“…It can be because of a lack of funds, seriousness toward water management, or government priorities. It has almost the same results where researchers found that government priorities are more inclined towards providing electricity and other facilities compared to taking care of health 18 . But it contradicts earlier researchers’ findings that government incentives play a significant role in electronic vehicles and innovations 36 , 37 , 39 or intentions to use clean water 29 .…”
Section: Discussionmentioning
confidence: 70%
“…Recent studies are mainly focusing on the technologies of water treatment plants 11 – 16 , the impact of clean drinking water on children under the age of five 17 , and government priorities of rural electrification over clean drinking water 18 , diseases and dangers to people's health caused by polluted water 5 , potential hazards to the environment and human health involved with the reuse of wastewater for irrigation 10 , Health risks associated with wastewater 9 . In addition, a large number of studies have led researchers to conclude that company size is an important mediator in various settings at the firm level 19 , 20 .…”
Contaminated industrial wastewater is one of the severe causes of health diseases. The wastewater treatment trend in developing countries is less, and governments are not strictly pursuing the wastewater management protocols adopted by firms. To study the intention to install wastewater treatment plants at the firm level and provide policy suggestions to the developing countries’ governments, we have collected a cross-sectional dataset from manufacturing firms. We have presented an integrated model based on the theory of planned behaviour and tested our proposed model by implying SEM-ANN deep learning techniques. Results revealed that Environmental knowledge, installation cost, firm reputation, and corporate social responsibility positively influence firm management’s intention to install wastewater treatment plants, but awareness of the risk associated with contaminated wastewater has a negative influence. On the other hand, Government incentives do not influence the process. In addition, our study has found that firm size moderates the relationship between explained and exploratory variables. Our study provided valuable insight into the available literature and provided some policy suggestions to developing countries' governments to cope with water scarcity and health issues caused by contaminated industrial wastewater.
“…It can be because of a lack of funds, seriousness toward water management, or government priorities. It has almost the same results where researchers found that government priorities are more inclined towards providing electricity and other facilities compared to taking care of health 18 . But it contradicts earlier researchers’ findings that government incentives play a significant role in electronic vehicles and innovations 36 , 37 , 39 or intentions to use clean water 29 .…”
Section: Discussionmentioning
confidence: 70%
“…Recent studies are mainly focusing on the technologies of water treatment plants 11 – 16 , the impact of clean drinking water on children under the age of five 17 , and government priorities of rural electrification over clean drinking water 18 , diseases and dangers to people's health caused by polluted water 5 , potential hazards to the environment and human health involved with the reuse of wastewater for irrigation 10 , Health risks associated with wastewater 9 . In addition, a large number of studies have led researchers to conclude that company size is an important mediator in various settings at the firm level 19 , 20 .…”
Contaminated industrial wastewater is one of the severe causes of health diseases. The wastewater treatment trend in developing countries is less, and governments are not strictly pursuing the wastewater management protocols adopted by firms. To study the intention to install wastewater treatment plants at the firm level and provide policy suggestions to the developing countries’ governments, we have collected a cross-sectional dataset from manufacturing firms. We have presented an integrated model based on the theory of planned behaviour and tested our proposed model by implying SEM-ANN deep learning techniques. Results revealed that Environmental knowledge, installation cost, firm reputation, and corporate social responsibility positively influence firm management’s intention to install wastewater treatment plants, but awareness of the risk associated with contaminated wastewater has a negative influence. On the other hand, Government incentives do not influence the process. In addition, our study has found that firm size moderates the relationship between explained and exploratory variables. Our study provided valuable insight into the available literature and provided some policy suggestions to developing countries' governments to cope with water scarcity and health issues caused by contaminated industrial wastewater.
“…For instance, in Tanzania most of the public access points like internet cafes are privately owned and need to make a profit; hence, most rural households cannot afford to use the cafes (Furuholt and Kristiansen, 2007). However, some African countries like Rwanda have invested in improving access to internet not only in urban areas, but in rural areas as well (Ahmed, 2020). Due to the limited access to ICTS, most people in rural areas do not prioritize information, communication and technology because they have little or no income, hence they budget any meagre income they get for the most important needs like food, shelter, school fees for their children, health care and clothes.…”
Section: The Digital Divide Between Urban and Rural Areasmentioning
Information, Communication, Technology and Services (ICTS) is increasingly being used in various fields that include agriculture, education, medicine, tourism and business. However, due to challenges caused by the digital divide and other factors, the use of ICTS and its contribution to socio-economic development is generally more intense in developed countries than in developing countries, and also more in urban areas than in rural areas. This article gives an overview of ICTS, the extent of its adoption in different fields, factors that hinder ICTS driven socio-economic development in developing countries and rural areas, and various possible ways of maximizing potential benefits that marginalised communities can derive from the limited ICTS that is accessible to them.
Keywords: ICTS, development, marginalised, rural, networks
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