scholarly journals Research on Spillover Effect of Urbanization on Rural Land Transfer Based on the SDM Model of Intelligent Computing

2022 ◽  
Vol 2022 ◽  
pp. 1-10
Author(s):  
Fucheng Yang ◽  
Guoyong Liu
Keyword(s):  
Panel Data ◽  
Spatial Heterogeneity ◽  
Spatial Correlation ◽  
Spillover Effect ◽  
Rural Land ◽  
Spatial Agglomeration ◽  
Intelligent Computing ◽  
Land Transfer ◽  
Southern Xinjiang

In order to explore the spillover effect of urbanization on rural land transfer, this paper uses the panel data of various regions and cities in Xinjiang from 2008 to 2018. Moran's I method is used to test and analyze the spatial correlation between urbanization and farmland transfer. Intelligent computing SDM is used to analyze the spillover effect of urbanization on farmland transfer. The results show that there is spatial correlation between farmland transfers in Xinjiang. There is spatial heterogeneity in the spatial agglomeration of urbanization and farmland transfer in northern and southern Xinjiang. The content of this paper can provide some reference and ideas for follow-up research.

scholarly journals Positive effect of village debt on land transfer: Evidence from county-level panel data of village finance in Zhejiang Province

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0255072
Author(s):  
Chunhui Ye ◽  
Suwen Zheng ◽  
Edward Gu
Keyword(s):  
Panel Data ◽  
Fixed Effect Model ◽  
Market Mechanism ◽  
Zhejiang Province ◽  
County Level ◽  
Rural Land ◽  
Multivariate Statistical ◽  
Agricultural Enterprises ◽  
Land Transfer ◽  
The Impact

The purpose of this paper is to examine the impact of village debt on land transfer. Based on the county-level panel data of village finance and land transfer in 90 counties and 4 economic development zones of Zhejiang Province from 2013 to 2017, this paper carried out multivariate statistical analysis and set a fixed effect model to control the endogenous influence of region and time. It found that village debt as a pressure may encourage village committees to promote rural land transfer, and then especially promote land flows into agricultural firms; as a mechanism, the burden of village organization’s transactional debt (historical debt and administrative debt) is the key to promoting the rural land flow to agricultural enterprises; through further analysis, it is found that the village committee seeks "win-win" opportunities by intervening in land circulation to ensure the rights and interests of farmers and to obtain village benefits from them. This paper finds that this kind of push effect has the threshold, the debt will play a significant role in promoting when the debt rate is between 4.65% and 7.9%. In addition, there is regional heterogeneity in the contribution of debt, which exists only in plain, non-coastal and high-dependence areas. The results of this paper verify the view that "community mechanism and market mechanism are embedded and supported each other in acquaintance society" in the theory of community governance. In practice, it provides a realistic basis for policy makers to implement the policy of encouraging farmland circulation and properly deal with the problem of village debt.

scholarly journals Research on Spatiotemporal Differentiation and Influence Mechanism of Urban Resilience in China Based on MGWR Model

2021 ◽  
Vol 18 (3) ◽  
pp. 1056
Author(s):  
Yu Chen ◽  
Mengke Zhu ◽  
Qian Zhou ◽  
Yurong Qiao
Keyword(s):  
Spatial Heterogeneity ◽  
Spatial Correlation ◽  
Spatial Data ◽  
Central Area ◽  
Urban System ◽  
Entropy Method ◽  
Driving Factors ◽  
Spatial Data Analysis ◽  
Eastern Region ◽  
Urban Resilience

Urban resilience in the context of COVID-19 epidemic refers to the ability of an urban system to resist, absorb, adapt and recover from danger in time to hedge its impact when confronted with external shocks such as epidemic, which is also a capability that must be strengthened for urban development in the context of normal epidemic. Based on the multi-dimensional perspective, entropy method and exploratory spatial data analysis (ESDA) are used to analyze the spatiotemporal evolution characteristics of urban resilience of 281 cities of China from 2011 to 2018, and MGWR model is used to discuss the driving factors affecting the development of urban resilience. It is found that: (1) The urban resilience and sub-resilience show a continuous decline in time, with no obvious sign of convergence, while the spatial agglomeration effect shows an increasing trend year by year. (2) The spatial heterogeneity of urban resilience is significant, with obvious distribution characteristics of “high in east and low in west”. Urban resilience in the east, the central and the west are quite different in terms of development structure and spatial correlation. The eastern region is dominated by the “three-core driving mode”, and the urban resilience shows a significant positive spatial correlation; the central area is a “rectangular structure”, which is also spatially positively correlated; The western region is a “pyramid structure” with significant negative spatial correlation. (3) The spatial heterogeneity of the driving factors is significant, and they have different impact scales on the urban resilience development. The market capacity is the largest impact intensity, while the infrastructure investment is the least impact intensity. On this basis, this paper explores the ways to improve urban resilience in China from different aspects, such as market, technology, finance and government.

