Technological progress in the exploration and production of oil and gas during the 2000s has led to a boom in upstream investment and has increased the domestic supply of fossil fuels. It is unknown, however, how many jobs this boom has created. We use time-series methods at the national level and dynamic panel methods at the state-level to understand how the increase in exploration and production activity has impacted employment. We find robust statistical support for the hypothesis that changes in drilling for oil and gas as captured by rig-counts do in fact, have an economically meaningful and positive impact on employment. The strongest impact is contemporaneous, though months later in the year also experience statistically and economically meaningful growth. Once dynamic effects are accounted for, we estimate that an additional rig-count results in the creation of 37 jobs immediately and 224 jobs in the long run, though our robustness checks suggest that these multipliers could be bigger.

Technological progress in the exploration and production of oil and gas during the 2000s has led to a boom in upstream investment and has increased the domestic supply of fossil fuels. It is unknown, however, how many jobs this boom has created. We use time-series methods at the national level and dynamic panel methods at the state-level to understand how the increase in exploration and production activity has impacted employment. We find robust statistical support for the hypothesis that changes in drilling for oil and gas as captured by rig-counts do in fact, have an economically meaningful and positive impact on employment. The strongest impact is contemporaneous, though months later in the year also experience statistically and economically meaningful growth. Once dynamic effects are accounted for, we estimate that an additional rig-count results in the creation of 37 jobs immediately and 224 jobs in the long run, though our robustness checks suggest that these multipliers could be bigger.

Technological progress in the exploration and production of oil and gas during the 2000s hasled to a boom in upstream investment and has increased the domestic supply of fossil fuels. Itis unknown, however, how many jobs this boom has created. We use time-series methods atthe national level and dynamic panel methods at the state-level to understand how the increasein exploration and production activity has impacted employment. We find robust statisticalsupport for the hypothesis that changes in drilling for oil and gas as captured by rig-counts doin fact, have an economically meaningful and po

A data-driven assessment analyzes the practices of thousands of high- and low-performing companies over a forty-five-year period to reveal unique thinking habits and counterintuitive strategies.

The sixth edition of the series highlights employment trends in renewables worldwide, noting increasing diversification of the supply chain.

Approximately two billion dollars a day of petroleum are traded worldwide, which makes petroleum the largest single item in the balance of payments and exchanges between nations. Petroleum represents the larger share in total energy use for most net exporters and net importers. While petroleum taxes are a major source of income for more than 90 countries in the world, poor countries net importers are more vulnerable to price increases than most industrialized economies. This paper has five chapters. Chapter one describes the key features of upstream, midstream, and downstream petroleum operations and how these may impact value creation and policy options. Chapter two draws on ample literature and discusses how changes in the geopolitical and global economic environment and in the host governments' political and economic priorities have affected the rationale for and behavior of National Oil Companies' (NOCs). Rather than providing an in-depth analysis of the philosophical reasons for creating aNOC, this chapter seeks to highlight the special nature of NOCs and how it may affect their existence, objectives, regulation, and behavior. Chapter three proposes a value creation index to measure the contribution of NOCs to social value creation. A conceptual model is also proposed to identify the factors that affect value creation. Chapter four presents the result of an exploratory statistical analysis aimed to determine the relative importance of the drivers of value creation. In addition, the experience of a selected sample of NOCs is analyzed in detail, and lessons of general applicability are derived. Finally, Chapter five summarizes the conclusions.

This paper provides evidence of the causal impact of oil discoveries on development. Novel data on the drilling of 20,000 oil wells in Brazil allows us to exploit a quasi-experiment: Municipalities where oil was discovered constitute the treatment group, while municipalities with drilling but no discovery are the control group. The results show that oil discoveries significantly increase per capita GDP and urbanization. We find positive spillovers to non-oil sectors, specifically, an increase in services GDP which stems from higher output per worker. The results are consistent with greater local demand for non-tradable services driven by highly paid oil workers.