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Volume 23 Number 2 June 2024
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Editorial
 
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Research
46 Predicting the Productivity of China’s Building Sector and the Elements that Affect it Using the DEA-Tobit Framework-
 
Guang Cheng
 

DOIhttps://doi.org/10.6025/jdim/2024/22/2/46-55
 

 

 

 

 

 

ABSTRACT:The total output value of the construction industry, a pillar industry of China, is continuously growing with the expansion of the production and operation scale of Chinese construction enterprises. The extensive high-input mode has promoted the economic growth of the construction industry. Despite the fruitful and outstanding results, production inefficiency has become especially prominent. Though developing rapidly, China’s construction industry possesses fewer ecological investments, accompanied by low environmental awareness and little importance to environmental protection, constantly failing to eliminate high energy consumption, high investments, and high emissions. In addition, the contradiction between the economic growth of the construction industry and the ecological environment remains evident. In this paper, the production efficiency of China’s construction industry was transversely and longitudinally measured using the DEA-Malmquist index method, followed by a further analysis of the factors influencing the production efficiency of China’s construction industry based on the Tobit regression model. The results show that the average production efficiency of China’s construction industry is the highest in the East, moderate in the West, and lowest in the centre. The number of construction enterprises, per capita capital, industrial structure, the proportion of state-owned capitals, and GDP are significant at 1%, 10%, 1%, 1%, and 1%, respectively. The research results can provide theoretical reference for reasonably establishing an ecological efficiency evaluation system for the construction industry to analyze the differences in environmental efficiency among different provinces and regions, further find out the key factors influencing ecological efficiency, propose the corresponding pertinent policy suggestions, and ultimately improve the ecological efficiency of China’s construction industry.
 
 

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56 Urban Rainwater Management and Protection Through Optimization for Multiple Goals-
 
Yong L
 

DOIhttps://doi.org/10.6025/jdim/2024/22/2/56-62
 

 

 

 

ABSTRACT: With the continuous acceleration of urbanization, urban rainwater management has become an increasingly important issue. In the process of urbanization, the increase in impervious area and insufficient drainage systems have led to an increase in rainwater runoff and a risk of water quality deterioration. This article explores the application of multi-objective optimization in landscape urban rainwater design and defense. Against the backdrop of accelerating urbanization, rainwater management has become an important issue. By introducing multi-objective optimization methods, the aim is to seek a more comprehensive and effective rainwater design solution to address the impact of urbanization on rainwater.
 
 

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63
Evaluation of Local Green Supply Chain Performance Using a Three-Phase Data Envelopment Analysis (DEA) Model and Malmquist Efficiency Framework-
       
Bo Zhao

 

DOIhttps://doi.org/10.6025/jdim/2024/22/2/56-62
 

 

 

 

 

ABSTRACT: Regional synergistic development and lowcarbon economy are China's current themes of regional economic development. Based on the background of lowcarbon development, the relevant data of the Ningbo metropolitan area from 2017 to 2022 are selected, and the three-stage DEA model and Malmquist model are used to measure the low-carbon logistics efficiency of Ningbo metropolitan area region from static and dynamic dimensions, respectively. The results show that regional economic development, residents’ consumption and research and development expenditures have a certain impact on the measurement of low-carbon logistics efficiency in Ningbo metropolitan area. From the static perspective, the low-carbon logistics efficiency of Ningbo metropolitan area has reached the ideal state. Still, the overall lowcarbon logistics efficiency of Ningbo metropolitan area has not reached the optimal state. There is still room for upward mobility, mainly due to the fact that the scale of the logistics industry has room for upgrading. From a dynamic point of view, technological progress promotes the development of low-carbon logistics efficiency.
 

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