Study on the After-evaluation Index System and Evaluation Model of Industrial Estate Land Development Project

According to the modem management theories and the characters of industrial estate land development project, this paper studies the after-evaluation＇s content and method of industrial estate land development project and puts forward the index system of course after-evaluation, finance after-evaluation and society after-evaluation. Moreover, this paper also brings forward the method and model of synthetic after-evaluation.

Linear Mixed Model Analysis of Worldwide Longitudinal Infant Mortality Rate Data and Association with Human Development Index

A linear mixed model is used to determine the explaining infant mortality rate data of United Nations countries. The HDI （human development index） has a significant negative linear relationship with infant mortality rate. United Nations data shows that the infant mortality rate has a descending trend over the period 1990-2010. This study aims to assess the value of the HDI as a predictor of infant mortality rate. Findings in the paper suggest that significant percentage reductions in infant mortality might be possible for countries for controlling the HDI.

How Users Perceive Infrastructure Development Affects Their Transport Mode Choice

Transport infrastructure development and perception vary across and within countries, influencing mode choice among road users. This study explores how road users perceive the development of infrastructure modes, service attributes, embedded safety levels, and commuting modes. Additionally, the research examines whether participants’ environmental backgrounds impact their mode choice patterns. The study gathered responses from 1169 participants residing in two regions of Amman, Jordan, each with distinct infrastructure development and population densities. Participants completed a standardized questionnaire, and several statistical techniques were employed for analysis. The findings revealed that facilities’ infrastructure attributes, development, and safety were assessed using three indices. Both participant groups perceived these indices differently on average. Residents of low population density areas with relatively developed infrastructure showed more consistent assessments, irrespective of their most frequently used mode of transportation, tending towards lower scores. Interestingly, subjective ratings of infrastructure development were higher (4.96) than attribute-based ratings (4.32). Despite their generally low-quality perception, public transportation services received the highest appraisal (4.9). Conversely, pedestrian infrastructure complementing public transport received the lowest assessment (4.57), only slightly higher than street environments (4.59). The study found weak associations between subjective service characteristics ratings. Traveler and trip characteristics influenced mode choice and trips more than infrastructure perception. In conclusion, the study suggests that policies should be developed to encourage green transportation, ensure social equality and safety. In addition, the study contributes to understanding perceptions about transport infrastructure, modes of transportation, and the factors that influence sustainable and equitable transportation systems.

Evaluation of the sustainable development level of countries along the Belt and Road and its impact factors:Empirical analysis based on the Super-efficiency slacks-based measure and Tobit measure models

Sustainable development is an important component of the Belt and Road Initiative(BRI)and is of great significance for evaluating the levels of sustainable development of countries along this route(henceforth,BRI countries).Therefore,this study aims to identify the factors that influence the levels of sustainable development of BRI countries in a reasonable and objective manner.Eventually,this study employs the super efficiency slacks-based measure(Super-SBM)model,which considers unexpected outputs to measure the level of sustainable development of BRI countries.The dynamic change and composition of the sustainable development level of these countries are calculated using the global Malmquist-Luenberger index.Furthermore,the Tobit model is used to identify the factors influencing the level of sustainable development of BRI countries in general and in various categories.The empirical results suggest the following points.(a)The overall level of sustainable development of BRI countries is low,whereas those of high-income and middle-and high-income countries are relatively high.(b)The overall sustainable development levels of BRI countries declined to a certain extent in 2008 owing to the effect of the financial crisis,.However,the sustainable development level of other countries,barring low-income countries,has gradually increased since 2011.(c)Since 2008,technological progress has replaced technical efficiency as the main driving force behind the improvement of the sustainable development level of BRI countries.(d)A U-shaped relationship is observed between the economic and sustainable development levels of these countries.(e)The level of science and technology and the proportion of renewable energy consumption can promote the sustainable development of these countries.Moreover,a negative correlation exists between the level of opening to the outside world and that of sustainable development of countries that mainly export resource-based products and are dominated by labor-intensive export industries.Barring low-income countries,the energy structure plays an effective role in improving the level of sustainable development.Finally,the study presents suggestions for China in the process of coping with the sustainable development of relevant countries during its promotion of the BRI.

