Grey analysis of the relationship between grain output and major input factor in Guizhou Province:1983-2005

Because conditions for the grain production are not favorable and the input in the production factors ofmodern agriculture is not sufficient, the grain supply has been less than the demand for a long time. By means of greycorrelation analysis, this paper deals with the correlation situation among such input factors as the grain sown area, thetotal power of agricultural machinery, the fertilizer utilization volume, the actual irrigation area, the damage area, thenumber of farming labor force, in order to understand the major restricting and driving forces that have affected thegrain output in the recent 23 years. The analysis shows that the grain sown area and fertilizer utilization volume are thetwo most important leading factors that affect grain production in Guizhou Province, while the damage area and the totalpower of the farming-used machines are the following factors. Fertilizer utilization volume and the actual agriculturalmachinery and irrigation area are the two increasingly influential factors that affect grain production. The influence of thefarming labor force upon grain production became less strong. The main measures to increase grain production outputin Guizhou Province are to stabilize the arable land, increase the actual irrigation area, expedite the transfer of thefarming labor force and increase the input of modern agriculture.

The Effects of Input Factors on the Growth of the Agricultural Economy Empirical Study of Syria

This paper analyzes the effect of input factors on the growth of the agricultural sector in Syria. It estimates the relationship between input factors and agricultural economic growth in Syria using cointegration analysis and Granger causality analysis. The results of the analysis show that： （1） The increase of agriculture labor force and financial support played a vital role in the agricultural economic growth in the long term; （2） The increase in agricultural land and capital investment is significant in promoting agricultural economic growth in the short term; （3） Agricultural capital investment and agriculture labor force are the Granger causes of the agricultural economic growth.

Grey Correlation Between Agricultural Input Factors and Regional GDP Growth in Anhui Province

In order to analyze the relation between agricultural input factors and economic growth in Anhui Province,the evaluation index system of agricultural input is built from the perspectives of subject,object and tools based on grey system theory. The government investment in agricultural science and technology is selected as the index of labor subject,that is labor-related index(X1) ,the total sown area of crops is selected as the index of labor object(X2) ,the investment in rural water and electricity construction is chosen as the index of tools(X3) ,and the GDP of Anhui Province is denoted by X0. According to the relevant data,the improved model of grey correlation analysis is adopted to calculate the correlation among the investment in agricultural water and electricity construction,total sown area of crops,government investment in agricultural science and technology,and the GDP in Anhui Province during 2004-2008. Results show that investment in agricultural science and technology contribute the largest to GDP growth,the increase and change of the total sown area and the investment in rural water and electricity construction have a weak correlation with GDP,they are in a less consistent development trend. On this basis,the government of Anhui Province further proposes to increase the investment in agricultural science and technology,enhance the protection of arable lands,keep the total sown area of crops,and properly maintain the rural water and electricity construction.

Factor input structure,environmental policies,and the export quality upgrade:a perspective of heterogeneity

In the analysis of how environmental regulation affects the comparative advantage of trade,existing literature ignores industry's inherent heterogeneity, which draws remarkably different conclusions. In view of this, the paper analyzed the mechanism of environmental regulation on the export quality of different industries from the perspective of factor input structure heterogeneity. Based on the panel data of China's manufacturing industry, the paper used the system generalized method of moments method to examine the heterogeneity influence of environmental regulation on manufacturing export quality. The study found that, first, environmental regulation affected the export quality upgrade of the manufacturing sector through offset effect and compensation effect, and the direction of the impact would mainly depend on the industry's factor input structure. Second, for industries with larger fixed-asset investment(FAI) ratio in the factor input structure, the current environmental regulation policy was not conducive to the export quality upgrading of the industries. However, there was a significant U-shaped dynamic relationship between them. As environmental regulations became stricter, when regulatory stringency went beyond the inflection point, the policy would promote the upgrading of export quality. But for industries with smaller proportion of FAI, environmental regulation exerted a favorable impact on the export quality upgrade, following a J-shaped marginal growth curve.Third, for industries with different factor input structure, their export quality had been effectively upgraded as expected by factors like human capital investment, independent R&D, technology introduction, and foreign direct investment; but raising per capita capital stock and expanding enterprise size did not produce significant direct impact on export quality upgrade. These conclusions remained robust after using different measurement methods and replacing with other variables. Therefore, this paper suggests that governments should take industry heterogeneity into consideration and formulate differentiated hierarchical environmental policies.Besides, they should strengthen the enforcement of the current environmental regulation policies. By doing so, enterprises are forced to improve their technology and product quality so that they can better cope with rising compliance costs, eliminate backward industries, and resolve excess capacity. In this way, the economic structure would be transformed and upgraded from the supply side.

