The impacts and visions of the green fertilizer technologies (GFT)

Purpose With the increased stress on sustainability and food security, in addition, the need towards halting environmental deprivation has focused attention on green fertilizer technology (GFT), which is the means of improving the situation causing the rising environmental concern. It also gives efficient use of farm resources which can help to protect crops. Moreover, the adoption of GFT is one aspect to answer the problem in regards to the sustainable environment. In the year 1980, an initiative took place to simplify the adoption decision in the developing countries. Regardless of the low adoption rate elsewhere, comparable exertions in the current year have originated in developing countries. Accepting those primary factors that influence the adoption of GFT is very important. The paper aims to discuss these issues. Design/methodology/approach This study re-examines these factors and draws policy implications from that review for future actions. This research study re-examines them, based on other studies examining the inadequate adoption of GFT in developing countries, by generalising their conclusions to clarify why farmers have or have not made the decision to adopt GFT. The ability to address that awareness enables the theory of planned behaviour (TPB) model to predict the farmer’s intention of acceptability of the GFT. By following a socio-psychological approach, by using TPB, the researchers have found out the paddy farmers’ adoption decision towards GFT. The researchers later discuss the implications for promoting the adoption of GFT, which delivers suggestions for the upcoming research study. Findings The idea of this research study is to seek farmers’ understanding about environmental attitudes in connection with conservation behaviour. The overall aim of this paper is to conceptualise the framework created by amending the environmental concern amongst paddy farmers towards GFT. Originality/value This research study will allow more academic consideration and may direct future research on the empirical findings on the environmental concern through the proposed conceptual framework amongst paddy farmers in Malaysia.

[1]  T. Rehman,et al.  Factors influencing adoption of improved grassland management by small-scale dairy farmers in central Mexico and the implications for future research on smallholder adoption in developing countries , 2013 .

[2]  E. Wauters,et al.  Farm level implementation of soil conservation measures: farmers’ beliefs and intentions , 2017, Renewable Agriculture and Food Systems.

[3]  Alan W. Hodges,et al.  Conservation technology adoption decisions and the theory of planned behavior , 1995 .

[4]  C. Dienes.  Actions and intentions to pay for climate change mitigation: Environmental concern and the role of economic factors , 2015 .

[5]  Z. Leviston,et al.  Predicting pro-environmental agricultural practices: The social, psychological and contextual influences on land management , 2014 .

[6]  L. Evans.  Measure theory and fine properties of functions , 1992 .

[7]  T. Yamano,et al.  Farmers’ self-perception toward agricultural technology adoption: evidence on adoption of submergence-tolerant rice in Eastern India , 2015 .

[8]  P. Boeckx,et al.  Combining Mineral Fertilizer and Green Manure for Increased, Profitable Cassava Production , 2012 .

[9]  Masoud Yazdanpanah,et al.  Understanding farmers' intention and behavior regarding water conservation in the Middle-East and North Africa: a case study in Iran. , 2014, Journal of environmental management.

[10]  V. Karunaratne,et al.  A green slow-release fertilizer composition based on urea-modified hydroxyapatite nanoparticles encapsulated wood , 2011 .

[11]  R. Villano,et al.  Factors influencing farmers’ adoption of modern rice technologies and good management practices in the Philippines , 2012 .

[12]  Mei‐Fang Chen,et al.  Developing an extended Theory of Planned Behavior model to predict consumers’ intention to visit green hotels , 2014 .

[13]  Akinwumi A. Adesina,et al.  Farmers' perceptions and adoption of new agricultural technology: evidence from analysis in Burkina Faso and Guinea, West Africa , 1995 .

[14]  M. Bruegel.  From the Crisis of Food to Food in Crisis , 2011 .

[15]  M. J. Kabaci.  Theses and Dissertations Completed in Family and Consumer Sciences: 2013 , 2014 .

[16]  Hugh Kelley,et al.  Understanding the uptake of organic farming: accounting for heterogeneities among Irish farmers , 2013 .

[17]  S. Nordin,et al.  Adoption of green fertilizer technology among paddy farmers: A possible solution for Malaysian food security , 2017 .

[18]  Anastasios Pagiaslis,et al.  Green Consumption Behavior Antecedents: Environmental Concern, Knowledge, and Beliefs , 2014 .

[19]  J. Poesen,et al.  Adoption of soil conservation practices in Belgium: An examination of the theory of planned behaviour in the agri-environmental domain , 2010 .

[20]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[21]  I. Ajzen.  The theory of planned behavior , 1991 .

[22]  T. Earle,et al.  Urbanization, State Formation, and Cooperation: A Reappraisal , 2016, Current Anthropology.