scholarly journals Quantile Regression for Panel Data: An Empirical Approach for Knowledge Spillovers Endogeneity

2017 ◽  
Vol 9 (7) ◽  
pp. 106 ◽  
Author(s):  
Luigi Aldieri ◽  
Concetto Paolo Vinci
Keyword(s):  
Theoretical Model ◽  
Panel Data ◽  
Quantile Regression ◽  
Knowledge Spillovers ◽  
Spillover Effect ◽  
Technology Spillovers ◽  
Significant Heterogeneity ◽  
The Core ◽  
Endogenous Regressors ◽  
Different Levels

The aim of this paper is to investigate the extent to which knowledge spillovers effects are sensitive to different levels of innovation. We develop a theoretical model in which the core of spillover effect is showed and then we implement the empirical model to test for the results. In particular, we run the quantile regression for panel data estimator (Baker, Powell, & Smith, 2016), to correct the bias stemming from the endogenous regressors in a panel data sample. The findings identify a significant heterogeneity of technology spillovers across quantiles: the highest value of spillovers is observed at the lowest quartile of innovation distribution. The results might be interpreted to provide some useful implications for industrial policy strategy.

EVALUATING THE COMPETITION EFFECTS OF UBER’S ENTRY INTO THE BRAZILIAN INCUMBENT CAB-HAILING APP SEGMENT

2018 ◽  
Vol 14 (4) ◽  
pp. 608-637
Author(s):  
Guilherme Mendes Resende ◽  
Ricardo Carvalho de Andrade Lima
Keyword(s):  
Panel Data ◽  
Spatial Heterogeneity ◽  
Competitive Environment ◽  
Disruptive Effect ◽  
The South ◽  
Difference In Differences ◽  
Data Set ◽  
The North ◽  
Competition Effects

Abstract This paper assesses the competition effects of Uber’s entry into the incumbent cab-hailing app segment in Brazil. Using a monthly panel data set (from 2014 to 2016) covering the Brazilian municipalities and a difference-in-differences estimator, we show that Uber’s entry into the market resulted in an average reduction of 56.8 percent in the number of rides from cab-hailing apps in the cities where the platform operates. The magnitude of this effect suggests that Uber has had a clearly disruptive effect on the incumbent sector. We also found significant spatial heterogeneity in the competition effects of the platform when comparing the markets of the capitals of the North and Northeast regions (where Uber entered late) with the capitals of the South, Southeast, and Central West regions (where Uber entered early). Only in the second group of municipalities, we found that Uber’s entry caused a reduction in taxi fares (reduction of 12.1 percent). This indicates that the cab-hailing app sector reacted to Uber’s entry by offering discounts in fares after a longer period of exposure to a competitive environment.

scholarly journals Foreign Trade, FDI and the Upgrading of Regional Industrial Structure in China: Based on Spatial Econometric Model

2020 ◽  
Vol 12 (3) ◽  
pp. 815 ◽  
Author(s):  
Shan-Li Wang ◽  
Feng-Wen Chen ◽  
Bing Liao ◽  
Cuiju Zhang
Keyword(s):  
Foreign Trade ◽  
Industrial Structure ◽  
Econometric Model ◽  
Spillover Effect ◽  
Spatial Effects ◽  
Spatial Agglomeration ◽  
Significance Level ◽  
Spatial Spillover ◽  
Spatial Spillover Effect ◽  
Regional Industrial Structure

The upgrading of industrial structure is the core means of coordinating economic development and environment protection. Its spatial agglomeration can also reduce environmental pollution partly. The upgrading of China’s industrial structure has become an important issue concerned by the whole society. To better understand this issue, based on the provincial data of China (1997–2017), this paper strives to explore the spatial effects of foreign trade and foreign direct investment (FDI) on the upgrading of China’s regional industrial structure by constructing the weight matrix of economic distance, and by introducing the spatial autocorrelation analysis method and spatial panel econometric model. The results show that: 1. The Moran’s I index of China’s import, export, FDI, and industrial structure upgrading has passed the 5% significance level test, displaying remarkable spatial agglomeration characteristics. 2. Foreign trade and FDI are important driving factors to upgrade China’s industrial structure. 3. Foreign trade has a significant spatial spillover effect. Imports and exports can not only promote the upgrading of local industrial structure, but also radiate to other regions, promote or inhibit the development of its industry, and further affect the national data. 4. The spatial spillover effect of FDI is not significant. Finally, some policy suggestions are put forward.