Positive Research on China’s Economic Growth Quality——Analyze the Fluctuating Situation of the Factor Input and Aggregative Productivity

To analyze China’s fluctuating situation of the factor input and aggregative productivity is not only the main method to seek the source of the economic growth but also the main way to weigh the level of economic growth quality.As to economic growth ofa country,the improvementofthe productivity is extremely important.The growth of the output can be realized through two kinds of ways: increasing the quantity of factor input of or improving the efficiency of the input and output.There fore, the level of economic growth quality does not mainly depend on the amount of invested factor,but the importance of improving the productivity since resources are rare. The relative improvement of efficiency in use of the invested factor marks the economic growing quality.So,in order to understand the economic growth quality of China to some extent, it must analyze Chinese factor input and aggregative productivity. This is the main topic that this text will be probed into.

Rice Growers' Behavior of Productive Capital Input and the Influencing Factors——A Case Study of the Jiamusi Area in Heilongjiang Province

This article conducts empirical analysis of rice growers' behavior of productive capital input and the influencing factors,using the input-output survey data concerning rice growing by 305 peasant households in 2009 in Huanan County and Huachuan County,Jiamusi City,Heilongjiang Province.I use Logit model to carry out econometric test of factors influencing the possibility of fixed productive investment.The test results show that family size,the proportion of non-agricultural employment,the average educational level of households,farmland area,household farming income,credit level,peasant households' expectation of the minimum purchase price of rice,have significant effect on whether to conduct fixed productive investment,whether there are disasters has no significant effect on the scale of peasant households' productive investment.Then I use Tobit model to carry out econometric test of factors influencing the scale of productive capital input.The results show that family size,the proportion of non-agricultural employment,the average educational level of households,farmland area,household farming income,credit level and family housing value,peasant households' expectation of the minimum purchase price of rice,whether there are disasters,have significant effect on the scale of peasant households' productive investment.On the basis of model test results,in order to promote the rice growers to increase fixed productive input and increase productive capital input,rational recommendations are put forward as follows:raising the minimum purchase price of rice,scaling up rice growing,making every effort to promote the educational level of rice growers,ensuring that the rice growers obtain productive capital input loans timely.

Influence of Factor Input on Forestry Economic Growth of Jilin Province

Forestry is a fundamental industry of national economy. In social development of human beings,forestry plays an essential role in expanding employment,realizing rural prosperity and safeguarding ecological safety. This paper firstly introduced current development situations of forestry in Jilin Province. Then,it analyzed influence of factor input on forestry economic growth of Jilin Province by linear regression analysis method. Finally,it came up with pertinent recommendations.

