Environment-biased technological progress and industrial land-use efficiency in China’s new normal

Song, Malin; Wang, Shuhong; Kai-ya, WU

doi:10.1007/s10479-016-2307-0

Cited by 49 publications

(28 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At the same time, the government's increased investment in environmental pollution control will inhibit output-biased technological advances. Contrary to the findings of Song et al [32], we find that incentive environmental regulations have a stronger effect on output-biased technological progress of marine economy than directive environmental regulations do. This shows that the government should adhere to the principle of source governance when formulating environmental policies in China.…”

Section: Analysis Of Influencing Factors For Biased Technological Procontrasting

confidence: 99%

“…At the same time, the different influences of directive or incentive environmental regulations on the inputbiased and output-biased technological progress are studied. Different from the influence of environmental regulations on the biased technological progress in the industrial field [32], this study shows that directive regulations can influence input-based technological progress, while incentive regulations are not conducive to promoting output-biased technological progress.…”

Section: Introductioncontrasting

confidence: 84%

“…First of all, environmental regulations (ER) in various regions will have an impact on the local biased technological progress of marine economy. According to Song et al [32], environmental regulations are usually divided into directives (such as pollution taxes) and incentive regulations (such as the handling of pollution). Therefore, we choose two indicators to measure the impact of environmental regulations.…”

Section: Indicator Selectionmentioning

confidence: 99%

See 2 more Smart Citations

Measurements and Factors of Biased Technological Progress in China’s Marine Economy

Kang¹,

Zou²,

Wang³

et al. 2020

Pol. J. Environ. Stud.

View full text Add to dashboard Cite

A new technology may be biased towards saving energy, or reducing pollution emission or increasing economic output. It is necessary for the high-quality development of marine economy to promote environment-based technological progress. The purpose of this paper is to estimate the biased technological progress and its influencing factors of China's marine economy from 2002 to 2016. We used a DEA-Malmquist model to measure the biased technological progress. Then we further analyzed influencing factors of biased technological progress. Our research found that the TFP of the marine economy was basically growing, and this growth was mainly due to a positive impact of technological progress. In general, the technological progress of marine economy is gradually biased towards energy conservation and emissions reduction. Furthermore, technological progress in the Yangtze River Delta are more conducive to energy conservation. The marine economic production in the Pan-Pearl River Delta is more inclined to promote production growth, while tit is most concerned about environmental protection in the Bohai Rim region. In addition, factors such as environmental regulation, economic level, FDI and industrial scale have different impacts on biased technological progress of marine economy. The results show that the directive regulations have a greater impact on the input-biased technological progress, while the incentive regulations have a greater impact on the output-biased technological progress. Therefore, this study has important guiding significance for energy conservation and emission reduction of marine economy in China. And the green development path of China's marine economy can provide a reference for the development of European blue economy.

show abstract

Section: Analysis Of Influencing Factors For Biased Technological Procontrasting

confidence: 99%

Section: Introductioncontrasting

confidence: 84%

Section: Indicator Selectionmentioning

confidence: 99%

See 1 more Smart Citation

Measurements and Factors of Biased Technological Progress in China’s Marine Economy

Kang¹,

Zou²,

Wang³

et al. 2020

Pol. J. Environ. Stud.

View full text Add to dashboard Cite

show abstract

“…Industrial land volume rate is generally only 0.3-0.6, far below the average level of 1.0 in developed countries, and the output of industrial land is also prominently low. Due to the increasing restriction of land resources, the improvement of land use efficiency will be a crucial issue for China to enter into its economic new normal and achieve sustainable development [21,22].…”

Section: Introductionmentioning

confidence: 99%

“…Meanwhile, high-tech industry plays a positive role in promoting industrial upgrading and industrialization [28]. In addition, foreign direct investment has a direct impact on the development of China's industrial economy and has obvious regional differences [22,25,29]. Therefore, the gap in industrial development has directly affected the industrial land use efficiency in different regions of China [30][31][32].…”

Section: Introductionmentioning

confidence: 99%

A Novel Efficiency Measure Model for Industrial Land Use Based on Subvector Data Envelope Analysis and Spatial Analysis Method

Chen

2017

Complexity

View full text Add to dashboard Cite

With the rapid and unbalanced development of industry, a large amount of cultivated land is converted into industrial land with lower efficiency. The existing research is extensively concerned with industrial land use and industrial development in isolation, but little attention has been paid to the relationship between them. To help address this gap, the paper creates a new efficiency measure method for industrial land use combining Subvector Data Envelope Analysis (DEA) with spatial analysis approach. The proposed model has been verified by using the industrial land use data of 30 Chinese provinces from 2001 to 2013. The spatial autocorrelation relationship between industrial development and industrial land use efficiency is explored. Furthermore, this paper examines the effects of industrial development on industrial land use efficiency by spatial panel data model. The results indicate that the industrial land use efficiency and the industrial development level in the provinces of eastern region are higher than those of the western region. The spatial distribution of industrial land use efficiency shows remarkable positive spatial autocorrelation. However, the level of industrial development has obvious negative spatial autocorrelation since 2009. The improvement of industrial development has a significant positive impact on the industrial land use efficiency.

show abstract

Impacts of lead time reduction on fabric sourcing in apparel production with yield and environmental considerations

Choi

Cai

2018

Ann Oper Res

View full text Add to dashboard Cite

Environment-biased technological progress and industrial land-use efficiency in China’s new normal

Cited by 49 publications

References 21 publications

Measurements and Factors of Biased Technological Progress in China’s Marine Economy

Measurements and Factors of Biased Technological Progress in China’s Marine Economy

A Novel Efficiency Measure Model for Industrial Land Use Based on Subvector Data Envelope Analysis and Spatial Analysis Method

Impacts of lead time reduction on fabric sourcing in apparel production with yield and environmental considerations

Contact Info

Product

Resources

About