Forested Land Use Efficiency in China: Spatiotemporal Patterns and Influencing Factors from 1999 to 2010

Yan-fen, HE; Xie, Hualin; Fan, Yichun; Wang, Wei; Xie, Xue

doi:10.3390/su8080772

Cited by 13 publications

(10 citation statements)

References 24 publications

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“…For the central region, the progress in forested land productivity derived mostly from improvements in efficiency. The change in the productivity of forested land in the western region resulted from the interactive effect of these two decompositions [6]. These findings imply that environmentally friendly green growth policies should be managed differently depending on the unique conditions of regional economic activities and their environmental settings.…”

Section: Governance Issues For the Sustainability Of Asiamentioning

confidence: 98%

“…Since this difference comes from a very complicated mixture of urbanization, economic development contexts, and population density (as shown in the model), it is not easy and effective for the central government to mitigate these differences. To mitigate this gap, Yafen He et al tried to examine the dynamic changes in the FLUE, and found that the productivity of forested land was always increasing, and that changes in the productivity of forested land in the eastern region derived mostly from technological advances [6]. For the central region, the progress in forested land productivity derived mostly from improvements in efficiency.…”

Section: Governance Issues For the Sustainability Of Asiamentioning

confidence: 99%

“…As one of issues related to urbanization, more attention needs to be paid to the efficient use of forested land; thus, Yafen He et al analyzed the forested land use efficiency (FLUE) and its spatiotemporal differences in China during the period from 1999 to 2010, using a global generalized directional distance function and global Malmquist-Luenberger index models [6]. They found obvious spatial differences in forested land use efficiency among 31 provinces, with Shanghai the best and Tibet, Inner Mongolia, and Qinghai the worst.…”

Section: Governance Issues For the Sustainability Of Asiamentioning

confidence: 99%

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Sustainable Governance in Northeast Asia: Challenges for the Sustainable Frontier

Choi

2017

Sustainability

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This Special Issue consists of selected papers from the annual international Sustainable Asia Conference (SAC) 2016, held on Jeju Island, South Korea, from 28 June to 2 July 2016. SAC 2016 is one of the leading international conferences for presenting novel and fundamental advances in sustainable development issues for Asia. In this special issue, most of the papers emphasize the importance of sustainable governance in harmonizing economic development with a healthier life, while enhancing the quality of all economic activities. The majority of papers in this special issue also deal with problems of urbanization, because the Northeast Asian countries are experiencing the transformation of their economic structure from quantitatively oriented development to the qualitative, highlighting socioeconomic performance. There has been a vast amount of discussion and many ideas put forward on sustainable development, but as the Marrakech Proclamation of COP 22 concluded in November 2016, it is now time to meet the practical challenges of sustainable development. This special edition will shed light on the action plan against global warming and environmental degradation.

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Section: Governance Issues For the Sustainability Of Asiamentioning

confidence: 98%

Section: Governance Issues For the Sustainability Of Asiamentioning

confidence: 99%

Section: Governance Issues For the Sustainability Of Asiamentioning

confidence: 99%

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Sustainable Governance in Northeast Asia: Challenges for the Sustainable Frontier

Choi

2017

Sustainability

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“…According to the data provided by the IPCC (2006), the world's productive lands (forests, grasslands, arable lands, gardens, and other agricultural lands) contain a large amount of carbon stock. The carbon storage of forests and grasslands accounts for 93% of the total carbon stock of productive lands [42][43][44]. In fact, the climate impacts are global and do not pertain only to the specific area where passengers generate the carbon emissions.…”

Section: Carbon Footprint Model For Passenger Transportmentioning

confidence: 99%

Ecological Pressure of Carbon Footprint in Passenger Transport: Spatio-Temporal Changes and Regional Disparities

