Influencing factors of forestry economic growth in Guangdong province

Based on the data of Guangdong Rural Statistical Yearbooks(2011-2018)and Guangdong statistical yearbook(2011-2018),the grey correlation analysis method was used to analyze the factors influencing the growth of forestry economy in Guangdong province.The results show that the correlation of GDP and forestry economic growth,the correlation of afforestation area and forestry economic growth,the correlation of sunshine hours and forestry economic growth,the correlation of population density and forestry economic growth,the correlation of forest coverage rate and forestry economic growth,the correlation of annual average temperature and forestry economic growth,the correlation of average annual rainfall and forestry economic growth,the correlation of the number of forestry workers and the growth of forestry economy,the correlation of total forestry investment and forestry economic growth,are gradually decreased.

A Factor Analytic Model of Economic Growth Basing on Domestic and Foreign Resource and a Positive Study of Korean Economy

The most popular and traditional method to analyze the source of economic growth is created by Robert. M.Solow, but it has some localizations and is not very precise in some sense. In this paper, we will classify all sources of economic growth into domestic part and foreign part. Gross domestic products (GDP) growth is decomposed into labor input, domestic capital formation, imported foreign capital formation, and total factor productivity (TFP) growth. TFP growth is again divided into scale economies, capital utilization, human capital, domestic research and development (R&D)effort, and imported foreign technology. In this way,foreign resources include imported foreign capital formation and foreign technology. By model and demonstration, we analyze the impact of foreign resource to an economy, and the contribution of each factor (especially technological progress) to economic growth.

A Research on Competitiveness of Guangxi City——Based on System Clustering Method and Principal Component Analysis Method

A total of 10 indices of regional economic development in Guangxi are selected.According to the relevant economic data,regional economic development in Guangxi is analyzed by using System Clustering Method and Principal Component Analysis Method.Result shows that System Clustering Method and Principal Component Analysis Method have revealed similar results analysis of economic development level.Overall economic strength of Guangxi is weak and Nanning has relatively high scores of factors due to its advantage of the political,economic and cultural center.Comprehensive scores of other regions are all lower than 1,which has big gap with the development of Nanning.Overall development strategy points out that Guangxi should accelerate the construction of the Ring Northern Bay Economic Zone,create a strong logistics system having strategic significance to national development,use the unique location advantage and rely on the modern transportation system to establish a logistics center and business center connecting the hinterland and the Asean Market.Based on the problems of unbalanced regional economic development in Guangxi,we should speed up the development of service industry in Nanning,construct the circular economy system of industrial city,and accelerate the industrialization process of tourism city in order to realize balanced development of regional economy in Guangxi,China.

The Sources of Economic Growth in Sub-Saharan African IDB Member Countries

The economic growth in Sub-Sahara African （SSA） IDB member countries has been encouraging over the last decade; however, it is still not high enough to enable these countries to overcome the persistent poverty. There is thus a need to raise substantially real GDP growth rates on a sustained basis, both through the productivity channel and factor accumulation such as labor and capital. This study focuses on ＂the source of economic growth in SSA IDB member countries＂ with the objective of identifying the main driving factors of economic growth in the region using the growth accounting framework and extending the existing analysis both by country and time coverage. The paper is expected to be useful for the policymakers in the region to have a clear picture on the main sources of growth, and thus help them in identifying strategic reform areas of intervention in line with the most binding factors of growth. The data used in this study cover 20 Sub-Sahara African countries covering the period 1990-2012. The data set includes real GDP, labor force, and capital stock. The source of data is the various version of the World Economic Outlook, IMF. Capital stock is estimated using perpetual inventory method and the base year is 1970. In estimating growth accounting model, a translog production function is applied using panel data and random effects model. Empirical results show that the capital accumulation is the most important individual factor in GDP growth （52%） followed by workforce accumulation （39%） while total factor productivity （TFP） accounts for meagre 8%. This suggests that, on average, real GDP growth in Sub-Sahara African countries was driven primarily by factor accumulation with a low level of TFP. In addition, the elasticity of labor was lower than that of capital indicating that the labor played very little role in GDP growth most likely due to unskilled labor force or mismatch of labor skills with the production process. Furthermore, this also adversely affects both the TFP growth and the share of capital growth to the GDP growth. The results indicate that the critical constraint to the economic growth appears to be poor labor skills that lead to both low labor productivity and under-utilization of capital stock.

