非常規(guī)石油和天然氣對于公共教育的影響Impacts of Unconventional Oil and Gas Booms on Public Education A Mixed-Methods A
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非常規(guī)油氣開發(fā)已經(jīng)徹底改變了全球能源市場,特別是在美國。快速的工業(yè)擴張在社區(qū)一級也產(chǎn)生了重大而廣泛的影響。本研究深入研究了賓夕法尼亞州、俄亥俄州、西弗吉尼亞州、北達科他州、蒙大拿州和科羅拉多州6個石油和天然氣生產(chǎn)州在K-12之前的教育影響,以了解最近資源繁榮對學生入學、教師、公共教育財政的好處和挑戰(zhàn),以及學生成績指標。從短期和長期來看,了解這種繁榮對公共教育的影響意義重大,這主要是因為它們對教育成就、基于職業(yè)的決策以及隨后對社區(qū)經(jīng)濟健康的潛在影響。一個混合方法設計,耦合差異統(tǒng)計分析和廣泛的訪談,揭示了一系列關鍵的見解跨州和州內(nèi)。大體上,我們發(fā)現(xiàn)在美國東部和西部的學區(qū)之間,學生入學率、學生-教師比率以及每個學生的收入和支出的趨勢是不同的。與許多現(xiàn)有文獻相比,所有地區(qū)的訪談都報道了對輟學率增加的關注。金融不確定性帶來的壓力在所有繁榮地區(qū)也很嚴重和普遍。綜合起來,這一分析強調(diào)了混合方法方法的重要性,并警告不要在不同的繁榮地區(qū)過度概括影響。
Unconventional oil and gas development has revolutionized the global energy marketplace, particularly in the United States. Rapid industry expansion has also had significant and widespread impacts at the community level. This study provides an in-depth look at pre-K–12 educational impacts across six oil- and gas-producing states—Pennsylvania, Ohio, West Virginia, North Dakota, Montana, and Colorado—to understand the benefits and challenges of the recent resource booms on student enrollment, teachers, public education finances, and student achievement metrics. Understanding the effects of such booms on public education is significant in the short and long term, notably because of their potential influence on educational achievement, career-based decisionmaking, and subsequently, the economic health of a community. A mixed-methods design, coupling difference-in-difference statistical analysis with extensive interviews, reveals a series of key insights across and within states. Broadly, we find divergent trends in student enrollment, student-teacher ratios, and per pupil revenue and expenses between school districts in the eastern versus western United States. In contrast to much of the existing literature, interviews across all regions reported minimal concern with increased dropout rates. Stress from financial uncertainty was also acute and common across all boom districts. Taken together, this analysis underscores the importance of the mixed-methods approach and cautions against overgeneralization of effects across disparate boom regions.
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