The phrase "and focus on effects" is correct and usable in written English.
You can use it when discussing the importance of concentrating on the outcomes or consequences of a particular action or situation.
Example: "In our analysis, we should prioritize the data trends and focus on effects that impact our overall strategy."
Alternatives: "and concentrate on outcomes" or "and emphasize results".
In this study, we consider the European electro-mobility market from an industrial perspective, and focus on effects of market conditions and manufacturer strategies, with the objective to gain insight on what could inhibit the successful market penetration of electric powertrain vehicles.
In this study, we consider the industrial perspective, and focus on effects of market conditions and manufacturer strategies, with the objective to gain insight on what could inhibit the successful market penetration of Plug-in Hybrid EV (PHEV), Battery EV (BEV) and Fuel Cell EV (FCV) (see Table 1 for definitions).
Each RA patient was carefully matched with a control subject based on age, gender, activity level and body mass index (BMI) to rule out direct effects of these parameters and focus on effects specifically related to the RA disease.
Since the correlation between creativity and intelligence is controversial (negligible vs. modestly related in part) [36] [38], the current study measured KTCPI score and focused on effects of the sub-components which showed positive correlation with IQ.
The current study aimed to reduce the working memory load and focus on the effect of translation.
Economists generally discount the significance of bilateral trade balances (that is, balances between two countries) and focus on the overall effect of trade on a country.
In other words, our model ignores information effect and focuses on experience effect and externality effect.
For example, let's clarify and focus on chemicals and their effect on cancer risk.
He believed that work of quality should be brief and focus on a specific single effect.
In order to go beyond the trivial, and focus on reliable, meaningful, and generalizable effects, Big Data needs to build on the existing scientific foundations of its field.
Therefore, for comparisons, we focus on effect sizes and not strictly on significance levels [ 83, 84].
