BRI’s Employment Effect on Participating Countries and Mechanism Analysis

Based on the Belt and Road Initiative(BRI)as a quasi-natural experiment,this paper uses panel data from 124 countries between 2006 and 2019 to build a difference-in-differences(DID)model to investigate the BRI employment effect on participating countries and mechanisms.We observed that the BRI had significantly increased employment rates in participating countries,and that this result remained robust after using the instrumental variable(IV)to mitigate endogeneity and perform a robustness test.There are differences in the BRI’s employment effect depending on the income level,labor conditions,and the digital economy’s development level of BRI countries:compared with low-income countries and lower-middle-income countries,the BRI has a more significantly positive effect on the employment rates of upper-middle-income and high-income countries;the BRI’s employment effect is stronger in countries with higher labor market efficiencies and better labor relations;In countries with higher levels of digital economy,the BRI has a relatively greater positive effect on employment.The BRI has increased employment rates in participating countries on both the supply and demand sides by building infrastructure,interconnecting industries and resources,and improving human capital through the exchange of human resources.Further analysis suggests that the BRI’s employment effect promotes the sophistication of participating countries’employment structures,hence improving employment quality,and that participating countries’employment levels may continue to improve in the medium and long run.

Off-farm employment,agriculture production activities,and household dietary diversity in environmentally and economically vulnerable areas of Asia

Access to off-farm employment has been expected to be a critical approach to ending hunger and all forms of malnutrition,two important targets of achieving Zero Hunger.This study aims to investigate the role of off-farm employment in improving dietary diversity through substitution effect and complementary effect with agricultural production activities and income effect.This study adopts Poisson/Tobit/Probit/OLS regressions and the instrument variable method based on the primary survey data collected among 1,282 households at 12 sites in environmentally and economically vulnerable areas of China,Nepal,Cambodia,Thailand,and Myanmar in 2019.The results show that off-farm employment is positively associated with household dietary diversity and the consumption of flesh meat,fish and other aquatic animals,fruits,and milk and dairy products,which are rich in protein and micronutrients.The results of mechanism analysis show that off-farm employment contributes to household dietary diversity by improving crop diversity,especially for poor households,boosting the probability of livestock raising for households with the middle one-third disposal income,and increasing household income.The positive association between off-farm employment and household dietary diversity is much higher for households with the bottom one-third disposal income,low illiteracy,and from upper-middle income countries.These findings imply that off-farm employment does play a vital role in achieving multiple benefits of poverty alleviation,malnutrition reduction,and agrobiodiversity conservation in environmentally and economically vulnerable areas.However,it may enlarge the gaps in dietary diversity between households with low human capital and from low and lower-middle income countries and those with high human capital and from middle-high countries.

Employment Effect of the Resource-abundant Industrial Cluster in Southwestern Region of Guangxi Zhuang Autonomous Region of China——A Case of Chongzuo City

Taking Chongzuo City of Guangxi Zhuang Autonomous Region as an example, the employment effect of the resource-abundant industrial cluster in southwestern Guangxi Province is analyzed according to the data from the Chongzuo Statistical Yearbook , Guangxi Statistical Yearbook from 2003 to 2008 and the data from the relevant sections of Chongzuo City, and the four employment effects of industrial cluster--the spatial expansion effect of employment chain, optimizing effect of employment structure, the multiplier effect of employment absorption and the effect of improving the quality of labors and the degree of the intensity of employment and location quotient of employment. Results show that the employment absorption of sugar industry in Chongzuo City is stable and upward slightly, and it shows strong employment effect; the sugar industry in Chongzuo is not only competitive, but also has a great share of market in employment, so it owns strong absorption of employment. The countermeasures for improving the employment level of resource-abundant and industrial cluster in southwest of Guangxi Province are put forward, including elongating industrial chain and widening employment space; strengthening various kinds of formal and informal training to improve the employment capability of laborers; laying stress on industrial structure and optimizing the employment structure; strengthening the construction of the industrial economic zone towards ASEAN(Association of Southeast Asian Nations), and fully displaying the regional advantages of the offshore border.

