[Retracted] Low Carbon Economy Assessment in China Using the Super‐SBM Model

Abstract

This review proposes a performance evaluation system of low-carbon economic development based on multiobjective analysis in low-carbon environment. This is a modeling method combining super efficiency and relaxation-based measurement model (super-SBM model), which can effectively measure green innovation efficiency with unexpected outputs and traditional innovation efficiency without unexpected outputs. Using the Malmquist–Luenberger index method to dynamically analyze the efficiency of green innovation, a multiobjective model is obtained, including economic scheduling target considering wind power cost and low-carbon scheduling target considering carbon trading. The efficiency of green innovation considering unexpected output is obviously lower than that of traditional innovation without considering unexpected output. This phenomenon is more pronounced in some areas of central and western China. Technical efficiency improves the innovation level of environmental protection economy in China and the impact of technological progress is greater than that of technical efficiency. In this review, the output super SBM model is used to study the development of China's low-carbon industry, and the correlation between the prediction model and the performance change of low-carbon economic development is analyzed. The Malmquist–Luenberger (ML) index of environmental protection product development efficiency in China is not less than 1. Due to the improvement of the efficiency of scientific and technological development, the combination of the two will eventually lead to the improvement of the development of green products and environmental economic products in China. Combining with the empirical analysis, this paper puts forward some methods to promote the low-carbon economy in the economic zone.

A preliminary study on the evaluation index system of low carbon city development level

“…On this basis, the evaluation indicator system is elaborated according to the specific requirements of the different levels. It also defines the scope of the evaluation indicators, clarifies the interlinkages between indicators, and improves the data acquisition and processing to ensure that the evaluation indicator system is scientific and operational, providing a scientific evaluation method and decision support for the sustainable development of low carbon cities [9][10].…”

Probe into the Low‐Carbon Economic Environment Challenges and Opportunities of Textile and Garment Export

“…Chinese mouths are very large, but there is always an unbalanced system between the manufacturing system and the trading system of the textile industry, that is, oversupply. In order to obtain relevant profits, it is necessary to export a lot of textile products [14] Part of the textiles is the domestic resources produced and manufactured, many of which consume limited resources. The state has introduced the current policy of accelerating the replacement of some backward production capacity enterprises and technologies, but the corresponding problems such as outdated machinery and equipment, low production and manufacturing efficiency, and insufficient staffing have not been dealt with in essence, which limits printing and dyeing: the development of the industry and the pace of China's development trend towards a "green and low-carbon economy".…”

Is the Cohesion Policy Efficient in Supporting the Transition to a Low-Carbon Economy? Some Insights with Value-Based Data Envelopment Analysis

“…From the systematic literature search presented, it can be ascertained that there is a lack of scholarly attention on the topics related to LCE using the DEA methodology in Europe. The majority of the studies found in the literature, which focused on this topic using the DEA methodology are mostly circumscribed to China and employ the SBM model (e.g., [5][6][7][8][9]-see Table 1. In effect, nonparametric approaches, such as DEA, can be particularly useful when contrasted with other evaluation approaches because they allow handling a multitude of criteria in efficiency assessment and do not require a specific functional form.…”