Farmers' Behaviors on Agricultural Technology Inputs and the Influencing Factors of Their Behaviors——Based on the Investigation of 276 Rural Households in Deyang City, Sichuan Province

On the basis of expounding farmers' behaviors on agricultural technology inputs studied by the foreign scholars; relying on the investigation data of 276 rural households in Deyang City, Sichuan Province and by using the Logistic Regression model, the farmers' behaviors on agricultural technology inputs and the influencing factors on their behaviors are analyzed. The results show the main factors that influence farmers; behaviors on agricultural inputs are whether they have the assistance of agricultural technology personnel; the choices of plantation; non-agricultural income; area of land management; the expectation on land ownership, whether it has township enterprises and the proportion of the non-agricultural labor forces and some other factors. The influencing degree of these factors descends from strong to weak. On the strength of the study results, the countermeasures on increasing local farmers' inputs on agricultural technology are put forward from the aspects of stabilizing rural land property, establishing scientific land transfer mechanism and intensifying the governmental functions of agro-technical station.

Agricultural Development of Nanjing Suburban Counties based on Contribution Models of Production Factors

According to data in Nanjing Statistical Yearbook, contribution made by agricultural production factors was analyzed with contribution models of agricultural factors and the results showed that with restriction of labor force and land, Nanjing suburban counties have entered into a stage of ＂high input-high output＂, considering no matter from agricultural total value of output or from agricultural added value. In future, structure configuration of agricultural input factors should be optimized in Nanjing suburban counties by technology input to improve agricultural technology and technical efficiency in order to further achieve sustainable development of agriculture.

农户种植饲草料投入产出及种植行为影响因素研究——以内蒙古巴彦淖尔市杭锦后旗和磴口县为例

国内消费结构及农业结构调整背景下,中国畜牧业迅速发展,饲草料需求不断增加,但是国内饲草料供应不足、安全问题凸显。在“粮改饲”试点旗县进行实地调研,了解当地农户饲草料种植的投入产出情况,利用Logit、2SLS及LIML模型对农户种植饲草料行为的影响因素进行实证研究。结果显示,调查区域农户种植的饲草料主要以青贮玉米、苜蓿及燕麦草为主,种植苜蓿草的经济效益比其他饲草料高,2021年苜蓿草纯收益可达22 005元/hm^(2),比青贮玉米和燕麦草分别高出4 590元/hm^(2)元和12 180元/hm^(2),但是农户种植饲草料尤其苜蓿草的积极性并不高。探究农户选择种植饲草料行为的影响因素,发现政策激励、土地禀赋及组织制度因素对农户饲草料种植行为有显著的正向影响,提出政府应该尽快建立完善的土地流转市场体系,助力农户扩大种植规模,顺利进行种植业结构调整,加大饲草料种植面积,促进为养而种的良性循环,解决养殖业饲草料短缺问题以及鼓励各类合作社发挥合作制度优势,帮助农户降低种植饲草料的投入成本,拓宽饲草料的销售渠道,增加农民收入的对策建议。

数字技术如何驱动制造业升级?——基于WIOD跨国数据的经验证据

在新一轮技术革命和产业变革的时代背景下,如何推进制造业升级成为当前各国普遍关注的重要问题。聚焦制造业产业内升级,从生产要素投入的角度测度制造业对数字技术的依赖程度,分析数字技术对制造业升级的作用机制和异质性影响的研究表明:数字技术对制造业升级具有显著的正向影响,是促进产业转型升级的新动能;内在机理表明,数字技术主要通过优化生产要素投入结构、提高资源配置效率和促进制造业服务化转型实现对制造业升级的促进作用;异质性分析表明,数字技术对制造业升级的促进作用在网络基础设施完善、贸易壁垒低的国家体现得更为明显,同时受制造业技术水平、数字技术来源的异质性影响。