[23]  L. Prokopy,et al.  Determinants of agricultural best management practice adoption: Evidence from the literature , 2008, Journal of Soil and Water Conservation.

[24]  Tammo H. A. Bijmolt,et al.  Generalizations on Consumer Innovation Adoption: A Meta-Analysis on Drivers of Intention and Behavior , 2011 .

[25]  Md. Mahmudul Alam,et al.  Agricultural Vulnerability and Adaptation to Climatic Changes In Malaysia: Review on Paddy Sector , 2013 .

[26]  Ruud B.M. Huirne,et al.  Entrepreneurial behaviour of dutch dairy farmers under a milk quota system: goals, objectives and attitudes , 2004 .

[27]  A. Abdulai,et al.  Linking apple farmers to markets: Determinants and impacts of marketing contracts in China , 2016 .

[28]  Henk Hogeveen,et al.  Dairy farmers' attitudes and intentions towards improving dairy cow foot health , 2013 .

[29]  Tick Hui Oh,et al.  Green progress and prospect in Malaysia , 2011 .

[30]  S. Nordin,et al.  Segmenting Paddy Farmer's Attitude and Behavior: A Study Towards the Green Fertilizer Technology Adoption Among Malaysian Paddy Farmers – Adoption of GFT , 2017 .

[31]  Florian G. Kaiser,et al.  Ecological behavior and its environmental consequences: a life cycle assessment of a self-report measure , 2003 .

[32]  W. S. Ho,et al.  Renewable energy policies and initiatives for a sustainable energy future in Malaysia , 2011 .

[33]  D. Knowler,et al.  Farmers’ adoption of conservation agriculture: A review and synthesis of recent research , 2007 .

[34]  M. L. Jat,et al.  Productivity and sustainability of the rice-wheat cropping system in the indo-gangetic plains of the Indian subcontinent: Problems, opportunities, and strategies , 2012 .

[35]  H. Hansson,et al.  Psychological Constructs Underlying Farmers’ Decisions to Diversify or Specialise their Businesses – An Application of Theory of Planned Behaviour , 2012 .

[36]  C. Pray.  The Green Revolution as a Case Study in Transfer of Technology , 1981 .

[37]  J. Kirsten,et al.  THE NEW INSTITUTIONAL ECONOMICS: APPLICATIONS FOR AGRICULTURAL POLICY RESEARCH IN DEVELOPING COUNTRIES , 2002 .

[38]  J. R. Borges.  The role of psychological factors in the adoption of improved natural grassland by Brazilian cattle farmers in Biome Pampa , 2015 .

[39]  J. Bruwer,et al.  The relative importance of factors influencing the adoption of sustainable agricultural practices: a factor approach for Malaysian vegetable farmers , 2013, Sustainability Science.

[40]  Jian Deng,et al.  Analysis of the ecological conservation behavior of farmers in payment for ecosystem service programs in eco-environmentally fragile areas using social psychology models. , 2016, The Science of the total environment.

[41]  A. Lansink,et al.  Understanding farmers’ intention to adopt improved natural grassland using the theory of planned behavior , 2014 .

[42]  Johan Jansson,et al.  Advances in consumer electric vehicle adoption research: A review and research agenda , 2015 .

[43]  Mohammad Reza Jalilvand,et al.  The impact of electronic word of mouth on a tourism destination choice: Testing the theory of planned behavior (TBP) , 2012, Internet Res..

[44]  Mette Møller,et al.  Understanding adolescents' intentions to commute by car or bicycle as adults , 2013 .

[45]  Anson H. Hines,et al.  Effects of anthropogenic shoreline hardening and invasion by Phragmites australis on habitat quality for juvenile blue crabs (Callinectes sapidus) , 2011 .

[46]  Icek Ajzen,et al.  The theory of planned behaviour is alive and well, and not ready to retire: a commentary on Sniehotta, Presseau, and Araújo-Soares , 2015, Health psychology review.

[47]  Rasmus Lema,et al.  Technology transfer? The rise of China and India in green technology sectors , 2012 .

[48]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[49]  Adam Reimer,et al.  The multi-dimensional nature of environmental attitudes among farmers in Indiana: implications for conservation adoption , 2012 .

[50]  R. Shepherd,et al.  Predicting intentions to purchase organic food: The role of affective and moral attitudes in the Theory of Planned Behaviour , 2008, Appetite.

[51]  Adrian Furnham,et al.  Public Attitudes, Lay Theories and Mental Health Literacy: The Understanding of Mental Health , 2012 .

[52]  Nabsiah Abdul Wahid,et al.  Investigation of green marketing tools' effect on consumers' purchase behavior , 2011 .