A Study on the Impact of PEST Analysis on the Pharmaceutical Sector： The Bangladesh Context

PEST （Political, Economic, Social, and Technological） analysis of any industry sector investigates the important factors that are affecting the industry and influencing the companies operating in that sector. The purpose of this study is to analyze the pharmaceutical sector of Bangladesh using the framework of PEST. This report brings to light the current state of the sector its progress and its problems. Through this study the researchers try to discuss the affect of various macro-economic factors of political, economic, social, and technological aspect on the industry and its related problems and prospects for the future.

The Influencing Factors on the Growth of Economic and Management Talents Based on Structural Equation Model—A Case Study of Sichuan Province

To analyze the influencing factors on the growth of economic and management talents in China's Sichuan Province, this paper constructs an analysis framework for the growth of economic and management talents, takes 340 economic management scholars in 53 higher education institutions in Sichuan Province as the research objects, uses CV analysis to organize their CVs and information, and constructs an evaluation index system combined with system science theory for the influencing factors from five dimensions: Educational experience, work experience, research experience, part-time experience, and award experience. Correlation analysis and structural equation model are used to systematically analyze the influencing factors on the growth of economic and management talents. The experimental results show that work experience, research experience, and award experience have a direct positive significant influence on talent growth;research experience and award experience play mediating roles in the influence of talent growth. This paper enriches the theoretical dimensions of this research field and explores the interactions among these factors. It also helps to improve the cultivation and development mode of economic and management talents in the western region. Furthermore, it provides guidance and reference for the role of talents in promoting economic growth, industrial upgrading, and sustainable development.

中国降碳-减污-扩绿-增长协同发展空间关联网络特征及影响因素研究

协同推进降碳-减污-扩绿-增长已成为我国经济社会发展全面绿色转型的必然选择。基于我国30个省份面板数据(不包含港澳台地区以及西藏自治区数据),运用熵值法、耦合协调度模型和社会网络分析方法,分析各省份间降碳-减污-扩绿-增长协同演变趋势及空间关联网络特征。结果表明:①各省份降碳-减污-扩绿-增长协同效应的变化趋势基本一致,但在空间上呈现东部>东北>西部>中部的区域不均衡特征。②降碳-减污-扩绿-增长协同效应呈现以东部地区为核心的复杂空间网络结构,省际间空间关联性呈上升态势,但网络结构稳定性还有待提高。③北京市、天津市和上海市等地区凭借优越区位,在关联网络中处于主导地位,而宁夏回族自治区、黑龙江省和新疆维吾尔自治区等地区对其他地区的影响较小。④北京市、天津市和上海市等地区属于“主受益”板块,浙江省、广东省等地区属于“经纪人板块”,安徽省、江西省和湖北省等地区属于“净溢出”板块。⑤降碳-减污-扩绿-增长协同效应的空间关联网络受多种因素共同影响,人力资本水平、科技投入、市场化水平和数字经济发展均有利于空间关联关系的建立。研究显示,中国降碳-减污-扩绿-增长协同效应存在空间关联性,需进一步加强省份间的绿色合作与交流,共同推动降碳-减污-扩绿-增长协同发展。

