![为什麽加拿大科技工作者愿意往美国跑?](https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTwpj738seYkCBpN2eAsIf2mAcSlbe4wH5OpjvlUsr7FMh1pN_CHyoRI6a61xdS4lypWF4&usqp=CAU)
一项新研究表明,美国科技工作者的平均工资比加拿大同行高46%。
多伦多城市大学(Toronto Metropolitan University,TMU) The Dais 公共政策研究所周四发布的一项研究发现,加拿大科技行业员工的年薪为83,700元,而美国行业的员工年薪为122,600元,这大概就是为什么加拿大科技工作者愿意往美国跑的根本原因。
这份报告综合考虑了汇率和生活成本,量化了一个长期以来行业已经知晓的残酷现实 —— 美国的科技工作者薪酬更高。
但报告的作者Vivian Li、Mahmehr Hamza和Anusha Arif强调“沉迷于较低的工资并庆祝有利于他们的经济衰退将是错误的焦点。”
相反,他们认为这份报告应该被视为一种行动的呼吁。
高级经济学家Li说,这基本上是在敲响警钟,我们需要加大努力来扩大加拿大科技公司,吸引初创企业和规模扩大,并吸引外国投资和风险投资进入加拿大科技行业,以便公司能够支付与美国科技行业类似的有竞争能力的加拿大科技工作者。
如果国家不采取措施,就会进一步加剧人才外流问题,这个词汇指的是加拿大人大规模移居美国,这对加拿大的科技行业造成了严重冲击。
![为什麽加拿大科技工作者愿意往美国跑?](data:image/jpeg;base64,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)
根据2018年一项基于多伦多大学、UBC大学和滑铁卢大学2015年和2016年毕业生的LinkedIn个人资料的研究,66%的软件工程和30%的计算机科学学生毕业后离开了加拿大工作。
多伦多大学和布鲁克大学的研究人员发现,学生之所以移居美国,是因为他们认为大型雇主会提高他们未来的就业前景,他们的工作范围会更广,而且承诺的工资更高。
这项研究发现,至少10%的薪资差距归因于加拿大的科技工作者中有更多人是兼职或未全年工作,而不像在美国那样。
当只研究加拿大全职全年工作的员工时,研究称与美国差距为34,800元,这减少了总体薪资差距的10%。
除了薪资上的差距,这项研究还发现,美国科技工作者的平均持股价值是加拿大科技工作者的两倍。
研究发现,美国典型的科技工作者的原始股股票补偿比加拿大典型的科技工作者多41%。
激励性薪酬,通常在年底根据绩效目标发放的奖金,在美国也更高,美国典型的科技工作者的激励薪酬比加拿大典型的科技工作者高出43%。
![为什麽加拿大科技工作者愿意往美国跑?](data:image/jpeg;base64,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)
这项研究还探讨了性别和种族差距,发现加拿大男性科技工作者的典型年薪为86,600元,而加拿大典型的女性科技工作者的年薪为74,000元。
研究称,在美国,南亚、华裔或日本科技工作者的典型年薪属于最高水平,年薪高达160,000元以上。
而在这些群体中,加拿大典型的科技工作者年薪达83,000元,这也是各种种族身份中最高之一。
在加拿大,属于黑人、阿拉伯人或菲律宾人的科技工作者的中位工资最低,不到77,000元。