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Economic Impact of the Natural Energy Laboratory Hawaii Authority Tenants on the State of Hawaii
The Natural Energy Laboratory Hawaii Authority (NELHA) contracted UHERO to estimate its economic impact on the State of Hawaii. NELHA currently accommodates 37 tenants ranging from companies bottling deep sea water to solar and biofuel companies. These tenants pay close to $2 million in rent, royalties and pass through expense directly to NELHA. In addition, they employ hundreds of people, purchase goods and services from local businesses, and invest in capital improvements at NELHA.
This research determines NELHA’s contribution to local business sales, employee earnings, tax revenues, and number of jobs in Hawaii from the expenditures of its tenants in 2013. NELHA provides additional benefits to the state of Hawaii that this study does not capture but are important to consider when evaluating NELHA’s overall footprint on the economy.
The Economic Impact of Astronomy in Hawai‘i
The astronomy sector in Hawaii generates economic activity through its purchases from local businesses, its payment to its employees, and spending by students and visitors. In collaboration with the Institute for Astronomy, a survey was designed to obtain information from astronomy related entities about in-state expenditures. The collected survey data was used to estimate the astronomy sector’s total economic activity in each of Hawaii’s counties for the calendar year 2012. Following a standard Input-Output approach, we define economic impact to be the direct, indirect, and induced economic activities generated by the astronomy sector’s expenditures in the state economy, taking into account inter-county feedback and spillover effects.
Local astronomy related expenditures in calendar year 2012 were $58.43 million, $25.80 million, $1.28 million, and $2.58 million in Hawaii, Honolulu, Kauai, and Maui counties respectively. Total astronomy related spending in the state was $88.09 million. Including indirect and induced benefits and adjusting for inter-county feedback and spillover effects, the astronomy sector had a total impact of $167.86 million statewide. The largest impact was found to be in Hawaii County ($91.48 million), followed by Honolulu County ($68.43 million). Impacts were found to be relatively small in Maui County ($5.34 million) and Kauai County ($2.61 million). In addition to contributing to output, astronomy activities generated $52.26 million in earnings, $8.15 million in state taxes, and 1,394 jobs statewide.
The Miracle of Microfinance Revisited: Evidence from Propensity Score Matching
We provide new evidence on the effectiveness of microfinance intervention for poverty alleviation. We apply the Propensity Score Matching (PSM) method to data collected in a recent randomized control trial (RCT) in India by Banerjee et al. (2014). The PSM method allows us to answer an additional set of questions not answered by the original study. First, we explore the characteristics of MFI borrowers relative to two comparison groups: those without any loans and those with other types of loans, predominantly from family and friends and money lenders. Second, we compare the impact on expenditures of MFI borrowers relative to these two comparison groups. We find that microfinance borrowers have higher expenditures in a number of categories, notably durables, house repairs, health, festivals and temptation goods. The differences are stronger relative to those without any loans. Our results suggest that microfinance can make a larger difference for households previously excluded from other credit sources. However, some of the increased expenditures are unlikely to lead to long-term benefits and there is no significant difference in total expenditures. We also present suggestive evidence of negative spillovers, i.e. non-participants reducing some categories of expenditures, while MFI participants “pick up the tab.”
The Effect of Plan B on Teen Abortions: Evidence From the 2006 FDA Ruling
An increase in the availability of emergency contraception (EC) may lead to a decrease in the abortion rate. The 2006 FDA ruling, which relaxed the prescription requirement for EC for women 18 and older, allows us to apply the difference-in-difference methodology on the age-by-year-by-state abortion data to test this hypothesis. Contrary to the literature, we find a moderate reduction in abortion rates among women aged 18 and 19 after 2006 in states that were affected by the change, compared to changes in the control group. These results are robust in a number of specifications and pass the event specification test.
Behind-the-counter, but Over-the-border? The Assessment of the Geographical Spillover Effect of Increased Access to Emergency Contraception
Washington was the first state to ease the prescription requirements making emergency contraception (EC) available behind-the-counter at pharmacies to women of any age in 1998. I hypothesize that the increased availability of EC affects fertility rates beyond the borders of the state that allows it. In contrast to the literature, I show that increased access to EC is associated with a statistically significant albeit economically small decrease in abortion rates in Washington counties where women had access to no-prescription EC pharmacies. Yet, there is no effect on pregnancy rates. These results are robust in a number of specifications. Finally, I find some evidence in support of the spillover effects in Idaho, but not Oregon. However, after accounting for changes in the availability of abortion services, the decrease in fertility rates in “treated” Idaho counties is rather small and models lack sufficient power to detect it.