Effects of OFDI on Employment and Skill Upgrading in Its Home Economy

This research empirically examines the relationship between outward foreign direct investment （OFDI） and employment in its home economy. It is marked out from existing studies in the following three respects. First, instead of advanced economies, it focuses on the effect on employment in a newly industrialized economy. Second, it not only addresses the general issue of whether employment or production overseas complements or substitutes for employment in parent companies but also examines how OFDI contributes to skill upgrading in its origin economy, in addition to the quantitative effect. Third, this paper allows the results to vary between labour-intensive industries and technology-intensive industries in order to find the extent to which the home employment effect is moderated by industrial technology intensity. The results demonstrate that the location of investment and industry characteristics matter for explaining the effect of OFDI on home employment. Specifically, we find that while OFDI by Taiwan＇s multinationals in the Chinese mainland depresses employment in Taiwan in both labour- and technology-intensive industries, OFDI in other economies only produces a negative employment effect in technology-intensive sectors. An interesting finding of this study is the evidence of positive effects of OFDI on skill upgrading in Taiwan. This paper supports the argument that relocation of productivity overseas axes low-skilled workers at home. Moreover, OFDI in the Chinese mainland has a particular positive impact on skill upgrading in the home industry, lending support to the view that multinational enterprises （MNEs） outsource labour-intensive goods from their affiliates in low-income economies.

An Analysis of Employment-promoting Effects of Employment Service Policies-Based on Family Development

This paper aims at improving the employmentpromoting effects of employment service policies(ESP) to enhance family development. Based on process evaluation methods of public policy, there are three positive effects of ESP, but despite these effects we cannot overrate the performance of ESP. The problem is the double segmentation between urban and rural areas as well as among different regions, the poor basic fund, and the deviation of positioned policy support objects. Hence, China should regulate ESP as soon as possible to benefit family development.

A New Look at an Old Issue:A Review on College Student Employment in the United States

With the high prevalence and intensity of working among undergraduate students in almost all of the institutions in the United States,it is important for higher education researchers,faculty and college administrators to better understand the needs and challenges of working students in trying to achieve college success.This paper analyzes the negative and positive effects of employment on college students and shed a light on the increasing number of students who are involving in part-time job in China.

Agglomeration and Employment Density:Test Based on Panel Data of Prefecture-Level Cities of China

Related factors for measuring urban agglomeration effect were studied firstly.Then,panel data of 283 prefecture level cities of China were collected to analyze the effect of agglomeration on employment density.Besides,fixed effect model was applied to analyze static panel data,and two-step generalized method of moments(GMM) estimator was employed to analyze dynamic panel data.Results reveal that per capita regional GDP,public medical care level,and population mobility have significant effect on employment density.Therefore,there exists effect of agglomeration economy in prefecture level cities of China in the current stage.

A Focus： Epitomizing Approaches of Effective Employability Skills

The present paper reveals the pivotal challenges of fast changing global work environment and industrial needs. Employability skills need to be checked rather than unemployment problem in India. The paper further aims to explore the necessary skills to the challenges of globalizing trends. The issues, approaches, and remedial strategies are focused with reference to the people＇s skills. As the reflections of quality and competence depend on transparency and accountability of the organization, it is necessary to improve the required skills which enhance the levels of confidence. The potential employer＇s requirements are need to be worked very keenly by the institutions. The paper also deals with the effective learning process, which is at par with global counter parts. Exposure to the universal student-centered learning is emphasized to enhance the very crucial pace of work place. Finally this paper studies effective micro and macro issues regarding the dynamics of the industry by applying a broad range of employability skills complementing the technical skills.