Wang

Sun

et al. 2018

Sustainability

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Abstract:Passenger transport has become a significant producer of carbon emissions in China, thus strongly contributing to climate change. In this paper, we first propose a model of ecological pressure of the carbon footprint in passenger transport (EP cfpt ). In the model, the EP cfpt values of all the provinces and autonomous regions of China are calculated and analyzed during the period of 2006-2015. For the outlier EP cfpt values of Beijing, Shanghai and Tianjin, the research areas are classified into two scenarios: the first scenario (all the provinces and autonomous regions) and the second scenario (not including Beijing, Shanghai and Tianjin). The global spatial autocorrelation analysis of the first scenario shows that the EP cfpt might be randomly distributed, while it shows positive spatial autocorrelation in the second scenario. Furthermore, we carry out the local spatial autocorrelation analysis of the second scenario, and find that the low aggregation areas are the most common type and are mainly located in the west of China. Then the disparities in EP cfpt between China's Eight Comprehensive Economic Zones are further analyzed. Finally, we put forward a number of policy recommendations in relation to the spatio-temporal changes and the regional disparities of EP cfpt in China. This study provides related references for proposing effective policy measures to reduce the ecological pressure of carbon emissions from the passenger transport sector.

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“…The study found that the increase in TFP in the western region was mainly due to technological progress. The increase in TFP in the central region was mainly due to Sustainability 2018, 10,1932 4 of 32 the scale expanding [26]. Xie used the GML index to measure the TFP of cultivated land green use in China from 1995 to 2013 under the constraint of agricultural nonpoint source pollution and noted that improving production techniques and improving the ecological environment will help improve the TFP of cultivated land green use [27].…”

Section: Literature Reviewmentioning

confidence: 99%

Measuring the Cultivated Land Use Efficiency of the Main Grain-Producing Areas in China under the Constraints of Carbon Emissions and Agricultural Nonpoint Source Pollution

2018

Self Cite

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Abstract:The carbon emissions and agricultural nonpoint source pollution constraints were incorporated into the input-output index system, and the epsilon-based measure (EBM) super efficiency model and global Malmquist-Luenberger (GML) index were used to measure the cultivated land use efficiency and changes in the total factor productivity (TFP) of cultivated land use in the main grain-producing areas in China from 1993-2016. The results indicate that: (1) from 1993 to 2016, the cultivated land use efficiency in the main grain-producing areas in China showed a tendency to fluctuate and increase, with obvious stage characteristics; however, the overall level was not high.(2) There is a significant difference in the cultivated land use efficiency under the constraints of carbon emissions and nonpoint source pollution in the main grain-producing areas in the different provinces, and low-efficiency provinces have higher input redundancy and undesired output redundancy than high-efficiency provinces. It can be observed that input redundancy and undesired output redundancy have a significant negative effect on cultivated land use efficiency. (3) The TFP of cultivated land use under the constraints of carbon emissions and nonpoint source pollution in China's main grain-producing areas is estimated by the GML index. The results show that the TFP of cultivated land use in the main provinces in the main grain-producing regions is greater than 1, indicating that the productivity levels of all the provinces in China's main grain-producing areas are increasing. From the perspective of the power sources in each province, global pure technological change (GPTC) and global scale technological change (GSTC) are the main driving forces for the TFP of cultivated land use, while global pure efficiency change (GPEC) and global scale efficiency change (GSEC) are the bottlenecks for increasing the TFP of cultivated land use.

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Forested Land Use Efficiency in China: Spatiotemporal Patterns and Influencing Factors from 1999 to 2010

Cited by 13 publications

References 24 publications

Sustainable Governance in Northeast Asia: Challenges for the Sustainable Frontier

Sustainable Governance in Northeast Asia: Challenges for the Sustainable Frontier

Ecological Pressure of Carbon Footprint in Passenger Transport: Spatio-Temporal Changes and Regional Disparities

Measuring the Cultivated Land Use Efficiency of the Main Grain-Producing Areas in China under the Constraints of Carbon Emissions and Agricultural Nonpoint Source Pollution

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