Temporal-spatial differences in and influencing factors of agricultural eco-efficiency in Shandong Province, China

Xu, Yuanzhi; Wang, Liang

doi:10.1590/0103-8478cr20190818

Cited by 15 publications

(8 citation statements)

References 4 publications

(3 reference statements)

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“…1). Shandong Province is a largely agricultural province (Yanlin et al, 2020). The province becomes the rst province in China with a total agricultural output value of more than one trillion yuan in 2020, reaching 1019.06 billion yuan.…”

Section: Study Area and Datamentioning

confidence: 99%

Agricultural Drought Disaster Risk Assessment in Shandong, China

Yang

Zhang

Liang

2022

Preprint

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Shandong Province, the main grain-producing area in China, has ranked first in China in terms of total agricultural output value for many years. However, droughts with high frequency and long duration have been hindering local agricultural production. This paper aims to assess the risk of drought disaster in Shandong Province. Based on the natural disaster system theory, an agricultural drought disaster risk assessment model is developed. This model is applied to assess the agricultural drought hazard, exposure, vulnerability, emergency response and recovery capability, and comprehensive agricultural drought disaster risk year by year from 2012 to 2019. The results show that: (1) There is an aridity trend in Shandong Province. The interannual variation of drought hazard is obvious, and the areas with high drought hazard levels are largely located in the eastern part. (2) Agricultural exposure and vulnerability are mainly concentrated in the western part of Shandong Province. With the decrease in the proportion of the rural population, there is a slight downward trend of agricultural exposure. (3) The interannual variation of emergency response and recovery capability in Shandong Province is relatively stable. Agricultural insurance premiums in all regions have a clear upward trend, which is helpful for disaster risk reduction. (4) Rizhao has been in a high-risk area, moreover, Binzhou, Dezhou, and Liaocheng have gradually become high-risk areas in recent years. The interannual variation characteristics and spatial zoning of agricultural drought risk are explored, it is instructive for risk decision-makers to better develop drought response measures and improve drought resilience.

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Section: Study Area and Datamentioning

confidence: 99%

Agricultural Drought Disaster Risk Assessment in Shandong, China

Yang

Zhang

Liang

2022

Preprint

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“…However, the increase in mechanical power was only 20.56% of the national average. Although these areas enjoy unique natural advantage of flat terrain and rich farmland resources, affected by the traditional small farmer production mode, arable land patches are mostly fragmented and large-scale mechanized farming is inadequate [47,48]. In addition, the groundwater funnel caused by excessive groundwater exploitation for irrigation will also force these areas to seek water-saving arable land use patterns [49].…”

Section: Differences In the Recessive Transfortion Of Arable Land Usementioning

confidence: 99%

Recessive Transition Mechanism of Arable Land Use Based on the Perspective of Coupling Coordination of Input–Output: A Case Study of 31 Provinces in China

Liu

Yin

Yue

et al. 2021

Land

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In the rapid process of urbanization in China, arable land resources are faced with dual challenges in terms of quantity and quality. Starting with the change in the coupling coordination relationship between the input and output on arable land, this study applies an evaluation model of the degree of coupling coordination between the input and output (D_CCIO) on arable land and deeply analyzes the recessive transition mechanism and internal differences in arable land use modes in 31 provinces on mainland China. The results show that the total amount and the amount per unit area of the input and output on arable land in China have presented different spatio-temporal trends, along with the mismatched movement of the spatial barycenter. Although the D_CCIO on arable land increases slowly as a whole, 31 provinces show different recessive transition mechanisms of arable land use, which is hidden in the internal changes in the input–output structure. The results of this study highlight the different recessive transition patterns of arable land use in different provinces of China, which points to the outlook for higher technical input, optimized planting structure, and the coordination of human-land relationships.

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“…67 Yet applause could become booing when impatient children clapped to cut short cadre speeches. 68 Bored by repetitive and predictable films, audiences sometimes shouted lines before they were uttered onscreen. 69 Even disruptive mechanical noise could give rise to humor and parody that subverted propaganda messages.…”

Section: Ears and Mouths: Sounding Hot Noisementioning

confidence: 99%

The Hot Noise of Open-Air Cinema

Li¹

2020

Grey Room

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Temporal-spatial differences in and influencing factors of agricultural eco-efficiency in Shandong Province, China

Cited by 15 publications

References 4 publications

Agricultural Drought Disaster Risk Assessment in Shandong, China

Agricultural Drought Disaster Risk Assessment in Shandong, China

Recessive Transition Mechanism of Arable Land Use Based on the Perspective of Coupling Coordination of Input–Output: A Case Study of 31 Provinces in China

The Hot Noise of Open-Air Cinema

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