Construction and Analysis of Development Pole Index of Guangdong Coastal Economic Zone:A Case Study of Zhanjiang

Zhanjiang and Shantou are big agricultural cities and important development poles of the East and West of the Guangdong Coastal Economic Belt.It is of great practical significance to quantitatively study the formation degree of development poles in economically underdeveloped regions.Taking Zhanjiang as an example,this paper constructs the development pole and measures the index by integrating 9 indicators,and analyzes the history and current situation of Zhanjiang as the development pole.It turns out that in the neighboring area,Zhanjiang has the ability to become a development pole,but it is far from being formed,and must cooperate with Haikou to form the dual development pole model.According to the analysis results,the corresponding suggestions are given in industry,ecology,transportation,talents,technological innovation and financial investment.

Integration system research and development for three-dimensional laser scanning information visualization in goaf

An integration processing system of three-dimensional laser scanning information visualization in goaf was developed. It is provided with multiple functions, such as laser scanning information management for goaf, cloud data de-noising optimization, construction, display and operation of three-dimensional model, model editing, profile generation, calculation of goaf volume and roof area, Boolean calculation among models and interaction with the third party soft ware. Concerning this system with a concise interface, plentiful data input/output interfaces, it is featured with high integration, simple and convenient operations of applications. According to practice, in addition to being well-adapted, this system is favorably reliable and stable.

Changing Rural Development Inequality in Jilin Province, Northeast China

Rural development inequality is an important practical issue during the course of full establishment of a ′moderately well-off society′ in modern China,and the objective understanding and evaluation of the status and regional inequality of rural development can provide scientific basis for ′building a new countryside′ and coordination development of rural-urban regions.Based on the county-level data of 2000,2005 and 2009,this paper examines the rural development inequality of Jilin Province in Northeast China by establishing a rural development index.The spatio-temporal dynamic patterns and domain factors are discussed by using the method of exploratory spatial data analysis and multi-regression model.The results are shown as follows.Firstly,most of the counties were in lower development level,which accounted for 58.3%,62.5% and 66.7% of the total counties in 2000,2005 and 2009,respectively.The characteristics of spatial inequality were very obvious at county level.For example,rural development level of Changchun Proper and the proper of seven prefecture-level cities were much higher than that of the surrounding regions.The counties in the eastern and northern Jilin Province were the lowest regions of rural development level,while the middle counties were the rapid growth areas in rural economy.Secondly,Moran′s I of rural development index(RDI) was 0.01,–0.16 and –0.06 in 2000,2005 and 2009,respectively,which indicated that spatial agglomeration of RDI was not obvious in Jilin Province,and took on the characteristic of random distribution.The counties of both the units and its adjacent units have higher development level(HH) were transferred from the western areas to the eastern areas,while the countries of both the units and its adjacent units have lower development level(LL) were diffused from the eastern to middle and western Jilin Province.Finally,the result of multi-regression analysis showed that the improvement of agricultural production condition,development of agricultural economics and the adjustment of industrial structure were the domain factors affecting rural development inequality of Jilin Province in the later ten years.

Effects of Crop Growth and Development on Land Surface Fluxes

In this study, the Crop Estimation through Resource and Environment Synthesis model （CERES3.0） was coupled into the Biosphere-Atmosphere Transfer Scheme （BATS）, which is called BATS CERES, to represent interactions between the land surface and crop growth processes. The effects of crop growth and development on land surface processes were then studied based on numerical simulations using the land surface models. Six sensitivity experiments by BATS show that the land surface fluxes underwent substantial changes when the leaf area index was changed from 0 to 6 m2 m-2. Numerical experiments for Yucheng and Taoyuan stations reveal that the coupled model could capture not only the responses of crop growth and development to environmental conditions, but also the feedbacks to land surface processes. For quantitative evaluation of the effects of crop growth and development on surface fluxes in China, two numerical experiments were conducted over continental China： one by BATS CERES and one by the original BATS. Comparison of the two runs shows decreases of leaf area index and fractional vegetation cover when incorporating dynamic crops in land surface simulation, which lead to less canopy interception, vegetation transpiration, total evapotranspiration, top soil moisture, and more soil evaporation, surface runoff, and root zone soil moisture. These changes are accompanied by decreasing latent heat flux and increasing sensible heat flux in the cropland region. In addition, the comparison between the simulations and observations proved that incorporating the crop growth and development process into the land surface model could reduce the systematic biases of the simulated leaf area index and top soil moisture, hence improve the simulation of land surface fluxes.

