5 research outputs found

    Interaction and Coupling Mechanism between Recessive Land Use Transition and Food Security: A Case Study of the Yellow River Basin in China

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    The Yellow River Basin (YRB) plays an important role in China’s socioeconomic development and ecological security. From the perspective of recessive land use transition (RLUT), exploring the watershed food security (FS) coordination mechanism is of strategic significance to territorial space optimization and high-quality development. To this end, a coordinated evaluation system was built for analyzing the coupling coordination degree (CCD), spatiotemporal evolution characteristics, and driving mechanism between RLUT and FS of 74 cities in the YRB from 2003 to 2018, using methods such as the coupling coordination degree model, spatial autocorrelation analysis, and the geo-detector model. The results are as follows: (1) Spatial imbalance of RLUT and FS in the YRB is significant. RLUT has significant differences between east and west, and FS has significant differences between north and south. (2) From 2003 to 2018, the CCD between RLUT and FS increased from 0.6028 to 0.6148, maintaining a steady upward trend, and the cold and hot characteristics of spatial agglomeration are significant. (3) The CCD between RLUT and FS depends on population density, average annual temperature, and average elevation. The driving effect of natural factors is higher than the socioeconomic factors on the total basin scale, but the opposite is true on the sub-basin scale. Clarifying the spatiotemporal pattern, characteristics, and mechanism of the coupling and the coordination of RLUT and FS can provide a scientific basis for territorial space planning

    Enterprise Location Selection for "Diversified Connection Space": Urban Micro-Location Analysis Based on an SGWR Model

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    The cultural, economic, institutional, and social connotations of "diversified connection space" are used as the spatial basis in urban micro-location and firm location selection. This study examines the evolution of firm location selection from the perspective of "diversified linkages", incorporates "diversified linkages" in urban micro-location with the firm location evolution model based on the assumption of "cost sharing," and discusses urban micro-locations, diversified linkages, and enterprise location selection. The selection of a firm's location is determined not only by economic factors and market mechanisms, but also through the interaction of location-specific economics with social and geographical factors that manifest themselves as a common set of rules and entrenched social and cultural practices. For example, behavioral norms and social relationships among entrepreneurs that permeate the internal economic relations and production activities of enterprises can influence the location selection of these enterprises. Using the findings of empirical research on information technology enterprises, such as those based in Shenzhen, micro-enterprises, and micro-locations in urban space, we examined the factors that influence the selection of a firm's location using Ordinary Least Squares (OLS) regression, Geographically Weighted Regression (GWR), and Semi-parametric GWR (SGWR) analyses. The results showed that spatial selection of enterprises in urban micro-locations occurred through a combination of bottom-up market mechanisms and top-down policies, and that the influence of traditional factors were more significant. Although land use and function categories were significant factors, the robustness of other variables was not strong. In addition, the results of GWR and SGWR analyses were better than those of OLS regression, indicating significant spatial heterogeneity in urban micro-locations. The spatial diversity and heterogeneity of space were also verified, to a certain extent, by differences between local and global variables. Therefore, "diversified connection space" attributes the focus of an urban micro-location to spatial elements and the spatial mechanism of firm location selection, such that economic, geographical, and social spaces are compatible. It is also influenced by a combination of economic, geographical, institutional, and social factors. This process is not only affected by economic factors, such as factor endowment and economic function (of land use) and its market role, but also by planning, policy, traffic conditions, and other "cost sharing" factors. Consequently, the meaning and usage of urban micro-location and location theory have expanded

    Spatio-Temporal Evolution of Land Use Transition and Its Eco-Environmental Effects: A Case Study of the Yellow River Basin, China

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    Human activities and environmental deterioration have resulted in land use transition (LUT), which seriously affects the ecosystem service value (ESV) of its region. Therefore, relevant policy measures are urgently needed. Nevertheless, research on the relationships between LUTs and ESVs from the overall watershed scale is lacking. Thus, the geo-information Tupu method was applied to analyze the dynamic patterns of LUT based on land use data from 1990, 2000, 2010, and 2018 of the Yellow River Basin (YRB). Then, a newly revised ecosystem services calculation method was utilized to the responses of ESV to LUTs. The results indicated that the Tupu units of the LUT were mainly based on the mutual transformation of grassland and unused land, and cultivated land and forestland, which were widely distributed in the upper and middle reaches of the basin. The spatial distribution was concentrated, and the expansion’s trend was also obvious. Moreover, the conversion of cultivated land into construction land was mainly distributed in the lower reaches of the basin. During 1990–2018, the total ESV fluctuated and increased (+10.47 × 108 USD) in the YRB. Thereinto, the ESV of grassland (45%) and forestland (30%) made the greatest contribution to the total ESV. As for different reaches, the ESV increased in the upstream, but decreased in the midstream and the downstream. In terms of contribution rate, the conversion of unused land into grassland (12.477%) and grassland into forestland (9.856%) were the main types to enhance the ESV in the YRB, while the conversion of forestland into grassland (−8.047%) and grassland to unused land (−7.358%) were the main types to reduce the ESV. Furthermore, the range of ecological appreciation zones was widely distributed and scattered, while the range of ecological impairment zones was gradually expanded. These findings could have theoretical support and policy implications for land use planning and environmental services in the YRB

    Interaction and Coupling Mechanism between Recessive Land Use Transition and Food Security: A Case Study of the Yellow River Basin in China

    No full text
    The Yellow River Basin (YRB) plays an important role in China’s socioeconomic development and ecological security. From the perspective of recessive land use transition (RLUT), exploring the watershed food security (FS) coordination mechanism is of strategic significance to territorial space optimization and high-quality development. To this end, a coordinated evaluation system was built for analyzing the coupling coordination degree (CCD), spatiotemporal evolution characteristics, and driving mechanism between RLUT and FS of 74 cities in the YRB from 2003 to 2018, using methods such as the coupling coordination degree model, spatial autocorrelation analysis, and the geo-detector model. The results are as follows: (1) Spatial imbalance of RLUT and FS in the YRB is significant. RLUT has significant differences between east and west, and FS has significant differences between north and south. (2) From 2003 to 2018, the CCD between RLUT and FS increased from 0.6028 to 0.6148, maintaining a steady upward trend, and the cold and hot characteristics of spatial agglomeration are significant. (3) The CCD between RLUT and FS depends on population density, average annual temperature, and average elevation. The driving effect of natural factors is higher than the socioeconomic factors on the total basin scale, but the opposite is true on the sub-basin scale. Clarifying the spatiotemporal pattern, characteristics, and mechanism of the coupling and the coordination of RLUT and FS can provide a scientific basis for territorial space planning
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