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With the completion of the poverty alleviation task in China, the Chinese economy has made great breakthroughs. Meanwhile, the implementation of Chinese "dual carbon" goal has entered an important window period of both strategic opportunities and difficulties. The emission of carbon dioxide (CO2) leads to the greenhouse effect, which affects the sustainable development of society. Therefore, this paper proposes an improved analytic hierarchy process (AHP) with Slacks-based measure integrating data envelopment analysis (SBMDEA) (AHP-SBMDEA) based efficiency evaluation model for different provincial-level administrative regions in China, which is used to analyze and optimize the Chinese energy structure of different provincial-level administrative regions. With coal, gasoline, petroleum, fuel oil, diesel, crude oil and natural gas as inputs, the per capita Gross Domestic Product (GDP) as the desired output and the CO2 as the undesired output, after linear weighted calculation of the results of the AHP-SP model and the SBMDEA model, the energy efficiency evaluation model of different provincial administrative regions in China is established. The results show that there is a large difference in efficiency between Chinese northern and southern regions, and the overall efficiency of southern regions is higher than that of northern regions. In addition, it is easier to find out the optimal energy efficiency benchmark, which can provide suggestions and help to guide the energy consumption input structure improvement of other inefficient provincial-level administrative regions. Furthermore, the energy structure can also be adjusted through the redundant variable calculated by the SBMDEA model. For example, Sichuan Province can reduce the consumption of the coal, the gasoline, the diesel, the fuel oil, the crude oil and the natural gas by 5269.95 × 10000 tons (WT), 513.01 WT, 59.05 WT, 34.37 WT, 4,73.33 WT and 130.37 billion cubic meters (BCM), respectively. Its CO2 emissions can be reduced by 1925.4 WT, and raise the efficiency of energy utilization in the province. [Display omitted] • Novel economy and CO 2 emissions evolution model based on a AHP-SBMDEA is proposed. • The proposed model can identify the optimal energy efficiency benchmark. • GDP per capita can be increased and CO 2 emissions can be decreased. [ABSTRACT FROM AUTHOR]

Binding material is a key component of painted cultural relics, and research on binding agents ("binders") is of great significance for the study of the history and preservation of cultural artefacts. In this work, our team collected 129 painted samples from 28 ancient cultural relics located in 9 provinces of China. We used an enzyme-linked immunosorbent assay (ELISA) as well as immunofluorescence microscopy (IFM) to identify proteinous binders in these samples. Our results show that 51 painted samples were found to contain animal glue, 13 samples were found to contain egg ovalbumin, and 2 samples were found to contain casein. Two mural painting samples prepared in the Ming and Qing Dynasties (14–20 century AD) from the Jiazaerjia Mountain Grottoes in Sichuan province were found to contain casein, and this is the first time that casein binders were found in Chinese painted cultural relics. On top of our detection results, this paper also reports statistics on the chronology, geographical distribution, and artwork types in which organic binders are found, and provides evidence of the use of proteinous binders in Chinese painted cultural relics. [ABSTRACT FROM AUTHOR]

Coordinating the relationship between the national pipeline network company and the provincial natural gas company is the most crucial contradiction in China's natural gas market reform. This paper innovatively incorporates the comprehensive evaluation method, modified spatial gravity model, and social network analysis method to investigate the regional natural gas market to solve this dilemma. The result of the case study is as follows. (1) The development of the natural gas market in China's provinces is uneven, among which resourceful provinces and eastern provinces are relatively strong. (2) The densely connected areas of the natural gas market are mainly concentrated in the Beijing-Tianjin-Hebei region, the Yangtze-River-Delta region, and the Sichuan-Chongqing region. (3) Our work can clarify the node attributes and different efficacy of provinces. The core provinces all belong to the net spillover block, and they are located at key positions and roles in the obtained spatial correlation network. (4) Market participants, commodity diversification and openness are the prominent factors influencing the proposed spatial correlation network. This paper's major achievement is the reasonable division of five regional natural gas markets. The conclusion can help policymakers clarify the overall natural gas market spatial pattern and provinces' market potential and functions. • This article analyzes the construction plan of regional natural gas market in China. • We builded a comprehensive quality evaluation system for the natural gas market. • We used the modified spatial gravity model to calculate the interprovincial natural gas spatial influence. • We used centrality and structural holes to analyse individual network attributes. • We applied edge-core structure and block model to analyse the overall network structure. [ABSTRACT FROM AUTHOR]

Chinese anti-poverty policy stresses the long-term structural nature of rural poverty. This paper shows that poverty in rural Sichuan during 1991–95 was both dynamic and persistent. A new measure of chronic poverty is defined––as a high vulnerability to being poor––and compared with traditional interpretations of chronic poverty as low mean consumption. Households are highly vulnerable to falling into poverty even when their average consumption is some distance above the poverty line. The determinants of low mean consumption and high vulnerability appear however to be similar suggesting that policies to increase mean consumption will also reduce vulnerability. [Copyright &y& Elsevier]