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With the rapid development of urbanization and economic growth, urban agglomerations have become an effective way to realize resource sharing and reduce environmental dependence. This paper focuses on the cities within an urban agglomeration and analyzes the spatial characteristics of green development and its influencing factors. Considering the spatial correlation and dependence of green development, this paper proposes a methodology for the spatial analysis of area green efficiency (AGE) and total factor productivity change (TFPC) using a two-level hierarchical framework including diversity and correlation. This approach was tested using an urban agglomeration in China, and the results reveal that AGE varies greatly among cities and that the changing trend is related to the government's regional planning. TFPC presents a significant negative spatial correlation, indicating that the heterogeneity between cities is obvious. The serious problems in the green development of the Shandong Peninsula are due to the improper structure of export products and the insufficient contribution of tertiary industry. Proper policy instruments could improve area green development within an urban agglomeration, including policies promoting closed networks among cities, measures readjusting the industrial structure, and strategies for optimizing the development of tertiary industry according to the characteristics and advantages of each city. • A methodology is put forward for the spatial analysis of area green development. • Area green development in urban agglomeration shows significant spatial correlation. • The importance of influencing factors varies in different regions and time periods. • Optimizing spatial structure and factor input could improve area green development. [ABSTRACT FROM AUTHOR]

The implementation of Cleaner Production (CP) is a strategy for achieving a corporate's sustainable development and therefore is an important instrument for improving environmental performance. Due to the rapid economic development and urbanization in China, the stone processing industry is developing fast, resulting in several environmental problems. The stone processing sector has begun to implement the CP technologies and practices to tackle with environmental problems caused by the production process. However, the evaluation methodologies of the effectiveness of CP implementation in this sector have rarely been examined in the literature. This paper proposed a CP evaluation system that enables decision-makers to quantitatively evaluate the effectiveness of CP in the stone processing industry. A three-level framework was structured with 6 first-grade indicators and 24 sub-indicators according to the context and characteristics of the stone processing production. And the evaluation criteria were closely related to the laws, rules, regulations and discharge standards in China as well as the current CP technology level. Using analytical hierarchy process and fuzzy membership degree analysis, the weights of each indicators were determined, and evaluation results were achieved. Moreover, the evaluation methodology was verified to be reasonable and practical in the case study of a stone processing firm in Shandong Province. The entire and detailed assessment results demonstrate that the evaluation methodology is helpful in providing guidelines for the implementation of CP strategy in the industry of stone processing. [ABSTRACT FROM AUTHOR]

In recent years, China's fisheries economy has expanded dramatically. As a result, environmental pollution caused at least partially by such an expansion has endangered human health and the sustainable development of fisheries in some coastal regions. This paper establishes an indicator system for fisheries economic growth and environmental quality and evaluates the coordinated level of the two systems in 12 regions in China. Results show that i) it is necessary to expand the relative scale of fisheries economy, optimize the structure of fisheries industry, and improve the utilization capacity of pollutants; ii) the selected regions are evaluated as half each the fisheries economic lagging type and the environmental lagging type; iii) most of the selected regions exhibit a high coupling coordination degree, and the highest of those is Shandong. In the last section, the policy implications and further research directions are discussed. • The coupling coordination degree of fisheries economic and eco-environment systems is evaluated. • The selected regions are evaluated to be half each of the fisheries economic lagging and environmental lagging types. • Most selected regions exhibit a high coupling coordination degree, and Shandong's is the highest one. [ABSTRACT FROM AUTHOR]