基于EKC理论下碳排放与经济增长的二者关系研究——浙江省与安徽省的对比分析

碳排放与经济增长二者关系协调对积极稳妥推进碳达峰碳中和具有重大意义。论文以浙江与安徽为对比案例,从环境库兹涅茨曲线理论出发,基于脱钩模型和因素分解法,分析1997—2020年省域碳排放与经济增长的EKC曲线、脱钩态势及驱动因素。研究表明,浙江、安徽两省碳排放与经济增长EKC不符合传统倒“U”型曲线,均经历两次拐点,浙江为“N”型EKC,拐点年约为2007年和2014年,对应人均经济总量为36766元和73388元,安徽省为微弱的倒“N”型EKC曲线,拐点年约为1998年和2013年,对应人均经济总量为4452元和32733元;浙江碳排放脱钩由扩张负脱钩向强脱钩与弱脱钩方向转变,安徽以弱脱钩状态为主;能源结构与强度效应对浙江省的碳排放脱钩促进作用明显,而经济增长与能源结构效应对安徽省碳排放脱钩起负向作用。

含裂纹铆钉搭接板的权函数法与扩展寿命分析

铆钉搭接结构是典型的多位置损伤敏感结构,容易在多个铆钉孔边萌生疲劳裂纹,进而威胁飞机结构安全。由于裂纹个数、位置和大小随机多变,铆钉与平板间存在复杂的接触关系。为高效、准确计算多铆钉搭接板的应力强度因子以进行裂纹扩展寿命分析,提出针对搭接结构复杂裂纹问题的权函数分析方法。首先,对多铆钉搭接板的复杂裂纹构型进行合理简化分类,利用其对应的权函数求解应力强度因子。然后,采用有限元分析计算含裂纹多铆钉搭接板的应力强度因子以验证权函数法的计算精度。最后,将经验证的权函数分析方法结合Paris裂纹扩展公式,对铆钉搭接结构进行疲劳裂纹扩展分析,并通过试验验证分析方法的有效性。结果表明,采用权函数法计算的应力强度因子与完全采用有限元方法计算的应力强度因子的相对差别小于5%,分析预测的裂纹扩展寿命与试验结果吻合良好,且计算效率比完全采用有限元法快3个数量级,进而为铆钉连接结构孔边裂纹的应力强度因子和疲劳裂纹扩展分析提供了一个有效方法。

婴幼儿生长速率分析方法的研究现状

婴幼儿生长速率是生长发育基础研究的前沿领域。婴幼儿生长速率的分析方法包括Z评分法、两点指数法、两点平均法、JB生长模型、分段线性混合模型和偏度系数-中位数-变异系数法,影响因素的分析方法包括多元线性回归法、平移法和GLM广义线性模型。对目前国内外常用的婴幼儿生长速率的分析方法进行综述。

“双碳”目标下中国工业碳排放驱动因素及其脱钩效应

通过对位于中国不同区域的辽宁省、湖北省、广东省、上海市、天津市和重庆市6个代表省市2010—2021年间的工业能源消费碳排放量进行计算,利用LMDI对数指数分解法和Tapio脱钩模型相结合的方式分析6省市经济增长与工业碳排放的脱钩动态及影响因素,并比较6省市的差异.研究发现,辽宁省与其他5省市的工业碳排放量及脱钩趋势存在差距,脱钩状态最好的是上海市和重庆市.总体来看,能源强度和产业结构因素是促进工业碳减排及脱钩的关键因素,经济增长则是最大的抑制因子,能源结构因子对于工业碳减排有很大潜力.因此,对于资源型高碳排地区的工业企业,提高能源利用效率、优化产业结构是主要的减碳及促进脱钩的方式;而非资源型经济发达地区工业企业应推动能源结构优化和经济增长方式转型.

