Quality Perspective on the Dynamic Balance of Cultivated Land in Wenzhou, China

Lin, Lin; Ye, Ziran; Gan, Muye; Shahtahmassebi, Amir Reza; Weston, Melanie Valerie; Deng, Jinsong; Lu, Shenggao; Wang, Ke

doi:10.3390/su9010095

Cited by 28 publications

(22 citation statements)

References 46 publications

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“…Due to sterile soil and complex topographic and geographic conditions, the use of cropland is relevant for poverty alleviation and sustainable socioeconomic development [3], which promote the rapid transition of cropland use. Extant related research of cropland use has focused on changes in quantity [4], quality [5], and productivity [6]. In terms of research scale, most studies have concentrated on the macro [7] and middle scale [8].…”

Section: Introductionmentioning

confidence: 99%

Cropland Use Transitions and Their Driving Factors in Poverty-Stricken Counties of Western Hubei Province, China

Xiang

Song

2019

Sustainability

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Agriculture is important for economic development in most poverty-stricken areas in China, but cropland use is facing challenges due to rapid industrialization and urbanization, causing serious issues for poverty alleviation and sustainable socioeconomic development. Cropland Use Transition (CUT) is one way to alleviate poverty and develop the economy in poverty-stricken areas. This paper chose 16 typical poverty-stricken counties in Western Hubei province as the case area. A morphology index system was established to evaluate CUT, and geographic information system software was used to analyze the temporal-spatial variations in CUT. Using the Radial Basis Function Neural Network (RBFNN) model, contributions of driving factors of population, economy, and industrial structure to CUT were analyzed. The results show that: (1) cropland use morphology can be divided into functional morphology and spatial morphology; (2) the spatial distribution of CUT was high in the north and low in the south, the temporal variation of CUT from 1995 to 2013 showed fluctuations, and the coefficient of CUT changed from 0.460 to 0.649 with a growth rate of 41%; (3) for the driving factors, population factors most significantly contributed to CUT, followed by industrial structure and economic factors. The results obtained in this study are in line with the findings of previous studies. The RBFNN model is suitable for evaluating the contributions of driving factors, which can solve the deficiency in previous studies caused by ignoring the internal relationship and target orientation of driving factors. This study suggests that poverty-stricken counties should narrow the urban–rural divide, encourage balanced labor and investment flow into cropland by formulating relevant economic policies, motivate farmers’ agricultural engagement, and use science and technology to promote CUT and the growth of the agricultural economy, poverty alleviation, and to coordinate urban–rural development.

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Section: Introductionmentioning

confidence: 99%

Cropland Use Transitions and Their Driving Factors in Poverty-Stricken Counties of Western Hubei Province, China

Xiang

Song

2019

Sustainability

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“…The cultivated land area was reduced by 12.9%, from its highest amount of 124.88 million hectares in 1991 to 108.49 million hectares in 2007. Having realized the magnitude of cultivated land loss, central government proposed minimum cultivated area requirements in every province [27]. After that, the downward trend eased due to an array of measures designed to protect the cultivated land [28].…”

Section: Land Expropriation Is Unsustainablementioning

confidence: 99%

Is There a Kuznets Curve Effect for China’s Land-Driven Development Mode?

Zhang

Song

2019

Sustainability

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This paper empirically investigates whether the contribution of land-driven development to economic growth has declined along with the Kuznets curve hypothesis by using a nonlinear dynamic model. Over the past 40 years, Chinese local governments have raised commercial–residential land prices, mortgaged reserve land to gain valuable funds to facilitate urban construction and then improve urbanization, and driven down industrial land prices to attract foreign direct investment (FDI) and promote industrialization. By controlling the land market, this typical land-driven development mode has played a significant role in the process of local industrialization and urbanization. However, with the change in cities' internal and external conditions, many problems hidden in this mechanism have begun to emerge. The results from the dynamic panel data method reveal that, at the national level, the effect of land supply on local economies initially indicates an increase and then a drop, which is an inverted U-shaped curve, or the Kuznets curve effect. The impact of land-driven development has declined in China's economic transformation period, but at the regional level, in the eastern and mid-western regions, there is a different reason.

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“…Lu et al reported the spatial patterns of cropland transfer and its implication on ecosystem quality of Jiangsu Province [38]. Lin et al characterized the cropland occupation-compensation from the qualitative and quantitative perspective in Wenzhou from 2005 to 2014 [39].…”

Section: Introductionmentioning

confidence: 99%

Investigation of Future Land Use Change and Implications for Cropland Quality: The Case of China

et al. 2019

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Cropland loss resulting from land use change has drawn great attention in China due to the threat to food security. However, little is known about future magnitude and quality of cropland of China. In this study, the dynamic conversion of land use and its effects model (Dyna-CLUE) together with the Markov model and the potential yield data were used to simulate the influence of land use change on cropland quality in the next two decades under three scenarios. The results indicate that, under the trend scenario, the high-yield and medium-yield cropland would decrease and the low-yield cropland would increase between 2015 and 2030. The crop yield would decrease by 1.3 × 109 kg. Under planned scenario, high-yield and medium-yield cropland would decrease and the low-yield cropland would increase, and total crop yield would stay almost unchanged. Under the cropland protection scenario, the high-yield cropland would reduce slightly, and the medium-yield and low-yield cropland would increase substantially. The crop yield would increase by 5.36 × 1010 kg. The result of this study will help decision-makers to develop reasonable land use policies to achieve the goals of harmonious development between food security, economic growth, and environmental protection.

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Quality Perspective on the Dynamic Balance of Cultivated Land in Wenzhou, China

Cited by 28 publications

References 46 publications

Cropland Use Transitions and Their Driving Factors in Poverty-Stricken Counties of Western Hubei Province, China

Cropland Use Transitions and Their Driving Factors in Poverty-Stricken Counties of Western Hubei Province, China

Is There a Kuznets Curve Effect for China’s Land-Driven Development Mode?

Investigation of Future Land Use Change and Implications for Cropland Quality: The Case of China

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