Contribution of the MERISE-Type Conceptual Data Model to the Construction of Monitoring and Evaluation Indicators of the Effectiveness of Training in Relation to the Needs of the Labor Market in the Republic of Congo

This study proposes the use of the MERISE conceptual data model to create indicators for monitoring and evaluating the effectiveness of vocational training in the Republic of Congo. The importance of MERISE for structuring and analyzing data is underlined, as it enables the measurement of the adequacy between training and the needs of the labor market. The innovation of the study lies in the adaptation of the MERISE model to the local context, the development of innovative indicators, and the integration of a participatory approach including all relevant stakeholders. Contextual adaptation and local innovation: The study suggests adapting MERISE to the specific context of the Republic of Congo, considering the local particularities of the labor market. Development of innovative indicators and new measurement tools: It proposes creating indicators to assess skills matching and employer satisfaction, which are crucial for evaluating the effectiveness of vocational training. Participatory approach and inclusion of stakeholders: The study emphasizes actively involving training centers, employers, and recruitment agencies in the evaluation process. This participatory approach ensures that the perspectives of all stakeholders are considered, leading to more relevant and practical outcomes. Using the MERISE model allows for: • Rigorous data structuring, organization, and standardization: Clearly defining entities and relationships facilitates data organization and standardization, crucial for effective data analysis. • Facilitation of monitoring, analysis, and relevant indicators: Developing both quantitative and qualitative indicators helps measure the effectiveness of training in relation to the labor market, allowing for a comprehensive evaluation. • Improved communication and common language: By providing a common language for different stakeholders, MERISE enhances communication and collaboration, ensuring that all parties have a shared understanding. The study’s approach and contribution to existing research lie in: • Structured theoretical and practical framework and holistic approach: The study offers a structured framework for data collection and analysis, covering both quantitative and qualitative aspects, thus providing a comprehensive view of the training system. • Reproducible methodology and international comparison: The proposed methodology can be replicated in other contexts, facilitating international comparison and the adoption of best practices. • Extension of knowledge and new perspective: By integrating a participatory approach and developing indicators adapted to local needs, the study extends existing research and offers new perspectives on vocational training evaluation.

生态产品价值实现与城乡融合发展——基于城乡融合发展试验区的实证研究

生态产品价值实现对于巩固和拓展脱贫攻坚成果和实现乡村全面振兴,推动城乡融合发展具有重要意义。本文以2013—2020年城乡融合发展试验区77个区县为研究对象,构建评价体系并结合熵值法衡量城乡融合发展水平,明确生态产品价值实现流程,在此基础上,考察生态产品价值实现对城乡融合发展的影响效应及作用机制。研究发现,生态产品价值实现能显著促进城乡融合发展,在克服可能存在的内生性问题后,生态产品价值实现对城乡融合发展的影响效应仍然稳健;生态产品价值实现对城乡各系统层面融合也具有明显的促进作用;生态产品价值实现对城乡融合发展的影响主要基于环境效应和就业效应两个方面发挥作用;异质性分析发现,生态产品价值实现对东部和中部板块城乡融合发展均有正向促进作用,但是西部板块生态产品价值实现对城乡融合发展的促进作用并不显著。

冬奥会促进就业:国际镜鉴与中国方略

承办冬奥会是张家口市千载难逢的发展契机,在经济下行压力增大的背景下,如何借助冬奥会综合效益推动城市经济增长、缓解就业压力亟需破题。基于此,文章聚焦冬奥会促进举办城市就业这一议题,在劳动经济学、区域经济学理论指导下,利用文献资料法、数理统计法及对比研究法,研究了冬奥会促进举办城市就业的特殊价值与历史经验,并以此为关照,在测算2022年冬奥会对张家口市直接就业带动贡献的基础上,尝试提出后冬奥时代张家口市就业促进的优化策略。

