinoma (TSCC). The identification of biomarkers associated with the metastatic process would provide critical prognostic information to facilitate clinical decision making. Previous studies showed that deregulation of manganese superoxide dismutase (SOD2) expression is a frequent event in TSCC and may be associated with enhanced cell invasion. The purpose of this study is to further evaluate whether the expression level of SOD2 is correlated with the metastatic status in TSCC patients.</p> <p>Methods</p> <p>We first examined the SOD2 expression at mRNA level on 53 TSCC and 22 normal control samples based on pooled-analysis of existing microarray datasets. To confirm our observations, we examined the expression of SOD2 at protein level on an additional TSCC patient cohort (n = 100), as well as 31 premalignant dysplasias, 15 normal tongue mucosa, and 32 lymph node metastatic diseases by immunohistochemistry (IHC).</p> <p>Results</p> <p>The SOD2 mRNA level in primary TSCC tissue is reversely correlated with lymph node metastasis in the first TSCC patient cohort. The SOD2 protein level in primary TSCC tissue is also reversely correlated with lymph node metastasis in the second TSCC patient cohort. Deregulation of SOD2 expression is a common event in TSCC and appears to be associated with disease progression. Statistical analysis revealed that the reduced SOD2 expression in primary tumor tissue is associated with lymph node metastasis in both TSCC patient cohorts examined.</p> <p>Conclusions</p> <p>Our study suggested that the deregulation of SOD2 in TSCC has potential predictive values for lymph node metastasis, and may serve as a therapeutic target for patients at risk of metastasis.</p

    How Environmental Beliefs Affect Consumer Willingness to Pay for the Greenness Premium of Low-Carbon Agricultural Products in China: Theoretical Model and Survey-based Evidence

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    The increase in the supply of low-carbon agricultural products is crucial to reduce carbon emissions, but the production of such products incurs additional input costs and thus the crux of the low-carbon agricultural products market development lies in how such cost can be shared in a reasonable manner. The increase of consumer willingness to pay and the premium level that consumers would pay for green products hold the key to address this challenge. For that reason, this paper first constructs a behavioral game model to explore how environmental beliefs would affect consumer willingness to pay for the greenness premium. Then, the paper proceeds with empirical analyses on factors influencing consumer willingness to pay for the greenness premium by using micro-survey data of Chinese consumers when facing the choices of low-carbon rice in the cities of central China. The empirical research suggests that, although the average greenness premium that Chinese consumers are willing to pay for low-carbon agricultural products is low, the greenness premium will be stronger when consumers have higher environmental beliefs. We also find the impacts of environmental beliefs on the willingness to pay as well as the greenness premium levels that consumers are willing to pay for low-carbon agricultural products increase with education attainment and family income, but do not change with age. Findings in this study carry several important policy implications. To encourage green consumption that facilitates green production, the government should devote attempts to promote consumers’ environmental beliefs and also apply differentiated public policy that targeting at different types of consumers

    Rural human capital investment’s driving effects to labor migration - An empirical study based on Vector Error Correction Model

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    Based on vector error correction model, this essay aims to test the relationship between the rural human capital investment and labor migration by using the data of Hunan province from 1994 to 2014. Experiment results show the long-term balanced relationship between rural human capital investment and labor migration. Rural human capital investment can boost the transfer of labor force effectively in the long run. While none obvious effect would take in a short time. There is time lag effect on human capital investment. The time needed to amend the cointegration relationship would be long and the primary factor that affects the labor migration is the prophase investment of human capital

    Disaster Impact, National Aid, and Economic Growth: Evidence from the 2008 Wenchuan Earthquake

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    How disasters have affected economic growth has often been a subject for economic debate, and empirical studies of the experience in China are clearly inadequate. Using the panel data from 181 county-level cities in Sichuan province from 2003 to 2013, this paper investigates the direct and dynamic effects of the Wenchuan earthquake disaster on economic growth, as well as how national rescue affected postdisaster economic recovery. The econometric results show that earthquakes significantly reduce real GDP in the affected areas after controlling for the national rescue variables, and this negative effect exists in the affected area over a long time. In addition, our empirical findings suggest that the postdisaster national rescue can promote economic recovery in the affected areas by increasing government expenditure, improving traffic conditions, and enhancing the urbanization process and the level of industrialization. Besides, state financial aid has no obvious effect on the development of tertiary industries and the accumulation of human capital in affected areas. These results were found to be robust after applying several approaches to alleviate the potential endogeneity problem. Findings in this study carry several important policy implications. As well as providing national rescue to promote postdisaster reconstruction, the government should also develop policies that will provide direct aid funding to tertiary industries and boost postdisaster economic reconstruction and human capital accumulation, thus improving the efficiency of relief funding and reducing the long-term adverse effects of the disaster on economic growth

    Carbon emission reduction effect of China’s final demand structure change from 2013 to 2020: a scenario-based analysis

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    This study employs scenario analysis to measure the carbon emissions reduction potential of the final demand structure changes in China from 2013 to 2020. The results indicate that under the business as usual (BAU) scenario (i.e. in which China’s final demand structure, energy structure and technical level in 2020 are the same as those in 2012), China’s gross domestic product of 2020 calculated by 2005 constant price is 6,427,658,783×10,000 yuan and China’s total carbon emissions will reach 1,531,692.29×10,000 tons, with its carbon emission intensity standing at 2.3686 t/10,000 yuan (it is only 25.57% lower than in 2005). Furthermore, under the specific final demand product structure (when “government consumption”, “export consumption”, “residents’ consumption + capital formation” accounts for 12%, 18% and 70%of final demand, respectively), China’s total carbon emissions in 2020 will be reduced by between 167,595.33×10,000 and 204,142.45×10,000 tons compared to the BAU scenario, and carbon emission intensity nationwide will be reduced by 33.71-35.49% compared with 2005. Finally, based on the assumptions and conclusions, this study puts forward some suggestions to realize the China’s carbon emission reduction commitments

