A Comparison of Two Data Sets Used to Measure Expenditure Trends for Local Public Park and Recreation Services

娱乐 人口普查 资本支出 经济衰退 政府(语言学) 地方政府 政府开支 经济 公共经济学 地理 农业经济学 经济增长 人口经济学 业务 财务 人口学 政治学 社会学 人口 市场经济 语言学 哲学 考古 凯恩斯经济学 福利 法学
作者
Suiwen Zou,John L. Crompton
出处
期刊:Journal of park and recreation administration [Sagamore-Venture Publishing]
被引量:1
标识
DOI:10.18666/jpra-2020-10018
摘要

Six studies published between 1978 and 2017 used data from the Census Bureau's annual publication, Government Finances, to identify trends in local park and recreation expenditures. This paper evaluates the validity of the Government Finances data and conclusions of analyses drawn from it by comparing annual data on park and recreation expenditures collected annually by the Trust for Public Land (TPL) from 2008 through 2017 from the same agencies in the same years published in the U.S. Census Bureau's Government Finances.Results revealed several key discrepancies between the datasets. First, the Government Finances average total, operating, and capital expenditures for the 100 cities were substantially higher than those reported by TPL. Second, the TPL data showed a gradual and incremental decrease in total expenditures over the decade, whereas the Government Finances data showed a substantial increase in total spending, especially after 2012. Third, the declines in the TPL data in total and operational spending from 2008 to 2009, which marked the onset of the Great Recession were 11.31% and 17.69%, respectively, whereas the Government Finances data showed increases of 1.05% and 5.96%, respectively. Fourth, the Government Finances data showed increases from 2008 to 2016 of 22% in total spending and 6% in operational spending, suggesting park and recreation agencies had fully recovered from the Great Recession, but the TPL data showed declines of 20% and 16% in those expenditures, respectively. Fifth, averages masked substantial variations among cities, as there were dramatic differences in expenditures in the two data sets for many individual municipalities. Our analyses confirmed that concerns relating to the Government Finances dataset were legitimate. Applying those data to monitor trends in expenditures of "mainline" park and recreation agencies is inappropriate and is likely to mislead rather than inform. For the Government Finances data to have utility, the Census Bureau should divide them into "core" and "non-core" services. If that is not done, then we recommend that state associations use the TPL definitions and questionnaire to collect primary information about park and recreation expenditures either annually or biennially to improve monitoring accuracy and inform policy and decision-making. Subscribe to JPRA

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
消摇发布了新的文献求助200
刚刚
爆米花应助科研通管家采纳,获得40
1秒前
英俊的铭应助科研通管家采纳,获得10
1秒前
FashionBoy应助科研通管家采纳,获得10
1秒前
浮游应助科研通管家采纳,获得10
1秒前
汉堡包应助科研通管家采纳,获得10
1秒前
1秒前
领导范儿应助科研通管家采纳,获得10
1秒前
科研通AI6应助科研通管家采纳,获得10
2秒前
浮游应助科研通管家采纳,获得30
2秒前
大模型应助科研通管家采纳,获得10
2秒前
顾矜应助科研通管家采纳,获得10
2秒前
浮游应助科研通管家采纳,获得10
2秒前
2秒前
小蘑菇应助友好的谷菱采纳,获得30
2秒前
桐桐应助科研通管家采纳,获得10
2秒前
changping应助科研通管家采纳,获得30
2秒前
我是老大应助科研通管家采纳,获得10
2秒前
浮游应助科研通管家采纳,获得10
3秒前
JamesPei应助科研通管家采纳,获得10
3秒前
科研通AI6应助科研通管家采纳,获得10
3秒前
浮游应助科研通管家采纳,获得10
3秒前
3秒前
科研通AI5应助科研通管家采纳,获得10
3秒前
加菲丰丰应助科研通管家采纳,获得20
3秒前
领导范儿应助aaaa采纳,获得10
3秒前
JamesPei应助科研通管家采纳,获得40
3秒前
3秒前
changping应助科研通管家采纳,获得10
3秒前
烟花应助科研通管家采纳,获得30
3秒前
3秒前
3秒前
菲呀关注了科研通微信公众号
3秒前
隐形曼青应助彤彤采纳,获得10
4秒前
李健的小迷弟应助bearhong采纳,获得10
4秒前
fantasy发布了新的文献求助10
6秒前
yzx完成签到,获得积分10
6秒前
6秒前
Breeze完成签到 ,获得积分10
6秒前
和谐板栗完成签到 ,获得积分10
6秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Acute Mountain Sickness 2000
The Social Work Ethics Casebook(2nd,Frederic G. R) 600
A novel angiographic index for predicting the efficacy of drug-coated balloons in small vessels 500
Textbook of Neonatal Resuscitation ® 500
Thomas Hobbes' Mechanical Conception of Nature 500
The Affinity Designer Manual - Version 2: A Step-by-Step Beginner's Guide 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5089190
求助须知:如何正确求助?哪些是违规求助? 4303941
关于积分的说明 13413121
捐赠科研通 4129609
什么是DOI,文献DOI怎么找? 2261628
邀请新用户注册赠送积分活动 1265690
关于科研通互助平台的介绍 1200313