劳动投入水平、要素禀赋与农户行为可分性检验——基于南方稻农地块层次数据的验证

生产和消费行为交织在一起是农户的重要特征。农户的生产和消费行为是否可分成为众多农户行为模型的基本假设前提,直接影响农户行为分析的结论和政策建议的合理性。通过构建农户模型,从农户农业生产劳动投入水平与家庭人地禀赋关系的视角切入,分析不同要素市场条件下农户行为可分和不可分特征。在此基础上,利用2015、2019年对中国南方稻农地块层次调研的混合截面数据对农户行为可分性进行实证检验。结果表明,当前中国南方稻农行为呈现出可分性特征,在处理了内生性、替换核心解释变量、替换被解释变量,结果依然稳健。进一步分析表明,劳动力市场越完善,农户行为可分性特征越明显;随着时间的推移,农户行为由不可分性向可分性发生转变。与前期关于农户行为可分性检验从劳动力配置视角切入不同,从劳动力投入强度和要素禀赋之间的关系来验证农户可分性,并利用一手调研的地块层面数据进行验证,为基于要素市场识别农户行为可分与不可分的具体情境研究提供了新的视角和经验证据。

深度协同感知的因子分解机

因子分解机(Factorization Machines,FM)在不同的输入实例中对每个特征产生单一的固定表示,忽略了特征的多语义特性,限制了点击率(Click-through Rate,CTR)预估模型的表示和预测能力.针对这一问题,提出一种深度协同感知的因子分解机模型,引入多语义交互感知网络和三重输入感知网络,通过多语义的特征域交互并融合不同层级的特征交互信息学习不同样本的感知因子,从而获得更加准确的特征表示.通过模型对比实验和消融实验表明:该模型可以有效提升点击率预测的准确性.

一个包含数据要素的经济增长模型:生产率效应与数据要素化

数字经济时代,数据成为独立生产要素,是科技创新的新引擎和经济高质量发展的新动能。从纯数字资产与数据匹配性投入共同组成数据要素化投入的角度理解数据生产要素化,使用数据匹配性投入综合得分对中国数据要素化投入进行时空分析和生产率效应分析。结果表明,中国数据要素化投入存在明显的区域差异,基于数据要素化投入对经济产出的积极作用,其对区域经济协调发展具有重要作用;数据匹配性投入价格持续下降会影响生产要素间的交互作用,数据生产要素的使用带来生产方式的根本变革;数据生产要素化基于数据间的互联互通和经济融合,能够加快数据确权,促进生产要素合理配置,从而推动产业创新和经济高质量发展。

新型基础设施建设的生产率提升效应——基于“索洛悖论”的视角

新基建是经济逆周期调节,破解区域市场分割和要素流动阻碍,建立全国统一大市场的重要抓手。利用2012-2021年中国省级面板数据,实证考察了新基建对地区生产率的提升效应。研究发现,“索洛悖论”在新基建大潮中并不符合中国实际,新基建显著提升了地区生产率。机制研究表明,新基建可通过产业结构转型升级和区域创新赋能地区生产率;财政投入抑制了新基建对地区生产率的提升效应。异质性分析发现,无论按劳动力人口流动、市场化进程、政府与市场关系,还是要素市场发育程度分组检验,结果均表明新基建对经济相对落后地区的生产率提升效应更为显著。进一步分析表明,新基建促进了地区技术进步,对技术效率没有显著影响。

技术融合与企业出口产品质量--来自中国工业企业的经验证据

技术融合是提高科技成果转化和产业化水平、实现经济高质量发展取得新突破的关键。推动中国迈向贸易强国的背景下,研究技术融合究竟如何影响中国企业出口产品质量的问题尤为重要。使用2000—2013年中国工业企业数据作为研究样本,构建固定效应模型,系统考察技术融合对企业出口产品质量的影响及作用机制。研究发现,技术融合的深化显著提升了企业出口产品质量。异质性分析表明,技术融合对企业出口产品质量的提升作用在非国有企业、非外资企业以及沿海企业中表现更为突出。机制检验发现,技术融合深化能够提升企业全要素生产率以及固定成本投入效率,最终实现企业出口产品质量升级;市场化程度以及政府支持力度会在技术融合提升企业出口产品质量过程中发挥正向调节作用。因此,应进一步深化技术融合,搭建高效的交流合作平台,加速优质要素资源流动,重点培育本土企业自主创新能力,实现出口产品质量升级。