低碳城市建设对城市经济增长的影响——基于277个城市的面板数据

本文运用双重差分模型针对2000—2021年中国255个地级及以上城市的面板数据,进行低碳城市试点政策对城市经济增长的影响评估,通过平行趋势检验与安慰剂检验,表现出良好的政策唯一性特征,并进一步分析其中的作用机制和异质性特征。研究发现:低碳城市试点政策能够促进城市经济增长,从分区位来看,东部城市的低碳城市试点政策效应明显高于中西部城市,黄河流域城市受政策影响获得的经济效益要高于非黄河流域城市,从分政策执行批次来看,第一批试点的回归系数最大,其次是第三批次,最后是第二批次,这种正向推动作用主要通过产业结构优化路径实现。

基于经济学沙盘实验的教学模式改革

“西方经济学”课程作为高校财经管理类专业的学科基础课,重在为社会培养应用型人才。本文基于经济学沙盘实验课教学内容及其优点,运用问卷调查法、比较分析法以及经验总结法分析了相关高等院校基于经济学沙盘实验及移动软件等网络层面的教学改革实施效果,并运用因子分析法对经济学沙盘实验引入课堂教学进行了分析,在此基础上提出课堂理论学习与沙盘实验相结合、增加经济学沙盘实验教学占比、通过经济学沙盘竞赛提升学生运用知识的能力等改革教学模式。

祛腐生肌外治法对糖尿病溃疡大鼠血管内皮细胞生长因子(VEGF)及其相关信号通路影响的meta分析和系统评价

目的:系统评价中药外用祛腐生肌法对糖尿足溃疡(DFU)大鼠模型血管内皮细胞生长因子(VEGF)及其相关信号通路的影响并进行Meta分析。方法:在中国知网、万方、PubMed等数据库进行文献检索,检索时间自建库至2022年4月。根据SYRCLE的偏倚风险工具对每一篇纳入文献的研究质量进行评价。使用Review Manager 5.4.1软件根据Cochrane系统评价方法进行Meta分析。结果:包括508只大鼠的19项研究,纳入研究的质量分数都在3~5分。Meta分析结果显示,无论是促进糖尿病溃疡大鼠创面组织中VEGF蛋白表达、增加创面组织中VEGF mRNA水平还是提高大鼠血清中VEFG因子含量,与对照组相比,祛腐生肌治疗组都具有明显的优势[SMD=1.39,95%CI(0.67,2.10),P=0.0002;SMD=5.53,95%CI(0.58,10.11),P=0.03;SMD=1.91,95%CI(0.73,3.09),P=0.002]。亚组分析显示,当对照组为常规换药组时,中药外用促进创面组织中VEGF蛋白表达的优势明显[SMD=2.02,95%CI(1.27,2.78),P=0.0002;SMD=2.06,95%CI(0.16,3.96),P=0.03],当对照组为生长因子换药组时,尚不能证明二者在促进创面组织中VEGF蛋白表达方面有差异[SMD=0.04,95%CI(-0.52,0.61),P=0.88]。同时研究表明,中药外用可能是通过调控HIF-1/VEGF/VEGFR-2信号通路、PI3K/AKT信号通路、Wnt/β-catenin信号通路中的上下游分子的表达,从而影响尿病溃疡大鼠创面组织及血清中VEGF的表达水平,这些分子包括HIF-1α[SMD=2.35,95%CI(1.11,3.59),P=0.0002]、VEGFR-2[SMD=4.52,95%CI(0.63,8.42),P=0.02]、PI3K[SMD=-0.94,95%CI(-1.08,-0.80),P=0.00001]、AKT[SMD=0.28,95%CI(0.22,0.34),P<0.00001]、β-catenin[SMD=0.23,95%CI(0.19,0.27),P<0.00001]、GS3K-β[SMD=0.44,95%CI(0.06,0.82),P=0.02]、Cym-c[SMD=-0.47,95%CI(-0.72,-0.22),P=0.0002]。结论:中药外用祛腐生肌法治疗DFU大鼠创面与其促进VEGF在创面和血清中的表达相关,其机理可能与影响HIF-1α/VEGF/VEGFR-2、Wnt/β-catenin、PI3K/AKT等信号通路的上下游分子有关,但仍需更多的大样本、高治疗、设计更合理的实验来进一步验证。