[53]  I. Ajzen,et al.  Predicting dishonest actions using the theory of planned behavior , 1991 .

[54]  Ian J. Deary,et al.  The Role of Attitudes and Objectives in Farmer Decision Making: Business and Environmentally‐Oriented Behaviour in Scotland , 2008 .

[55]  Seline S. Meijer,et al.  Tree planting by smallholder farmers in Malawi: Using the theory of planned behaviour to examine the relationship between attitudes and behaviour , 2015 .

[56]  A. Vatn,et al.  Norwegian farmers’ perspectives on agriculture and agricultural payments: Between productivism and cultural landscapes , 2015 .

[57]  Leonardo A. A. T. Sambodo.  The Decision Making Processes of Semi-commercial Farmers: A Case Study of Technology Adoption in Indonesia , 2009 .

[58]  D. Zilberman,et al.  Economic Factors Affecting Diversified Farming Systems , 2013 .

[59]  Thomas Koellner,et al.  Do attitudes toward ecosystem services determine agricultural land use practices? An analysis of farmers’ decision-making in a South Korean watershed , 2013 .

[60]  Anastasia Papazafeiropoulou,et al.  Why people keep coming back to Facebook: Explaining and predicting continuance participation from an extended theory of planned behaviour perspective , 2013, Decis. Support Syst..

[61]  Bruce F. Johnston,et al.  Agriculture and Structural Transformation : Economic Strategies in Late-Developing Countries , 1975 .

[62]  Jillian Anable,et al.  The role of instrumental, hedonic and symbolic attributes in the intention to adopt electric vehicles , 2013 .

[63]  David Zilberman,et al.  Adoption of Agricultural Innovations in Developing Countries: A Survey , 1985, Economic Development and Cultural Change.

[64]  Manu E. Saunders,et al.  Pollinators, pests, and predators: Recognizing ecological trade-offs in agroecosystems , 2016, Ambio.

[65]  M. Khan,et al.  Effects of ammonia and root-knot nematode on tomato , 1995 .

[66]  Md. Mahmudul Alam,et al.  Climate change induced adaptation by paddy farmers in Malaysia , 2012, Mitigation and Adaptation Strategies for Global Change.

[67]  Casper Boks,et al.  From best practices to bridges for a more sustainable future: advances and challenges in the transition to global sustainable production and consumption: Introduction to the ERSCP stream of the Special volume , 2015 .

[68]  David L. Sunding,et al.  The agricultural innovation process: Research and technology adoption in a changing agricultural sector , 1999 .

[69]  Y. L. Chiew,et al.  Current state and environmental impact assessment for utilizing oil palm empty fruit bunches for fuel, fiber and fertilizer – A case study of Malaysia , 2013 .

[70]  Mithilesh Kumar Jha,et al.  Jatropha curcas phytotomy and applications: Development as a potential biofuel plant through biotechnological advancements , 2016 .

[71]  David B. Richardson,et al.  Electric vehicles and the electric grid: A review of modeling approaches, Impacts, and renewable energy integration , 2013 .

[72]  Gerrard Macintosh,et al.  Retail relationships and store loyalty: A multi-level perspective , 1997 .

[73]  Matthias Fink,et al.  Robustness of the Theory of Planned Behavior in Predicting Entrepreneurial Intentions and Actions , 2015 .

[74]  I. Ajzen.  The theory of planned behaviour: Reactions and reflections , 2011, Psychology & health.

[75]  J. Riet,et al.  Understanding farmers' decisions with regard to animal welfare: The case of changing to group housing for pregnant sows , 2012 .

[76]  Linda Steg,et al.  Can Protection Motivation Theory predict pro-environmental behavior? Explaining the adoption of electric vehicles in the Netherlands , 2014 .

[77]  Tahir Rehman,et al.  Using social-psychology models to understand farmers’ conservation behaviour , 2000 .

[78]  S. Nordin,et al.  Benefit of One Baja Fertilizer for Attaining Agricultural Sustainability among Malaysian Paddy Farmers: Agricultural Sustainability among Malaysian Paddy Farmers , 2017 .

[79]  Cheng-Wu Chen,et al.  Linking the balanced scorecard (BSC) to business management performance: A preliminary concept of fit theory for navigation science and management , 2010 .

[80]  E. Talamini,et al.  The organic food market: a quantitative and qualitative overview of international publications , 2015 .

[81]  A. Wiredu,et al.  Factors influencing willingness to participate in multi-stakeholder platform by smallholder farmers in Northern Ghana: implication for research and development , 2014, Agricultural and Food Economics.

[82]  T. Milfont,et al.  Psycho‐Social Factors Influencing Forest Conservation Intentions on the Agricultural Frontier , 2014 .