产业数字化如何走“实”向“深”?——数字要素全产业链溢出的内在逻辑与测算实践

随着数字技术的持续更新迭代,数字服务逐步推进生产管理模式向平台化、系统化变革,促使产业数字化向“技术+服务”融合赋能的模式演变。本文将产业数字化解构为数字要素的产业间价值溢出过程,运用投入产出技术定量测算数字要素溢出程度及驱动因素,从而基于技术、服务双维度探究数字要素赋能产业升级的内在机制,为推动现代化产业体系建设提供理论参考。研究发现,数字技术通过替代并协同传统技术推进产业升级,而数字服务通过优化中间环节进入再生产过程,实现跨部门的协同共享与资源整合,延长并创新产业链条,提升全产业链经济效率。目前国民经济各主要部门基本转向服务主导的数字化转型阶段,产业间价值联动能力显著增强,全产业数字化增量转型的链式特征逐步显现。同时,数字技术溢出受数字创新效应驱动并通过产业自主数字创新延续,数字服务溢出受需求拉动效应影响,产业间流转缓慢,产业数字化内生动力仍待开发。

Study on comparison between absolute and relative input energy spectra and effects of ductility factor

Based on 266 strong ground motion records, an attenuation relationship was developed for both absolute and relative input energy spectra. The comparison of the two kinds of input energy spectra constructed from the attenuation relationship was made in this paper. The results show that there is little difference between the absolute input energy spectra and relative input energy spectra at the periods of 0.5-1.0 s for elastic systems and at the period of 0.5 s for inelastic systems. The absolute input energy spectra are much larger than relative input energy spectra in very short period range but some less than relative input energy spectra in long period range. It is also found that the ductility factor has a significant effect on both absolute and relative input energy spectra. The absolute input energy spectra increase with the increasing of ductility factor in the period range of less than 0.3 s but decrease in the period range of larger than 0.3 s. The absolute input energy spectra for different ductility factor are almost equivalent at the period about 0.3 s, but for relative input energy spectra, the period is about 0.5 s. The effect of ductility on the relative input energy spectra in the short period range is much larger than that on the absolute input energy spectra, especially on the softer site class.

中国战略性新兴产业投入产出表编制及部门结构分析

编制2020年战略性新兴产业投入产出表对深入考察战略性新兴产业现状、合理配置行业资源、调整产业结构具有深远意义。编制过程中的主要难点在于分离系数的确定,为此文章创新性地将时间比例因子漂移法与传统就业人数法相结合,有效提升了数据的科学性,为常常受制于数据可获得性的分离系数提供了有效参考。基于时间比例因子漂移法的编制结果表明,战略性新兴产业部门大多存在乘数效应和溢出效应强的现象,相较而言,反馈效应占比则处于弱势;战略性新兴产业需求对劳动者报酬的拉动主要是由技术更新换代较快的产业,如新一代信息技术产业所引发;进一步地,由网络密度、凝聚子群、网络出入度从供需视角观测战略性新兴产业部门间经济技术联系程度并分辨产业链中的上下游部门。

资本投入取值:取存量还是流量,用资产还是资本?

资本投入使用资产、固定资产还是资本、资本回报,这对全要素生产率的计算结果影响甚大。本文分析学术界关于资本投入的主要代理变量之后认为,资本投入代理变量的选择应当回归资本的原始含义使用资本流量指标。企业的现金流量表提供了资本投入、劳动投入、产出的当期流量的会计核算结果。使用当期流量指标能将全要素生产率各主要变量的计算口径统一为基于现金流量核算的当期流量,计量单位亦能统一为货币价值量。建立在统一会计核算制度基础上的全要素生产率的计算结果,可以实现同一时期同一主体计算结果的可比。这一建议能使企业、产业、区域、国家的全要素生产率计算方法统一起来,而且这种建立在定期披露的会计核算数据基础之上的全要素生产率及其变化的计算结果也能直接用来指导经济领域的实际工作。