数字基础设施的家庭收入效应——基于中国家庭金融调查(CHFS)的实证研究

数字基础设施建设践行与彰显共同富裕的本质要求。基于2011—2019年五轮中国家庭金融调查(CHFS)数据,借助“宽带中国”战略准自然实验,研究了数字基础设施建设与家庭收入之间的关系。研究发现,数字基础设施建设显著提高了家庭收入,而且还有效抑制了收入差距。从作用机制来看,数字基础设施建设通过增加创业机会、就业机会,提高家庭收入,具有显著的“创业效应”和“就业效应”。数字基础设施建设的家庭收入效应在城市、城镇化率高的地区,年龄中等、受教育程度高的群体中更为显著,表现出明显的地区差异和人力资本差异。

技能型社会建设背景下职业教育与技能型人才就业

技能型社会建设是我国应对技能短缺挑战的核心战略,其劳动力市场发展目标包括公众技能水平显著提升;产业、行业、岗位技能短缺情况明显改善;技能空间配置日趋合理。有效技能供给是达成这些目标的关键,它的实现依赖于职业教育体系、劳动力市场和劳动力市场发展目标的协同发展。实证分析表明,我国高等职业教育的规模扩张提升了全社会的技能人才供给总规模。高职毕业生的初次就业流动在一定程度上影响了技能人才的产业转移、行业配置、岗位供给和空间分布,毕业生向高技能人才的转型受到数字/平台经济、零工经济和新就业形态的影响。为提升职业教育对技能型社会建设的支持力度,需进一步研究劳动力市场形态的新变化及其对职业教育发展和技能人才配置的影响,并以此为基础制定合理的技能型社会发展战略。

数字经济与技能工资差距——基于CFPS的微观证据

随着引领新一轮科技革命和产业升级的数字技术发展,数字经济必将对中国的就业和收入分配格局产生重大影响,使技能工资差距呈现新特征。通过测度2018年中国各行业的数字经济发展水平,借助普通最小二乘法、无条件分位数回归与Oaxaca-Blinder分解等方法,考察数字经济发展对技能工资差距的影响及其作用机制。结果发现:(1)数字经济显著提高了低技能劳动者工资收入,且能缩小低技能群体和高技能群体内部中低收入差距;(2)数字经济能通过就业创造效应和时间投入效应为劳动者提供更多就业机会和就业岗位,提高工作强度,缩小技能工资差距,但职位晋升效应难以充分发挥;(3)数字经济对不同行业部门和不同社会资本群体的技能工资差距的影响存在显著的差异性。据此提出继续推进数字技术发展、积极探索数字经济背景下对高收入的规范与调节路径、完善对低技能群体的劳动权益保障体系、加强学习型社会建设,并以数字化改革推动公共服务高质量发展和实现基本公共服务均等化等政策建议。

人口老龄化与劳动力就业质量

推进就业优先战略、保障高质量充分就业是实现社会经济高质量发展、增进民生福祉的关键举措.与此同时,老龄化程度的加深对经济发展、产业结构与要素投入调整产生了广泛而深远的影响.为此,基于我国2006—2021年省级面板数据,运用熵值法对各省劳动力就业质量进行测算,并采用双向固定效应模型和调节效应模型探究了人口老龄化对高质量就业的影响.研究发现,人口老龄化抑制我国劳动力就业质量提升,人工智能的发展带来的外部环境和技术创新水平的提升可以削弱人口老龄化对就业质量的消极影响.

数字金融对就业水平的影响--兼论碳排放水平的调节作用

本文基于2011—2021年中国31个省份面板数据,通过不同计量模型系统考察了数字金融对地区就业的影响效果、异质性特征及作用机制。研究发现:数字金融可以从覆盖广度和使用深度两个分维度提升就业水平;在中国四大区域中,数字金融对东部、中部和东北地区的就业水平促进效果显著为正,对西部地区影响效果不显著;数字金融对第一产业的就业水平具有显著的负向作用,对第二产业的就业水平具有显著的正向影响,对第三产业就业水平影响不显著;数字金融对地区就业水平的促进作用存在“马太效应”,进一步扩大了就业水平的地区差距。在低碳转型的背景下,从整体来看,碳排放水平在两者中的调节作用并不显著,但碳排放水平在数字金融对第三产业的影响中存在负向调节作用,且该调节作用存在双重门槛,随着碳排放量增加,数字金融对地区第三产业就业水平的促进作用逐步减弱。以上研究结论可为准确把握数字金融带来的经济转型机遇、制定碳排放政策、缓解地区就业压力提供有益启示。