The Economic Impact of the University of Hawai'i System
The University of Hawai‘i (UH) generates economic activity through its purchases from local businesses, its payment to its employees, and spending by students and visitors. This report estimates UH’s total economic activity in the state of Hawai‘i in fiscal year 2012. Following a standard approach, we define economic impact to be the direct, indirect, and induced economic activities generated by the university’s spending in the state economy.
The Contribution of the University of Hawai‘i at Manoa to Hawai‘i’s Economy in 2012
Although one can think of the UHM as if it were one of many businesses or industries in Hawai‘i, an important difference between UHM and most private businesses is that UHM gets a substantial part of its funding from taxpayers. In FY2012, UHM and the supporting RCUH (Research Corporation of the University of Hawai‘i) spent a total of $878 million in support of its education mission; the State General Fund paid $198 million of the total. Adding money spent by the privately funded UH Foundation, spending by students, out-of-town visitor spending related to UHM sponsored professional meetings and conferences brings total UHM-related expenditures to $1.40 billion in FY2012, 90% of which was spent locally.
Overall, the $1.40 billion of education-related expenditures attributable to UHM generated $2.45 billion in local business sales, $735 million in employee earnings, $131 million in state tax revenues, and slightly under 20,000 jobs in Hawai‘i in FY2012. This represented approximately 3.4% of total jobs, 2.5% of worker earnings, and 2.2% of total state tax revenues.
Looking to the future, the university’s Hawai‘i Innovation Initiative ( HI2 ) plans to more than double the UH system’s current level of extramural research funds from less than $500 million to an ambitious $1 billion per annum. If the HI2 successfully doubles research expenditures, our analysis suggests more than 5,000 new jobs would be created from the ripple effects of the research spending alone, independent of any technology transfer and other jobs created as a direct result of the research.
Economic Impact of the NELHA Tenants
The Natural Energy Laboratory Hawaii Authority (NELHA) contracted the University of Hawaii Economic Research Organization (UHERO) to estimate its economic impact on the State of Hawaii. NELHA currently accommodates 41 tenants ranging from companies bottling deep sea water to solar and biofuel companies. These tenants pay close to $4 million in rent, royalties and pass through expense directly to NELHA. In addition, they employ hundreds of people, purchase goods and services from local businesses, and invest in capital improvements at NELHA.
The Effect of Minimum Drinking Age Laws on Pregnancy, Fertility, and Alcohol Consumption
Analysis of micro-level data reveals that changes in the minimum legal drinking age (MLDA)could induce changes in the intensity and location of alcohol consumption, sexual behavior, and teen fertility. Effects on teen fertility vary across different populations. Among 15-20 year-old non-poor whites, less restrictive legal access to alcohol decreases the probability of first pregnancy and abortion. For this group, easier legal access to alcohol likely increases the alcohol consumption in bars. For black and poor white young women, the results are sensitive to the alcohol consumption restrictions measure. A decrease in the MLDA increases the probability of first pregnancy and abortion. Yet, using a more precise measure that accounts for the MLDA and the woman’s age, these results generally no longer hold.
Alcohol Use and Pregnancies Among Youth: Evidence From a Semi-Parametric Approach
Despite a well-established correlation between alcohol intake and various risk-taking sexual behaviors, the causality remains unknown. I model the effect of alcohol use on the likelihood of pregnancy among youth using a variety of estimation techniques. The preference is given to the semi-parametric model where the cumulative distribution of heterogeneity is approximated by a 4-point discrete distribution. Using data on 17-28 year-old women from the National Longitudinal Survey of Youth, I find that alcohol consumption increases the likelihood of pregnancy by 4.7 percentage points. Quantitatively similar but statistically weaker effects were found in the fully parametric models such as the two-stage least squares model and the bivariate probit model. Finally, the fully parametric models that ignore the effect of unobserved heterogeneity failed to establish this relationship.