• Energy Research
• Closed Access close
• Open Source close
• 1. No poverty close
• Chinese Academy of Sciences close

Xuanwei City (formerly known as Xuanwei County) locates in the northeastern of Yunnan Province and is rich in coal, iron, copper and other mines, especially the smoky (bituminous) coal. Unfortunately, the lung cancer morbidity and mortality rates in this region are among China's highest, with a clear upward trend from the mid-1970s to mid-2000s. In 2004-2005, the crude death rate of lung cancer was 91.3 per 100,000 in the whole Xuanwei City, while that for Laibin Town in this city was 241.14 per 100,000. The epidemiologic distribution (clustering patterns by population, time, and space) of lung cancer in Xuanwei has some special features, e.g., high incidence in rural areas, high incidence in females, and an early age peak in lung cancer deaths. The main factor that associates with a high rate of lung cancer incidence was found to be indoor air pollution caused by the indoor burning of smoky coal. To a certain extent, genetic defects are also associated with the high incidence of lung cancer in Xuanwei. Taken together, lung cancer in this smoky coal combustion region is a unique model for environmental factor-related human cancer, and the current studies indicate that abandoning the use of smoky coal is the key to diminish lung cancer morbidity and mortality.

Abstract Although the “resource curse” hypothesis has been supported by many empirical studies focusing on the transnational and regional levels, there has always been a point of contention about the proper method of estimating and selecting natural resource indicators in literature. This paper proposes a mixed estimation method for panel data of 10 typical oil and gas resource-based cities in China from 1998 to 2015. The results show that resource industry agglomeration can mirror the distribution and dependence on the resource industry by location rather than by merely measuring the influence of the relative scale of resource extraction on economic growth. Using resource industry agglomeration as the main explanatory variable for regional economic growth verifies the resource curse hypothesis and shows the nonlinear characteristics of the negative correlation between resources and economic growth. Despite mostly similar indicator parameter estimates, marked differences exist in measured effects for material capital investments and technological innovation investments. The result of using resource industry agglomeration as the main explanatory variable is basically consistent with the economic theory and is more in line with observed reality than the alternative indicator. The research conclusions can provide evidence and data for index selection in the studies on the mediating effect of resource curse transmission and international comparison.

Abstract The development of the regional economy in China is unbalanced. Interregional "carbon leakage" and "carbon transfer" have a significant impact on the realization of carbon emission mitigation targets and the allocation of responsibility. Using China's interregional input-output tables and the corresponding carbon emission data for 2007 and 2010, this paper proposes an interregional Ghosh input-output model and estimates the amount of interprovincial carbon emission transfer from the supply-side perspective. We find that the main direction of supply-side carbon emission transfer is from resource-intensive provinces in the central and western regions to developed provinces in the eastern coastal regions. Further analysis shows that the transfer is mainly concentrated in the production and distribution of electricity and heat, nonmetallic mineral products, and basic metals, whose carbon emissions account for approximately 70% of all sectors’ carbon emissions. The differences between the supply side and the demand side of China's provinces are mainly reflected in the transfer out of carbon emissions.

Two kinds of disparities pervade China and threaten its well-being. The first, regional disparities focus on levels of economic development, which vary considerably across China. The second is largely a corollary of the first, referring to mismatch in energy supply and demand, with some places suffering severe shortages while others are blessed with significant surpluses. Western China enjoys the dubious distinction of recording the country's lowest levels of economic development while, paradoxically, being blessed with plentiful reserves of energy and non-energy minerals. Turning those surplus resources to good account through transferring them to minerals and energy-hungry Eastern China is seen by policy-makers as something of a panacea. Not only will such a strategy significantly boost Western China's economic prospects, but it will eliminate the resource shortages currently constraining the East's vibrant growth. The issues of regional disparities, energy mismatches and transfers of these resources are discussed, with attention given to both spatial and time perspectives. The paper concludes with a cautious endorsement of the policy initiatives that promote the strategy of mineral transfers.

Abstract Millions of tonnes (teragrams) of plastic waste are traded around the world every year, which plays an important role in partially substituting virgin plastics as a source of raw materials in plastic product manufacturing. In this paper, global plastic waste trade networks (GPWTNs) from 1988 to 2017 are established using the UN-Comtrade database. The spatiotemporal evolution of the GPWTNs is analyzed. Attention is given to the country ranks, inter- and intra-continental trade flows, and geo-visual communities in the GPWTNs. We also evaluate the direct and indirect impacts of China’s plastic waste import ban on the GPWTNs. The results show that the GPWTNs have small-world and scale-free properties and a core-periphery structure. The geography of the plastic waste trade is structured by Asia as the dominant importer and North America and Europe as the largest sources of plastic waste. China is the unrivaled colossus in the global plastic waste trade. After China’s import ban, the plastic waste trade flows have been largely redirected to Southeast Asian countries. Compared with import countries, export countries are more important for the robustness of GPWTNs. Clearly, developed countries will not announce bans on plastic waste exports; these countries have strong motivation to continue to shift plastic waste to poorer countries. However, the import bans from developing countries will compel developed countries to build new disposal facilities and deal with their plastic waste domestically.

