数字经济正深刻改变全球经济发展格局,我国数字经济亦在迅猛发展。由于数字经济不断发展,对于数字化人才的需求日益增长,对数字人才管理的要求也越来越多样化、具体化。本研究聚焦长三角地区制造业,通过问卷调查与网络爬虫等手段,分析其数字经济发展趋势及数字化转型现状。研究发现,长三角多数制造业已步入转型阶段,积极看待数字化转型的影响,但仍面临诸多挑战。本文深入探讨了该地制造业数字化转型的阶段、方式及困难,并分析了所需的人才模式,结果表明长三角地区制造业在数字化转型中需克服资金、人才及信息资源等痛点,且数字人才短缺问题突出。因此,构建与数字经济发展相适应的人才培养体系,对推动制造业及其他行业的数字化转型至关重要。The digital economy is profoundly changing the global economic development pattern, and China’s digital economy is also developing rapidly. Due to the continuous development of the digital economy, the demand for digital talents is increasing, and the requirements for digital talent management are becoming more diverse and specific. This study focuses on the manufacturing industry in the Yangtze River Delta region, analyzing its digital economy development trends and digital transformation status through questionnaire surveys and web crawlers. Research has found that most manufacturing industries in the Yangtze River Delta have entered a stage of transformation and are actively considering the impact of digital transformation, but still face many challenges. This article deeply explores the stages, methods, and difficulties of digital transformation in the manufacturing industry in the region, and analyzes the required talent models. The results show that the manufacturing industry in the Yangtze River Delta region needs to overcome pain points, such as funding, talent, and information resources in digital transformation, and the shortage of dig
浙江省“共富光伏农业提升工程”旨在利用光伏技术提升农业生产效益,推动农业现代化,是实现村民共同富裕的重要举措。本文对浙江省11个地级市的50个典型光伏农业案例进行深入调查,采用网络数据挖掘、随机森林模型、结构方程模型等进行数据分析。分析结果表明:“共富光伏农业提升工程”有效提高土地利用效率,减少温室气体排放,但对地表植被造成一定影响。技术上面临成本高、适应性弱、稳定性不足和创新能力有限等问题,且村民增收效果不显著。“工程的结实程度和耐用性”是影响总体满意度的最重要因素。工程发展现状的满意度直接促进了工程未来发展,其效果评价通过影响满意度间接影响其未来发展。最后从政府、企业、村民三视角提出优化路径。The “Common Prosperity Photovoltaic Agriculture Promotion Project” in Zhejiang Province aims to enhance agricultural production efficiency and promote agricultural modernization through the use of photovoltaic technology, serving as an important measure for achieving common prosperity among villagers. This paper conducts an in-depth investigation of 50 typical photovoltaic agriculture cases across 11 prefecture-level cities in Zhejiang Province, employing data analysis methods such as network data mining, random forest models, and structural equation models. The analysis results indicate that the project effectively improves land use efficiency and reduces greenhouse gas emissions, but it also has a certain impact on surface vegetation. Technically, the project faces challenges such as high costs, weak adaptability, insufficient stability, and limited innovation capacity, and the effect of increasing villagers’ income is not significant. “The solidity and durability of the project” is the most important factor affecting overall satisfaction. The satisfaction with the current development status of the project directly promotes its future d
