Dataset on the Hanoian suburbanites’ perception and mitigation strategies towards air pollution

Abstract

Although air pollution has become a significant global environmental problem posing many negative impacts on human health and society, there has been a little known about how people think and respond to it, especially in developing and emerging countries. This article presents a dataset on how the suburbanites perceived and reacted with air pollution in Vietnam, an emerging country in Southeast Asia. A stratified random sampling technique and a face-to-face interview method were employed to survey 302 inhabitants living within Hanoi suburban, during November and December 2019. The constructed data contains three groups of information: (1) perspectives on air quality, causes, and impacts of polluted air, (2) respondent's preventative measures to air pollution, and suggested solutions to improve air quality, and (3) demographic information of interviewees. The dataset could be useful for many scholars who want to conduct a further in-depth study and or environmentalists, policymakers who want to keep society informed about the air pollution-related progression, which could help design a desirable policy for mitigating and or controlling air pollution in Vietnam and beyond.

Exploring Inner-City Residents’ and Foreigners’ Commitment to Improving Air Pollution: Evidence from a Field Survey in Hanoi, Vietnam

“…The results presented in this paper are relevant to another data article about Hanoi air pollution [16]. Although both datasets examine Hanoi's air pollution issue, our dataset differs [16] in three main points.…”

“…The results presented in this paper are relevant to another data article about Hanoi air pollution [16]. Although both datasets examine Hanoi's air pollution issue, our dataset differs [16] in three main points. First, the sample frame focuses on the inner-city area while the previous one specialized in suburban districts.…”

“…Second, in this outcome, we primarily concentrate on studying commitments and willingness to pay to reduce air pollution by employing a contingent valuation method. This WTP element is not present in [16], where the authors' main objective was to examine public perceptions and awareness regarding air pollutions. Third, we interviewed foreigners as well as inhabitants to examine how non-residents with short-term living periods and higher financial status perceived and responded to the air pollution issue.…”

Sampling

“…From that, a sample size should have a minimum of 271 items to ensure a 90% confidence level or more, with 5% error. When the sample number is 385 or higher, the confidence level will be 95% or more [5]. For higher reliability, scientists should determine a sample size of 400 or more.…”

Questionnaire design

“…In this chapter, we will delve into questionnaires -a key part as well as the first step in the procedure for primary data investigation [1]. First of all, a questionnaire is simply understood as a set of questions that are closely related and towards a certain topic [2][3][4][5][6]. In primary data investigation, a questionnaire is employed to collect and store information and data of research subjects.…”