南部海洋经济圈海洋产业生态系统适应性及影响因素分析

海洋产业生态系统适应性问题是在海洋经济高速增长下实现海洋生态、海洋经济发展、社会资源整合的重大难题。文章从“产业—环境—社会”系统视角构建了海洋产业生态系统适应性评价指标体系,并结合了均方差赋权法、递阶多层次综合评价法以及障碍因素诊断模型来分析2007—2016年南部海洋经济圈海洋产业生态系统适应性的分布特征,得出以下结论:南部海洋经济圈4个省份的海洋产业生态系统的整体适应性指数有所差异,海洋产业、海洋环境、社会子系统的适应性指数在空间分布上也有所不同,大致呈现出上升的趋势;广东海洋产业生态系统的整体适应性指数最高,广西和海南处于较低的水平;影响南部海洋经济圈海洋产业生态系统的适应性主要来自海洋产业子系统和海洋环境子系统。研究结论对于制定有利于实现南部海洋经济圈海洋产业的可持续发展、促进海洋经济发展与海洋生态环境相协调的政策具有重要参考意义。

The Decoupling Relationship between the Expansion of Urban Construction Land and Economic Growth in Jilin Province

In order to explore the relationship between urban construction land and economic development, this paper uses a decoupling model to analyze the decoupling relationship between expansion of urban construction land and economic growth in Jilin Province. The results show that from 2000 to 2015, the decoupling of urban construction land expansion and economic growth in Jilin province tended to be reasonable. The paper divides urban decoupling into three categories. The first type consists of ideal cities, including Liaoyuan and Baishan. The second type includes basic ideal cities like Changchun, Tonghua, Songyuan, Baicheng, and Yanbian. The third type consists of non-ideal cities, including Jilin and Siping. This paper puts forward relevant measures to promote the further decoupling of construction land expansion and economic growth in order to realize the sustainable use of land resources.

数字化对我国农村经济韧性的影响研究

本文通过构建指标体系,在数字化和农村经济韧性测度基础上系统检验了数字化对我国农村经济韧性影响的主要路径和成效。主要结论为:一是通过熵权法从农村经济承受力、恢复力、调整力以及创新力四个方面建立指标体系,发现农村经济韧性在逐步变强;二是通过因子分析法确定影响数字化发展的三个主要公因子为基建与产业支撑因子、成长潜力因子、扩散因子;三是从数字化三个主因因子与农村韧性之间的个体以及整体的关系来看,数字化发展对农村经济韧性具有显著的积极作用,且基建与产业支撑因子对其影响作用最大。

20世纪90年代中国区域经济增长的要素分析

利用中国各省1990～1999年的时间序列数据,采取丹尼森要素分析法,对影响中国各省区工业GDP增长的各要素进行了分析研究。结果表明:尽管资本投入是20世纪90年代GDP增长的主要推动力,但中国各省资本投入的增长差异并不能很好的解释地区经济的差异,而由技术进步和资源优化所呈现的全要素生产率越来越成为地区经济增长的主要力量,也是90年代地区经济发展差异形成的主要因素,由此得出:在现有的条件下,未来中国地区经济差异将出现扩大化的趋势。

Denison因素分析法和中国经济增长

介绍了世界经济发展的不平衡现状 ,指出不同国家的经济增长存在着巨大差异 .简要介绍Solow的余值法和Denison经济增长因素分析法 .在Denison经济增长因素分析法的基础上进行重新讨论 ,并结合实际数据对中国 1979— 2 0 0 0年经济增长进行因素分析 .结论表明 :资本投入的增长仍是中国经济增长的主要原因 ,但技术进步也为中国持续。

农业经济增长及其影响因素的典型相关分析——以山西为例

根据山西省1991～2010年相关的时间序列数据,采用典型相关分析方法,构建了山西农业经济增长及其影响因素的典型相关模型,定量判别分析了各影响因素对农业经济增长的作用程度,得出三对典型相关变量,并对结果进行解释分析,为选择实现山西农业经济可持续增长的政策措施提供客观依据。