Table 1.

Variables used in the model explaining the future outlook of the private business involved in urban forestry (UF) activities.

VariableDescriptionNo. of observationsMean
outlookCategorical variable (how respondents described the future outlook of their business in UF): 1 – extremely bad, 2 – somewhat bad, 3 – neutral, 4 – somewhat good, 5 – extremely good3773.67
landscapingBinary variable: 1 – business engaged in landscaping services (NAICS 561730), 0 – otherwise4500.50
nursery supplyBinary variable: 1 – business engaged in nursery supplies wholesalers (NAICS 424930), 0 – otherwise4500.02
nursery treeBinary variable: 1 – business engaged in nursery and tree production (NAICS 111421), 0 – otherwise4500.10
nursery storesBinary variable: 1 – business engaged in nursery retail stores (NAICS 444220), 0 – otherwise4490.08
architectureBinary variable: 1 – business engaged in landscape architectural services (NAICS 541320), 0 – otherwise4500.16
jobsNumerical variable: the sum of full-time, part-time, and seasonal employees38832.33
longevityNumerical variable: years in active business39635.25
UF jobsPercentage of total jobs in UF activities38130.61
R&DCategorical variable (how respondents rated the impact of the issue about inadequate research and development on their business): 1 – none, 5 – a great deal3801.78
corporateBinary variable (representing the corporate organizational structure of the business): 1 – corporation, 0 – otherwise3810.39
supply chainCategorical variable (how respondents rated the impact of the issue about supply chain on their business): 1 – none, 5 – a great deal3801.80
recruitmentCategorical variable (how respondents rated the impact of the issue about workforce recruitment on their business): 1 – none, 5 – a great deal3813.28
retentionCategorical variable (how respondents rated the impact of the issue about retaining employees on their business): 1 – none, 5 – a great deal3802.54