Zig-zag technology adoption behavior among brick kiln owners in Pakistan

Hussain, Bilal; Naqvi, Syed Asif Ali; Anwar, Sofia; Shah, Syed Ale Raza; Hassan, Rai Hasis ul; Shah, Ashfaq Ahmad

doi:10.1007/s11356-021-13837-2

Cited by 14 publications

(6 citation statements)

References 80 publications

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“…It is the largest hub of the informal sector i.e. brick industry of Pakistan consisting of about 10,000 units (Hussain et al, 2021). Due to ever-increasing smog and air pollution generated from the clusters of old brick kilns, its districts are amongst the most polluted cities in the world.…”

Section: Methodology Site Descriptionmentioning

confidence: 99%

“…In the winter season, the air pollutants dispersion level decreases due to temperature inversion and the stubble burning produces smog. Out of 20,000 brick kilns (Hussain et al, 2021), 10,347 (PBC, 2016 are located in Punjabin or around the province as reported in the Punjab Clean Air Action Plan. Moreover, 87, 134 laborers are linked with informal brick industries (Ercelawn and Nauman 2004).…”

Section: Satellite Datamentioning

confidence: 99%

See 1 more Smart Citation

Development of Air Quality and Brick Kilns During the Onset of Covid-19: An Analysis

Pervaiz

KHAN

Javid

et al. 2022

Biol Clin Sci Res J

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Coronavirus and air pollution,having a positive correlation, are inauspiciouslythe greatest challenge of the millennium. Therefore, the study presented the initial outcomes from the analysis of the COVID-19 impact on (1) air qualityand, (2)informal sector i.e. old technology brick kiln industry. In order to evaluate the progress, the spatial analysis was carried out,comprising aerosol optical depth, sulfur dioxide, carbon monoxide, carbon dioxide and ozone with the inclusion of metrological element i.e. rainfall and environmental index (NDVI). The results of the spatial data indicated that the air quality of Punjab improved with the lockdown policy. However, improvements vary across the districts and were absent in a few districts where no strict lockdown policy was observed. During lock-down,fluctuation in rainfall and decrease in NDVI,which had no positive impact in reducing the pollutants concentration in the atmosphere, was observed. The spatial correlation results presented that the pandemic lock-down helped in the reduction of the extent of air pollution. In addition, in the COVID-19 anthropause, Government of the Punjab initiated a stringent action to ban outdated brick kilns causing air pollution. Resultant, conversion of old technology brick kilns into Zig-Zag Technology is a remarkable step to mitigate smog.

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Section: Methodology Site Descriptionmentioning

confidence: 99%

Section: Satellite Datamentioning

confidence: 99%

Development of Air Quality and Brick Kilns During the Onset of Covid-19: An Analysis

Pervaiz

KHAN

Javid

et al. 2022

Biol Clin Sci Res J

View full text Add to dashboard Cite

show abstract

“…Control beliefs refer to the degree of difficulty and mastery cotton farmers perceive in adopting SA technology. It covers both self and external dimensions: firstly, the cotton farmers’ perception of their own capabilities, and the formation of willingness also varies according to self-tolerance 50 . Secondly, external influences on one’s own behaviour; external forces refer to the extent to which the relevant resources at the cotton farmer’s disposal facilitate adoption.…”

Section: Research Theory and Hypothesismentioning

confidence: 99%

Study on the influence mechanism of adoption of smart agriculture technology behavior

Liu

Chen

et al. 2023

Sci Rep

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Smart agricultural (SA) technology has become a technological support for modern agriculture. By exploring the decision-making process and psychological motivation of farmers in adopting SA technology, it is conducive to achieving the popularisation of SA technology and promoting the modernisation of agriculture. Based on microscopic research data, a Structural Equation Model (SEM) is used to analyse the influencing factors and extent of cotton farmers’ adoption of SA technologies, using Deconstructive Theory of Planned Behavior (DTPB) as the analytical framework. This was combined with in-depth interviews to further reveal the motivations and influencing mechanisms of cotton farmers’ adoption of SA technologies. The results show that under the behavioural belief dimension, cotton farmers value the positive effect of perceived usefulness even though the risk of the technology itself has a dampening effect on adoption intentions. Under the normative belief dimension, superior influence influenced the willingness to adopt SA technologies to a greater extent than peer influence. Under the control belief dimension, factors such as self-efficacy and information channels influence willingness to adopt technology and behaviour. In addition, behavioural attitudes, subjective norms, and perceived behavioural control all contribute to cotton farmers’ willingness to adopt SA technologies, and can also influence behaviour directly or indirectly through willingness to adopt. Policy and technology satisfaction positively moderate the transition from willingness to behaviour. Therefore, preferential policies are proposed to reduce the cost of adopting SA technologies; to continuously improve the level of SA technologies; to establish SA technology test plots to provide a reference base; and to increase knowledge training on SA and expand access to information.

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“…Control beliefs refer to the degree of di culty and mastery cotton farmers perceive in adopting SA technology. It covers both self and external dimensions: rstly, the cotton farmers' perception of their own capabilities, and the formation of willingness also varies according to self-tolerance 53 . Secondly, external in uences on one's own behaviour; external forces refer to the extent to which the relevant resources at the cotton farmer's disposal facilitate adoption.…”

Section: Research Theory and Hypothesismentioning

confidence: 99%

Study on the Influence Mechanism of Adoption of Smart Agriculture Technology Behavior

Liu

Chen

2023

Preprint

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Smart agricultural (SA) technology has become an inevitable trend in the modernisation of China's agriculture and a realistic demand for the transformation and upgrading of traditional agriculture. Based on microscopic research data, a structural equation model (SEM) is constructed using deconstructive planning behaviour theory (DPBT) as the analytical framework to empirically analyse the factors and degrees of influence on cotton farmers' adoption of SA technologies. In-depth interviews were then combined to further reveal the mechanisms influencing cotton farmers' adoption of SA technology. The results show that: (1) the risk of the technology itself has a dampening effect on willingness, but cotton farmers value the positive role played by perceived usefulness more. (2) superior influences such as trial field demonstrations and government publicity have a greater impact on willingness to adopt SA technologies than the group effect of peer influence. (3) factors such as self-efficacy and information channels have an impact on willingness and behaviour to adopt. (4) Willingness influences technology adoption behaviour through mediating effects. (5) Policy and technology satisfaction have a positive moderating role in the occurrence of willingness and adoption behaviour.

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Zig-zag technology adoption behavior among brick kiln owners in Pakistan

Cited by 14 publications

References 80 publications

Development of Air Quality and Brick Kilns During the Onset of Covid-19: An Analysis

Development of Air Quality and Brick Kilns During the Onset of Covid-19: An Analysis

Study on the influence mechanism of adoption of smart agriculture technology behavior

Study on the Influence Mechanism of Adoption of Smart Agriculture Technology Behavior

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