scholarly journals Improvement of Intraoperative Antibiotic Prophylaxis in Prolonged Cardiac Surgery by Automated Alerts in the Operating Room

2003 ◽  
Vol 24 (1) ◽  
pp. 13-16 ◽  
Author(s):  
Giorgio Zanetti ◽  
Hugh L. Flanagan ◽  
Lawrence H. Cohn ◽  
Richard Giardina ◽  
Richard Platt
Keyword(s):  
Cardiac Surgery ◽  
Antibiotic Prophylaxis ◽  
Operating Room ◽  
Spillover Effect ◽  
Control Group ◽  
Reminder System ◽  
Preoperative Administration ◽  
Group 5 ◽  
The Impact

AbstractObjective:To assess the impact of an automated intraoperative alert to redose prophylactic antibiotics in prolonged cardiac operations.Design:Randomized, controlled, evaluator-blinded trial.Setting:University-affiliated hospital.Patients:Patients undergoing cardiac surgery that lasted more than 4 hours after the preoperative administration of cefazolin, unless they were receiving therapeutic antibiotics at the time of surgery.Intervention:Randomization to an audible and visual reminder on the operating room computer console at 225 minutes after the administration of preoperative antibiotics (reminder group, n = 137) or control (n = 136). After another 30 minutes, the circulating nurse was required to indicate whether a follow-up dose of antibiotics had been administered.Results:Intraoperative redosing was significantly more frequent in the reminder group (93 of 137; 68%) than in the control group (55 of 136; 40%) (adjusted odds ratio, 3.31; 95% confidence interval, 1.97 to 5.56; P < .0001). The impact of the reminder was even greater when compared with the 6 months preceding the study period (129 of 480; 27%; P < .001), suggesting some spillover effect on the control group. Redosing was formally declined for 19 of the 44 patients in the reminder group without redosing. The rate of surgical-site infection in the reminder group (5 of 137; 4%) was similar to that in the control group (8 of 136; 6%; P = .42), but significantly lower than that in the pre-study period (48 of 480; 10%; P = .02).Conclusion:The use of an automatic reminder system in the operating room improved compliance with guidelines on perioperative antibiotic prophylaxis.

Online Legal System Popularization of Rural Land System

2014 ◽  
Vol 926-930 ◽  
pp. 3854-3857
Author(s):  
Xao Ling Zhang ◽  
Fang Li
Keyword(s):  
Land Rights ◽  
Construction Site ◽  
Rural Land ◽  
Specific Design ◽  
Site Specific ◽  
Law System ◽  
Land System ◽  
Land Transfer ◽  
Theoretical Construction ◽  
Rural Land System

Recently, the self-employed do not respect the land rights of farmers, forcing farmers to transfer land, free of illegal interception land transfer revenue; do not respect the wishes of farmers, forced recruitment of illegal occupation of farmer contracted land, to compensate for low prices, such as a very serious problem. Discussion from the institutional reasons, there are some flaws of the current land law system. From the theoretical construction site briefly describes the contents of the configuration pre-planning the construction site, the site specific design, site hardware and software facilities, administer the site core information website and promotion, website maintenance and other aspects of the latter.

A Study of the Impact of Innovation on Industrial Upgrading in China: A Spatial Econometric Analysis Based on China’s Provincial Panel Data

2020 ◽  
Vol 24 (3) ◽  
pp. 272-281
Author(s):  
Jiao Jiang ◽  
Xindong Zhao ◽  
◽  
Keyword(s):  
Panel Data ◽  
Industrial Structure ◽  
Spillover Effect ◽  
Theory Model ◽  
Regional Innovation ◽  
Industrial Upgrading ◽  
Logical Connection ◽  
Depth Analysis ◽  
The Impact ◽  
Industrial Structure Upgrading

This study provides an in-depth analysis of the impact of innovation on industrial upgrading from theoretical and practical perspectives. In terms of theory, based on the endogenous growth theory model, a multi-sectoral growth model is constructed to portray the inherent logical connection between innovation and industrial structure upgrading. The results show that innovation has an important impact on industrial structure upgrading. Industrial structure upgrading depends on differences in innovation level among industries and the substitution relationship of finished products in the industry. From an empirical perspective, based on the panel data of 31 provinces in China from 2005 to 2017, the spatial effect of innovation on industrial upgrading was analyzed using the spatial Durbin model. The results show that innovation and industrial structure upgrading has significant spatial correlation effects, and regional innovation can drive China’s industrial upgrading. Meanwhile, the space spillover effect is an important factor that cannot be ignored in industrial upgrading.

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