working paper

The Economic Benefits of the New Climate Economy in Rural America

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Approach to Estimating Rural Economic Impacts

This assessment quantifies the potential economic benefits of federal investments in seven areas of the new climate economy in rural counties. We evaluated and identified opportunities with significant climate benefits and job creation potential, and then determined investment levels required to scale up or expand each opportunity in rural counties. For opportunities in the energy sector, we modeled the economic impacts from an illustrative portfolio of renewable energy, energy efficiency, and transmission, distribution, and storage (TDS) policies and programs. We determined investment needs based on a review of historical funding for existing policies and additional funding needs derived from expert consultation and proposed legislation. We also estimated the leverage effect of federal investment in renewable energy, energy efficiency, and TDS scenarios, and the model includes assumed additional state, local government, and private sector spending. It is important to note though that our leverage assumptions are very conservative and the economic impacts for the three energy sectors result primarily from federal investment. For full detail on the investment level and leverage assumed for each program and policy contained in renewable energy, energy efficiency, and TDS analyses, refer to Appendix J.

The investment needs associated with environmental remediation for abandoned fossil fuel infrastructure are based on total cost of remediation and restoration activities as opposed to specific policies. For full detail on the investment level assumed for orphaned oil and gas wells and abandoned coal mines, refer to Appendix J.

For opportunities in the land sector, we estimated investment needs based on the total cost of achieving desired results across ecologically suitable areas without displacing food or fiber production, rather than basing inputs on specific policies. This analysis derived modeling inputs from county-level data on acreage of opportunity for each land sector pathway; and average cost of implementation per acre. Restocking opportunities were considered only in eastern states with low risk of wildfire and without the concerns of excessive fuel loads that are present in western forests. For more information on methodologies for deriving opportunity acreage and cost, see Appendix K.

Table 1 summarizes the federal investment amounts in the seven areas of the new climate economy, including the assumed rural shares.

Table 1 | Annual Federal Investment in Seven Areas of New Climate Economy and Rural Share

Investment Area

Annual Federal Investment ($, billions)

Rural Share ($, billions)

Renewable energy

$18.8

$3.8

Energy efficiency

$8.3

$2.1

Transmission, distribution, and storage

$19.6

$3.4

Environmental remediation of abandoned fossil fuel infrastructure

$2.4

$1.3

Tree restoration on federal lands

$0.45

$0.35

Tree restoration on non-federal lands

$4.3

$2.8

Wildfire risk management

$1.5

$1.1

All seven areas

$55.4

$14.9

Source: WRI authors and BW Research.

Subsequently, BW Research, commissioned by World Resources Institute, used the Economic Impact Analysis for Planning (IMPLAN) input-output economic model to estimate the direct, indirect, and induced effects on jobs; economic value added; employee compensation (e.g., wages, salaries); and local, state, and federal taxes generated nationally and in rural counties. See the glossary for definitions.

We estimate economic impacts in the energy sector for the first five years of robust federal clean energy spending while those in the land sector are distributed over 20 years. This longer time horizon for investment in tree restoration and wildfire mitigation reflects the need for long-term forest management to ensure forest health and tree survival for reforestation and restocking projects, and adequate mitigation of wildfire risk.

We assumed that for each of the seven investment areas, a certain share of the modeled federal investment went to rural counties. We determined this based on a number of factors including existing clean energy county-level labor trends, historical geographic funding patterns, and the geography of a given sector (e.g., location of abandoned coal mines, documented orphan oil and gas wells, or federal forests). For programs targeting rural areas specifically, we allocated the entire federal investment to rural counties in the state. Finally, for the renewable energy, energy efficiency, and TDS sectors only, we made an additional assumption that at least 15 percent of modeled investment would flow to rural counties. We used 15 percent as a modeling construct for the minimum share going to rural areas. This assumption is intended to illustrate the potential if federal investments were allocated to rural areas at a more equitable level; however, it is likely that targeted complementary policies would be required to ensure that funding actually reaches certain regions. At the same time, a rural allocation of funds could be even higher than this minimum share, driven by policy goals to advance racial and economic equity within rural areas and between rural and urban areas. A more detailed description of these methodologies can be found in Appendix J.

To assess the impact of new climate economy investments on economically disadvantaged rural communities, we used the Economic Innovation Group’s Distressed Communities Index (DCI), which uses aggregated employment and wealth metrics to identify economically disadvantaged rural counties (Figure 3). DCI sorts U.S. counties into five quintiles using seven metrics: poverty rate, percent of adults that have not graduated high school, percent of unoccupied housing units controlled for vacation homes, median household income, change in number of employees working in the county from 2014 to 2018, change in number of establishments located in the county from 2014 to 2018, and percent of adults ages 25–54 that are not in the workforce. In this paper, we focus on rural counties in the fourth (at-risk counties) and fifth (distressed counties) quintiles of the DCI to highlight the economic impacts of federal investment on those rural counties. The DCI, and by extension this paper, does not include components for race and public health associated with pollution. Further research should investigate the potential impact of investment on communities and workers of color as well as environmental justice communities.1

Our analysis primarily examines benefits from federal investments in rural areas and our leverage assumptions for private sector investment are conservative. In reality, though, any of the investment areas we analyzed, including renewable energy and TDS, also experience high levels of private investment. For those, our results may represent only a portion of the job creation and economic benefits that can be realized in the coming years. Despite this, federal investments have a major role to play in catalyzing economic growth and creating rural jobs for all sectors in the new climate economy.

Figure 3 | At-Risk and Distressed Rural Counties as Defined by the Distressed Communities Index

Note: The Distressed Communities Index sorts U.S. counties into five quintiles using seven metrics: poverty rate, percent of adults that have not graduated high school, percent of unoccupied housing units controlled for vacation homes, median household income, change in number of employees working in the county from 2014 to 2018, change in number of establishments located in the county from 2014 to 2018, and percent of adults ages 25–54 that are not in the workforce. In this paper, we focus on rural counties in the fourth (at-risk counties) and fifth (distressed counties) quintiles of the DCI to highlight the economic impacts of federal investment on those rural counties.

DCI = Distressed Communities Index.

Source: Economic Innovation Group, Distressed Communities Index, 2020.

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