内蒙古自治区就业质量有效性评估指标体系设计及运用

就业率和失业率一直都是研究就业的主要内容,它们可以作为研究就业现状的指标,但更应该关注就业质量问题。新常态下,供给侧结构性改革引发了劳动力供需不匹配、结构性就业矛盾等问题,即劳动力供需不匹配与就业质量水平较低。在此背景下,内蒙古自治区提升就业质量的重要性日益凸显。

中国式现代化进程中产业数字化的就业效应研究

产业数字化是数字经济的重要组成部分,在加速推进中国式现代化的过程中,数字经济对于促进就业增长发挥着越来越重要的作用。利用2006—2019年中国265个城市数据和企业信息数据,实证检验了产业数字化的就业效应和影响机制。研究发现,产业数字化可以有效促进就业,并主要通过产业结构升级、提升创业活跃度促进就业,但提高生产效率也会抑制就业。异质性分析表明,在制造业、采矿业等从事简单重复和危险工种的劳动力,往往会受到产业数字化发展的负面影响,就业机会减少。进一步研究发现,产业数字化能够显著提升就业质量,优化就业结构。因此,建议加快数字经济发展,促进数字经济和实体经济融合;加快传统产业结构升级改造,拓展产业链的长度、宽度和深度,创造更多就业岗位;提高城市创新能力,提升创业活跃度,通过创新创业带动就业。

人工智能技术进步对高技术制造业就业结构的影响路径研究

从偏向型技术进步理论视角,探究人工智能技术进步的多因素组态效应对高技术制造业就业结构的影响路径及机制。采用定性与定量相结合的混合研究设计,以2018—2020年中国30个省份数据集为样本进行了fsQCA实证分析。研究发现:(1)高技术制造业就业结构变化的前置因素存在组态效应,且人工智能相关产业投入、工业机器人投入、产业转型升级、制造业智能化水平、适龄劳动力占比、劳动力受教育程度均非单独的必要条件;(2)存在4条驱动高技术制造业劳动力占比增加的路径,包含产业转型-人才素质型、产业智能-人口红利型、机器替代-人才稀缺型、机器智能-人口红利型;(3)制造业智能化水平、制造业转型升级程度、适龄劳动力人口占比,以及制造业智能化水平、劳动力受教育程度是促进高技术制造业劳动力占比增加的两类核心条件组合。为推动偏向型技术进步从单一视角向多维视角的转变奠定了基础,也为地区管理部门投入人工智能促进高技术制造业健康发展提供了实践启示。

减税激励、企业投资与资本配置效率——来自小微企业的证据

小微企业是我国社会主义市场经济的重要参与主体,在促进经济发展、改善民生、增加就业等方面具有不可替代的作用。本文基于2010—2018年全国税收调查数据,采用双重差分方法,检验了企业所得税减半征收政策对小微企业投资行为的影响。研究表明,所得税减半征收通过增强小微企业的“投资动机”和“投资能力”促进企业固定资产投资的增加,并且所得税减半征收政策对非制造业、未享受政府补助企业和融资约束较强的小微企业投资的促进作用更为明显。进一步分析表明,所得税减半征收政策提升了小微企业的资本配置效率,增强了小微企业吸纳就业的能力,但并未增强小微企业的研发创新能力。总体而言,本文肯定了所得税减半征收政策对小微企业的积极影响,为完善小微企业税收优惠政策、推动经济社会高质量发展提供了有益参考。