Abstract With the increasing urbanization but growing resource scarcities, the securing provision of fundamental resources as food, energy and water (FEW) has become a unique challenge for urban sustainability. This is not only because of continuous demand of resource imports from different regions for urban areas, but also due to the complex interrelationships among FEW systems. In such context, exploring the interactions between FEW resources and economic activities when investigating FEW provisions to meet urban demand through trade is very essential to find effective policy intervention points and priority areas for actions. This paper investigates external binding FEW resource flows with internal certain interlinkages driven by final demand of Beijing city at different nodes along their supply chains, by combing structural path analysis and multi-regional input-output model of China 2010. The results show that the key source regions present overall neighborhood pattern that Hebei, Inner Mongolia, Anhui, Jiangsu, and Shandong near Beijing are the five leading contributors of tran-regional FEW provisions. The top 20 nexus paths are identified and the most important nexus pathways start with the other services in Beijing. Besides this, the critical supply chains appear divergent directions for FEW flows, driven by food, construction and agriculture industries respectively. Moreover, the key nodes mainly concentrate on less developed regions and energy-related sectors. For example, non-metal products manufacturing in Hebei, petroleum refining and coking in Heilongjiang, and coal mining and washing in Inner Mongolia have larger impacts on all of FEW flows across the supply chains. These results are very informative to targeting our efforts to address the urban FEW nexus issue both from the perspective of supply side and demand side.

Abstract This paper explores the quantile-specific short- and long-term impacts of political risk and crude oil on stock price, and tests whether the effects are different for China and the US. The recently developed method of the QARDL by Cho et al. (2015) is used to address this issue by considering any nonlinear, asymmetric and endogenous characteristics. Empirical results show that the impacts of political risk and oil price are heterogeneous across distinct stock market circumstances and economic development levels. Before 2008 crisis, Chinese stock performance is mainly positively affected by itself, whereas crude oil shock plays a vital role in the US stock in the short term; in the long term, the effects of crude oil and political risk on the Chinese stock market are significant at few quantile, while crude oil shock has an optimistic influence on the US stock when the market is bullish or bearish. After the crisis, the influence of political risk becomes more remarkable, especially for China. An interesting phenomenon is that the past performance of US stock negatively affects the current stock at medium and high quantiles. Besides, the impact mechanisms of political risk on these two stocks appear quite different characteristics. Almost all individual components can not do much on the US market. However, the effects of individual components on Chinese stock differ according to the market environments. In the pre-crisis period, the impacts of all components except government actions and investment profile abide by the classic risk-return relationship. Whereas, exactly the opposite happens after the crisis. A decrease in most of political risk components is associated with higher stock price, supporting the political risk paradox. These empirical evidences provide further insight into how political risk and crude oil shocks transmit to stock market.

Abstract China's economy is now growing fast; as is the increase in requirements of energy and CO 2 emission. The coming into force of the Kyoto Protocol confronts China with a realistic and tough challenge. The disregard of the environment is one of the major causes of the current severe status of China's pollution. Carbon tax could be an ideal economic tool to deal with the post-Kyoto pressure that China is faced with. However, the foundation and implementation of a carbon tax policy would be complex. One of the primary negative effects of carbon tax would be its potential strike on the international competitiveness of energy-intensive sectors. This study established a computable general equilibrium model simulating a carbon tax policy in China, and compared the macroeconomic effects of different carbon tax schemes as well as their impact on the energy- and trade-intensive sectors. The results show that the negative impact of carbon tax on the economy, and on the energy- and trade-intensive sectors, could be alleviated through properly relieving or subsidizing production sectors. One approach of taxing is to combine the tax exemption for energy- and trade-intensive sectors with the reimbursement of tax revenue to the un-exempted sectors.

Abstract Green electricity is an effective approach to mitigate greenhouse gas emissions without damaging economic development. One effective measure to boost its development is to increase the awareness of residents about sustainable development and to increase their willingness to pay (WTP). This study applies a contingent valuation method to investigate the WTP of residents in Tianjin, China for green electricity. It uses a logit model to test whether the respondents have WTP. In addition to the factors affecting the respondents’ viewpoints frequently discussed in previous studies, this paper has also considered the influence of high prevalence of respiratory disease. Furthermore, it employs a multiple regression model to identify the factors that significantly affected the WTP. According to a sample of 468 respondents, most residents have positive WTP with an average value of CNY 32.63 per month. The main driving factors for a positive WTP are knowledge of renewable energy, belief towards the government, behavior, education, history of respiratory disease and others. The factors affecting the value of WTP include income, belief, disease, gender and age, and the first three factors often have positive influences while the last one has negative impact. Furthermore, males tend to have a higher WTP than females.