Sentence examples for this contribution argues from inspiring English sources

"this contribution argues" is a correct and usable phrase in written English, typically used to introduce the main point or argument of a written piece.
It can be used in various types of writing, such as academic essays, articles, or opinion pieces. Example: This contribution argues that implementing sustainable practices in businesses not only benefits the environment but also has positive economic and social impacts.

Exact(2)

This contribution argues that such expansion is unhelpful.

Therefore, this contribution argues that flood risk management, according to the European Floods Directive, can profit from experiences and approaches in spatial planning.

Similar(58)

The Bloomberg administration also decided to cancel the city's $48 million annual contribution, arguing that the city could not afford to pay for the program on its own.

The watchdog group Campaign Legal Center filed a complaint with the Federal Election Commission about the contributions, arguing that they violated a long-standing ban on donations by federal contractors.

Further, it discusses its value as a contribution, arguing that clinical labor also presents an intriguing framework for further research, thereby suggesting some possible directions (3).

In this contribution, we argue that geomorphology and social-ecological resilience research should be integrated to improve governance toward sustainability.

In this contribution, I argue that pragmatic evidence basically is connected with pragmatic intuitions related to a context.

In this contribution, we argue that the recognition of this principle is the key also for the applicability of stated preference methods to the valuation of ecosystem functions.

In this contribution I argue that sensible way to show added value of restoration measure is to compare individual parameters in reclaimed sites with unassisted ecosystem development.

In this contribution we argue that the optimal solution is often not unique and that there are alternatives to sinusoidal inputs which are more robust.

In this contribution, we argue that the abstract nature of our thought is overstated and that our representations are inherently bound to the examples we experience during learning.

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