    Knowledge Mapping of Carbon Footprint Research in a LCA Perspective: A Visual Analysis Using CiteSpace

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    Carbon emissions are inevitably linked to lifestyle and consumption behaviours, and the concept of &ldquo;carbon footprinting&rdquo; is now well-recognised beyond academia. Life cycle assessment (LCA) is one of the primary tools for assessing carbon footprints. The aim of this paper is to present a systematic review of literatures focusing on carbon footprint calculated with life cycle assessment. We used CiteSpace software to draw the knowledge map of related research to identify and trace the knowledge base and frontier terminology. It was found that the LCA application in respects of carbon footprint studies was completed mainly for the following aspect: beef production and dairy industry, seafood and fishery, nutrition, urban structure and energy use. The CiteSpace analysis showed the development path of the above aspects, for example, beef production and dairy industry has been a long-term topic in this kind of research, while the topic of nutrition appeared in recent years. There was also a cluster of literature discussing footprint evaluation tools, such as comparing LCA with input&ndash;output analysis. The CiteSpace analysis indicated that earlier methodological literature still plays an important role in recent research. Moreover, through the analysis of burst keywords, it was found that agriculture productions (dairy, meat, fish, crop) as well as global climate issues (greenhouse gases emission, global warming potential) have always been the areas of concern, which matches the result of co-citation analysis. Building materials (low-carbon building, natural buildings, sustainable buildings) and soil issues (soil carbon sequestration, soil organic carbon) are the topics of recent concern, which could arouse the attention of follower-up researchers

    How Real Estate Shocks Affect Manufacturing Value Chain Upgrading: Evidence from China

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    Contrary to the conventional viewpoint that &ldquo;high housing price promotes industrial upgrading&rdquo;, this study finds that increasingly high housing prices are a pivotal factor that obstructs industrial value chain upgrading. Based on city-level data, micro-level data for Chinese industrial enterprises, and data for listed Chinese enterprises, this study examines the impacts of urban housing prices on value chain upgrading. We find that soaring housing prices in China since 2004 stunted industrial value chain upgrading, as indicated by the value-added rate. When housing prices increase by 100%, the enterprise value-added rate decreases by 12.4%. Intermediary mechanism analysis shows that housing price increases lead to innovation input suppression effects and resource misallocation effects, which in turn obstruct industrial value chain upgrading. Further analysis demonstrates that the impacts of housing price increases on industrial value chain upgrading, presenting an inverted-U shape, are varied in terms of time and region. Enterprises&rsquo; value chain upgrading also showcases different degrees of sensitivity to housing price increases, due to their respective features. The conclusions of this study carry significant policy implications for the sound development of the real estate market and industrial upgrading in China, as well as in developing countries at large

    Land Use Evolution and Land Ecological Security Evaluation Based on AHP-FCE Model: Evidence from China

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    China experienced rapid urbanization and socioeconomic development at an unusual rate during the past four decades. Against such background, land use evolution and land ecological security have both been affected in a volatile way. Therefore, it is necessary to investigate the land use and the land ecological security in China. However, the traditional assessment approaches have paid more attention to the environmental and economic factors than the sustainable development of ecology, which cannot comprehensively assess the land ecological security. From the perspective of ecological sustainable development, this study identifies 3 main factors and 17 sub-factors. We also construct a model to integrate the FCE approach with the AHP. The results show that from 2004 to 2017, China’s land use structure was unbalanced. The construction land, mining land, and cultivated land increased rapidly, leading to the shrinkage of ecological land. Moreover, the weight of the sustainable development of resources and the environment, economic sustainable development, social sustainable development are 0.3341, 0.3780, and 0.2879, respectively, demonstrating that economic sustainable development is the most important factor affecting land ecological security. Finally, although the value of comprehensive land ecological security in China has been on the rise from 2004 to 2017, it remains at an unsecured level. Moreover, the value of the sustainable development of resources and the environment has been declining since 2011 and is lower than the values of economic sustainable development and social sustainable development. This study demonstrates that more attention should be paid to enhancing land ecological security, especially promoting the sustainable development of resources and the environment

    Land Financialization, Uncoordinated Development of Population Urbanization and Land Urbanization, and Economic Growth: Evidence from China

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    In recent years, it has become common practice for Chinese local governments to inject land assets into financing platform companies and use them as mortgage or credit guarantees to obtain bank loans and issue urban investment bonds, which is known as &ldquo;land financialization&rdquo;. This study investigates the impact and mechanism of land financialization on the uncoordinated development of population urbanization and land urbanization in China. Theoretical analysis and empirical analysis results based on the data of prefecture-level cities in China from 2006 to 2015 demonstrate that land financialization by local governments is a significant cause of the uncoordinated development of population urbanization and land urbanization, and the pressure of urban economic development will strengthen this negative impact. Extended analysis further reveals that in areas where population urbanization and land urbanization are uncoordinated, land financialization, while promoting urban spatial expansion, will lower land use efficiency and have an inverted U-shaped influence on economic growth due to a weak agglomeration effect. The above conclusion shows that urbanization driven by debt-based investment is unsustainable. Efforts should be made to establish a financialization system that propels sound urbanization and to build a stable input linkage between land financialization and the supply of urban public service
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