Developing a process-based and remote sensing driven crop yield model for maize(PRYM–Maize) and its validation over the Northeast China Plain

Spatial dynamics of crop yield provide useful information for improving the production. High sensitivity of crop growth models to uncertainties in input factors and parameters and relatively coarse parameterizations in conventional remote sensing(RS) approaches limited their applications over broad regions. In this study, a process-based and remote sensing driven crop yield model for maize(PRYM–Maize) was developed to estimate regional maize yield, and it was implemented using eight data-model coupling strategies(DMCSs) over the Northeast China Plain(NECP). Simulations under eight DMCSs were validated against the prefecture-level statistics(2010–2012) reported by National Bureau of Statistics of China, and inter-compared. The 3-year averaged result could give more robust estimate than the yearly simulation for maize yield over space. A 3-year averaged validation showed that prefecture-level estimates by PRYM–Maize under DMCS8, which coupled with the development stage(DVS)-based grain-filling algorithm and RS phenology information and leaf area index(LAI), had higher correlation(R, 0.61) and smaller root mean standard error(RMSE, 1.33 t ha^(–1)) with the statistics than did PRYM–Maize under other DMCSs. The result also demonstrated that DVS-based grain-filling algorithm worked better for maize yield than did the harvest index(HI)-based method, and both RS phenology information and LAI worked for improving regional maize yield estimate. These results demonstrate that the developed PRYM–Maize under DMCS8 gives reasonable estimates for maize yield and provides scientific basis facilitating the understanding the spatial variations of maize yield over the NECP.

Impact of petroleum and non-petroleum indices on financial development in Oman

This study analyzes the impact of petroleum and non-petroleum indices on the financial development of the Sultanate of Oman from 1978 to 2017.To this end,it uses the petroleum proxy of oil rents(%of gross domestic product,GDP)and the non-petroleum proxy of industry(including construction)value added(%of GDP);agriculture,forestry,and fishing value added(%of GDP);and services value added(%of GDP)to determine the effect on financial development,measured by the amount of domestic credit extended to the private sector by banks(%of GDP).It applies an autoregressive distributed lag(ARDL)model.The long-term equation illustrates that the agriculture and industry GDPs have a negative and significant relationship with domestic credit in Oman.However,the oil and service sector GDPs promote financial development.The short-term equation illustrates that the oil,agricultural,and service sectors have positive and significant effects on domestic credit.The conclusion is that the economy of Oman is still in the first phase of economic diversification.Accordingly,the government should use oil revenues to develop various non-oil industrial sectors.This would enhance the country’s competitiveness in the global economy and positively contribute to improving the liquidity of the banking sector for stimulating credit at the macroeconomic level.

Another strategy to assess sustainable development

The goal of sustainoble development is to preserve sustainabitity trod simultaneously prevent catastrophe in a man-land .system. However, almost all the existing approaches to assessing sustainable development are to measure the sustainability. namely appraise from the obverse side of the sustainable development. So it seems necessary to attack the same task on the reverse, namely to measure the passibility of eatostrophe. In this paper, with a case study of Tianjin, China. we employ catastrophe theory and models to integrate Tianjin＇s sustainable development indicators, and then deduce the catastrophe risk index （ CRI） to present the level of catastrophic possibility in the city. Applying catastrophe theory, is a new strategy to assess sustainable development and shows great practical significance, especially for those developing regions or countries, who always give more priority to their economy and therefore have more obligation to make sure whether their social economic activities might bring forth any ecological environment catastrophe. Besides, being both qualitative and quantitative, the approach could be employed to explore not only static characteristics bat also dynamic mechanism of man-land system. Although our work is only a maiden attempt and still calls for further effort to improve it, the case study of Tianjin in this paper would assure as the great promising future to apply, catastrophe theory to sustoinable devetopment modeling,

Measuring the agricultural sustainability of India:An application of Pressure-State-Response(PSR)model

Analyzing agricultural sustainability is essential for designing and assessing rural development initiatives.However,accurately measuring agricultural sustainability is complicated since it involves so many different factors.This study provides a new suite of quantitative indicators for assessing agricultural sustainability at regional and district levels,involving environmental sustainability,social security,and economic security.Combining the PressureState-Response(PSR)model and indicator approach,this study creates a composite agricultural sustainability index for the 14 mainstream agro-climatic regions of India.The results of this study show that the Trans-Gengatic Plain Region(TGPR)ranks first in agricultural sustainability among India's 14 mainstream agro-climatic regions,while the Eastern Himalayan Region(EHR)ranks last.Higher livestock ownership,cropping intensity,per capita income,irrigation intensity,share of institutional credit,food grain productivity,crop diversification,awareness of minimum support price,knowledge sharing with fellow farmers,and young and working population,as well as better transportation facilities and membership of agricultural credit societies are influencing indicators responsible for higher agricultural sustainability in TGPR compared with EHR.Although,the scores of environmental sustainability indicators of EHR are quite good,its scores of social and economic security indicators are fairly low,putting it at the bottom of the rank of agricultural sustainability index among the 14 mainstream agroclimatic regions in India.This demonstrates the need of understanding agricultural sustainability in relation to social and economic dimensions.In a nation as diverse and complicated as India,it is the social structure that determines the health of the economy and environment.Last but not least,the sustainability assessment methodology may be used in a variety of India's agro-climatic regions.

The Connection of Vegetation with Tourism Development and Economic Growth： A Case Study for Aruba

Vegetation is an important ecosystem on earth. It influences the earth system in many ways. Any influences on this fragile variable should be investigated, especially in a changing climate. Humans can have a positive or a negative influence on plants. This paper investigates the possible impact of tourism development and economic growth on vegetation health using cointegration and causality for Aruba. The proposed framework contributes to a better understanding on the use of remote sensing of vegetation response to tourism development and economic growth. Thereby, provide opportunities for improving the overall strategy for achieving sustainable development on a small island state. The calculations showed that there were relationships between the tourism demand and economic growth on the vegetation health on Aruba for the western part of the island. On the other hand, for the central part of the island, no relationships were found.

Common Species Distribution Models in Biodiversity Analysis and Their Challenges and Prospects in Application

Species distribution models have been widely used to explore suitable habitats of species,the impact of climate change on the distribution of suitable habitats of species,and the construction of ecological reserves.This paper introduced species distribution models commonly used in biodiversity analysis,as well as model performance evaluation indexes,challenges in the application of species distribution models,and finally prospected the development trend of research on species distribution models.

堰塞坝开发利用综合评价方法与应用

现阶段堰塞坝开发利用工程设计建设大多沿用传统土石坝相关技术理论,应急抢险、风险分析及开发利用可行性分析完成后,缺少针对堰塞坝开发利用效果的定量评价方法。通过分析社会及生态、供水灌溉、发电功能及投资回报等堰塞坝开发利用需求,建立堰塞坝开发利用综合评价指标体系和多级模糊综合评价模型,引入云模型改进的层次分析法确定各指标权重,结合构建的隶属度函数确定各指标隶属度,并以红石岩、唐家山、白格、舟曲泥石流堰塞坝为典型案例,综合评价国内典型堰塞坝开发利用效果。结果表明:堰塞坝开发利用综合评价体系满足需求效果及收益最大化的评价要求,改进的多级模糊综合评价模型较好地解决了评价指标随机性、离散性等问题;综合评价结果与工程实际情况基本相符,评价体系及模型具有较好的适用性。研究成果可为堰塞坝开发利用综合评价提供理论参考和实践依据。

不同地形梯度下秦巴山区乡村振兴潜力及发展路径

我国山地丘陵地区在空间上相对孤立,乡村发展受到阻碍。开展不同地形梯度下乡村振兴潜力及发展路径研究,旨在为山区因地制宜推进乡村振兴提供理论与科学依据。基于陕南秦巴山区地形差异开展典型村域调研,构建评价指标体系测度乡村振兴潜力,结合相关性与障碍度模型,辨识不同地形梯度下乡村振兴的障碍因素,提出差异化发展建议。结果表明:①各地形梯度下乡村振兴综合潜力由大到小依次为低地形梯度、中低地形梯度、高地形梯度、中高地形梯度,地形梯度与秦巴山区乡村振兴综合潜力及区位条件、基础设施潜力成显著负相关关系;②随着地形梯度的上升,秦巴山区乡村主体、产业发展、人居环境、区位条件、基础设施潜力整体上呈减小趋势,资源禀赋潜力先减小后增大;③不同地形梯度下秦巴山区乡村振兴各维度潜力大小及其障碍因子皆存在明显差异。为优化山区乡村发展模式、全面推进乡村振兴,建议低地形梯度村庄重点防止人口、耕地等农业生产要素流失,中低地形梯度村庄优化基层组织、提升引领能力,中高梯度村庄加强基础设施建设、改善人居环境,高地形梯度村庄充分保护并合理利用林地资源,发展特色产业。

高质量发展视角下京津冀地区WEF系统综合评价研究

为综合评价京津冀地区的高质量发展水平,从创新、协调、绿色、开放、共享等5个维度构建高质量发展评价指标体系,采用熵值-变异系数综合赋权法计算指标权重,利用线性加权法构建综合评价指数模型测度京津冀地区WEF系统高质量发展的水平,并基于灰色关联度模型探究影响WEF系统高质量发展的关键因子与维度。结果表明:2011—2021年京津冀地区WEF系统综合评价指数呈现上升趋势,空间尺度上3个省市的均值排序为北京市>河北省>天津市;京津冀地区WEF系统各维度指数表现出不同的时空特征,其中共享维度表现出下降趋势,创新维度的空间差异性最显著;粮食产量、生活耗能占比、万元GDP耗能量、生活用水量占比、第三产业耗能占比等指标是影响WEF系统高质量发展的关键因子,协调与共享是影响WEF系统高质量发展的关键维度,本研究可为区域资源高水平管理提供科学的理论依据。

基于职业可持续发展的大学生素质评价:理论、模型与指标体系

基于评价模式改革引导高素质大学生培养已经成为国家关注的重点,已有大学生评价体系不能适应促进学生终身职业发展的需要,必须建立起以职业发展素质为核心的素质评价体系。文章对国内外职业可持续发展能力和素质评价体系相关研究进行综述,借鉴分析职业素质三角模型理论,新增动力要素和适应要素两个维度,重新构建职业发展素质五维模型,并通过文献分析选用11个关键素质作为二级指标,最终构成以培养大学生职业可持续发展能力为导向的素质评价指标体系。

中国“一带一路”倡议的包容性开放效应——基于“一带一路”沿线国家HDI指数的经验分析

与以往发达国家主导和推动的经济全球化不同,中国“一带一路”倡议由于秉持着人类命运共同体先进理念,不仅为更多发展中国家融入全球价值链分工提供了更多机会,而且力图改善其分工地位,从而推动经济全球化朝着更加具有包容性开放的方向发展,让开放发展的成果能够更多地惠及世界各国尤其是其他发展中国家。在理论分析基础上,以人类发展指数(HDI)作为包容性开放效应的表征变量,基于2010—2019年ADBMRIO数据库中60个国家的经验数据,采用双重差分模型进行实证分析及稳健性检验,分析“一带一路”倡议的包容性开放效应。结果表明,“一带一路”倡议显著促进了沿线国家HDI提升,表现出较好的包容性开放特征,并且上述效应主要通过提升沿线国家全球价值链参与度和改善分工地位2个作用机制产生,理论假说得到了较好的逻辑一致性计量检验结果。据此可见,秉持人类命运共同体先进理念的“一带一路”倡议,不仅有着坚实的理论基础,而且实践经验证明中国已经走在推动包容性开放道路上,包容性开放效应在“一带一路”沿线国家初步显现。

基于可持续发展视角我国稀土资源贸易安全评价研究

稀土是支撑高端技术创新和新兴产业发展的关键矿产资源,已经成为大国资源竞争和国际地缘经济政治博弈的重要对象。全球稀土供应链重构进程加剧,如何评估我国稀土资源贸易安全,破解稀土贸易贫困化增长困境,促进稀土产业可持续发展,是当前亟须关注和解决的重要课题。本研究基于“压力—状态—响应”模型(Pressure-State-Response Model)构建稀土贸易安全评价指标体系,测算不同时期我国稀土资源的压力指数、状态指数、响应指数,揭示我国稀土贸易安全指数演变特征,进一步建立多元线性回归模型,识别我国稀土贸易安全的影响因素。研究发现:我国稀土资源贸易安全度在持续下降,亟需优化贸易结构,降低供应链风险;我国稀土资源贸易的驱动因素主要来源于市场需求牵引、资源禀赋优势以及产业有序供给;全球稀土产业分工格局、资源价值核算方法缺失,限制了我国稀土资源贸易可持续发展。在此基础上,提出通过健全稀土资源收储体系、建设再生稀土研发和回收网络等方式,保障战略性稀土资源供给安全;同时,整合稀土行业优势资源与优化稀土产业链及供应链,深度参与全球稀土供应链治理,为我国稀土资源开发利用与可持续发展提供决策依据。